Operations | Monitoring | ITSM | DevOps | Cloud

Speedscale is delighted to join the Google Cloud Partner Advantage program as a technology partner giving GCP customers the ability to stress test their GKE clusters under production-like workload conditions.

While doing some new.NET exception landing pages to link to from the elmah.io app, I had some fun challenges integrating with various services. One of them is YouTube to show relevant YouTube search results on the page. In this post, I'll share with you how to do YouTube searches from C#.

In previous posts we covered why it’s important to monitor APIs and how to monitor and validate data from APIs. In this post we’ll focus on a simple but key feature that helps Splunk Synthetic Monitoring users create robust checks for availability, response time, and multi-step processes: Request Headers

Go, often referred to as Golang, is a popular programming language built by Google. Its design and structure help you write efficient, reliable, and high-performing programs. Often used for web servers and rest APIs, Go offers the same performance as other low-level languages like C++ while also making sure the language itself is easy to understand with a good development experience.

GraphQL is a query language for APIs developed by Facebook in 2012. It was then open-sourced in 2015. GraphQL enables frontend developers or consumers of APIs to request the exact data that they need, with no over-fetching or under-fetching. In this article, we will learn how to monitor GraphQL APIs with the open-source APM tool, SigNoz. GraphQL has become a popular alternative to REST because of its ease of use. It enables developers to pull data from multiple data sources in a single API call.

Aiven for Apache Kafka® A quick intro to Kafka's five APIs.

I have been playing around with the Trello REST API recently. To my surprise, there doesn't seem to be any actively developed client package for.NET and Trello doesn't show examples in C# on their website. Here's a quick overview of what I have learned.

ContainIQ runs all infrastructure on Google Cloud (GKE), and was able to get Speedscale installed within a few minutes. After installing the Speedscale operator, ContainIQ began capturing traffic from the primary gateway where service calls come into a cluster.

I guess at this point, you have heard of a company called Amazon and its business unit called Amazon Web Services, or AWS. Although you can read different stories about its beginning, one common thread across all of them is that it started with the need to scale quickly while enabling developers to deploy their services rapidly.