Microsoft this week added a bevy of tools to its portfolio that infuses generative artificial intelligence (AI) into DevOps workflows.
A Gentle Introduction to Continuous Monitoring and Optimization
The main objective of continuous monitoring is to help companies identify problems early enough for a DevOps team to address them before bad things happen.
Security, Automation and Developer Experience: The Top DevOps Trends of 2024
If you want to know what’s truly changing in the world of DevOps – as opposed to which conversations are most hype-worthy – these are the places to look.
Harness Survey Surfaces Raft of DevOps Challenges
A survey of 500 software engineering leaders (38%) and practitioners finds nearly half reporting they can’t release code to production without risking failures, with 39% noting their code fails to push to production at least half the time.
GitLab Readies Enterprise Edition of AI Tools for DevOps
GitLab this week revealed that, in the coming months, it will add an enterprise edition of its artificial intelligence (AI) add-on for its namesake continuous integration/continuous delivery (CI/CD) platform.
Building Toward Unified Observability
Observability, AI and automation can help organizations achieve proactive IT management and eschew traditional monitoring. Here’s what’s involved.
Survey Credits Engineering Teams With Keeping Lid on Cloud Costs
A CloudZero survey credits engineering teams with keeping cloud costs under control, but there’s still some room for improvement. A survey of 1,000 U.S. engineering and finance professionals working in […]
StarTree Makes Observability Case for Apache Pinot Database
StarTree broadly enhances its real-time database platform by adding query support for metrics, logs and traces. StarTree today made a case for becoming the foundation upon which observability is gained […]
The Role of DevOps in Orchestrating Enterprise-Wide Cloud Security
By implementing DevSecOps practices, organizations can proactively address security concerns early in development, reducing vulnerabilities.
Oracle Plans to Apply Generative AI to Java and SQL
Oracle is developing a generative AI assistant that uses multiple LLMs to create Java and SQL code. Oracle Code Assist will provide expert, opinionated feedback for code snippets, dependency analysis, error mitigation alternatives, test cases, annotation, summarization and documentation.
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