Operations | Monitoring | ITSM | DevOps | Cloud

In 2021, any time that you access any kind of web service, whether it be via a website or app, chances are high that the backend is running on Kubernetes. Hundreds of thousands of organizations rely on Kubernetes to power and manage their mission critical services every day, and the reliability and scalability benefits offered by Kubernetes have been felt across the industry.

Consumers and users of applications expect near 100% availability and reliability to work, transact, collaborate, etc. There’s a lot of talk about monitoring the performance of the application itself, but what about the underlying systems and components supporting the app, and in particular the infrastructure it sits on? If any piece of this stack fails, it can negatively impact the user experience, and in turn, your business.

The Internet of Things (IoT) is a term that describes the increasingly sophisticated ecosystems of online, connected devices we share our world with. The slightly odd name refers to the fact that the first iteration of the internet was simply a network of connected computers. As the internet grew, phones, office equipment like printers and scanners, and industrial machinery were added to the internet.

Many organizations aspire to a world where everything is in the cloud. But, in reality most IT enterprises still rely on traditional on-prem monitoring technologies. As a market-leading monitoring tool, SCOM is ideally placed for the job; monitoring both on-prem workloads or workloads that link up to the cloud. So, as SCOM is central to most companies’ monitoring, it is essential you understand how to be successful with SCOM!

In collaboration with the AWS team, we have recently released the new Athena data source plugin for Grafana. Athena is an interactive serverless service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena supports a wide variety of data formats including CSV, JSON, ORC, Arvo, and Parquet. Athena also integrates with AWS Glue Data Catalog, which allows you to create tables and query data based on a central metadata store of many AWS services, such as CloudFront, ELB, and more.

When it comes to monitoring your Elixir application, it's challenging to make sense of the many metrics and statistics that you can read from the internals of the Erlang virtual machine. In this post, we'll be looking at the scheduler utilization metric in order to understand what it is, why we should monitor it, and how to monitor it.