Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 5 covers testing and quality.
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
TEST-DRIVEN APPROACH
DevOps teams can leverage AIOps to proactively manage deployments with a test-driven approach that reduces mean time to recover and restore (MTTR). With AIOPs, analytics are leveraged to prepare, deploy, test, and remediate with intelligent automation pipelines that lead to better outcomes, cost savings, and enhanced observability.
Randy Randhawa
SVP of Engineering, Virtana
SIMULATING REAL WORLD SCENARIOS
AIOPs ,when implemented correctly, can help developers simulate real world scenarios and pinpoint potential issues in applications so that they can be fixed preventatively. This could be a huge competitive advantage for companies who are relying on software to build immersive and memorable experiences for customers.
Milan Bhatt
EVP, Hexaware
CI/CD PIPELINE
AIOps can be leveraged to monitor, correlate, and recommend actions for continuous integration/delivery (CI/CD) pipeline like it is used for assuring application performance and health after deployment.
Randy Randhawa
SVP of Engineering, Virtana
UNDERSTANDING IMPACT OF CHANGE
AIOps could bring developers' agility with confidence in product development and quality delivery by helping developers understand impact of change across teams and distributed architecture to operate with each other without worrying about customer impact.
Bhanu Singh
VP Product Development and Cloud Operations, OpsRamp
SHIFT LEFT QUALITY ASSURANCE
AI in DevOps cycle enables to shift-left the quality assurance in a more guided and automated way. Instead of finding problems in production, you can find them, or do right, while developing.
Antonio Alegria
Head of AI, OutSystems
AIOps can help flag non-compliance at an early stage of the development.
Muraleedharan Vijayakumar
Senior Technical Manager, GAVS Technologies
DEVELOPING ALGORITHMS
Developers and AI/ML scientists will continue to evolve in their specialties. Developers and scientists need to be focused on designing the right metrics, and researching and developing algorithms to deliver to those metrics. The AIOps team should be in a critical partnership with the algorithm developers to ensure that the data pipelines are constantly delivering that technology and that the environments are scaled in a way to keep the data-pipeline, model-generation machine running smoothly.
Michael Estrem
Senior Director of Data Science and Analytics, Lucidworks
FUTURE PROOFING APPLICATIONS
AI ensures teams are better equipped to manage application dependencies and ensure that regardless of what changes are made, applications never break and are able to seamlessly adapt to inevitable change. Instead of finding problems in production, you can find them, or do right, while developing.
Antonio Alegria
Head of AI, OutSystems
Industry News
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.
Sylabs announces the launch of a new certification focusing on the Singularity container platform.
OpenText™ announced Cloud Editions (CE) 24.2, including OpenText DevOps Cloud and OpenText™ DevOps Aviator.
Postman announced its acquisition of Orbit, the community growth platform for developer companies.