• Daily Digest #499

  Feb 7, 2020 • daily, development

  • Embracing Chaos!
  • The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow
  • Architecting Restaurant Wait Time Predictions
  • Evolution of Edge @Netflix
  • Evaluating BBRv2 on the Dropbox Edge Network

• Daily Digest #498

  Feb 6, 2020 • daily, development

  • How CloudSponge Protects Trillions Of Email Addresses From Hackers And Scammers Every Year
  • Instagram Data Saver Mode
  • Scaling Patterns for Netflix’s Edge
  • Presenting UX Ideas to Designers in Their Language
  • User & Device Identity for Microservices @ Netflix Scale
  • Deep Dive Into the New Docker Desktop filesharing Implementation Using FUSE

• Daily Digest #497

  Feb 5, 2020 • daily, development

  • How to build performant web applications for slow networks
  • How We Built OverOps for Enterprise-Scale Environments
  • DBLog: A Generic Change-Data-Capture Framework
  • Making hundreds of developers more efficient by creating a Frontend Platform team
  • Semantic Versioning Sucks! Long Live Semantic Versioning

• Daily Digest #496

  Feb 4, 2020 • daily, development

  • Streaming Cassandra into Kafka in (Near) Real-Time: Part 1
  • Android Game SDK
  • How Scylla Scaled to One Billion Rows a Second
  • BKD-backed geo_shapes in Elasticsearch: precision + efficiency + speed
  • How we used our new GraphQL Analytics API to build Firewall Analytics
  • Monoliths, Microservices, Events, Functions: What It Takes to Go through the Transformation

• Daily Digest #495

  Feb 3, 2020 • daily, development

  • Dynein: Building an Open-source Distributed Delayed Job Queueing System
  • Eliminating toil with fully automated load testing
  • EKS + Fargate = Extensibility of Kubernetes + Serverless Benefits
  • Unthrottled: Fixing CPU Limits in the Cloud
  • Fully Reactive: Spring, Kotlin, and JavaFX Playing Together
  • How RapidAPI Uses GraphQL Internally

• Daily Digest #494

  Jan 31, 2020 • daily, development

  • Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack
  • Parsing 18 billion JSON lines with Go
  • Struggling To Get A Handle On Traffic Surges
  • Continuous integration and deployment with Bazel
  • Announcing omnibot: a Slack proxy and Slack bot framework