Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 6 covers more on AIOps.
Start with: 2023 Application Performance Management Predictions - Part 1
Start with: 2023 Application Performance Management Predictions - Part 2
Start with: 2023 Application Performance Management Predictions - Part 3
Start with: 2023 Application Performance Management Predictions - Part 4
Start with: 2023 Application Performance Management Predictions - Part 5
NEW BUSINESS-ALIGNED APPROACH TO AIOPS
IT organizations will continue to shift from a technology-focused approach for IT operations management and AIOps to more of a solution and process-focused approach in the coming year. Historically, many IT teams focused on extensive and time-consuming point product side-by-side comparison matrixes try to guess which algorithm is the biggest and fastest and then worried about how to implement that tool with their processes later. The new business-aligned approach will think about current and future process implementation at the same time to improve automated problem detection and remediation.
Senior Manager, Product Marketing, IT Operations Management, ServiceNow
GROWTH OF SAAS AIOPS
Enterprises have realized there is no one master observability tool they can depend on. They are sitting on heaps of observability data which can be used to predict outages and help operations teams triage the right issues while reducing false alerts. Despite there being multiple tools to use for correlations, the introduction of full-stack observability APM tools with AI/ML techniques to predict and triage issues will help in reducing downtime and aid in better planning for technology updates. As adoption continues, we anticipate further growth of SaaS AIOps solutions, making them more widely accessible and available to small- to medium-size businesses.
CEO, HEAL Software
AIOPS ENABLES PLATFORMOPS
IT organizations will start implementing PlatformOps for everything from observability, DevOps, SecOps, ServiceOps, and analytics — to glue together all the different use cases demanded by various stakeholder teams in business, technology, compliance, security, etc. AIOps platforms will be a key enabler for implementing the enterprise PlatformOps technology stack.
Marketing & Business Development, APAC, CloudFabrix
EVENT CORRELATION AND AIOPS
Event Correlation and AIOps adoption will increase in 2023. With applications becoming wholly cloud-native, organizations are adopting a microservices-based architecture for their business efficiency. This system relies heavily on a complex underlying infrastructure, which increases the influx of events — telemetry data. It will be next to impossible to manually ascertain operational and security pitfalls, thus expanding the scope for mainstream adoption of event correlation and AIOps.
Director of Product Management at Site24x7 and ManageEngine
PRODUCTION AIOPS ENVIRONMENTS MIGRATE TO KUBERNETES
After hearing the buzzword AIOps circling for so long, it's exciting to finally see some of the first (small) successes, after years of promise. This is in large part thanks to the standardization we are seeing in the industry around widely adopted technologies like Kubernetes (that have become an industry standard for many disciplines, including AI). I believe production environments for AIOps are going to migrate to Kubernetes, which will be a real game changer for real-time analytics and ops.
CTO and Co-Founder, Komodor
ENTERPRISES COMBAT IT SKILLS CRUNCH WITH AIOPS
Amidst an ever-growing IT skills gap, enterprises are crunched for talent, while juggling budget cuts, heightened productivity KPIs and a lack of qualified talent. In 2023, enterprises will rely on AIOps driven-automation to bridge the gap and enable them to deliver autonomous workspaces, simplifying IT administration and reducing dependency on skilled IT labor. Enterprises will increasingly lean on Unified Endpoint Management (UEM) to automate workflows to eliminate manual intervention across device management, security and user-experience. In addition, UEM solutions will leverage AIOps for data-driven automation with proactive detection and remediation of device performance and other manual processes.
Vice President, ManageEngine
AIOps will continue to disappoint as a broad solution that can automagically detect and resolve IT issues. AIOps, when utilized correctly and in the correct places, can be immensely helpful by allowing for the analysis of significant quantities of data and identification of patterns that a human is likely to miss. However, the idea that AIOps will be able to detect all (or even almost all) issues, identify the root cause, develop a remediation plan, and then implement that plan is unrealistic. Networks (and associated environments) are simply too complicated and unique for any tool to be able to work across broad swaths of organizations. Instead AIOps tools will continue to excel in narrowly focused areas where they are doing things such as analyzing the huge quantities of data organizations currently collect and identifying specific anomalies that can then be addressed in specific ways through either automation or human intervention.
VP, Strategy & Innovation, Netreo
Go to: 2023 Application Performance Management Predictions - Part 7, covering the user experience.
The journey of maturing observability practices for users entails navigating peaks and valleys. Users have clearly witnessed the maturation of their monitoring capabilities, embraced DevOps practices, and adopted cloud and cloud-native technologies. Notwithstanding that, we witness the gradual increase of the Mean Time To Recovery (MTTR) for production issues year over year ...
Optimizing existing use of cloud is the top initiative — for the seventh year in a row, reported by 62% of respondents in the Flexera 2023 State of the Cloud Report ...
Gartner highlighted four trends impacting cloud, data center and edge infrastructure in 2023, as infrastructure and operations teams pivot to support new technologies and ways of working during a year of economic uncertainty ...
Developers need a tool that can be portable and vendor agnostic, given the advent of microservices. It may be clear an issue is occurring; what may not be clear is if it's part of a distributed system or the app itself. Enter OpenTelemetry, commonly referred to as OTel, an open-source framework that provides a standardized way of collecting and exporting telemetry data (logs, metrics, and traces) from cloud-native software ...
As SLOs grow in popularity their usage is becoming more mature. For example, 82% of respondents intend to increase their use of SLOs, and 96% have mapped SLOs directly to their business operations or already have a plan to, according to The State of Service Level Objectives 2023 from Nobl9 ...
Observability has matured beyond its early adopter position and is now foundational for modern enterprises to achieve full visibility into today's complex technology environments, according to The State of Observability 2023, a report released by Splunk in collaboration with Enterprise Strategy Group ...
Before network engineers even begin the automation process, they tend to start with preconceived notions that oftentimes, if acted upon, can hinder the process. To prevent that from happening, it's important to identify and dispel a few common misconceptions currently out there and how networking teams can overcome them. So, let's address the three most common network automation myths ...
Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates (EMA) has observed significant interest in applying these AI technologies narrowly to network management, according to a new research report, titled AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps ...
When it comes to system outages, AIOps solutions with the right foundation can help reduce the blame game so the right teams can spend valuable time restoring the impacted services rather than improving their MTTI score (mean time to innocence). In fact, much of today's innovation around ChatGPT-style algorithms can be used to significantly improve the triage process and user experience ...
Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...