Operations | Monitoring | ITSM | DevOps | Cloud

Picture this scenario: It's 2 AM. Your phone starts ringing. There's an incident in staging. You grumble, wake up, check your notifications, only to realize it does not require your immediate attention. After twenty minutes of lost sleep, you're back to bed, only for the cycle to repeat itself a few days later. Sound familiar? For many SREs and on-call engineers, incidents and alerts are unavoidable realities.

Managing SharePoint storage can be a complex task, especially as your organization’s data continues to grow. Keeping track of how much space each site or user is consuming, identifying trends, and ensuring your storage stays within allocated limits are crucial for effective SharePoint management. This is where SharePoint analytics tools can make a significant difference, and SharePoint Storage Explorer stands out as an essential free tool to simplify the process.

Instead of deploying a patchwork of proprietary agents for every platform, a telemetry pipeline lets you route your data through a single, consistent layer—and send it to any backend you choose. Flexibility, achieved. But there’s a catch. If your pipeline is proprietary, you’ve only shifted the lock-in left. Sure, you can now add or swap destinations freely—but you’re still deeply dependent on a vendor in the middle of your data flow.

As one customer put it: “We spend 99% of our time on our ITSM platform and only 1% on PagerDuty.” This simple statement highlights the beauty of PagerDuty—it’s a low-maintenance tool that just works. However, even the best tools benefit from a little governance to ensure they’re being used effectively. Enter the PagerDuty Champions—a small, part-time team dedicated to keeping your incident management practices sharp and your teams productive.

Checkly has always been your early warning system—giving engineering teams unmatched speed and precision in detecting problems through powerful synthetic monitoring. When systems fail, communicating clearly and quickly is just as important as fixing the issue itself. Downtime is inevitable. Confusion doesn’t have to be.

Looking for AWS EC2 alternatives? While EC2 is a popular choice for cloud computing, many DevOps teams are exploring options that better suit their needs, budget, or technical requirements. This guide breaks down the top alternatives, focusing on what matters most—features, performance, pricing, and real-world use cases. We’ll cover the technical details, performance benchmarks, and key considerations to help you make the right choice.

Docker containers continuously generate logs during operation, and without proper management, these logs can consume significant disk space, impact system performance, and create operational issues. Logrotate offers an effective solution for managing these logs in containerized environments. This guide covers the implementation of logrotate in Docker containers – from initial setup through advanced configurations that ensure stable, maintainable container deployments.

This guide covers container port configurations in Kubernetes, explaining key concepts and practical setups. If you're setting up ports for the first time or troubleshooting connectivity issues, you'll find clear explanations and useful examples to help you navigate container networking effectively.

Reliable and scalable code hosting platforms are essential for developers, teams, and businesses. It's not just about keeping services online—speed, data accuracy, and the ability to recover from errors also matter. In 2024, uptime and performance are more important than ever. With so many development workflows depending on CI/CD pipelines, cloud environments, and package management, even short outages can cause major disruptions.

From automating complex workflows to streamlining cross-functional operations, process orchestration plays a vital role in IT, enabling scalable, reliable, and responsive systems. But with so many related terms floating around—automation, BPM, ETL, SOAR—it’s easy to get lost in the jargon. What does ‘orchestrate process’ mean? Is it the same as automation? How does it compare to Business Process Management?