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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. We started seeing increased response latencies and leader servers running at dangerously high utilization. of the data.

Cache 233
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Cache Grab: How Much Are You Leaving on the Table?

CSS Wizardry

For the longest time now, I have been obsessed with caching. I think every developer of any discipline would agree that caching is important, but I do tend to find that, particularly with web developers, gaps in knowledge leave a lot of opportunities for optimisation on the table. Want to know everything (and more) about HTTP cache?

Cache 237
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

Traffic 357
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Additionally, the tight coupling with multiple native database APIs — APIs that continually evolve and sometimes introduce backward-incompatible changes — resulted in org-wide engineering efforts to maintain and optimize our microservice’s data access. Either or both may be required by backing storage engines to de-duplicate mutations.

Latency 260
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Kubernetes in the wild report 2023

Dynatrace

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, 65% of all application workloads run in a JVM, including related application servers like Tomcat or Spring.

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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130
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Designing Instagram

High Scalability

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. When the server receives a request for an action (post, like etc.) We will use a cache having an LRU based eviction policy for caching user feeds of active users. This is a guest post by Ankit Sirmorya.

Design 334