DevOps for Machine Learning and Artificial Intelligence
DevOps for machine learning and artificial intelligence, known as MLOps, evolves to meet the demands of the AI landscape.
AI-Powered Solutions for Azure DevOps Pipelines
The integration of artificial intelligence (AI) into Azure DevOps pipelines transforms the manual software development and delivery process.
Valory Unveils AI Software Engineer for Building Multiple Types of Agents
Valory has launched an artificial intelligence (AI) agent, dubbed Propel Genie, that is specially designed to act as a software engineer for building multiple types of agents.
The Future of Observability: How OpenTelemetry is Shaping IT Operations in the Age of AI
OpenTelemetry (OTel) is going to do for IT operations what open-source software originally did for application development.
Why Generic AI Models Fall Short for Root Cause Analysis
Bringing together the power of LLMs (for conversational troubleshooting) with ML purpose-built for root cause analysis gives your team the best of both worlds
Navigating Beyond the Apex: Reshaping IT Transformation and Organizational Evolution for Sustainable Growth
This article aims to delve into not only the challenges and successes of DevOps but also the broader considerations essential for sustainable growth in the rapidly changing IT ecosystem.
From Scalability to Speed: Generative AI has Put Testing on Steroids
The rapid integration of Generative AI in the last few years has shifted the base toward new testing solutions — the next level in the race for AI aptitude
SRE in the Age of AI
Site reliability engineering (SRE) is a concept introduced by Google in 2004 and since then it has been adopted by various leading software organizations. In its purest form SRE is what you get when you treat operations like it is a software problem. Industry-leading reports point out the strategic value that SRE offers to the […]
Datadog Extends Scope and Reach of Observability Platform
Datadog at its DASH 2024 conference added a bevy of tools and capabilities to streamline DevSecOps workflows, including integration with open-source OpenTelemetry agent software developed under the auspices of the Cloud Native Computing Foundation (CNCF) and the Datadog On-Call tool to optimize incident management workflows in a way that maintains context with observability data already collected.
Fostering an AI-Focused Engineering Team That Accelerates DevOps Maturity
An AI agent is a series of prompts that leverage AI to carry out a role within the engineering team, such as the business owner or tester.
Testing Agents: More than a Copilot
Copilots boost productivity for both use cases but are generally passive tools that must be fed precise requirements to get the desired results.
Can AI Replace DevOps Engineers ?
Let’s figure out what AI does well, where it falls short, and whether DevOps professionals should fear it and start re-skilling today.
Mend.io Adds Tool to Detect Presence of Generative AI Code
Mend.io this week added a MendAI tool to its application security portfolio that identifies code generated by an artificial intelligence (AI) model.
Shreds.AI Launches LLM Platform Trained for Software Engineering
Shreds.AI today unveiled a namesake generative artificial intelligence (AI) platform based on a large language model (LLM) it trained to specifically automate software engineering tasks.
Cisco Adds Generative AI and Deeper Splunk Integrations to AppDynamics
Several Cisco platforms will gradually be integrated into a single data platform, including Cisco AppDynamics, the Cisco ThousandEyes networking monitor service and the Splunk platform.
Building A New Toolkit to Ensure Accurate AI Predictions
Meta created an internal toolkit to help improve the accuracy of AI predictions. Its engineers say it has a hefty set of features that makes a big difference.
Tricentis Adds Additional AI Copilots to Test Automation Platform
The add-on simplifies finding, understanding, and optimizing tests via a chat interface.
SmartBear Applies Generative AI Across API Tool Portfolio
The software testing and monitoring company SmartBear has introduced Generative AI technology to API tools, so enhancing software development and testing.
Building Catchpoint Into CI/CD Pipelines
Catchpoint’s value proposition is simple to understand. It monitors website and application performance beyond your own infrastructure to provide a “user’s-eye view.”
Lineaje Adds Module to Manage Open Source Software Security Lifecycle
This can help DevSecOps teams identify open source software projects that are not being well maintained.
Harness Acquires Split Software for Features Management
Harness today revealed it has acquired Split Software as part of an effort to extend the features management capabilities of its DevOps portfolio. As with all Harness add-on tools, the features management platform developed by Split Software will continue to be made available across multiple continuous integration/continuous delivery (CI/CD) platforms even after Harness has completed […]
JFrog Forms Broad DevOps Alliance with GitHub
JFrog and GitHub today revealed a partnership through which they will work together to integrate their respective DevOps platforms, including integrations with GitHub Copilot, the generative artificial intelligence (AI) framework that is based on large language models (LLMs) developed by OpenAI. Integrations with the JFrog Software Supply Chain Platform and GitHub services and platforms will […]
Logz’s AI Chatbot Makes Your Observability Tools Smart(er)
Everyone is adding AI to their applications. Sometimes that’s overkill. But Logz.io’s IQ Assistant, which purports to make the most of your software stack’s records, actually makes sense.