Request a Software Demo

See why EMA says "FixStream is a vendor to watch very closely."

Please share your email to download the report

Download Document

Download Document

Download Document

Posts By : Bishnu Nayak

Diagram: Hybrid IT Infrastructure, Applications, Business Transactions
FixStream Launches Industry’s First Visual Artificial Intelligence Platform To Predict Business Application Issues Across Hybrid IT

AIOps Platform Combines Auto-Discovery, Correlation and Visualization with Machine Learning to Predict Failure Points Across Hybrid IT Stacks

SAN JOSE, CA —May 15, 2018 FixStream, a pioneer in solutions for Artificial Intelligence for IT operations (AIOps), today introduced an advanced version of its product, the industry’s first AIOps platform to quickly predict business application issues across an enterprise’s entire hybrid IT stack. With new Machine Learning (ML) algorithms, advanced multi-layer correlation from business transactions to application services and infrastructure, FixStream can now rapidly identify issues that can significantly impact business in minutes instead of hours.  The new FixStream AIOps platform can quickly detect patterns to predict and prevent future business outages, modernizing IT operations management while increasing revenues, customer satisfaction, and business agility.

With the rapid pace of digital transformation and the need for on-demand access 24/7, companies rely on their applications to do business more than ever before.  When an application goes down even for just a few minutes, IT can take days or weeks to resolve issues, costing millions of dollars in revenue. It is very challenging for IT teams to pinpoint and resolve these issues due to the increasing growth of real-time business transactions, and the complex nature of today’s dynamic hybrid and software-defined technologies. Today’s domain-centric tools and technologies make routine IT operations cumbersome and time-consuming, putting companies’ business at risk.

“We are modernizing IT, giving it a seat at the executive table,” said Sameer Padhye, Founder and CEO of FixStream. “FixStream’s multi-layer correlation, visualization and machine learning capabilities across business KPI’s, applications and infrastructure is a gamechanger, reducing the complexity of how enterprises identify issues across their IT infrastructure and saving millions in revenue by predicting outages in the future.”

New Machine Learning (ML) Capabilities to Detect Patterns and Prevent Business Outages
FixStream applies a proprietary machine learning algorithm to contextually correlated data to automatically discover patterns, so IT operations can predict and visualize future outages. As a result of deep learning insights, IT teams can significantly reduce troubleshooting efforts from weeks, months, or days down to minutes. New ML capabilities include:

  • Dynamic Thresholding and Multivariate Anomaly Detection – IT staff can now identify a sequence or group of anomaly events for transactions, applications and infrastructure entities that may impact a business application (i.e.-unplanned events such as DDOS attack or better plan for Black Friday)
  • Sequential Pattern Analysis for Incident Prediction – IT staff can now identify and visualize in seconds the sequence of correlated events that have impacted a specific application or business process and identify patterns with probabilities to predict future incidents (i.e.- predict eCommerce transactions such as ordering new service or paying bills will stop working after one hour due to a detected alert to prevent the incident from happening).
  • Disk/Network Bandwidth Predictive Analytics – IT teams can now analyze historical trends around the utilization of an infrastructure resource and predict when the infrastructure entity will run out of capacity. Now IT operations can proactively plan to add more capacity before an event negatively impacts the business.

“FixStream’s end-to-end view across all domains – business-critical applications and infrastructure – and its ability to accelerate IT problems resolution is unlike any operations platform I have seen before, capable of reducing MTTR by four times,” said Mike Fischer, CDO at Hertz and former SVP, Global IT Operations at First Advantage. “As networks get more dynamic, finding out why outages are happening is more challenging for IT executives. The FixStream AIOps platform will give them unprecedented insights into their companies’ mission-critical business processes to rapidly identify issues and predict outages, saving crucial time and allowing them to solve problems faster.”

“FixStream’s approach to infrastructure management is unique in that it addresses the user experience holistically – from the application to the infrastructure that supports it,” said Mike Jude, Research Manager, Big Data Analytics, Stratecast, Frost & Sullivan. “The application of AI technologies to preemptively address user impacting issues before the user sees them is innovative, and combining such capabilities with an end-to-end management approach means that FixStream is likely to predict more faults before they can occur than other infrastructure management tools.”

About FixStream
FixStream is the Artificial Intelligence company for IT Operations. With FixStream’s industry-first multi-layer correlation, visualization and prediction of business application issues across an enterprise’s entire hybrid IT stack, IT operations can now get real-time insights and powerful analytics to prevent outages and increase revenues.

For additional information, visit http://fixstream.com, or connect with FixStream on LinkedIn and Twitter.

Contact
Jennifer Chau, 408-394.4478
[email protected]

Diagram: Hybrid IT Infrastructure, Applications, Business Transactions
Flying High With AI How Machine Learning Powers AIOps, Correlation & Analytics

Flying High With AI
How Machine Learning Powers AIOps, Correlation & Analytics

By Bishnu Nayak

Digital disrupters have accelerated the pace of business. They’ve prompted digital transformation across organizations and industries. That has led to more departments within more businesses adopting more connected applications.

That has created greater reliance on underlying enterprise networks on which these critical business applications run. The infrastructure is becoming more distributed, heterogeneous, intelligent, open, and virtualized to support the growth, agility, and scale of the business applications.

Application architecture is changing to adopt newer technologies such as containers. That allows deployment of the application entities in multiple data center and cloud environments, which can scale dynamically. (In October, DockerCon Europe reported that 24 billion containers have been downloaded.)

Business network elements frequently come from a wide variety of hardware and software suppliers. And these networks are only becoming more diverse given the movement by business networking professionals to avoid vendor lock-in, embrace open architectures, and use best-of-breed solutions.

The changes in the dynamic application environment happen very abruptly. So it’s impossible to track the changes and correlate the events using legacy techniques. Manual processing of massive amounts of data – which is dynamic across the stacks – to identify patterns, anomaly scenarios, and predict capacity requirements is almost impossible. That, in turn, poses tremendous business risks and hinders business innovation

So, what’s the solution?

A solution that combines the power of machine learning with the ability to auto-discover and correlate entities across critical layers of digital business – business, application, and infrastructure.

Artificial intelligence and machine learning are not a replacement for people in this scenario. Rather, they help humans perform day to day IT operational tasks such as troubleshooting, capacity management, migration, and planning.

 “Most recent advances in AI have been achieved by applying machine learning to very large data sets,”

notes McKinsey & Co. “Machine-learning algorithms detect patterns and learn how to make predictions and recommendations by processing data and experiences, rather than by receiving explicit programming instruction. The algorithms also adapt in response to new data and experiences to improve efficacy over time.”

Machine learning can correlate and analyze data from multiple enterprise application and infrastructure domains, dealing with the volume, velocity, and varieties of data generated. It can uncover patterns to show what has occurred. It can use current conditions and past learning to spot exceptions and predict the future. Machine learning can even offer suggestions on what to do in various scenarios.

AIOps platforms leverage machine learning to deliver AI capabilities for IT operations. Here are some interesting use cases.

  • Multivariate anomaly detection can identify anomaly scenarios across various dependent entities. Such anomalies may signal that a planned or unplanned business event has taken place. For example, a multivariate anomaly group may represent an unplanned event like a DDoS cyberattack or a planned business effort such as Black Friday event.
  • A time-series sequential pattern detection algorithm can predict business outages triggered by events anywhere in the stack business functions are deployed.
  • It’s also possible to use AI and machine learning to predict when you’ll run out of capacity. For example, it could signal a potential lack of storage disk volume and excessive network bandwidth use of a router. Such information helps IT experts do proactive capacity planning to better meet business needs.

Machine learning automates IT operations and can notify operations teams of potential business outages before they happen. It also can detect security issues, identify infrastructure performance bottlenecks, and recommend capacity augmentation and optimization.

IT teams can then set systems to trigger actions for remediation. Executing remediation scripts or integrating with other orchestration and automation tools to take actions minimizes human tasks.

Proactively detecting issues and fixing such issues enables business continuity and assures customer satisfaction. In the age of digital transformation, such capabilities and AIOps solutions are an absolute must.

With machine learning, IT staff can continually and completely look for traffic exceptions. So IT experts can be far more effective in preventing and quickly responding to cyberattacks. So businesses can stay up and running, and stay out of the headlines.

These are just a few reasons why AI and machine learning have become key components of digital transformation. And that’s only going to accelerate moving forward.

“During the next few years, the technologies associated with this [digital transformation] wave — including artificial intelligence, cloud computing, online interface design, the Internet of Things, Industry 4.0, cyberwarfare, robotics, and data analytics — will advance and amplify one another’s impact,”

note PwC analysts Leslie H. Moeller, Nicholas Hodson, and Martina Sangin.

Forrester Research says more than half of organizations already have implemented some form of an AI project. And it says another 20 percent are planning AI projects in the near future.

Your business and its IT staff should be thinking about how you can benefit from AI and machine learning too.

If you’re still on the fence, think of it like this. Machine learning is to network operations as air traffic control is to airline operations.

There are about 5,000 airplanes in the sky every hour in the U.S.
So you can’t use manual processes to track planes as they move around. It would be near impossible, and just plain dangerous.

So we use air traffic control to manage the chaos. The air traffic control system helps experts keep track of all the traffic (airplanes) among the different domains (various airports and airlines).

By bringing together the various data points and presenting a complete view of what’s happening, air traffic control helps avoid crashes and enables smoother traffic flow.

Machine learning likewise enables data correlation and analytics. That way, IT experts can keep the network and its applications running safely and on time. And that allows organizations to deliver better and safer customer experiences, make better use of their human and technological resources, and keep their applications and businesses moving forward.

That’s why artificial intelligence and machine learning are key technology enablers of the FixStream AIOps solution. They’re the AI in AIOps.

On behalf of FixStream and the entire crew, I’d like to thank you for joining us on this trip. We look forward to seeing you on board again in the near future. Have a nice day. (Sorry, I couldn’t resist!)

In my next blog, I’ll talk about automation.

Bishnu Nayak is the CTO for FixStream.

How AIOps Can Ensure SAP ERP Performance, Availability

How AIOps Can Ensure SAP ERP Performance, Availability

By Bishnu Nayak

All major businesses these days use enterprise resource planning (ERP) platforms. You probably use one yourself.

As you probably already know, ERP software helps organizations more efficiently handle billing, customer management, human resources matters, ordering, provisioning, supply chain management, and more. ERP software also can allow for better decision-making and increased agility.

Clearly, ERP systems have a lot of functionality. And businesses rely on that functionality to keep their organizations up-and-running and the wheels of industry turning.

A Complex Situation

Because these platforms do so much, they are quite complex and consume lots of resources. ERP systems employ an array of software running on various infrastructure in many data centers.

So there are lots of moving pieces, and those piece parts can be widely distributed. That creates a lot of opportunity for problems that can adversely impact ERP performance and customer SLAs.

For example, a problem with a server or a network switch or router can cause a kink in a company’s invoicing or order booking process. This kind of thing can interfere with an organization providing its customers with their bills.

You don’t need me to tell you that is a big problem.

The Cost of Delay & Outages

This kind of a situation can confuse and frustrate customers. Worse yet, it can mean late or lost payments, creating cash flow issues for the company providing the product or service.

But that’s just one example of the kind of thing that can go wrong. There are plenty of real-life examples of how ERP- and IT-related outages hurt businesses.

A few years back HSBC had a problem with a software update. As a result, thousands of the bank’s customers couldn’t cash their paychecks. Worse yet, this occurred just before a holiday weekend.

More recently, the failure of a power system in a British Airways data center resulted in canceled flights affecting more than 75,000 passengers. The airlines ended up paying $68 million in passenger reimbursement costs. And its parent company experienced a 2.8 percent stock price drop.

According to Gartner, the average cost of IT downtime is $5,600 per minute – or $300,000 an hour.

So businesses clearly want to avoid these kinds of scenarios. But it can be challenging to identify and address the sources of such issues. That challenge is even more daunting when it involves a distributed, multi-application ERP.

That’s why FixStream introduced AIOps in SAP. This solution provides multilayer correlation for SAP ERP users like you.

Ensuring Availability & Performance

AIOps in SAP allows you to quickly understand problems so you can take action to correct them before it impacts your customers and your business. That helps your business to increase customer satisfaction, better retain customers, protect your reputation, attract new customers, and grow your customer spend.

The top layer of FixStream’s AIOps in SAP focuses on business process KPI and SLA. It knows how many orders should be processed in an hour. It also understands how long it should take for an order to be processed from beginning to end.

The application layer is the second tier of AIOps in SAP.  It addresses every application in SAP (or Oracle, the other major ERP supplier). That could be a server, a database, or a business process defined within the application tier.

The third layer is the infrastructure layer. That’s made up of physical and virtual compute, network, and storage resources.

FixStream’s AIOps correlates data from those three layers and applies an algorithm on top of it. This data correlation and analysis enables AIOps in SAP to address a variety of use cases.

The Use Cases

For example, AIOps in SAP flags when an SLA violation occurs because processing of customer orders is stuck. FixStream’s AIOps then sets out to identify the source of the trouble via data correlation and analysis.

AIOps in SAP also can predict when things are headed for trouble. It does that by identifying repeating patterns and dependencies.

For example, FixStream’s AIOps can understand from past data that Black Friday is a high-volume order day. And it can see that when you have more than X number of orders, your order processing getter slower. This kind of information enables your business to address that potential problem – by allocating more resources to enable fast ordering during Black Friday – so your ordering process continues to move forward at the desired pace.

FixStream also addresses capacity management. So if, for example, the number of orders your ERP processes has been ramping up monthly over the past nine months, AIOps in SAP reveals that. FixStream also provides you with a holistic view of what you have and what your business needs in terms of compute power, network resources, and storage. That means you won’t be caught off-guard by changing resource requirements.

There’s one more really important thing that AIOps in SAP addresses: IT compliance.

FixStream automates IT compliance efforts, which today are typically done using manual processes. We enable that via FixStream’s data explorer capability.

Our data explorer provides automated, up-to-date reports of all domains. That reduces the time it takes for IT personnel to ensure compliance.

As a result, IT teams can more quickly and easily see if the organization is running the latest software release, has the needed patches in place, and the like. That beats today’s manually-intensive audits, which require more IT team resources and can take one or two months to complete. So IT team can focus on value-added efforts and spend less time just keeping the lights on.

ERP Assurance & IT Resource Optimization

Forrester has reported that 69 percent of IT budgets go to maintenance and operations. The other 31 percent go to new projects – with just 14 percent of that going to investments for customer-facing and new business opportunities.

But there’s a widespread acknowledgement that digital transformation is changing the role of IT and how IT dollars should be allocated.

So IT teams need sophisticated – but easy-to-use – tools so they can ensure the performance and availability of key applications. That includes the applications supported by ERP systems, on which their employers and customers rely.

FixStream AIOps facilitates digital transformation by automating the discovery and mapping of critical processes like order-to-cash to the underlying application and infrastructure entities. By doing so, it enables IT operations to analyze mission-critical business processes, reduce mean time to repair, and predict occurrence of issues across any portion of their hybrid IT stack.

It provides customizable, single-pane-of-glass views of SAP ERP businesses processes and their operational health. It groups applications into logical business processes like O2C, P2P, SCM, and eCommerce. It provides auto-discovery of SAP ERP business processes and applications across hybrid IT environments. And it visualizes data to help people easily see what’s happening.

And, as noted earlier, it does automated correlation of SAP ERP business KPIs to application and system errors; allows for faster root cause identification of SAP ERP issues; and detects anomalies and patterns to allow businesses to address issues before they affect business operations and customers.

In my next blog I’ll tackle the subject of migration.

FixStream Accelerates the Delivery of Business Workloads in a Nutanix Enterprise Cloud Environment

As originally published on Nutanix.com

This guest post was authored by Bishnu Nayak, FixStream Inc. CTO

In September 2016, I met and presented FixStream’s Algorithmic IT Operations (AIOps) platform to Nutanix’s Alliance and Alliance Engineering team. They noticed very quickly that FixStream addresses an important need for their customers – delivering an operational analytics platform that ensures service assurance of critical business workloads deployed on the Nutanix Enterprise Cloud infrastructure.

Built on cutting-edge Big Data technologies, FixStream’s correlation, analytics and visualization platform provides application-centric visibility in a hybrid IT environment by correlating across end-user transactions, applications and infrastructure layers. Its platform adds tremendous value in customers’ heterogeneous environment where Nutanix Enterprise Cloud is deployed, along with other multi-vendor infrastructure technologies.

We decided to work with Nutanix as our first HCI partner for several reasons – first we were impressed with their architectural approach to a hyperconverged solution; built ground up while keeping ecosystem innovation in mind. Second Nutanix presence in IT is very complementary to FixStream’s strategy in that both Nutanix and FixStream’s solutions enable customer to accelerate migration to a hybrid cloud environment.

Last (but not least) we have always been intrigued by the partner-centricity embedded in the company culture and vision. it’s pervasive in how Nutanix onboards, validates and market with its industry peers and partners.

Per Gartner, algorithmic IT operations platforms enable I&O leaders to meet the proactive, personal and dynamic demands of digital business by transforming the very nature of IT operations work via unprecedented, automated insight

“AIOps platforms utilize Big Data, modern machine learning, and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation, and service desk) functions with proactive, personal, and dynamic insight.” (Gartner – “Innovation Insight for Algorithmic IT Operations Platforms”– Colin Fletcher, Refreshed: 26 April 2017 | Published: 24 March 2016)

Soon after our initial meeting, we entered into an official partnership agreement with Nutanix and with their support, developed a solution that was released in FixStream 6.0. The Nutanix alliance team has been extremely collaborative working with our R&D and engineering teams, ensuring the successful delivery of the desired capabilities.

FixStream delivers much-needed visibility and analytics for enterprises to successfully deploy critical business applications into Nutanix-powered (AHV or VMware hypervisor) environments and troubleshoot, plan and maintain going forward.

The FixStream platform:

  • Auto-discovers compute, storage, network entities from the Nutanix Enterprise Cloud environment by using Nutanix REST APIs and other FixStream native data collection techniques
  • Provides topology analytics across the entire customer network and visually represents how Nutanix Enterprise Cloud appliances connect with the end to end enterprise network, including virtual and physical networks, links, and interfaces
  • Auto-discovers application services such as app servers, databases, and web servers, running on Nutanix managed VMs, network flows, and available paths in/out into other entities in the network
  • Auto-discovers application dependencies and delivers application maps by connecting the underlying physical, virtual and logical entities in network, compute and storage with dynamic computation of network and storage path for application flows. It’s like Google Maps for critical enterprise business applications
  • Collects performance metrics, alerts and faults from all entities in the map and algorithmically correlate the events using time series analytics to identify patterns and anomalies. It then provides proactive and predictive remedial actions. For example: a business application’s performance slows down every Monday at peak hour. At the same time, the VM where the application service is running runs at high CPU, and the pattern repeats every week. FixStream identifies the trend and provides a remedial recommendation to proactively provision more CPU to the VM
  • Stores collected data contextually in a linearly scalable backend search database, allowing users to automate IT compliance and reporting functions

FixStream for the Nutanix Enterprise Cloud environment enables significant ROI for enterprises customers. According to the Digital Enterprise Journal (DEJ – 2017), 80% of companies surveyed experienced an average MTTR of 4.2 hours. The cost of a minute of service outage was $72,000 if revenue was lost. FixStream can reduce MTTR to minutes, therefore allowing companies to potentially save millions of dollars.

As technology transforms, it requires millions of data points to be manually correlated for daily operational activities such as planning, migration, workload placement, troubleshooting, and change management. This makes the activities extremely expensive, risky for business, and prone to errors.

FixStream automates these tasks by correlating these data points across transactions, applications and infrastructure.

The FixStream solution for the Nutanix environment delivers the following key business values:

  • Accelerates migration to Nutanix – With the end-to-end visualization, correlation and dependency mapping capabilities of FixStream, enterprises can now migrate from older infrastructure technologies to Nutanix HCI technology significantly reducing unforeseen business risks. The FixStream topology map, application dependency map, and data explorer capabilities provide the analytics required to plan and execute the transformation activities while lowering cost via FTE reduction and assuring performance of business services.
  • Automates troubleshooting of business outages and reduces MTTR from hours to minutes – FixStream’s application map and time series event correlation pinpoints the exact root cause of the problem in the Nutanix Enterprise Cloud infrastructure, as well as connectivity to larger corporate network connected to Nutanix real-time. This reduces the MTTR from hours to minutes. The FixStream platform proactively identifies performance bottlenecks and notifies the operations team to take corrective actions.
  • Resource Optimization and Application Workload Management – Through its performance Heatmap, FixStream provides analytics to operations team to realign resource allocation for optimization and cost reduction. Additionally, the Heatmap provides insights on available resources for new workload placement based on specific requirements for memory, disk and CPU. Automates IT Compliance and Reporting – Cross-domain, cross-vendor data across network, storage, compute and application are discovered by FixStream and stored in the backend ElasticSearch database. This allows allows users to query data for hierarchical output as needed for compliance analysis and reporting. The automation of this quarterly IT compliance activity significantly reduces costs for enterprises.

We are very excited to jointly launch this solution in the market and help Nutanix customers realize the benefits of FixStream’s innovative AIOps platform capabilities. For more details on this solution, please visit our website.

Disclaimer: The views expressed in this blog are those of the author and not those of Nutanix, Inc. or any of its other employees or affiliates. This blog may contain links to external websites that are not part of Nutanix.com. Nutanix does not control these sites and disclaims all responsibility for the content or accuracy of any external site. Our decision to link to an external site should not be considered an endorsement of any content on such site.

© 2017 Nutanix, Inc. All rights reserved. Nutanix is a trademark of Nutanix, Inc., registered in the United States and other countries. All other brand names mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s).

Open Data Ingestion and API Driven Architecture by FixStream

Open Data Ingestion and API Driven Architecture by FixStream

By Bishnu Nayak

In my last blog, I discussed the need for auto-discovery in hybrid IT environments and the business values that enables for enterprises. In this blog, I will focus on an open API data ingestion architecture strategy that further leverages the power of auto-discovery and correlation to unify the heterogeneous IT operations landscape.

Enterprise IT environments are becoming increasing complex with hybrid IT deployment models with virtualization, cloud, containers, and software defined-architectures. New technology adoption introduces newer management and operations tools. The number of tools used to manage the hybrid environment is increasing across various operations domains such as infrastructure monitoring, ticketing, orchestration, automation, application management, security, etc.

In fact, more than 35 percent of IT professionals surveyed said there are too many tools and dashboards. They say this disjointed situation makes them slower to respond to critical issues and identify sources of trouble.

Nemertes Research’s John Burke says the more toolsets, the tougher it is to use them effectively.

That said, the fact is many of these tools are important to IT. And they’re not going away any time soon, at least not all of them.

So what’s the solution? The solution is to bring these tools together to a unified operations view via open API data ingestion and a single-pane-of-glass approach.

That’s exactly what FixStream has done with its Artificial Intelligence for IT Operations, or AIOps, platform.

 

FixStream AIOps platform is built on an open API data ingestion architecture. The open API data ingestion layer is built on a robust set of APIs used for communication with different domain specific tools. APIs are at the heart of the open API data ingestion architecture, which allows for data collection from the following categories of tools in a standard way:

  • Application Performance Management (APM) solutions like AppDynamics and New Relic
  • IT Operations Management (ITOM) software like Nagios and SolarWinds
  • IT Service Management (ITSM) systems like BMC Remedy and ServiceNow
  • Security Information and Event Management (SIEM) offers from Splunk and others

The ability to do open API data ingestion from an array of data sources is critical. It allows for an accurate, real-time view of all the moving parts in hybrid IT environments. That includes all applications, all business transactions, and all infrastructure.

 FixStream has enabled this via the introduction of connectors and Southbound APIs. We have put together some prepackaged connectors for the most popular tools in use today. Additionally, our APIs enable FixStream’s industry colleagues and customers to build their own connectors.

 As you know, APIs are bridges that connect software together. Forrester Research has called the API the poster child of digital transformation. That’s because APIs enable different systems to work together for more efficient operations and better outcomes.

For our customers, FixStream’s APIs and connectors add up to ease of use, elimination of siloes, great efficiency, and more intelligence. They enable users to get more value out of AIOps and from their existing tools too. The value of disparate, domain-specific data that exist in domain-centric tools is significantly enriched when ingested into the FixStream AIOps platform, powered by its multi-domain, multi-vendor and multi-layer correlation.

Getting an end-to-end view of your applications and network resources requires a lot of things to come together. And our APIs – and related connectors – help make that happen, and build value in the process.

Our open API approach for ecosystem enablement is in many ways similar to the disruption that happened in the smartphone mobile app ecosystem.  Smartphones deliver powerful open platforms such as iOS or Android for developers all over the world. That enables those developers to deliver powerful applications that run on the smartphone O/S.

FixStream’s open API data ingestion is pivotal to build a community and ecosystem for enablement of data ingestion from various sources. That enables our partners, customers, third-party vendors and developers to build connectors to ingest data to FixStream to leverage the power of FixStream AIOps.

I am very excited about the opportunities and benefits it will enable for our partners and customers to drive business value.

How Best to Collect Unstructured Data from Hybrid IT

How Best to Collect Unstructured Data from Hybrid IT

Auto-Discovery Provides a Simple, Scalable, Automated Approach

By Bishnu Nayak

We live in a world that is massively distributed, disparate and diverse.

There are a lot of different people speaking various languages, and different cultures. If you can interact with these individuals in their language, you can learn a lot. And the broader knowledge and insights can significantly benefit people as well as businesses across the world.

Enterprise networks are worlds of their own. And in some ways, they mirror this larger disparate world.

Enterprise hybrid IT data centers contain lots of entities across network, compute, and storage supplied by different technology vendors. The vendors that supply these technologies have their own cultures, their own syntax and languages on how they manage and interact with other entities in the IT environment.

But if you can interact with these distributed entities in a normalized way and understand how they relate to one another, you can derive a deeper understanding into the end-to-end environment. That understanding helps enterprises manage their IT environments optimally and profitably.

My point is that we live in a diverse world. And when we collect information about different entities across the world from different sources, we gain greater understanding. That can help improve human lives. I mention this because FixStream AIOps platform helps business to improve their IT operations by understanding their application and IT infrastructure resources.

FixStream AIOps technology can

  • collect data from disparate IT entities and siloed systems
  • correlate and analyze the flood of data from different sources
  • and present that information in a way that makes it quick and easy for businesses to understand and gain value from it.

Sameer Padhye has blogged about the data correlation and visualization aspects of FixStream’s AIOps solution. (I should note here that AIOps stands for Artificial Intelligence platform for IT Operations.)

But  before data is correlated and visualized, it needs to be collected from millions of disparate datasources. And FixStream uses its smart auto-discovery solution for optimal data collection.

So, I’m going hit the rewind button with this blog and address the first step in the process.

Auto-discovery in this context describes the process of automatically fetching lots of data from many disparate sources. FixStream can do that because it knows how to communicate with the various infrastructure and application entities. Data is collected by FixStream data collectors from all kinds of entities –switches, routers, load balancers, firewalls, servers, storage devices, hypervisors, VMs, application entities – both physical, virtual as well as logical.

FixStream is vendor agnostic. So, it doesn’t matter if the entity comes from Cisco, HP, IBM, Nutanix, Juniper, VMware, or some other supplier.

FixStream knows how to normalize and make sense of the massive amount of data it collects using a semantic model. And it can do that regardless of the physical location of those entities across hybrid enterprise network.

That’s really useful, especially considering that complex IT environments typically lack a real-time inventory of assets. FixStream addresses that gap. Our hybrid cloud discovery capability provides a reliable and up-to-date inventory of enterprise compute, network, storage, and application environments.

Here’s how it works. Data collectors scan IP addresses in network subnets or user input boundaries to learn about infrastructure. FixStream can then identify the make and model of an and uses the vendor-specific command library to learn how it’s configured, and other topology-related data such as dynamic table, interfaces, MAC addresses, routing information, and VLANs, etc.

That allows FixStream to provide a topology map that illustrates the relationships among all IT entities. FixStream also does automatic and dynamic discovery and mapping of applications and their infrastructure dependencies.

The contextual maps are then correlated with alerts, faults, log events, and tickets ingested from different sources via the FixStream Open API ingestion layer.

This discovery, correlation and mapping delivers tremendous operational and business value to our customers. For example, if you’re doing maintenance on a device, you can see what else is connected to it. If you are doing a migration, you can easily understand the dependent systems that can be impacted. This end- to-end correlated view allows enterprises to do faster root cause analysis, lowers business risk, and eases migration challenges.

Many of our competitors lack such capabilities. Some have them, but their approaches to auto-discovery are less than optimal. To be frank, they tend to be quite basic.

By comparison, FixStream auto-discovery allows for a very rich data experience. Our approach is extremely granular with derivation and analysis of relationship data such as hierarchies, links, and relationships across all the IT entities.

For example, the platform derives the parent-child relationships between hypervisors and all VMs hosted in it. That shows the links between the VM to hypervisor to the TOR switch they are connected with. And the FixStream AIOps solution derives all available network paths between all compute, storage, and network entities and correlates them to application flows (Flow2Path analytics). That helps IT teams with troubleshooting, maintenance, and to make more effective use of their resources.

You don’t know what you don’t know. So FixStream auto-discovery solution helps you to know the unknowns.

Some FixStream customers have uncovered assets they didn’t even realize they had. It was a nice surprise. But the fact that some businesses lose track of their IT assets isn’t particularly surprising. It’s easy to do.

FixStream discovery process enriches the value of ITSM systems by feeding the discovered data to CMDBs of ITSM systems. Traditional CMDB discovery and update process lacks the knowledge of relationships between compute, storage, network and application layer and FixStream provides rich relationship data across all layers to CMDB, further enhancing the ITSM processes such as incident, change, config and asset management.

FixStream cloud discovery makes it just as easy to identify the underutilized resources and repurposes them for business services that need additional capacity. As a result, businesses don’t have infrastructure assets sitting idle. And they can use their limited budgets on things they really need.

Knowing what’s in your network is also important from a compliance and security standpoint. If you don’t know what’s in your network, you can’t keep tabs on what’s happening with it.

It’s also important to note that FixStream’s auto-discovery approach is agentless, so it’s not intrusive.

With agentless auto-discovery there’s no need to deploy agents on the devices from which data is collected. That means businesses don’t have to install agents on thousands or tens of thousands of devices. And they don’t have to worry about implementing different agent versions to address various vendor solutions.

All of the above illustrates how FixStream makes data collection simple and scalable. Even in hybrid cloud, multi-cloud, multi-domain, and multi-vendor environments.

Not only that, but we make sure you’re collecting the right kind of data. Once we do that, FixStream uses AIOps to aggregate, correlate, analyze, and visualize your data. All that adds up to new value for your business.

FixStream continues to add value to AIOps ecosystem through its data collector and open API architecture. Our open architecture means new collectors can be built in a one to three months release cycle. And third parties can now build collectors based on the FixStream open architecture too.

(In my next blog, I’ll talk more about the importance of APIs and open data ingestion.)

But for now, let me leave you with this quote from author and speaker Deepak Chopra.

“Success comes when people act together. Failure tends to happen alone.”

The same could be said of data in the IT operations management, planning, and troubleshooting realm.

IT environments today are made up of many different and disparate entities. The cloud and virtualized technologies like containers, microservices, virtual machines, and network functions have added to the chaos.

Businesses, which are increasingly reliant on connected applications, need to get a handle on all this. They can do that by correlating, analyzing, visualizing, and acting on an array of data.

That’s the only way organizations can avoid failure, optimize networks, and ensure application – and business – success. And auto-discovery is the first step in that process.

Getting a Handle on AIOps And Learning What These Platforms and Solutions Can Do for You

Getting a Handle on AIOps And Learning What These Platforms and Solutions Can Do For You

By Enzo Signore & Bishnu Nayak

As the headline suggests, we wrote this blog to inform readers like you about AIOps. The first question many of you probably have is: What the heck is AIOps?

Excellent question.

The simple answer is that AIOps stands for Artificial Intelligence for IT Operations. It’s the next generation of IT operations analytics or ITOA. And its value is in helping organizations address IT challenges on a number of fronts.

These challenges include:

  • The increasing complexity and dynamic nature of IT architectures
  • Digital business transformation
  • Siloed IT operations
  • Exponential data growth

All of the above render traditional, domain-centric monitoring and IT operations management inadequate. Such systems can’t correlate the onslaught of data various IT domains create. What’s more, they’re unable to provide insights IT operations teams need to proactively manage their environments. And that just won’t cut it.

AIOps solutions, however, can address these challenges. They enable enterprises to unify and modernize IT operations. And they allow enterprises to make the most of their existing network investments.

Let’s confront the above-noted IT challenges one at a time. Then we’ll explain how AIOps can help your business conquer them.

The Increasing Complexity and Dynamic Nature of IT Architectures

To increase business agility, IT organizations are deploying dynamic, modern IT architectures enabled by virtualization technologies. That includes containers, elastic clouds, microservices, and virtual machines.

At least a quarter of businesses had adopted containers by late 2017. The application container market was worth $762 million in 2016. By 2022 it will balloon to $2.7 billion. The use of cloud platforms is on the rise, as more businesses migrate more applications. By July 2018, 80 percent of all IT budgets will be committed to cloud solutions.

The dynamism these architectures and technologies enables is important for businesses. It helps them adjust to the fluctuating demands of millions of digital customers around the globe.

However, that often comes at the cost of decreased visibility. That’s because application workloads and flows are now abstracted from their physical infrastructure. And that creates new challenges in pinpointing potential issues.

So without end-to-end correlated data, adoption of these key technologies can be risky and cumbersome. Because IT staff will unable to effectively map current workloads to these new environments. And they’ll struggle to manage their performance and uptime. Plus, purchasing these new technologies can be extremely expensive, and AIOps can serve as insurance that organizations get maximum ROI from those investments.

“By 2022 the applications container market will be worth $2.7 billions”

Digital Business Transformation

Enterprises across the globe are leveraging digital technology to transform their businesses. Such efforts aim to provide better experiences to their prospects, customers, suppliers, and internal stakeholders.

To succeed as digital companies, businesses need to rethink their entire IT stack and operational strategy. And they need to ground these efforts with business-first considerations.

That should include how they think about application and network uptime.

Enterprises incur an average cost of $300,000 per outage. That’s if no revenue is at stake. If the outage impacts revenues, organizations lose an average of $72,000 per minute. That means companies lose a whopping $5.6 million per outage.

You can see why modern enterprises must make applications assurance and uptime their No. 1 objective. Those that don’t could face catastrophic damage to their revenues and reputation.

“Companies lose a whopping $5.6 million per outage.”

The Problem with Siloed IT

Research suggests 41 percent of enterprises use 10 or more tools for IT performance monitoring. Seventy percent use more than six. And you need even more tools to manage a hybrid cloud environment. That will include solutions to monitor workloads running in AWS, Azure, or multi-cloud environments.

Domain-centric tools provide a deep view into a specific domain. But they lack the ability to provide a correlated and end-to-end view across domains.

That’s a problem because cross-domain data collection, correlation, and visibility are key. They can enable you to track transaction problems like failed eCommerce orders to infrastructure issues like database timeout errors, for example.

But siloed management tools prevent most organizations from making these important connections. As a result, most enterprises suffer from very longer Mean Time To Repair intervals and unhappy customers.

MTTR averages 4.2 hours and wastes precious resources. Businesses employ an average of 5.8 full-time equivalent employees to address each incident. That FTE figure is as high as 11 in 15 percent of cases.

This drain of resources and finger pointing occurs as IT staff members struggle to manually correlate data. And often a whole lot of data is involved. Solving a critical business problem often entails using hundreds of data points – imagine how complex it becomes when IT is required to use thousands or millions of data points. That’s a lot.

“Mean time to repair averages 4.2 hours and wastes precious resources.”

The Challenge of Exponential Data Growth

Indeed, millions of data points are now flowing to the IT operations team in real time. This data deluge will only accelerate as adoption of containers, microservices, and virtualization grows.

And it’s growing big time. In the last 12 months, enterprises collected 88 percent more data than the prior year. Containers alone generate 18 times more data than traditional IT environments.

There are automated ways to collect and process this massive amount of data from an individual domain, but domain specific teams then need to manually correlate it. (And 79 percent of organizations reportadding more IT staff to address this problem is not an effective strategy.) This is not only time consuming but also prone to incorrect interpretation and results, requiring skilled resources from different domains, thus leading to a very long diagnostic process for root cause identification.

“Containers alone generate 18 times more data than traditional IT environments.”

To address these challenges, organizations need a new class of technology to modernize the IT operations process. This technology needs to be able to correlate millions of data points across all IT domains. It should have the smarts to apply machine learning to detect patterns. And it should present that information so organizations can easily see what’s happening and gain insights.

This technology is what we mean when we talk about AIOps.


AIOps Defined

Gartner recognizes AIOps as a new strategic IT segment.

Artificial intelligence for IT operations (AIOps) platforms are software systems that combine big data and AI or machine learning functionality to enhance and partially replace a broad range of IT operations processes and tasks, including availability and performance monitoring, event correlation and analysis, IT service management, and automation,” (Gartner – “Market Guide for AIOps Platforms” – Will Cappelli, Colin Fletcher, Pankaj Prasad. Published: 3 August 2017)

Figure 1: Gartner’s visualization of the AIOPS platform

AIOps Platform Enabling Continuous Insights Across IT Operations Management

The general process by which AIOps platforms and solutions operate includes three basic steps.

Observe

An AIOps platform first needs to observe the nature of data and its behavior. That involves collecting information through data discovery.

AIOps data discovery needs to support big data scale. That way it can address the volume of data from different IT domains and sources. Those sources may include legacy infrastructure or new container, hybrid cloud, or virtualized environment elements.

Whatever the data or source, speed is key to the observation part of the process. So the data must be collected in near real time to detect patterns. Performance- and health-related information is collected from hundreds of sources – using an agentless or agent model. Successful AIOps platforms leverage a combination of mechanisms to collect data from a multi-domain and multi-vendor environment. That environment may include an array of containers, hypervisors, network and storage solutions, public cloud, and other technologies and architectures.

A successful AIOps platform also combines the power of big data and machine learning with domain knowledge to identify data relationships and history to solve this complex problem.

Engage

An AIOps platform provides orchestration across key IT operations domains – most importantly IT Service Management.

ITSM activities such as change management and incident management have traditionally been manual. And they’re typically heavily dependent upon the Configuration Management Database. The problem with legacy CMDBs is they are highly unreliable for environments involving frequent change.

The AIOps platform provides analytics and input to make ITSM tasks more automated and reliable. For example, AIOps can update CMDBs using its knowledge of the environment, state, and changes. The AIOps platform’s ability to observe hybrid environments on an end-to-end basis provides this power. That ensures CMDB data is relevant and reliable. That allows for automation and faster and more accurate incident management. The automation also minimizes risks that might otherwise happen due to human error. And pattern recognition allows businesses to see and address problems before they affect end-user experiences.

Act

Automation or closed loop functions is the nirvana of AIOps platform.

Of course, automating critical IT operations using machine learning is new territory for most organizations. And IT leadership will need to get comfortable with it before they fully embrace automation. But new state-of-the-art automation – which uses advanced human inputs and machine learning – is maturing. And organizations can employ it today to do both simple and more complex jobs.

For example, they can employ it to clean log files to free up space. And they can use it to restart an application. Automation also can change application traffic policy on a router if AIOps sees the need.


How and Where AIOps Delivers Value

Enterprises that have deployed AIOps solutions have experienced transformational benefits. They include revenue growth, better customer retention, improved customer experience, lower costs, and enhanced performance.

Their operational teams have been able to:

  • Increase end-to-end business application assurance and uptime
    • Manage an integrated set of business and operational metrics
    • Predict and prevent outages
    • Dramatically reduce Mean Time to Detect and Mean Time to Repair
    • Lower the number of IT FTEs dedicated to troubleshooting
    • Decrease operational noise and alerts
  • Optimize IT and reduce IT costs
    • Replace older, silo-focused IT monitoring tools
    • Auto-discover complex, heterogeneous topologies
    • Gain visibility into the hybrid IT environment
    • Accelerate migration to the hybrid cloud
    • Expedite the adoption of hyper-convergence and microservices architecture
    • Reduce risk in consolidating and migrating data centers
  • Free up resources to enable IT operations to become a proactive source of innovation
    • Automate and reduce the cost of audits and compliance
    • Simplify IT processes
    • Break down silos across their IT teams
    • Enable less experienced staff to become more productive, faster

What the AIOps Architecture Looks Like

An AIOps solution includes the following functional blocks:

We’ll address these building blocks from the bottom up because that’s how AIOps itself works.

Open Data Ingestion

An AIOps platform collects data of all types from various sources. That may include data on faults, logs, performance alerts, and tickets. The ability to ingest data from the most diverse data sources is critical. It allows for an accurate, real-time view of all the moving parts across hybrid IT environments. More about open data ingestion here.

Auto-discovery

Given the very dynamic nature of modern IT environments, businesses need an auto-discovery process. That automatically collects data across all infrastructure and application domains – including on-premises, virtualized, and cloud deployments. And it identifies all infrastructure devices, the running applications, and the resulting business transactions. Read the auto-discovery blog.

Correlation

Then it’s time for the AIOps platform to correlate this data in a contextual form. So it needs to determine the relationships between infrastructure elements, between an application and its infrastructure, and between the business transactions and the applications.

To learn more about the importance of correlation, check out this blog.

Visualization

Once the end-to-end correlation process is completed, data need to be presented in an easy-to-use format. And that’s what visualization is all about.

Visualization is important because allows IT operations to quickly pinpoint issues and take corrective actions.

Of course, visualization in IT operations has become a commodity. Every solution includes a dashboard of some type. Yet an estimated 71 percent of organizations say data is not actionable. That’s why AIOps is important. It provides a new generation of visualization that makes data actionable.

Because visualization is key, we’ve also put together a blog on this topic. You can find it here.

Machine learning

Finding the root cause of a problem is key. But it’s even more critical to determine recurring patterns and predict likely future events.

AIOps solutions use supervised and unsupervised machine learning to determine patterns of events in a time-series. They also detect anomalies from expected behaviors and thresholds and predict outages and performance issues. Learn more about machine learning here.

Automation

Automation is a key component of AIOps as it delivers the end ROI to the customer. It does so by automating human IT ops tasks, reducing significant OPEX, and expediting innovation. And it reduces MTTR and can improve customer satisfaction.

AIOps enables IT operations to modernize existing processes. It allows IT Operations to make progress vs traditional ITOA strategies, abandon old, reactive processes, and become proactive, by predicting issues and preventing outages.

By providing an end-to-end correlated view of the entire IT environment, AIOps allows enterprises to accelerate their digital transformation strategies, adopt new technologies faster, and increase business productivity.

To learn more about FixStream, check out our AIOps solution whitepaper.

FixStream Unveils Industry-first AIOps Platform for Oracle ERP

Out-of-the-box discovery and correlation of Oracle ERP business processes and transactions with infrastructure

Preserves speed of digital transformation and breaks down the barriers of communication between IT and business operations.

SAN JOSE, Calif. (October 2, 2017) –FixStream, an award-winning Artificial Intelligence for IT Operations (AIOps) vendor, announced today the commercial availability of its solution for Oracle ERP, an industry first.

“The business is accelerating so quickly that IT organizations need to reinvent how to manage and operate their business-critical processes, or risk having their competition leave them behind,” said Mike Jude, research analyst, Frost & Sullivan. “FixStream provides an industry-first end-to-end correlation and visualization of Oracle ERP transactions and metrics that is a real game changer, and a critical AIOps platform that I believe IT Operations will kill to have in their networks.” 

Enterprises are accelerating their digital transformation and increasing their dependency on critical business processes that run on Oracle ERP. The business impact of an ERP outage or poor performance could be dire – service outages could cost enterprise $72k per minute.*

At the same time, enterprises are rushing to hybrid cloud seeking both business agility and security, increasing its adoption rate 3x in the last year.**

 The adoption of new digital processes while migrating to hybrid cloud will require IT and business operations to closely cooperate and to gain a shared visibility into the end-to-end process, from business transactions all the way to the underlying infrastructure.

Today’s domain-centric tools don’t correlate business transactions with application services and infrastructure events, making troubleshooting in a hybrid cloud environment ever more complex. 

 FixStream, an Oracle Gold Partner, facilitates digital transformation by automating the discovery and mapping of critical Order-to-Cash and Procure-to-Pay processes to the underlying application process flows, hosts, backend databases and infrastructure entities such as switches, routers and storage arrays.

“EMA named FixStream a leader in Advanced IT Analytics after careful evaluation of its unique capabilities for mapping service interdependencies to business-driven objectives, breaking down the barriers of communication between IT and business operations,” said Dennis Drogseth, vice president, Enterprise Management Associates. “This leadership is exemplified in FixStream’s move to support Oracle ERP Cloud with distinctive capabilities to address business outcomes in context with service performance with native ease and dynamic currency.”

FixStream 6.0 provides out-of-the-box support for Oracle ERP 12.X, Oracle Real Application Clusters, Oracle VM hypervisor and Oracle Fusion Middleware in on-premises, hybrid, public or Oracle ERP cloud deployments.

“FixStream provides a powerful analytics platform that delivers the industry’s first end-to-end view of Oracle ERP transaction flows correlated with applications and infrastructure in hybrid IT environments,” said Bojan Simic, founder and chief analyst, Digital Enterprise Journal. “FixStream can be deployed in few hours thanks to its out-of-the-box discovery of Oracle ERP applications and delivers instant tangible value to business and IT operations.”

FixStream 6.0 can be deployed to proactively address business process issues, such as Order to Cash, in a hybrid environment. In such a scenario, the customer could run an Oracle ERP instance in the Oracle Cloud and interact with enterprise services for tax calculation, authentication and identity service that are hosted on-premises in the customer data center.

For instance, should the number of pending orders increase beyond the expected threshold during a specific period, because of the system failure while doing credit check, FixStream 6.0 can automatically detect that the root cause was a CPU starvation issue in the VMs in the customer premise where the Oracle database is deployed for credit check.

“Oracle ERP Cloud is growing at a very rapid rate, 280 percent just in the last quarter,” said Sameer Padhye, founder and CEO of FixStream. “With FixStream 6.0, the vast Oracle customer base can now run their key business processes in a hybrid cloud environment more efficiently, at lower cost while gaining key operational insights through end-to-end correlated visibility.”

This year FixStream was named a Gartner “Cool Vendor” and a “Leader” by EMA for Advanced IT Analytics and won the Red Herring Top 100 North America award.

* Digital Enterprise Journal – 2017

** Forbes – 2017

About FixStream

Watch FixStream’s Vision Video

FixStream accelerates the delivery of new digital services. It provides analytics and visualization of business transactions correlated with application services and infrastructure (such as compute, network and storage) and their associated faults and alerts for a complete view in real time of a customer’s hybrid IT. Customers have deployed FixStream to automate root cause analysis of business transactions and applications, optimize IT resources and reduce infrastructure cost, accelerate technology migration to hybrid cloud, and reduce compliance risk and audit costs. For additional information, visit http://fixstream.com/, or connect with FixStream on LinkedIn and Twitter.

AIOps Platform
AIOps Platform for Oracle ERP


AIOps PlatformBishnu Nayak, CTO

“The cloud is the only way to leapfrog from where you are to where you have to be and do it at a compelling [total cost of ownership; TCO] that’s both secure and drives the level of innovation,” said Oracle CEO Mark Hurd, sharing one of the five cloud predictions to come true by 2025.

Oracle strongly predicts and also executes on the strategy of digital disruption that will motivate companies to replace last year’s IT systems, including ERP, with an emerging cloud-based ERP solution. In 2016, a major transformation began that allowed CIOs to modernize their more than 20-years-old financial, supply chain and other core applications using cloud technologies. The maturity of cloud technologies in the last few years has offered IT executives a low-risk and agile platform to transform their business processes.

Though there is a strong push and incentive to run Oracle ERP as a public cloud, it’s likely that a significant number of enterprises will run their Order to Cash (O2C) or Procure to Pay (P2P) business processes in a hybrid environment where proprietary core applications will still continue to stay in customers’ on-premise private data centers.

Enterprise will consider one of three deployment options to run their O2C business flow:

  • Entirely in a public cloud. This is typically the case for medium-scale businesses.
  • Entirely on-prem (or on a private cloud). This is typical of very customized, complex or highly critical processes.
  • In a hybrid environment. This will likely be the case for most large-scale customers.

Oracle cloud deployment models

Fig:1 Three deployment models of Oracle ERP

As excited as I am thinking of the possibilities for innovation from cloud enablement of critical business process such as O2C and P2P, I see the challenges CIOs and infrastructure and application operations team will face during this transformation.

Some of these challenges include:

  • Business risk with migration to a hybrid cloud.
  • Complexity with troubleshooting business issues within the entire O2C process stack.
  • Management of capacity to deliver the quality of service.
  • IT compliance, auditing and reporting becomes cumbersome, requiring FTEs.

In addition to these operational challenges, CIOs will have to ensure lower TCO to run the business processes with required business SLAs, drive innovation and support business units to drive revenue.

I strongly believe an Artificial Intelligence platform for IT Operations (AIOps) platform, embedded with insights powered by big data analytics and machine learning algorithms with visibility into the moving pieces across business process, application and infrastructure entities, is the solution IT executives are looking for.

We at FixStream follow this trend very closely and have partnered with Oracle to address this issue for Oracle ERP customers. FixStream’s industry-recognized, emerging AIOps platform provides the correlation, analytics and visualization for the ERP environment deployed in a hybrid cloud. It correlates across three very important layers: business processes such as O2C and P2P; application components such as Oracle ERP, Fusion Middleware and other legacy environments; and compute, network and storage supporting these application entities.

Although the FixStream platform is extensible for all enterprise applications and business processes, I am going to focus on the O2C process to explain its capabilities and business value proposition.

business process hierarchy for O2C

1) Discovery

FixStream smart discovery is agentless. With just two user inputs – read-only user account credentials (we call it “service account”) and an IP address range – FixStream discovery scans through each IP and auto-discovers physical and virtual compute, storage and network entities, including configuration data, interface and links, and services running in them.  

2) Topology Mapping

FixStream discovery delivers the end-to-end topology of hybrid environment out-of-box which shows connections between network, storage, and compute entities across hypervisors, VMs, VNFs, physical server, network and storage entities.

3) Application Discovery and Dependency Mapping

FixStream auto-discovers the logical groups of interconnected service flows that represent critical applications such as ERP, tax applications, and credit and collection applications. The group entities are then automatically associated with the underlying physical and virtual compute, storage and network entities to build the application dependency maps. These become the foundation for operational use cases.

4) Business Process Hierarchy Mapping

FixStream’s platform provides an intuitive drag and drop UI interface for users to create the business process hierarchy. For example, O2C business processes can be quickly created by simply grouping Oracle ERP and Tax Service where the Oracle ERP application is running in the cloud and Tax Service is running on-prem, accessing external services. The application dependency map is auto-computed for the business process once the user completes the grouping.

5) Operational Analytics and Event Correlation

Operational data such as server performance metrics (CPU, memory, IO, disk), network performance (bandwidth, interface I/O, CPU, memory), storage (IOPS, latency, throughput etc.), log events, network faults thru SNMP and other alerts and metrics are fed to the FixStream platform from various sources using its open API ingestion layer.

The events are stored in a time series and correlated and analyzed via machine learning algorithms for patterns and anomalies to conduct root cause analysis.

6) Dashboard

Dashboards are personalized views keeping the users’ needs in mind. There are two categories of dashboards the FixStream platform provides: business and operations. Business dashboards are tailored for CIOs and VPs of Business Ops to derive insights into business process health and associated infrastructure health. Operations dashboards, on the other hand, use widgets to provide deep visibility into infrastructure.

Let’s walk through a real customer scenario and how the FixStream platform helped provide the solution to a problem.

Customer Oracle ERP is deployed in Oracle Cloud and is interacting with enterprise services for tax calculation, authentication and identity service and tax services hosted on-prem in the customer’s data center. The number of pending orders increased beyond the expected threshold during a specific time period because of a system failure while performing a credit check. Upon investigation, the root cause was a CPU starvation issue in the VMs in customer premise where Oracle DB was deployed for applications doing credit checks.

The FixStream platform automates identification of the root cause and visually pinpoints the issue in close to real-time, reducing the time required to detect the root cause from hours to minutes.

The dashboard widget for O2C business process will not only show the business metrics, but further organize them into legitimate business problem categories such as inadequate credit score or system errors. System errors include performance and health issues in compute, storage, network, application server and DB log files. The analysis of the business metrics is done in a time series to quickly pinpoint the exact window where there are system failures.

The system will then navigate the user to the event correlation window and provides visibility into the system components for the selected time. Event correlation algorithm analyzes server performance alerts, application service alerts, log events, network fault and performance alerts in time-series. It not only identifies patterns for root cause analysis but also provides recommendations for resolution and predicts issues before they impact business.

This clarity and specificity helps operations team to quickly identify the root cause of problems impacting the health of O2C business process flow and reduces MTTR from hours to minutes.

Oracle O2C business process flow

In summary, the FixStream platform can help businesses realize ROI in a number of key ways:

  • Reduce TCO of O2C Business Process
    The TCO of O2C business processes comprises many different factors, including: cost of infrastructure and software; operations costs/FTEs dedicated to the business process; cost of downtime; and MTTR to fix the problem. FixStream provides insights to reduce MTTR of O2C process from hours to minutes, and provides analytics for resource optimization and auditing and compliance across a hybrid environment. Discovery and mapping is automated by the platform across cross-vendor, cross-technology domains, drastically reducing the need for domain-specific operations teams. With the cost of an hour of service downtime ranging several hundreds of thousands of dollars, and the average MTTR around 4.2 hours (DEJ), the FixStream platform is positioned to reduce the TCO of O2C processes by millions of dollars.
  • Increase Revenue
    The FixStream platform provides the needed visibility into the O2C business process, improving the assurance of the service, increasing the brand reputation, and lowering business risks that are the key recipes for revenue growth.
  • Improve Innovation
    Enterprises can now automate the operations process via the FixStream platform and divert operations resources to the development of innovative services. The FixStream platform removes the barriers and business risk of rapidily deploying new innovative solutions.

Check out our AIOps platform for Oracle ERP for more information, as well as the 5 Steps to Successful Digital Transformation webinar, to watch a demo of FixStream 6.0 in action!

 

DC Infrastructure Engineer

Job Opening:               DC Infrastructure Engineer

Job Duties:

  • Analyze network server hardware requirements and make recommendations to management.
  • Constantly monitor and assess systems to make sure that processes are operating as designed. Perform hardware and software upgrades. Maintain documentation of Hardware and Software assets.
  • Work with technical directors, architect, and programmers, participate in all aspects of software development process, design, coding, maintain, testing, and debugging computer applications software and programs. Manage and maintained software code repositories.
  • Utilize computational and algorithm understanding of complex data models. Plan, direct, and coordinate electronic data processing. Review project plans to plan and coordinate project activity.
  • Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems.
  • Determine specific network hardware or software requirements, monitor and analyze network performance and data input/output reports to ensure it meets customer’s needs, perform capacity planning, detect problems and identify inefficient use of computer resources, troubleshoot to solve problems and make improvement.
  • Research and test new or modified hardware or software products to determine performance and interoperability. Provides domain-specific expertise and overall engineering leadership and perspective to cross-organization projects, programs, and activities
  • Setup Apache Storm Cluster on RHEL (Red Hat Enterprise Linux) machines and build Apache Storm Java components for Azure flow.

Job Requirements:

Job entails working with and requires 5 years of experience including: Java, J2EE, Struts, Java Server Pages (JSP), HTML, CSS, XMLs, Java scripts, Shell Scripting, Hibernate, JPA, Apache Tomcat, Web services, Oracle, Eclipse, J2EE Design Patterns, REST, Linux, UNIX, PL/SQL, Apache Storm, Apache Kafka, Open Span, Selenium, Ruby, Chef, Vagrant, and Elasticsearch.

Employer will accept any suitable combination of education, training or experience. This should be read to mean that the employer requires: Bachelor’s degree in Electronic Engineering, Electrical and Electronics Engineering, Computer Engineering, or Equivalent along with 5 years of experience in the job offered, Software Engineer, Systems Engineer, Technology Analyst, Architect, or Equivalent.

To apply please mention Job Code IE 01 and mail resumes to: Attn. HR, FIXSTREAM NETWORKS, INC., 2680 North First Street, Suite 250. San Jose, CA 95134

Submit to Download

>