Operations | Monitoring | ITSM | DevOps | Cloud

In today’s complex data landscape, continuous profiling has become essential for detailed insights into application resource usage. Grafana Labs is now advancing this field with the introduction of Span Profiles in Grafana 10.3. The Span Profiles feature represents a major shift in profiling methodology, enabling deeper analysis of both tracing and profiling data. Traditional continuous profiling provides a system-wide view over fixed intervals.

Software license management has become a major issue for companies. Whether it’s for finance, human resources, sales, production, communication, or any other department, the software is used in every department. However, with the proliferation of license types, it is increasingly difficult to manage them efficiently. Here are 5 best practices to improve software license management.

As businesses rely on equipment and assets to operate effectively, it is critical to ensure that they are maintained and replaced as needed. The key to successful asset management is the ability to predict future needs before they arise. This is where reports and data analysis come into play.

Beehives in backyards. Rocket launches in California. Sourdough starters in mason jars. Shipping containers growing strawberries in Paris. “The stories you can tell from just a graph were really surprising,” says Grafana creator Torkel Ödegaard. But not impossible with Grafana, the ubiquitous open source visualization tool that is not just for monitoring applications.

Google Cloud, the number three player in the global IaaS and PaaS sectors, secured a market share of 10% towards the end of 2023 with similar commitments to AI that we’re seeing across the cloud provider board. Although growth at Google Cloud hit 24% year-on-year in Q3, according to Canalys, performance was lower than expectations as the cloud provider struggled more than its peers with the delayed impact of enterprise’ IT cost-cutting measures.

In today’s economic and regulatory environment, data sovereignty is increasingly top of mind for observability teams. The rules and regulations surrounding telemetry data can often be challenging to interpret, leaving many teams in the dark about what kind of data they can capture, how long it can be stored, and where it has to reside. In the past, addressing these issues at scale was a costly endeavor.

Did you know you can deploy Tetragon and parse high-volume logs with Cribl Edge? It’s true! Tetragon integrates seamlessly with Cribl Edge. This combination enhances monitoring capabilities in Linux environments. Have your cake and eat it, too. With a combined Cribl and Isovalent solution, you can deliver deep insights into your workloads, optimizing for your specific operational requirements with zero loss of data fidelity.

In the complex landscape of microservices within Amazon Elastic Kubernetes Service (EKS), maintaining seamless connectivity within microservices is paramount for ensuring optimal performance and reliability. As organizations increasingly embrace microservices architecture, understanding how to observe and troubleshoot microservices connectivity issues in Amazon EKS becomes a critical skill set.

Kubernetes is an open-source platform designed to automate deploying, scaling, and managing containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Understanding the architecture of Kubernetes is crucial for anyone who works with this platform. It helps you to better understand how different components of a Kubernetes cluster interact with each other and how applications are run on this platform.