In today's article, we’ll cover performance from a different angle: The choices we made in our stack for AppSignal.
Extend default behavior of code with Traits and default implementations. In this case we add new functionality to generated Protobuf code.
My site contains a lot of images and resizing them for different devices (mobile phone, tabled, desktop etc.) takes a lot of time and (upload) bandwidth. This is especially annoying on Hotel Wi-Fi in a far-away country. With the help of AWS Lambda and Rust I made this into a smooth process.
Markdown is great, but not so much when you have dozens of images in a file and don't know what is what. This little app helps me sort through the images.
In this post, I'll explain why we got really excited last week using Custom Metrics and Anomaly Detection to monitor MongoDB in our own (AppSignal) infrastructure.
Moving (again) from Rails API + React to a static Middleman
A post about the statistics we use at AppSignal and how they work.
Share code with yourself or others by utilizing the RubyGems ecosystem.
Almost everything in Ruby is an object and errors are no exception.
Query batching is a way to speed up your application. Instead of waiting on multiple client-server roundtrips to load data, everything is loaded at once.
After cleaning my Sony RX100 Mk1, the "Turn camera off then on" appeared on my screen and I had to replace a certain ribbon cable to fix it.
Sometimes standard instrumentation isn't enough to track the root cause of a performance issue. Custom metrics help us track the missing pieces.
We recently upgraded our database driver from moped/mongoid4 tot mongo-ruby-driver/mongoid5 and these are a few things we encountered along the way.
How to keep your API, client tests and documentation in sync.
We've been using the combination of Mongodb, Mongoid (3.x.x) and Sidekiq for a while now and we noticed that lately our queue's were filling up, but we could not pin-point any bottlenecks in our system.
In AppSignal, we process a ton of data: between 60 to 100 million entries per day. We aggregate this data with only few seconds delay. Let's see how we did this.
Not so long ago we noticed that our MongoDB servers were running out of disk space at an alarming rate. Because we host our database on SSD enabled servers at DigitalOcean, scaling up could cost us a lot of money.
Recently we noticed that our database was doing a lot of queries while processing our queue. Lets see if we can fix that.
Siri tells you your upcoming tv shows for the night.
I thought it would be fun to control an RC car with an arduino.