Operations | Monitoring | ITSM | DevOps | Cloud

In today’s fast-paced digital landscape, customers expect seamless and reliable user experiences and have little tolerance for poor performance or downtime. In order to avoid the costs to revenue and reputation that can come from poor customer experiences, organizations across all industries are increasingly prioritizing digital experience monitoring (DEM), the practice of monitoring how end users interact with business-critical applications in order to understand and optimize user journeys.

AIO Monitoring refers to the practice of tracking and analyzing the presence and impact of AI Overviews in search engine results pages (SERPs). AI Overviews are AI-generated summaries that appear at the top of SERPs, providing users with concise answers to their queries without necessitating a click-through to a website. This shift has profound implications for organic traffic and visibility, prompting SEO professionals to seek effective monitoring solutions.

At ScienceLogic, transparency and integrity are not just principles—they are the foundation of our mission. We are proud to share that ScienceLogic has been recognized as a Trusted Seller by TrustRadius. This distinction affirms our dedication to ethical review sourcing, accurate product information, and building customer trust.

Can you ever get too much data? With modern architectures getting increasingly more complex with hundreds of microservices and containers, data volume grows at an exponential rate, and there’s no pause in sight. In this era of ever-expanding volume of telemetry, it’s nearly impossible to separate valuable data from noise, making things like root cause analysis or alerting needlessly more complicated, while putting pressure on the performance of your stack, your scalability and budget.

At Honeycomb, we believe that observability should be accessible, effective, and transformative. That’s why our customer education team is thrilled to introduce Honeycomb Academy, a learning hub designed to help our customers of all experience levels master observability, OpenTelemetry, and the Honeycomb platform.

Finances, strategy, and market expansion are all common CEO concerns. However, CEOs also need to focus on automatic advanced observability across highly dynamic environments. Network observability has become a boardroom discussion point because downtime directly impacts business performance. Observability helps reduce costs and enhance service quality. But what is network observability? Is observability truly necessary if you have a monitoring solution in place?

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.

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.