Accelerate Cloud Migrations with AIOps Auto Discovery
The proliferation of IT assets and data architectures that makes business digitization possible has led to unprecedented system change and complexity, creating a multi-layered, interconnected environment. These distributed hybrid IT infrastructures are too complex and opaque to manage manually or with traditional service management tools. Conventional technologies can’t effectively monitor fast-changing, multi-vendor, multi-technology ecosystems or keep track of all assets deployed across the environment.
Lack of insight into the underlying IT infrastructure across the multiple domains of your hybrid IT ecosystem hampers system diagnostics, troubleshooting and capacity planning. Without a complete updated inventory of IT assets, including containers and micro services, teams can’t identify or understand the relationships or interdependencies between applications, infrastructure and other datasets. And without a precise understanding of the existing IT landscape, it’s very difficult to execute a successful system upgrade or migration, whether on-premise or to the cloud.
Map Out the IT Infrastructure with AIOps Auto Discovery
Artificial Intelligence for IT Operations (AIOps), powered with machine learning technology, improves system visibility by identifying all applications and underlying infrastructure components. AIOps can codify an enterprise’s entire hybrid IT ecosystem and illustrate the interdependencies among IT entities, with zero blind spots.
Call out: AIOps auto discovery solutions can build a detailed topology map that visually displays every physical, virtual, and logical entity and the relationships between each one.
AIOps auto discovery solutions work by automatically collecting data across all infrastructure and application domains, providing an accurate, reliable master list of all your IT resources in the network, and the processes and dependencies associated with them. The data is collected from all types of disparate entities whether physical, virtual or logical, including servers, storage devices, virtual machines, and routers.
With AIOps auto discovery, you can maintain in real time an accurate and complete inventory of the assets across IT stacks and their relationships. Once completed, the topology map can clearly highlight those assets which may be outdated, underutilized, or noncompliant, aiding capacity planning and workload balancing for better system throughput. The resulting information can also serve as the foundational building block for other operations activities such as system diagnostics and root cause analysis.
Facilitating System Migrations with Auto Discovery
Moving your complex applications and infrastructure to the cloud can be a massive undertaking and requires careful preparation. AIOps auto discovery solutions can aid your migrations by revealing meaningful insight, such as service information and configuration data, from infrastructure and application entities. They determine the infrastructure foot-print of an application. This enables efficient migrations with minimum downtime as you can now create logical groups for migration, perform flow analysis and visualize the business impact of migrating them. Whether you are shifting on-premise applications to the cloud, upgrading or migrating to new on-premise technology, or dynamically managing resource allocations, these solutions ensure minimum disruption to business-as-usual.
Call Out: With accurate information on your application and IT infrastructure resources and their hierarchical relationships, you’ll be able to identify the dependencies you need to consider when adding new applications, planning future capacity, and migrations.
This ability to foresee the potential impact of system changes will enable your team to successfully plan migrations/upgrades so they don’t affect business-critical applications.
Bridging Legacy and Cloud Infrastructures with AIOps
With measurable benefits such as cost reduction, faster provisioning, and redundancy, businesses have strong motivation to migrate their legacy applications to cloud computing models. But managing a hybrid IT environment is complicated. The cloud has its own monitoring tools which don’t work with on-premise applications, and legacy tools can’t typically view or monitor cloud resources, which can leave IT staff in the dark.
An AIOps platform can seamlessly integrate with both on-premise and cloud computing services. Being able to auto-detect issues and monitor all IT assets, even if they cross cloud and on-premise boundaries, provides valuable visibility that expedites the cloud migration process. The visibility provided by AIOps auto discovery feature can even help identify which system applications or components should be migrated first, and if there are other parts that should be migrated at the same time. Also, businesses can optimize cloud usage and ensure cost-effective results by gaining a real-time view into resource utilization and workloads.
Auto Discovery for Modern IT Environments
FixStream AIOps’ agentless, smart auto-discovery can identify multi-domain and multi-layer physical/virtualized entities and can automatically identify their dependencies. Its topology mapping feature can highlight granular relationships between physical, virtual, and logical compute, storage, and network entities. This provides IT teams with an up-to-date, reliable inventory to serve as the building block for operations activities. Also, by feeding data on assets and relationships to legacy ITSM tools, FixStream’s AIOps auto discovery can even enhance existing ITSM capabilities to optimize business processes and reduce operational costs.
For more information, review our case study about Broadcom, a global semiconductor company using FixStream AIOps auto discovery to improve visibility across its worldwide data centers. You can also review our case study about how Maxim Integrated leveraged FixStream AIOps to efficiently migrate datacenters and reduce cost by 70%.