Operations | Monitoring | ITSM | DevOps | Cloud

Let's be honest, nobody loves surveys. Ok, well I sure don't. But surveys satisfy a huge need in our demand for insights into complex human-computer, sociotechnical systems. It turns out that we've been measuring the computer part pretty well, but the humans – not as easy to keep track of. When Google SRE first defined toil as a metric we wanted to reduce, we spent far too long trying to quantify it numerically based on tooling and insights from computer systems.

In an era where there’s no shortage of established best practices and tools, engineering teams are consistently finding their ability to prevent, detect and resolve production issues is only getting harder. Why is this the case? Our most recent DevOps Pulse Survey highlighted alarming trends to this end.

Maintain high uptime and performance for your APIs without any overheads using Google Cloud’s API monitoring tools.

The volume of data that IT systems generate nowadays is overwhelming, and without intelligent monitoring and analysis tools, it can result in missed opportunities, alerts, and expensive downtime. However, with the advent of Machine Learning and Big Data, a new category of IT operations tool has emerged called AIOps. AIOps can be defined as the practical application of Artificial Intelligence to augment, support, and automate IT processes.

Docker is one of the most popular tools for containerization, and several tools have been developed by the open-source community to monitor what happens inside of Docker containers. This guide focuses on one tool specifically: cAdvisor.

As we all know, Windows is one of the most popular operating systems in the world. It has a dominant share in the desktop computer market, with more than 70% of the machines running the operating system. It makes sense, then, that the Windows integration is also one of the most used and popular integrations in Grafana Cloud.

Starting this one off on a different chord! Startups are challenging yet fulfilling. There is always a long road ahead - full of challenges and uncertainties. Yet, sometimes we hit a milestone and feel nostalgic about the journey completed. 10,000+ GitHub stargazers seemed like a distant dream, but finally, it’s here. Moments like these are special to the team. We are grateful to the developer community for their continued support since our inception.

A few weeks back, I got the chance to sit down with our very own Jordan Perks from the Cribl Customer Success Team. Jordan is an Observability subject matter expert AND knows a thing or two about Cribl Products! After geeking out a bit about data best practices, we started chatting about enabling our customer champions to have different conversations with stakeholders across their organizations. When someone becomes an observability engineer, they step into a much different role.

Apache Airflow is an open-source orchestration platform that enables the development, scheduling and monitoring of tasks using directed acyclic graphs (DAGs). Here at Sumo, our team has been using this technology for several years to manage various jobs relating to our organization’s Global Intelligence, Global Confidence, and other data science initiatives. We self-host the tool through Kubernetes.