Operations | Monitoring | ITSM | DevOps | Cloud

The UK Government’s G-Cloud-13 framework is live, with loads of new services available to UK organisations. Discover Aiven’s offering here!

NestJS is a popular framework for Node.js that allows you to build efficient and scalable backend applications. With AppSignal, you can monitor your NestJS app with ease and rely on OpenTelemetry to handle third-party instrumentations. AppSignal even provides helper functions to help you build comprehensive custom instrumentations. This article aims to help you get the most out of your AppSignal integration.

Agencies have taken a siloed approach to deploying technology solutions to meet government digitization and modernization goals. Although this allows them to roll out rich digital experiences for citizens and employees, it’s not a scalable method—nor is it effective in terms of cost and resources. Like many agencies, the U.S. Department of Labor (DOL) had several key platforms in place to drive its digitization efforts, but the management of these platforms lacked centralization.

When it comes to cloud costs, engineers have a particular reputation. The executive suite and finance department often share perplexing frustration about why engineers appear not to care about budgets and costs at all. They provide hard budget limits, yet engineers frequently surpass them, citing performance and user experience as reasons for the excess spending.

Building digital platforms, and platform engineering teams to support them, isn’t new. The platform approach first emerged more than 20 years ago and predates the DevOps movement that began in the mid-2000s. But the recent surge in popularity of platform engineering has caused some to argue that “DevOps is dead” and modern platform engineering has replaced it. Here’s what we found in the 2023 State of DevOps Report to counter that argument.

Scottish essayist Thomas Carlyle may not have been thinking about remote working tools for software development teams when he wrote, “Man is a tool-using animal. Without tools, he is nothing; with tools, he is all”. However, the statement is apt in this age of the internet with hundreds of thousands now working from remote locations. The statement is especially true for team leaders charged with the herculean task of managing remote software development teams.

Many organizations rely on distributed tracing in Datadog APM to gain end-to-end visibility into the performance of their Kubernetes applications. But as teams grow, it can become impractical for them to manually configure each new application with the libraries and environment variables needed for tracing.

Kubernetes turns 9 this year and with its maturity each year, it brings new challenges that drive seismic influence across the rapidly changing cloud native ecosystem. Each year we see new tools created and existing solutions optimized from new lightweight distributions, new features across Kubernetes management platforms, and container security solutions, all adding value to users but simultaneously contributing to the complexity are facing to run Kubernetes successfully.

Our development teams continue to improve Progress Flowmon. The latest update takes the core Flowmon product to version 12.2, while our industry-leading Anomaly Detection System (ADS) gets incremented to ADS 12.1.

Have you heard about traces? Most likely, yes! Do you confuse it with auditing? Hope not. Today, we're going to talk about tracing, specifically “Distributed Tracing,” and do a deep dive into it. Once we’re familiar with distributed tracing, we will show you how to implement it with OpenTelemetry - a new-age observability framework.