5 Key AIOps Trends Impacting DevOps Teams
March 16, 2020

Will Cappelli
Moogsoft

In 2020, DevOps teams will face heightened expectations for higher speed and frequency of code delivery, which means their IT environments will become even more modular, ephemeral and dynamic — and significantly more complicated to monitor.

As a result, AIOps will further cement its position as the most effective technology that DevOps teams can use to see and control what's going on with their applications and their underlying infrastructure, so that they can prevent outages. Here I outline five key trends to watch related to how AIOps will impact DevOps in 2020 and beyond.

1. Better collaboration among DevOps teams

DevOps teams historically have been given free rein to operate independently. In fact, that freedom extends even to individuals within a single DevOps team. In 2020, many organizations will put their foot down and say "no more." They will enforce a more disciplined approach, preserving what's good in DevOps but imposing more external control.

AIOps will help with this effort by providing a holistic view and cross-team awareness of the overall performance of applications and the status of their infrastructure. AIOps ingests data from all DevOps monitoring tools, filters out event noise across the board, and correlates important alerts, pinpointing root causes across the CI/CD process. That way, silos among DevOps teams are eliminated, cross-team collaboration is enhanced, and application problems are detected early and resolved quickly.

2. DevOps automation

In DevOps there's a lot of automation focused on moving code from one stage to the next and injecting it into a production environment. In 2020, we'll see the automation of many aspects of code writing. This isn't about replicating existing lines of code. Rather, it relates to making decisions about flow and what operations to apply — effectively automating the coders' tasks.

With that urgency of automation, DevOps teams will have no choice but to trust AI more and more, as the "need for speed" drives the need for automation. DevOps teams will realize that observability-centric IT management focused on metrics, logs, and traces, and on the analysis of these data types in real time, will require AI and ML technologies, because those data sets are incredibly complex, dynamic, volatile and noisy.

To deal with those data sets, both development and operations teams require an analytical and diagnostic tool to predict what's going on. In this scenario, AIOps technologies become a necessity — without a smart filter DevOps loses control, which in turn slows down the development cycle.

3. New skills for DevOps staff

As DevOps teams further embrace AIOps, and AIOps in turn absorbs and automates a number of formerly manual tasks, DevOps team members will need new skills, and new jobs will emerge. For example, one such new job will be AIOps Architect, a developer of meta-algorithms for controlling AIOps platforms. To address this shift, DevOps pros need to ponder how to expand and renew their skills, and organizations must provide appropriate training. For example, data science will emerge as a critical skill, as well as a comprehensive understanding of modern IT systems.

4. AIOps as enabler of DevSecOps

The next evolution of DevOps involves meshing security into its processes, so that security checks are incorporated and automated throughout the CI/CD pipeline. AIOps will deepen that integration, and enhance the ability of DevOps teams to deal with development, operations and security-related problems through a single lens.

5. More transparency into AIOps algorithms

AI systems can make errors, which raises the concern of being able to audit effectively what AIOps systems do. There are certain types of algorithms that are very popular today that are intractable — literally a human being can't understand how they have arrived at their conclusions. As AIOps becomes more widely deployed, we'll see a move away from these black-box algorithms which you can't ever truly understand how they arrive at their results, and towards other types of AI algorithms that are more transparent to anyone — even to another IT system that's trying to audit their results.

Conclusion

As the stakes get higher for DevOps teams in 2020, I hope the five trends outlined in this article will help them understand the current and future impact AIOps will have on their careers, tools and processes. With applications and their infrastructures getting more and more complex to monitor, it's imperative for DevOps teams to understand how AIOps can provide full observability across the CI/CD cycle to quickly detect and fix issues before users are impacted.

Will Cappelli is CTO, EMEA, at Moogsoft
Share this

Industry News

September 29, 2022

CloudBees announced the acquisition of ReleaseIQ to expand the company’s DevSecOps capabilities, empowering customers with a low-code, end-to-end release orchestration and visibility solution.

September 29, 2022

SmartBear continues expanding its commitment to the Atlassian Marketplace, adding Bugsnag for Jira and SwaggerHub Integration for Confluence.

Bugsnag developers monitoring application stability and documenting in Jira no longer need to interrupt their workflow to access the app. Developers working in SwaggerHub can use the macro to push API definitions and changes directly to other teams and business stakeholders that work within Confluence. By increasing the presence of SmartBear tools on the Atlassian Marketplace, the company continues meeting developers where they are.

September 29, 2022

Ox Security exited stealth today with $34M in funding led by Evolution Equity Partners, Team8, and M12, Microsoft's venture fund, with participation from Rain Capital.

September 29, 2022

cnvrg.io announced that the new Intel Developer Cloud is now available via the cnvrg.io Metacloud platform, providing a fully integrated software and hardware solution.

September 28, 2022

Kong introduced a number of new performance, security and extensibility features across its entire product portfolio, including major new releases of Kong Gateway, Kong Konnect, Kong Mesh, Kong Insomnia and Kong Ingress Controller, as well as new projects from the Kong Incubator.

September 28, 2022

BroadPeak Partners announced the availability of the new K3 API Connector.

September 28, 2022

Aqua Security announced a new end-to-end software supply chain security solution.

September 27, 2022

DevOps Institute will host SKILup Festival in Singapore on November 15, 2022.

September 27, 2022

Delinea announced the latest release of DevOps Secrets Vault, its high-speed vault for DevOps and DevSecOps teams.

September 27, 2022

The Apptainer community announced version 1.1.0 of the popular container system for secure, high-performance computing (HPC). Improvements in the new version provide a smaller attack surface for production deployments while offering features that improve and simplify the user experience.

September 26, 2022

Secure Code Warrior unveiled Coding Labs, a new mechanism that allows developers to more easily move from learning to applying secure coding knowledge, leading to fewer vulnerabilities in code.

September 26, 2022

ActiveState announced the availability of the ActiveState Artifact Repository.

September 26, 2022

Split Software announced the availability of its Feature Data Platform in the Microsoft Azure Marketplace.

September 22, 2022

Katalon announced the launch of the Katalon Platform, a modern and comprehensive software quality management platform that enables teams of any size to easily and efficiently test, launch, and optimize apps, products, and software.

September 22, 2022

StackHawk announced its Deeper API Security Test Coverage release.