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Monthly Archives : May 2018

Nutanix and FixStream Team to Accelerate Delivery of Business Workloads

As originally published on Nutanix.com

This is a guest post from Enzo Signore, Chief Marketing Officer at FixStream

Unprecedented Application-Centric Visibility into Physical and Virtual Infrastructure

Nutanix and FixStream are very excited to announce at the Nutanix .Next 2018 Conference today a new joint initiative to help customers accelerate the freedom of choice they can experience with the adoption of Nutanix Enterprise Cloud.

FixStream’s Artificial Intelligence for IT Operations (AIOps) platform combines auto-discovery, correlation and visualization to easily find and predict critical business application issues across an enterprise’s entire hybrid IT stack in minutes. Customers using Nutanix-powered environments can now accelerate the delivery of business applications and accelerate the adoption of Nutanix Enterprise Cloud.

One of the key challenges IT organizations face is the complexity associated with discovering and managing the disparate entities of legacy and cloud infrastructure in the hybrid IT environment. Environments are quickly changing as digital service deployments adopt newer technologies in the domains of virtualization, hybrid cloud, containers, micro services etc.

To solve this problem, The Nutanix Enterprise Cloud Assessment Offer from FixStream allows Nutanix consultants and partners to perform detailed assessment of their customers’ and prospects’ existing legacy and cloud infrastructure to discover and visualize their entire hybrid infrastructure to help accelerate their migration onto the Nutanix Enterprise Cloud. Based on FixStream’s Nutanix AHV Ready platform, this offer includes a custom data center inventory report highlighting:

  • Network, compute and storage components deployed in data centers
  • Physical and virtual infrastructure components in a hybrid IT environment
  • Visualization of the physical, virtual and logical connections among the devices
  • Up-to-date, near-real time inventory view
  • Dynamic reporting for data analysis and compliance needs

Leveraging FixStream powerful agentless auto-discovery capabilities, the Nutanix Enterprise Cloud Offer is designed to deliver an infrastructure assessment that applies to different scenarios. Nutanix consultants and partners will use this offer for customers planning to modernize their datacenter by migrating from legacy hybrid environments to Nutanix Enterprise Cloud and those who ho want to transform their business with the Nutanix Enterprise Cloud Transformation Service.

For those attending the .NEXT Conference this week, please join us on Wednesday, May 9th, at 3:00 – 3:30 pm at the Silver Sponsor Theatre Presentations in the Solutions Expo! To hear from FixStream’s CMO Enzo Signore and Vandana Rao, Nutanix, Director, Practice Development Services more about Artificial Intelligence to Predict Business Application Issues across Hybrid IT and what this means for Nutanix customers.

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.

© 2018 Nutanix, Inc. All rights reserved. Nutanix, the Enterprise Cloud Platform, the Nutanix logo and the other Nutanix products and features mentioned herein are registered trademarks or trademarks of Nutanix, Inc. 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).

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.

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