Operations | Monitoring | ITSM | DevOps | Cloud

Today marks an exciting moment for all of us at Coralogix. We’re proud to share that Gartner has named us a Visionary in the 2025 Magic Quadrant for Observability Platforms. This recognition, we believe, reflects what we’ve been building toward for years: an observability platform that delivers scale, cost-efficiency, AI-powered insights, and tangible customer success.

Observability has an investigation problem, and dashboards and alerts aren’t enough for solving problems in today’s complex systems. AI-driven capabilities, powerful analytics, and the ability to scale are essential to drive real-time investigations while keeping costs low. We think this is why Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second time.

As systems move to microservices, serverless, and multi-cloud setups, debugging gets harder. You’re no longer dealing with a single log file; you’re looking at logs from dozens of services, running across different environments. Traditional debugging methods like SSH-ing into servers or adding print statements don’t scale in these environments. Cloud log management tools help by collecting logs from all your services into one place.

Let's be honest: most conversations about AI ethics sound like they're happening in a boardroom, not an ops room. But here's the thing, when you're using AI to make sense of your telemetry data, ethics isn't some abstract concept. It's the difference between insights you can trust and algorithmic noise that leads you down the wrong path. The uncomfortable reality? Your AI is only as ethical as the messiest, most biased piece of telemetry data you feed it. And if you think your data is clean, well...

‍ We're not witnessing the end of observability, we're witnessing its evolution into something far more powerful. The observability industry is having its Moneyball moment. Just like Billy Beane revolutionized baseball by using data analytics to compete with teams that had vastly larger budgets, observability is undergoing a fundamental transformation.

When a container misbehaves, logs are the first place to look. Whether you're debugging a crash, tracking API errors, or verifying app behavior—docker logs gives you direct access to what's happening inside. This blog covers the full workflow: how to retrieve logs, filter them by time or service, and set up logging for production environments.