Check Point® Software Technologies Ltd. announced it has been named as a Recommended vendor in the NSS Labs 2025 Enterprise Firewall Comparative Report, with the highest security effectiveness score.
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 6, the final installment in this series, covers BizDevOps and the business side.
Start with What Can AIOps Do For DevOps? - Part 1
Start with What Can AIOps Do For DevOps? - Part 2
Start with What Can AIOps Do For DevOps? - Part 3
Start with What Can AIOps Do For DevOps? - Part 4
Start with What Can AIOps Do For DevOps? - Part 5
BIZDEVOPS
One key aspect of AIOps that benefits DevOps engineers practicing customer-centricity principles is the ability to contextualize full-stack insights into a Business Service context. By connecting applications and infrastructure insights into the Health, Availability, and Risk of a Service, AIOps enables feedback loops during the Deploy, Verify and Monitor stages, allowing for a more agile business-aware response from developers.
Erik Rudin
VP of Business Development and Allian, ScienceLogic
BETTER ROI
The amalgamation of IT operations tools with the DevOps pipeline helps primary adopters to experiment with AIOps earlier in the development pipeline. Combined with the increasing use of automation, enterprises can use AIOps to continuously deliver quality software faster, thereby resulting in better ROI.
Rajesh Sarangapani
SVP, Cigniti Technologies
FOCUS ON BUSINESS AGILITY
While DevOps enables speed and quality through automation, AIOps furthers the overall mission by letting teams spend more time on business agility and less time getting stuck in the weeds.
Rod Cope
CTO, Perforce Software
PREDICTING RISKS
An enterprise-wide AIOps solution can help DevOps by quickly analyzing and predicting risks for an organization. This is done by highlighting complex interdependencies that makes systems fragile and improving governance through data, analytics, and automation.
Margaret Lee
SVP and GM of Digital Service and Operations Management, BMC Software
IDENTIFYING IMPROVEMENTS WITH GREATEST IMPACT
DevOps teams still have a hard time identifying the operational improvements that matter most. Is it really impacting the majority of users or just an edge case? AIOps will help to identify the lowest hanging fruit with the most impact — by applying data-science methods to sort and rank operational problems and thus prioritize work. It will strengthen the feedback loop between Dev and Ops in DevOps.
Marcel Hild
Manager AIOps, Office of the CTO, Red Hat
ADVANCING BUSINESS PERFORMANCE
AIOps helps humans manage massive amounts of complexity and chaos. The scale, the impact and the opportunity have never been greater. But the current DevOps AIOps mindset is limited. Most are using AI/ML to regain control over IT environments by quickly detecting anomalies, repairing problems and preventing outages. But shifting the DevOps mindset to the opportunity of AIOps is even more incredibly exciting. How can we use AI/ML to create more value for our customers? Endless ways. For example, automated rollbacks based on error rates, turning a feature flag off when a conversion rate drops. Or better yet, automated release of features when conversation rates rise. We see the future of AIOps in continuously advancing opportunity or better said, continuously advancing business performance.
Marisa Shumway
VP, Product Marketing, CloudBees
Industry News
Buoyant announced upcoming support for Model Context Protocol (MCP) in Linkerd to extend its core service mesh capabilities to this new type of agentic AI traffic.
Dataminr announced the launch of the Dataminr Developer Portal and an enhanced Software Development Kit (SDK).
Google Cloud announced new capabilities for Vertex AI Agent Builder, focused on solving the developer challenge of moving AI agents from prototype to a scalable, secure production environment.
Prismatic announced the availability of its MCP flow server for production-ready AI integrations.
Aptori announced the general availability of Code-Q (Code Quick Fix), a new agent in its AI-powered security platform that automatically generates, validates and applies code-level remediations for confirmed vulnerabilities.
Perforce Software announced the availability of Long-Term Support (LTS) for Spring Boot and Spring Framework.
Kong announced the general availability of Insomnia 12, the open source API development platform that unifies designing, mocking, debugging, and testing APIs.
Testlio announced an expanded, end-to-end AI testing solution, the latest addition to its managed service portfolio.
Incredibuild announced the acquisition of Kypso, a startup building AI agents for engineering teams.
Sauce Labs announced Sauce AI for Insights, a suite of AI-powered data and analytics capabilities that helps engineering teams analyze, understand, and act on real-time test execution and runtime data to deliver quality releases at speed - while offering enterprise-grade rigorous security and compliance controls.
Tray.ai announced Agent Gateway, a new capability in the Tray AI Orchestration platform.
Qovery announced the release of its AI DevOps Copilot - an AI agent that delivers answers, executes complex operations, and anticipates what’s next.
Check Point® Software Technologies Ltd. announced it is working with NVIDIA to deliver an integrated security solution built for AI factories.
Hoop.dev announced a seed investment led by Venture Guides and backed by Y Combinator. Founder and CEO Andrios Robert and his team of uncompromising engineers reimagined the access paradigm and ignited a global shift toward faster, safer application delivery.




