Operations | Monitoring | ITSM | DevOps | Cloud

When Dolly Parton sang about “Workin’ 9-5”, she almost seemed to understand the very specific pain of sitting at an IT help desk and getting one last call at 4:59 in the afternoon. When you pick up that last call of the day, the last thing you want is to begin a long, arduous investigation.

Grafana Loki is an open source logs database built on object storage services in the cloud. These services are an essential component in enabling Loki to scale to tremendous levels. However, like all SaaS products, object storage services have their limits — and we started to crash into those limits in Grafana Cloud Logs, our SaaS offering of Grafana Loki.

Last October, Splunk Observability Evangelist Jeremy Hicks wrote a great piece here about the Four Golden Signals of monitoring. Jeremy’s blog comes from the perspective of monitoring distributed cloud services with Splunk Observability Cloud, but the concepts of Four Golden Signals apply just as readily to monitoring traditional on-premises services and IT infrastructure.

Docker is designed for Linux. It works most efficiently on Linux systems due to its close integration with the Linux kernel. When handling large filesystems, like the ones built with PHP and Node, Docker desktop (MacOS Environment) experiences significant lag. The main reason is how file synchronization is implemented in Docker for Mac. Plus, disk space consuming behavior of such big PHP Projects.

Observability solutions can easily and rapidly get complex — in terms of maintenance, time and budgetary constraints. But observability doesn’t have to be hard or expensive with the right solutions in place. The future of your observability can be a bright one.

Observability is being built by engineers for engineers. In reality, o11y is for all.

From its humble beginnings, Kubernetes’ growth story continues to be a testament to the power of open-source collaboration, and its current 1.28 second release is certainly no exception. It’s not just a product of ingenious coding but also the sweat and night oil of a global community – from seasoned industry stalwarts to students just making their debut in the open-source world.

IT monitoring tools are often complex to license and their licensing models are not always cost-effective. Today, I’ll cover some of the licensing models you may encounter as you evaluate IT monitoring tools. I will also highlight how eG Enterprise licensing makes it a cost-effective, affordable and flexible choice for our customers using our monitoring and observability platform.

The TensorFlow framework, developed by Google, is one of the most important platforms for creating deep neural network research and for training machine learning algorithms. Generally, it runs on the server side using powerful GPUs, consuming power and a lot of memory.