EnerKey’s CTO Martti Kontula recently presented on how EnerKey uses InfluxDB Enterprise and Microsoft Azure to power their IoT platform which enables their customers to save millions of euros! Their analytics platform uses sensor data to detect energy usage fluctuations triggered by weather and geospatial data. If you missed attending the live session, we have shared the recording and the slides for everyone to review and watch at your leisure.

Event-driven applications have become the foundation for developing modern digital applications. Application workflows are easier to automate with serverless frameworks, and Amazon EventBridge has revolutionized the way serverless applications are built. Since serverless is the new cool kid in the town, there has been a lot of infrastructure reengineering. This blog describes how alert-driven business logic can automate serverless workflows using Amazon EventBridge.

As many of you already know, we created Grafana using AngularJS, but we have been migrating to React for about two years now. One of the big missing pieces in our migration puzzle was the templating system. This post starts in late 2019 when I first got my hands on this mysterious and complex area of the Grafana code base.

Amazon Web Services Elasticsearch Service enables an organization to deploy, secure, and run their Elasticsearch clusters. AWS Elasticsearch is a cost-effective way to operate at scale. In this article, we will cover.

Since the beginning, Sentry has adopted SemVer (semantic versioning) for all of its open source releases — major versions indicated breaking, backward-incompatible changes; minor versions meant new features, and patch releases were bug fixes only. This process worked fine for a long time. As the open source project evolved and grew into Sentry.io – our SaaS offering – the development team switched to a continuous delivery model.

Around the world, operations teams are working to automate their monitoring and alerting workflows, looking to reduce the time they spend on rote operational work (what we call “toil”), so they can spend more time on valuable work. For instance, Google’s Site Reliability Engineering organization aims to keep toil below 50% of an SRE’s time, freeing them up to work on more impactful engineering projects.

Got the basics down and ready to move on to more advanced aspects of Kusto? You’ve come to the right place! Here you will learn how to use aggregation functions, visualize query results and put your data into context. If you’re just getting started with Kusto, check out our ‘Jumpstart Guide to Kusto’ before starting on this one. Let’s get into it!

In Rancher 2.4, the latest release of Rancher Labs’ open source Kubernetes management platform, you can now manage K3s cluster upgrades from the Rancher UI. K3s is a lightweight Kubernetes distribution from Rancher that you can use to set up your development Kubernetes environment within minutes. It is great for production use cases and is built primarily for IOT and Edge devices. In Rancher 2.4, you can import K3s clusters and can manage the upgrades for it via Rancher itself.

Amazon Web Services (AWS) and Kubernetes (K8s) have proven to be a powerful combination, with more K8s users also using Amazon Elastic Kubernetes Service (EKS) more than any other Kubernetes managed service. With EKS, users are able to benefit from the agility and scalability of Kubernetes on AWS without having to manage the K8s control plane. Paired with Ocean by Spot, users are able to abstract away infrastructure management as well.

Organizations are increasingly looking to containers and distributed applications to provide the agility and scalability needed to satisfy their clients. While doing so, modern enterprises also need the ability to benchmark their application and be aware of certain metrics in relation to their infrastructure. In this post, I am introducing you to a cloud-native bench-marking tool known as Kubestone.