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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Netdata AI Troubleshooting is Now Generally Available with On-Demand Credits

Since launching our AI investigations and insights in a research preview, one thing has become clear: automated root cause analysis delivers a significant return on investment. Teams have confirmed that instant insights don’t just save a few minutes; they fundamentally shorten incident response cycles, free up valuable engineering hours, and reduce the business impact of downtime.

New in Redgate Monitor: Oracle Data Guard support

Redgate Monitor now supports Oracle Data Guard environments, giving DBAs instant visibility into replication health, lag and role transitions, so Standbys stay in sync and are ready to protect availability and data when needed. DBAs running Oracle Data Guard know that keeping replicas healthy requires constant vigilance. It often involves querying dynamic performance views, such as V$DATAGUARD_STATS, or running Data Guard Broker commands to check lag and role status.

Build and deploy a Pinecone question answering RAG application

Vector databases allow you to store, manage, and efficiently query high-dimensional vector data, which are numerical representations of data like text, images, or audio. Pinecone is a fully managed vector database optimized for fast, scalable similarity search—to power a Retrieval-Augmented Generation (RAG) system. This allows you to enhance language model responses by grounding them in relevant context retrieved from your own documents.

#048 - Shaping the Future of Software Development with Idan Gazit (GitHub Next)

Meet Idan Gazit from GitHub Next, a team responsible for projects like GitHub Copilot. Gazit, despite jokingly claiming to be "the least knowledgeable about Kubernetes," shares his diverse career journey, spanning from early web development with Perl and Django to his time at Heroku and eventually GitHub. He discusses his team's role in prototyping future software development solutions, emphasizing the importance of identifying and nurturing risky, impactful ideas for developers, even if it means "killing projects" that don't gain traction.

Why Cost Optimization Should Be More Like Pulling Levers, Not Using Scissors

The cloud, as we know it today, was created as recently as 2006. For most of its lifespan since then, companies have been throwing money at cloud services with abandon. The competitive edge gained by having the newest, best, and most powerful tools at their disposal made it worthwhile for companies to spend ever-increasing amounts without too much worry.

What is Automated Incident Response

While writing our 2024 recap, we found that teams handled over 2.2 million new incidents. Critical incidents alone tripled, increasing from 3,000 in 2023 to 9,200 in 2024. Dealing with such a large volume of incidents is not an easy task. And dealing with them manually is definitely not easy. Your valuable time goes into routine tasks like creating tickets, setting up war rooms, and notifying stakeholders. These keep you from fixing the actual problem.

AI's Impact on Developer Experience: GitLens Creator Eric Amodio on the Future of Coding

AI is reshaping how developers work, from enhanced autocomplete to agentic workflows. GitKraken CTO and GitLens creator Eric Amodio breaks down the current state of AI in development, potential risks of over-reliance, and where the industry is heading. Learn about the evolution from simple code completion to sophisticated agents, the challenges facing junior vs senior developers, and practical advice for leveraging AI tools effectively.