In a recent blog article, we covered how the license changes for VMware virtualization may impact many of our partners and customers and are driving uncertainty in the market and causing many to consider their virtualization migration strategy, see Will Broadcom’s plans for VMware affect you? | eG Innovations.

Monitoring tools are essential for maintaining stability and performance. They enable organizations to monitor diverse metrics, analyze trends, and identify anomalies to prevent downtime and maximize resource efficiency. Among the leading solutions in this domain, both Datadog and Grafana are recognized for their effectiveness and versatility. Understanding the nuances between these platforms is vital for businesses to make informed decisions about which tool best suits their needs.

With a growing number of enterprises adopting Software Defined Cloud Interconnects (SDCIs) to better support their hybrid- and multi-cloud architectures, what are the features, functions and capabilities you should look for when choosing your private connectivity partner?

The main objective of the ELK (Elasticsearch, Logstash, and Kibana) is to aggregate logs. However, with the increased usage of ELK and Kubernetes as a pairing the solution can go beyond the aggregation of standard logs and include monitoring and analysis of Kubernetes telemetry data. Therefore, more users are looking at deploying the ELK stack on Kubernetes. Yet, deploying the ELK stack on Kubernetes can be a complex task but with the assistance of Helm charts, the process is much simpler.

One of the most powerful features of Grafana is the ability to unify and derive value from your data, regardless of where that data lives. This is because we’re fully committed to making Grafana an open, composable, and extensible observability platform for our more than 20 million users worldwide. But how exactly do we deliver on that promise of openness and extensibility? Grafana data source plugins play a big role.

This is the second in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and last posts, you can find it here. In the dynamic world of managing observability and telemetry data, pricing models for tools and platforms are showing their age, creating a significant disconnect between vendors and the IT and security teams they serve.

Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.

Serverless architecture has emerged as a pivotal technology for developers seeking to build scalable, efficient applications without the overhead of managing servers. At the heart of this revolution are services like AWS Lambda and API Gateway, which have redefined how we deploy and scale applications, offering a truly pay-as-you-go model that aligns operational costs directly with actual usage.

In today’s increasingly dynamic digital world, the need for end-to-end network visibility has never been more critical. These requirements are especially profound for managed service providers (MSPs) and communications service providers (CSPs). MSPs and CSPs find themselves at the epicenter of digital transformation.

This article will teach you to check disk space usage in Linux with simple commands. Learn how to monitor disk space, identify large files, and free up storage on your Linux system.