WaveMaker has updated its platform in response to customer demand for more sophisticated API and code management tools.
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
Vercara announced the launch of UltraAPI™, a product suite that protects APIs and web applications from malicious bots and fraudulent activity while ensuring regulatory compliance.
Legit Security announced the launch of its standalone enterprise secrets scanning product, which can detect, remediate, and prevent secrets exposure across the software development pipeline.
Progress announced a strategic partnership with Veeam® Software, the #1 leader by market share in Data Protection and Ransomware Recovery, to provide customers with an enterprise-ready cyber defense solution that strengthens the security of their business-critical data.
GitGuardian released its Software Composition Analysis (SCA) module.
DataStax announced a milestone in its journey to simplify enterprise retrieval-augmented generation (RAG) for developers by integrating with Microsoft Semantic Kernel.
Check Point® Software Technologies Ltd. is collaborating with NVIDIA to enhance the security of AI cloud infrastructure. Integrating NVIDIA BlueField DPUs, which feature a broad range of purpose-built, innovative security capabilities, the new Check Point AI Cloud Protect solution will help prevent threats at both the network and host levels.
Sentry announced the release of Autofix, an AI-powered feature to debug and fix code in minutes, saving important time and resources.
Apiiro announced a product integration and partnership with Secure Code Warrior, the agile developer security training platform, to extend its ASPM technology and processes to the people layer.
Progress announced that Progress® Semaphore™, its metadata management and semantic AI platform, was named a Champion in SoftwareReviews’ 2024 Metadata Management Emotional Footprint Awards.
The Cloud Native Computing Foundation® (CNCF®) has partnered with Udemy, an online skills marketplace and learning platform.
GitLab has acquired Oxeye, the provider of a cloud-native application security and risk management solution.
GitHub announced that code scanning autofix, powered by GitHub Copilot and CodeQL, is available in public beta for all GitHub Advanced Security (GHAS) customers.
NetApp is collaborating with NVIDIA to advance retrieval-augmented generation (RAG) for generative AI applications.
CalypsoAI launched the CalypsoAI Platform, an advanced SaaS-based security and enablement solution for generative AI applications within the enterprise.