Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency.
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
New Relic launched Secure Developer Alliance.
Dynatrace is enhancing its platform with new Kubernetes Security Posture Management (KSPM) capabilities for observability-driven security, configuration, and compliance monitoring.
Red Hat announced advances in Red Hat OpenShift AI, an open hybrid 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 hybrid clouds.
ServiceNow is introducing new capabilities to help teams create apps and scale workflows faster on the Now Platform and to boost developer and admin productivity.
Red Hat and Oracle announced the general availability of Red Hat OpenShift on Oracle Cloud Infrastructure (OCI) Compute Virtual Machines (VMs).
The Software Engineering Institute at Carnegie Mellon University announced the release of a tool to give a comprehensive visualization of the complete DevSecOps pipeline.
Synopsys has entered into a definitive agreement with Clearlake Capital Group, L.P. and Francisco Partners.
Postman released v11, a significant update that speeds up development by reducing collaboration friction on APIs.
Sysdig announced the launch of the company’s Runtime Insights Partner Ecosystem, recognizing the leading security solutions that combine with Sysdig to help customers prioritize and respond to critical security risks.
Nokod Security announced the general availability of the Nokod Security Platform.
Drata has acquired oak9, a cloud native security platform, and released a new capability in beta to seamlessly bring continuous compliance into the software development lifecycle.
Amazon Web Services (AWS) announced the general availability of Amazon Q, a generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.
Red Hat announced the general availability of Red Hat Enterprise Linux 9.4, the latest version of the enterprise Linux platform.