Organizations are turning in droves to Prometheus to monitor their container and microservice estates, but larger companies often run headlong into a wall: They face scaling challenges when they move beyond a handful of apps.
Whether you are using our Cloud Storage Management software to gain insights into your Azure storage environment, or are just trying to work out how to save costs within Azure, creating a lifecycle management policy is a great idea to help you save in your Azure storage costs.
Open source companies are amazing places to work for engineers. Your work is showcased to the world through private open source companies like GitLab and HashiCorp (makers of Terraform and Vault), and through public ones like Elastic, GitHub, and RedHat—all of which have enormous impact.
In today’s Tip of the Day, we will be looking at some of the highlights in our new release: Gullfoss. Named after the spectacular 32 meters waterfall in Iceland, our latest release is no less impressive. All the Catchpoint releases in 2020 have focused on the GUI, workflows, and getting you the answers you need in as few clicks as possible.
Thanks to awesome contributions from the community and the hard work of our integrations team, the Honeycomb Rails integration comes with lots of great features out of the box. This post is an end-to-end tutorial to show you exactly the steps involved, from creating a new Honeycomb team to getting your data in and observing your app in production.
Being able to easily monitor the health of all your sites and services from multiple global locations is a powerful tool for site reliability. However, no one wants to sit and stare at a status dashboard all day. Naturally, teams want to be alerted when there is an issue. We can do that with alerting in Kibana. And when coupled with Elastic machine learning, alerts can be automatically generated from anomalies that are automatically detected. That’s the power of Elastic Observability.
If you’ve heard of the term “serverless architecture” but you have no idea what it means, don’t feel bad. This buzzword (buzz-phrase?) has been on the rise for the past few years, and it doesn’t look like it’s going to stop. More and more cloud companies are trying to promote serverless architectures for businesses. There are plenty of benefits to using a serverless architecture for your business.
We examined best practices for logging in a prior series. However, how can you apply those best practices in real life? Let’s dive into how you could use LogDNA in an opinionated manner to utilize best practices to bring value to your DevOps-focused projects. How can we ensure we follow best practices and keep our logs secure and compliant as noted in the previous series? Let’s pretend we’re setting up centralized log management with LogDNA for a new team and project.
