Operations | Monitoring | ITSM | DevOps | Cloud

Interpreting data and making fast decisions is critical for any leader in today's business world. But how is it done? Everyone remembers the old way of doing things where analysts would manually crunch the numbers and give a final output. This business intelligence would be presented to their boss, and decisions would be made. This batch way of running numbers and presenting them is not sustainable due to the massive amount of manual effort involved to recompile datasets and present them properly.

Let’s get to the point about data management: Businesses need data, but accumulating too much can be detrimental. Data overcrowding can corrupt IT professionals, turning them into greedy hoarders. Being indigestible with excessive repeated, outdated or banal information, the so-called ROT data, is bad. Companies of the world! The Devil tempts you with Big Data! Something that, if too much, could be harmful! We tell you all about it in this article.

WebPageTest recently completed a year as part of the Catchpoint family (yes, we acquired a company during the pandemic). In the past twelve months, we have built an entire WebPageTest team to power the developer experience around web performance. We’ve also launched initial premium experiences on the platform. Our developer community continues to contribute to the beloved open-source version, as well as share best practices with other users.

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.

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.