Operations | Monitoring | ITSM | DevOps | Cloud

DevOps engineers wishing to troubleshoot Kubernetes applications can turn to log messages to pinpoint the cause of errors and their impact on the rest of the cluster. When troubleshooting a running application, engineers need real-time access to logs generated across multiple components. Collecting live streaming log data lets engineers: The challenge that engineers face is accessing comprehensive, live streams of Kubernetes log data.

With k6 Cloud, Grafana Labs is in the business of generating load — lots of load, distributed across a cluster of computers. So while our customers care about the systems they load, we care that our system can generate the load that they need and process the test metrics for them in an intuitive, explorable way.

In this third and final part, you’ll get to see a few examples that aren’t strictly related to configuration changes or new tools, but rather ways that traffic replay can help streamline the development process for those deploying in Kubernetes.

For the past couple of years, no one has been able to escape the effects of supply chain problems throughout their personal and professional lives. According to our recent State of Hybrid Cloud Storage survey, storage and the IT equipment that supports storage systems were no exception, and disruptions created extra work and headaches for those teams.

My son, currently nine years old, is an active Cub Scout and we’re coming up on one of the most popular Cub Scout yearly events, the Pinewood Derby. For anyone not familiar with the Pinewood Derby, it is a competition where the scouts are given a small block of wood along with four little plastic wheels and are given the opportunity to design a car that will be raced against other scouts.

OpenShift is a platform that allows developers and operations engineers, or even DevOps professionals, to run containerized applications and workloads. Under the hood, it’s powered by Kubernetes, but there’s an additional architectural layer that makes life simpler for DevOps teams. OpenShift is from enterprise software specialist Red Hat and provides a range of automation options and lifecycle management, regardless of where you choose to run your applications.

We’ve all seen the news about tech layoffs. If you’re an engineering manager, are you having to squeeze more out of existing teams, because adding staff anytime soon is unlikely? Maybe you’re tempted to micromanage your developers, thinking that if you know every aspect of their work, it’ll boost productivity. But, that approach doesn’t feel right, and you know your devs would hate you for it. What’s an engineering manager to do?

Artificial Intelligence (AI) - or more specifically Machine Learning (ML) - and automation were big topics for many of our customers in 2022. Common reasons for the interest in AI and automation were to: increase efficiency, reduce manual processing, minimise human error and - especially for the use of ML - identify ‘unknown unknowns’.

Tech saw a lot of challenges in 2022. ITOps, NOC, and SRE teams grappled with shifts in staffing, a disappearance of those with tribal knowledge, a continuing transformation of consumer spending habits, and a general disruption of workplace culture. So what will 2023 look like for the industry? Likely, more volatility—but our panel of industry experts are here to help you navigate the choppy waters while also making some bold predictions. Change is the only constant in the tech sector.

The use of APIs is at the forefront of automation. There are many ways for developers and applications to make use of APIs, and GraphQL is one way to make the most of the data. As technologies continue to grow and evolve, especially with drivers like the DevOps methodology, it is important to keep on top of better and quicker ways to meet our business goals. This is one of the reasons I find GraphQL to be so exciting, and why everyone should understand it.