Scout Blog
It was a great night of chatting, coding, and application performance monitoring in Tokyo. Thanks to everyone who came out to hear our very own Naohiro present about Fast JSON:API. How does Fast JSON:API compare to other Active Model Serializers? Naohiro showed us how he switched from Jbuilder to Fast ...
A couple of years ago I visited Argentina. I have trouble enough pronouncing my limited English vocabulary and I don't speak Spanish, but after a bit of time, it was pretty easy to order food, buy groceries, and use a taxi. However, occasional hangups that happen during my regular life ...
We launched our Python agent a few months ago, supporting Python 3.4+.
Elixir has Arrived Elixir is a programming language that is beginning to gather steam. Originally released in 2011, it is a functional and dynamic language, and runs on the Erlang VM (Virtual Machine). Elixir is highly scalable and fault tolerant. In other words, Elixir is perfect for today's software landscape of microservices and cloud computing.
We've had sparkline charts of response time for a long time on our Endpoints tab, and now have extended them to the throughput column as well. Quickly isolate endpoints that are spiking with traffic, and drill down into them to diagnose. No need to hunt to see what's causing an unusual trend in traffic.
I don't know of an easier way to deploy a Django app than letting Heroku do the work. That said, how do you stay on top of your app's performance, errors, and stability post-launch? Running an app on Heroku is a blissful experience, but it presents some monitoring challenges that ...
This post covers instrumenting a Django app with StatsD. StatsD is logging for metrics and is the missing swiss army knife in your measurement toolbelt.
Once your Rails app begins seeing consistent traffic, slow SQL queries will likely rear their ugly head, but how can you easily tell where your app is slowing down?
The Django ORM makes it easy to fetch data, but there's a downside: it's easy to write inefficient queries as the number of records in your database grows.
Prior to adding Python performance monitoring , we'd written monitoring agents for Ruby and Elixir . Our Ruby and Elixir agents had duplicated much of their code between them, and we didn't want to add a third copy of the agent-plumbing code. The overlapping code included things like JSON payload ...
Browser development tools - like Chrome Dev Tools - are vital for debugging client-side performance issues. However, server-side performance metrics have been outside the browser's reach. That changes with the Server Timing API . Supported by Chrome 65+, Firefox 59+, and more browsers, the Server Timing API defines a spec ...
Observability: the degree to which you can ask new questions of your system without having to ship new code or gather new data. Above is my slightly modified definition of observability, mostly stolen from Charity Majors in Observability: A Manifesto . Observability is increasingly important . Modern apps and services ...