The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
The fetch API allows you to make network requests similar to XMLHttpRequest (XHR). We already wrote a blog about how Fetch API are simple and yet powerful compared to XHR. Atatus now supports Fetch API monitoring out of the box. You don’t need any special configuration to measure performances of the Fetch API.
We’ve updated Instrumental’s pricing to be fully metered and we replaced our 30-day trial with an entirely free Development Plan. While Instrumental’s pricing has been usage-based for a long time, this new model eliminates our plans and minimum spend requirements. With no minimum monthly spend, Instrumental is now a much better fit for smaller projects.
Last week-end, we were attending FOSDEM, in Brussels for one of the largest and maybe the largest open source conference over the world with about 8000 attendees from all over the world. Here is our recap.
Instrumental receives a lot of raw data, upwards of 1,000,000 metrics per second. Because of this, we’ve always used an event queue to aggregate the data before we permanently store it. Before switching to AWS Kinesis, this aggregation was based on many processes writing to AWS Simple Queue Service (SQS) with a one-at-a-time reader that would aggregate data, then push it into another SQS queue, where multiple readers would store the data in MongoDB.
There has been much discussion about the new parameters that Insight/Director provide with ICA Round Trip Time (RTT). The general perception is that ICA RTT provides the end-to-end response time for applications or desktops delivered. This is NOT correct. Many times the application or VDI published will access the backend infrastructure that supports the application or VDI. The back-end infrastructure response time is not part of the ICA RTT.
The serveless computing becomes super popular among developers. AWS Lambda functions is one of the best serverless compute service. Using Atatus APM, You can start monitoring your functions on AWS Lambda.
Traditionally, Application Performance Management (APM) is usually associated with solutions that instrument application code. There are two fundamental limitations with such associations. If instrumenting the code is what APM is all about, then APM is applicable only to homegrown applications for which access to code is available.
