Operations | Monitoring | ITSM | DevOps | Cloud

Launch a production-ready Azure AKS cluster in under 10 minutes, no scripts or DevOps expertise required. Learn how Qovery simplifies AKS setup with full observability, autoscaling, and zero maintenance.

If your container shows Status: unhealthy, Docker's health check is failing. The container is still running, but something inside, usually your app, isn’t responding as expected. This doesn’t always mean a crash. It just means Docker can’t verify the app is working. Here’s how to debug the issue and restore the container to a healthy state.

Kubernetes orchestration isn’t getting any simpler. Today, teams are pushing into AI/ML, edge computing, and multi-cloud automation. And with that, you may be looking beyond Rancher. This guide walks you through today’s top Rancher alternatives, from enterprise-grade platforms like OpenShift to leaner developer-first tools like Lens and Portainer. With this intel, you can then decide which one fits your evolving stack, budget, and business goals.

We’re excited to announce the official release of the UptimeRobot Terraform provider, a feature that many of you have been requesting. Starting today, you can manage your UptimeRobot resources, including monitors, alerting integrations, maintenance windows, and public status pages, directly in your Terraform configuration. Let’s take a closer look.

As Australian government agencies progress in their digital transformation journeys, how can IT leaders innovate without compromising compliance, sovereignty, or operational stability? This blog was originally published on PublicSectorNetwork.com.au on 11th June 2025 and republished with permission.

According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.

SQL Server AI marks the beginning of a new era for data-driven businesses. What was once thought of as a future prediction is now actively transforming database management. With outstanding features like natural language processing, predictive analytics, and automated error handling, managing data with artificial intelligence in SQL Server is faster, easier, and better. If you are a database developer, data analyst, or DBA, using SQL Server AI is no longer optional; it’s a productivity necessity.

Imagine telling your database to get the best five customers by order from six months ago, and you get a well-optimized query instantly. Zero coding. No Googling syntax. Just results. Welcome to the future of database management with MySQL AI. MySQL Artificial Intelligence is a strategic solution transforming the traditional method of managing databases.