Kubernetes (or “K8s”) is an open-source container orchestration tool developed by Google. In this tutorial, we will be leveraging the power of Kubernetes to look at how we can overcome some of the operational challenges of working with the Elastic Stack.
Yesterday at KubeCon + CloudNativeCon EU, Grafana Labs software engineer Marco Pracucci, a Cortex and Thanos maintainer, teamed up with Thor Hansen, a software engineer at Hashicorp, to give a presentation called “Scaling Prometheus: How we got some Thanos into Cortex.” In their talk, the pair discussed a new storage engine they have built into Cortex, how it can reduce the Cortex operational cost without compromising scalability and performance, and lessons learned from running Cortex at s
Get started with Gremlin’s Chaos Engineering tools to safely, securely, and simply inject failure into your systems to find weaknesses before they cause customer-facing issues. Today, Gremlin is excited to announce the ability to share a Scenario across your entire organization. This allows you to build up a library of reliability exercises that are customized to your company’s applications and technology.
Sometimes technology partnerships are greater than the sum of their parts. That’s the case with two Swiss companies who have come together to deliver Kubernetes solutions to their customers. VSHN is Switzerland’s leading 24/7 cloud operations partner and first Kubernetes Certified Service Provider. amazee.io is an open source container hosting provider that offers flexible solutions built for speed, security and scalability.
Rancher Labs’ recent launch of Longhorn was in response to DevOps’ distress call for a cloud-native persistent storage solution for Kubernetes. At the time, industry pundit Chris Mellor posted that the company had entered into direct competition with its partners Portworx and Storage OS. A healthy dose of coopetition may be more like it.
When you see a notification on your smartphone, your brain processes the request quickly and determines how to react. It’s an efficient process and your nervous system is built for this use case. By contrast, most Internet-connected systems work in a less event-driven architecture. If there’s a change in one service, you won’t know about it until you check.
If you’re a Marvel® Comics fan, you might have heard about the superhero named Darwin. Darwin can evolve based on need and environment. For instance, he can acquire night vision for his evening’s mission or develop gills if swimming underwater. As with Darwin, adaptation is an essential skill for many IT operations superheroes out there as well, tough times or not.
Performance has been a top user concern and an area of investment for InfluxDB Cloud since launching a year ago. The theme of our recent performance push is aggregations; we took a vertical slice from backend platform to front-end user interface to improve aggregations across the full stack.
Software development (SDLC) value streams aren’t difficult to understand; you correlate all activity in the development process from planning to prod and relate activity to key objectives such as impact on revenue, application quality and user satisfaction. Unfortunately, most organizations approach value streams on an ad-hoc, manual basis. This approach to value streams requires significant effort, is prone to error and creates huge opportunity costs.
I have recently been heads-down working on a large Splunk Cloud PoV (20+ TB / day), and the customer asked if Splunk supported their forwarding technology called Vector. I had never heard of Vector, so I took a note to do further research. I couldn’t find anyone else at Splunk who had seen this technology before, so I embarked on a little research project. What I discovered surprised me—Vector is actually fairly powerful, and cool!
