“When digital transformation is done right, it’s like a caterpillar turning into a butterfly, but when done wrong, all you have is a really fast caterpillar.”
George Westerman, Research Scientist with the MIT Sloan Initiative on the Digital Economy.
Do your digital transformation initiatives feel like a fast caterpillar instead of the promised butterfly? If yes, you need to rethink legacy IT management techniques to keep up with competing technological and business demands. This requires IT operations teams to evolve and embrace new strategies to handle digitalization issues better. Artificial intelligence for IT operations (AIOps) has emerged as a universal remedy, but is it all that it’s cracked up to be?
Well, yes, we think it is.
It’s all that and much more. AIOps brings the power of analytics, automation, and machine learning (ML) to glean insights from data and proactively remedy issues, automate manual and repetitive tasks while ensuring minimal disruptions to business-critical services. Every IT leader’s dream come true.
Managing the mess of hybrid and multi-cloud
Today’s enterprises face a multitude of obstacles when it comes to managing hybrid and multi-cloud infrastructure and operations. These could range from cloud assessments and migrations, optimizing distributed IT across cloud and legacy datacenter resources or enabling a dynamic and DevOps-driven organization culture.
The new world of hybrid IT is more complex than ever. The proliferation of cloud and new cloud-native services demand highly specialized skills. DevOps and IT decentralization are also adding fuel to this fire by increasing costs, enabling shadow and fragmented IT, and limiting tight governance. IT was traditionally relegated to managing and maintaining resources, such as servers, networks, storage, and data, but we see a paradigm shift taking place. IT is becoming a service provider to the business, entrusted to manage critical services and workloads. So, where does IT go from here?
Emergence of AIOps
To combat these challenges, businesses are exploring AIOps platforms which can enrich traditional cloud operations by ingesting data from multiple distributed sources. Leveraging automation, AI, and insights vetted by skilled analysts, can provide intelligence for faster resolutions. Here are 7 ways AIOps can redefine hybrid cloud monitoring and management for your business:
- Speed up problem identification & resolution
Get the power to integrate historical and real-time data across incident, problem, and change management functions. AIOps delivers comprehensive visibility into private, hybrid, and public cloud resources and drives analytics to detect and solve problems faster.
How does that happen? Machine learning helps reduce event noise and provide service health insights. Integrations into existing problem identification and resolution workflows drive better event suppression. AIOps platforms can combine this with contextual insights on incident and problem data to analyze data at scale, find potential problems proactively, and speed up root cause analysis. Everybody wins!
- Increase savings on cloud costs
Cloud costs are a constant headache for IT staff. Effectively managing them can be challenging due to lack of skills, unoptimized resources, dynamic provisioning, tool sprawl, and auto-scaling capabilities. When different teams use cloud platforms like AWS, Azure, and Google for their requirements, it becomes difficult for enterprise IT to keep track of spend or ensure centralized governance through approvals.
AIOps-powered solutions can detect abnormal spikes in costs, provide detailed cost insights, deploy automation to minimize unused resources, and automatically right-size servers or storage in the cloud.
- Integrate service management
Treat ITOM and ITSM as separate silos at your own peril. AIOps platforms can integrate and connect IT events and incidents to track the operational status of your hybrid landscape, provide valuable business insights, as well as, current and historical context on application, infrastructure, services, and processes data.
Picture this, there’s a patch update in your IT environment and this leads to the creation of multiple related events. If your event management system isn’t integrated with your ITSM platform, your staff sees these incidents and wastes their time in resolving it, because they don’t know better. AIOps can help automatically suppress these change-related events before they impact the support team.
- Deliver immersive customer experiences
IT must maintain operational excellence and minimize service disruptions or outages. Whether it’s email, websites, communication systems, or file servers – we can’t afford downtime. Modern digital services depend on dynamic and distributed infrastructure, so it’s important to pinpoint performance issues that derail compelling user experiences. Consolidated cloud monitoring with AIOps helps you identify issues and stay ahead of critical incidents with integrations for your existing tools.
Assure availability of dynamic workloads, with metrics for public cloud platforms and cloud-native services, to deliver incredible experiences.
- Accelerate application performance
AIOps helps businesses ensure the performance and health of hybrid IT infrastructure supporting business-critical applications while automating complex and tedious processes. Implementing an AIOps solution for infrastructure monitoring eliminates recurring issues and lets you proactively prevent and resolve future problems.
Integrations with your existing AI-driven Application Performance Management (APM) solutions can accelerate and optimize the entire stack, including the end-user, the infrastructure, and the application. An application-oriented approach allows your infrastructure to understand various applications, business criticality, and behavior that might lead to infrastructure stress.
- Proactively prevent outages
Outages are bad for business. Period. Very few IT leaders are confident in their ability to effectively monitor and manage end-to-end IT operations. This increases exposure to risk and other problems such as excessive cost and complexity, and inconsistent monitoring across various cloud platforms. Proactive monitoring can help prevent costly downtime and reduce operational risks.
Cloud management platforms and management consoles that implement AIOps are rising in popularity, as they deliver comprehensive visibility across hybrid multi-cloud environments while providing actionable and contextual insights. IT teams are using intelligent platforms to aggregate and analyze data to prevent outages, reduce costs, and drastically reduce mean time to resolution (MTTR) for hybrid cloud operations.
- Do more with data
For IT teams, multiple cloud services and migrations result in a deluge of data that is often thought of as a liability or complexity to handle, instead of a competitive advantage. We’re unable to maximize insights from data for diverse applications and/or hosts, collected through a wide range of point tools. This happens because machine intelligence, though very powerful, still needs human guidance.
You need expert insights to identify synergies between tools and systems while analyzing historical data and understanding context. AIOps provides the tooling and diagnostics needed to highlight problems quickly. It’s imperative to have skilled analysts who can enrich that information to deliver insights across all tiers of infrastructure and applications, to help you make accurate and effective decisions and pre-empt service disruptions.
There you have it. AIOps helps businesses overcome alert storms and the noise of many moving parts of modern hybrid and multi-cloud infrastructure. It helps you focus on what’s working, and what could go wrong soon. Speed up cloud migrations and take real-time decisions on workload and application placement, with algorithmic insights and real-time analytics. Find out how Netenrich can help you streamline cloud capabilities, drive value from your data center, and optimize infrastructure expenditure.
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