The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Since AWS Lambda was launched in 2014, serverless has transformed the way applications are built, deployed, and managed. By abstracting away the underlying infrastructure, developers are able to shift operational responsibilities to the cloud provider and focus on solving customer problems.
PromQL is the querying language that is part of Prometheus. In addition to PromQL, Prometheus provides a scraper that fetches metrics from instances (any application providing metrics) and a time series database (TSDB), which stores these metrics over time. This introduction to PromQL will be largely decoupled from specific tools and the non-PromQL parts of Prometheus, in order to focus on the features of the language itself.
Today, we will dive into one of the hard parts of using any monitoring - making sense out of all the data that is emitted. We think this is one of the hard parts. And being developers building for developers, we think a lot like you do – we think. Pun intended. Nowadays, we monitor AppSignal with AppSignal (on a separate setup), so we are still dogfooding all the time. We still run into challenges as you do, often before you.
For those who don't know me, I'm a former SCOM admin, and I blog regularly about monitoring and co-organise Experts Live India each year. As one of SquaredUp's tech evangelists, I've recently taken on the task of figuring out Azure Monitor and documenting my journey so that others can find my — sometimes torturous — journey less taxing. This write-up is for you, hope you enjoy!
You know Big-O is important - not only for acing your next job interview but for knowing how code works at scale. But have you ever taken the time to go beyond a superficial understanding of the subject? In this article, Julie Kent uses equal parts math and Ruby to reveal the beating heart of Big-O and show us how it ticks.
The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.
The potential for disrupting business is much greater when you decommission a data center than if you’re constructing one. The process involves a lot more than just shutting down servers, turning off switches, and dismantling storage racks. In this article, we’ll consider some of the specifics and best practices required to achieve a smooth decommissioning process.
Today we’re excited to announce the general availability of InfluxDB Cloud for Google Cloud. With this new service, GCP users can now use our leading time series data platform on Google infrastructure. This lets you address a wide range of use cases: server monitoring, IoT sensor data tracking, real-time customer analytics, application performance metrics, network monitoring, security threat detection, and financial market analysis.
