Operations | Monitoring | ITSM | DevOps | Cloud

This is last installment of our 3-part series on running ELK on Kubernetes with ECK. If you’re just getting started, make sure to check out Part 1 and Part 2. With that, let’s jump right in.

This part 2 of a 3-part series on running ELK on Kubernetes with ECK. If you’re just getting started, make sure to checkout Part 1.

A typical modern DevOps pipeline includes eight major stages, and unfortunately, a release bottleneck can appear at any point: These may slow down productivity and limit a company’s ability to progress. This could damage their reputation, especially if a bug fix needs to be immediately deployed into production. This article will cover three key ways using data gathered from your DevOps pipeline can help you find and alleviate bottlenecks in your DevOps pipeline.

Elasticsearch is an open source, distributed document store and search engine that stores and retrieves data structures. As a distributed tool, Elasticsearch is highly scalable and offers advanced search capabilities. All of this adds up to a tool which can support a multitude of critical business needs and use cases. To follow are ten of the key Elasticsearch configurations are the most critical to get right when setting up and running your instance.

This week, the world stopped for a few hours as Google users experienced an outage on a massive scale. The outage affected ALL services which require Google account authentication. This includes the Google Cloud Platform (Cloud Console, Cloud Storage, BigQuery, etc.), Google Workspace (Gmail, Calendar, Docs, Drive, etc.) and Google Classroom. With the myriad of affected platforms, this particular outage was far from passing by unnoticed by users.

More and more employers are looking for people experienced in building and running Kubernetes-based systems, so it’s a great time to start learning how to take advantage of the new technology. Elasticsearch consists of multiple nodes working together, and Kubernetes can automate the process of creating these nodes and taking care of the infrastructure for us, so running ELK on Kubernetes can be a good options in many scenarios.

Kubernetes monitoring can be complex. To do it successfully requires several components to be monitored simultaneously. First, it’s important to understand what those components are, which metrics should be monitored and what tools are available to do so. In this post, we’ll take a close look at everything you need to know to get started with monitoring your Kubernetes-based system.

Breaking down larger, monolithic software, services, and applications into microservices has become a standard practice for developers. While this solves many issues, it also creates new ones. Architectures composed of microservices create their own unique challenges. In this article, we are going to break down some of the most common. More specifically, we are going to assess how observability-based solutions can overcome many of these obstacles.

If you’re reading this, you have probably been convinced that taking on Kotlin for your mobile application is the most sensible choice. Now that you’ve come to this decision, it’s imperative to know what you need to do to stay on top of your monitoring and logging. Like with any application or system, they are essential, cornerstone qualities of any successful project.

When we look at information, numbers, percentages, statistics, we tend to have an easier time understanding and interpreting them if they’re also represented by corresponding visual cues. Kibana Canvas is a tool that helps us present our Elasticsearch data with infographic-like dashboards – fully visual, dynamic, and live.