Operations | Monitoring | ITSM | DevOps | Cloud

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

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending

Oracle maintains its top-ranking spot; persistent growth trends from PostgreSQL and Snowflake highlight Q1 2025 rankings analysis. DB-Engines is today sharing Q1 analysis of the database industry rankings and top climbers. While Oracle has maintained its top-ranking spot as the most popular database for several years, we are seeing persistent growth trends from PostgreSQL and Snowflake, which has broken through to sixth place for the first time this quarter, overtaking Redis.

A Closer Look at Docker Build Logs for Troubleshooting

In the world of containerization, understanding what's happening under the hood during image builds can mean the difference between smooth deployments and frustrating debugging sessions. Docker build logs are your window into this process, offering crucial insights that help you optimize builds, troubleshoot errors, and maintain robust container infrastructure.

How to Connect ELK Stack with Grafana

In today’s distributed systems world, you need clear visibility into logs, metrics, and everything in between to keep systems healthy and reliable. That’s where the ELK Stack and Grafana work well together—each solving a different part of the observability puzzle. ELK handles the heavy lifting of log collection and processing. Grafana adds intuitive dashboards and powerful visualizations.

Creating and testing a RAG-powered AI app with Gemini and CircleCI

Have you ever asked an AI model a question and received an outdated or completely off-base response? I’ve been there too. The problem is that most AI models rely solely on their pre-trained knowledge, which becomes obsolete over time. This is where RAG can help: RAG is a hybrid AI technique that combines the advantages of retrieval systems and generative models. It bridges the gap by bringing in real-time information from external knowledge sources to improve the generation quality.

Best VPS for Machine Learning

When it comes to machine learning, choosing the right Virtual Private Server (VPS) can significantly impact your project's performance, scalability, and cost-effectiveness. A VPS provides dedicated resources that can handle the intensive computational tasks associated with training machine learning models. Here, we explore the best cheap GPU VPS options for machine learning, highlighting the importance of GPUs and introducing Cloudzy as a leading choice.

4 Tips for Developing Model Context Protocol Server

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.

APM Observability: A Practical Guide for DevOps and SREs

Modern application architectures have evolved from simple monoliths to complex distributed systems spanning multiple environments. This evolution has transformed how we approach monitoring and troubleshooting. Traditional monitoring methods that focus solely on uptime and basic health checks are no longer sufficient for understanding system behavior in cloud-native environments.

10 AWS Alternatives To Consider When AWS Isn't The Right Fit

Amazon Web Services (AWS) is still the largest cloud service provider today. With over 240 cloud products, this Amazon.com subsidiary offers cloud, on-premises, serverless, and edge computing services. But bigger isn’t always better, and we’ll share why, plus explore the top AWS alternatives to consider if you’re thinking about making a switch.