Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
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
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.