By Sudip Datta, Head of AIOps Products
To keep pace with escalating demands and data volumes, artificial intelligence for IT operations (AIOps) solutions are emerging as an increasingly foundational solution for today’s DevSecOps teams. In my latest blog post, I’ll share the five most critical requirements for an effective AIOps solution and how AIOps from Broadcom® uniquely meets these key imperatives.
Today, customer experience is the number one measurement for the quality of digital services your business delivers. It’s therefore not an overstatement to say that virtually every core business success metric is in some way contingent upon the performance of the IT infrastructures and operations that power the business’ digital services. While optimizing service levels is critical, it seems to be getting more challenging to do every day. This is true for two key reasons:
- Complexity. Most digital services now rely not only on traditional systems, including on-premises mainframes and distributed platforms, but on a plethora of new, dynamic technologies, such as containers, software defined networks, cloud delivery models, virtual and software-defined components, and more.
- Scale. The volume, variety, and velocity of data that needs to be managed, correlated, and analyzed continues to grow dramatically. In the wake of initiatives like multi-cloud deployments, microservices development, and Internet of Things (IoT) implementations, teams continue to see explosive growth in the operational data being generated, often totalling petabytes. Ultimately, internal team members simply can’t keep pace.
To contend with the explosive growth in data, increasing complexity, and heightened user demands, IT teams need to adopt an AIOps solution. By delivering AI, machine learning, and automation, AIOps solutions enable teams to manage and optimize service levels in modern IT environments. With the right AIOps solution, you can improve IT efficiency, reduce cost and transform the customer experience.
Further Insights on Key AIOps Requirements and How Broadcom Can Help
To maximize the potential benefits of AIOps, decision makers should ensure the solution they employ addresses these five requirements:
#1: Service-driven business insight
At the end of the day, IT has to serve the business. IT teams need business service-based views in order to identify which issue is affecting the business’ most important key performance indicators (KPIs).
Through smart service modeling, AIOps from Broadcom delivers business-driven service views that connect your underlying application, infrastructure, and network components, so you can quickly identify which issue is having the biggest impact on your business’ KPIs. Our AIOps solution integrates with End User Monitoring (EUM) tools to track business KPIs against the services. This enables more intelligent prioritization, so teams can minimize any impact on the customer experience and ensure the most critical business services continue to perform optimally.
#2: Full ecosystem observability
For managing your organization’s entire digital experience, it’s imperative to collect and observe data from each component of the digital chain — mobile to mainframe, cloud to on-prem, and from the end user layer to the infrastructure, including the network in between.
However, with the increasing prevalence of approaches like continuous integration/continuous delivery, DevOps, containers, and microservices, environments continue to grow more dynamic, ephemeral, interrelated, and complex. In this type of environment, it’s difficult to apply traditional monitoring, virtually impossible to keep it consistently current, and challenging to get the outputs needed to truly understand performance.
To address these limitations, IT teams need to move from monitoring to observability. Quite simply, to be successful, it’s not enough to monitor a monolithic computing stack or a discrete infrastructure element. Teams need to make complex, modern ecosystems observable.
With AIOps from Broadcom, your teams can establish observability of their modern implementations. They can aggregate and correlate data from multiple sources, and combine intelligence in a unified data lake. Our solution’s coverage spans from mobile platforms to mainframes, and from the user experience to the application to the network. It can also ingest intelligence from a wide range of third-party tools, including open-source monitoring products.
AIOps from Broadcom cross correlates intelligence from every component being tracked. By applying machine learning to these unified data sets, our solution enables teams to understand interrelations among different elements. Now, your teams can see how everything in your environment is connected via an intuitive topology view. With these capabilities, teams can begin to track the indicators that really matter, and gain the intelligence needed to understand and optimize performance.
#3: Comprehensive data sets
For true AI-driven insights, comprehensive data sets are essential. AIOps from Broadcom provides extensive depth and breadth of coverage, ingesting structured and unstructured data, including metrics, alarms, logs, topology, text, and API data. Historically, Manager of Managers have been positioned as AIOps tools and they ended up being alarm aggregation engines, as opposed to enablers of predictive and root cause analytics.
Only our AIOps solution ingests and correlates all these data types and offers metric-driven—rather than event-driven—anomaly detection to help you discover potential issues before they affect your users. We believe that the structured and unstructured data presented contextually and in combination can provide the appropriate level of insight and depth that serve the right personas from the SRE to NOC operators to the level-2 administrators,
#4: Algorithmic root cause analytics
Once unified, comprehensive data sets have been established, teams need machine learning-based algorithms that can automatically find the root cause of problems. Today organizations are dealing with thousands of alarms that are being filtered manually and then further dissected in war room situations resulting in an MTTR of 4-5 hours.
With AIOps from Broadcom, your teams can move from reactive firefighting to proactive management. Our AIOps solution delivers machine-learning-based algorithms that can automatically identify the cause of issues.
Only our extensive library of algorithms leverages the “four Ts”—topology, time, text, and training—to correlate information from multiple data sources and determine the root cause. The topology and time define the boundaries of space and time thereby eliminating unrelated noises. The usage of Natural Language Processing (NLP) helps in deduplicating messages. Further details on the algorithms can be found in this technical white paper.
#5: Intelligent automation
Now more than ever, it’s critical that your teams can reduce outages and fix problems before they have an impact on your business. AIOps from Broadcom features leading predictive analytics that can trigger autonomous remediation and preempt issues. Rather than having IT admins hardcoding automation actions against conditions, we employ machine learning on past heuristics to assign recommendation scores to possible automation actions. Our solution can automatically trigger proactive execution of remediation scripts, and the automated updating of service desk tickets to reflect the steps taken—all before users ever notice there’s an issue.
With the right AIOps solution, today’s DevSecOps teams can realize improved service levels, cost efficiencies, and agility. By delivering all the must-have capabilities required, AIOps from Broadcom puts your teams in an optimal position to wring maximum benefits from their AIOps investments
To learn more about our solution, read the white paper: AIOps Essentials – A Unified Data Model as the Foundation for AIOps