I’ve received incredible feedback on my last week’s blog post Amazon API Gateway with Lambda is the Next Generation of Web Frameworks. As Adrian Mace suggested, there is a new Infrastructure as Code (IaC) tool from Amazon, called AWS CDK (Cloud Development Kit). I missed this awesome tool. To quote Adrian: “CDK allows you to define your infrastructure using imperative languages like TypeScript, Python, or Golang with the full powers that those languages can provide, and then ‘compiles down’ into Cloudformation templates upon deploy/synth.
Posts with the tag aws:
A short history of web frameworks What is a web framework? A web framework is a set of tools for the rapid development of server-side applications that provides a boilerplate to simplify the implementation of common tasks. According to MDN, those tasks are routing URLs to appropriate handlers, interacting with databases, supporting sessions and user authorization, formatting output (e.g. HTML, JSON, XML), and improving security against web attacks. The most popular web frameworks are Ruby on Rails, Django, Flask, FastAPI, Express, Laravel.
Highlights Pinterest: Shallow Mirror Kafka MirrorMaker is a tool to replicate Kafka clusters across different regions. Data from different Source Brokers is transferred to MirrorMaker which then sends this data to Destination Brokers in other regions. Pinterest started experiencing scalability issues at some point. Monitoring showed some CPU and memory spikes. During the investigation, it became apparent that most of the CPU time was spent on message decompression and recompression. Memory consumption was often 2-10 times bigger than the actual data being sent.
Highlights GitHub: How we scaled the API with a sharded, replicated rate limiter in Redis GitHub API has a limit on API calls per key. Such keys were stored in Memcached along with their reset_at value and number of calls. Memcached was also used for application caching purposes. Such a solution works well but harder to scale. It was decided to have one Memcached per datacenter, in which case clients can face some issues if requests hit different datacenters.