Actix Web: Optimization Amongst Optimizations — brandur.org
Hello from a new decade! It’s already been a great reading day for retrospectives on the last ten years / predictions for the next. Here’s to hoping that everyone had a good break (or at least a few days off), set or didn’t set resolutions, and is refreshed and ready for what comes next. You’re reading the first 2020 edition of Nanoglyph, a fledgling newsletter on software, sent weekly. Theoretica
Reflections on Rust, and the sand castle metaphor — brandur.org
A month ago, I wrote about how I was frustrated with my progress in Rust. These days, I’m still no expert, but I’ve made progress. Programming languages get easier to learn the more of them you know. A lot of this is just pattern matching: syntax changes, but there’s a lot of overlap in features, and the similarities get more apparent. Some of my recent acquisitions have been very fast to learn –
Speed and Stability: Why Go is a Great Fit for Lambda
A few days ago in a move foreshadowed by a hint at Amazons’ re:Invent conference late last year, AWS released support for Go on its Lambda platform. Go users can now build programs with typed structs representing Lambda event sources and common responses in the aws-lambda-go SDK. These can then be compiled, bundled up into a “Lambda deployment package” (as simple as a ZIP file with a binary in it)
Scaling Postgres with Read Replicas & Using WAL to Counter Stale Reads — brandur.org
Scaling Postgres with Read Replicas & Using WAL to Counter Stale Reads A common technique when running applications powered by relational databases like Postgres, MySQL, and SQL Server is offloading read operations to readonly replicas 1, helping to distribute load between more nodes in the system by re-routing queries that don’t need to run on the primary. These databases are traditionally single
Implementing Stripe-like Idempotency Keys in Postgres — brandur.org
In APIs idempotency is a powerful concept. An idempotent endpoint is one that can be called any number of times while guaranteeing that the side effects will occur only once. In a messy world where clients and servers that may occasionally crash or have their connections drop partway through a request, it’s a huge help in making systems more robust to failure. Clients that are uncertain whether a
Using Atomic Transactions to Power an Idempotent API
The software industry as a whole contains a lot of people doing a lot of different things, but for every developer working on new embedded firmware, there’s about ten building the linchpin of modern software – CRUD apps that serve requests over HTTP. A lot of these apps are backed by MVC frameworks like Ruby on Rails or ASP.NET, and backed by ACID-compliant relational databases like Postgres or SQ
The Limits of Copy-on-write: How Ruby Allocates Memory
Anyone who’s run Unicorn (or Puma, or Einhorn) may have noticed a curious phenomena. Worker processes that have been forked from a master start with low memory usage, but before too long will bloat to a similar size as their parent. In a big production installation, each worker can be 100s of MBs or more, and before long memory is far and away the most constrained resource on servers. CPUs sit idl
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