Read issue #1 of Daily Digest, by Mailbrew Team.
27
Saturday July, 2024
Twitter's Recommendation Algorithm
Twitter aims to deliver you the best of what’s happening in the world right now. This blog is an introduction to how the algorithm selects Tweets for your timeline.
Twitter’s Blobstore Hardware Lifecycle Monitoring and Reporting Service
At Twitter, our on premise data centers contain hundreds of thousands of hardware servers and millions of server hardware components.
How we scaled Reads On the Twitter Users Database
At Twitter, our on premise data centers contain hundreds of thousands of hardware servers and millions of server hardware components.
Kerberizing Hadoop Clusters at Twitter
At Twitter, our on premise data centers contain hundreds of thousands of hardware servers and millions of server hardware components.
The data platform cluster operator service for Hadoop cluster management
As any team and its infrastructure grows, the risk of an unplanned service outage and potential data loss will grow.
Constraint Management for cluster operation safety and reliability at Twitter
As any team and its infrastructure grows, the risk of an unplanned service outage and potential data loss will grow.
How Twitter uses rasdaemon for hardware reliability
At Twitter, our on premise data centers contain hundreds of thousands of hardware servers and millions of server hardware components.
Measuring the impact of Twitter network latency with CausalImpact
In this blog, we share how we adopted the CausalImpact package from Google on a Twitter edge network experiment to measure the impact of improving Twitter's latency on customer engagement and revenue.
Stability and scalability for search
In this blog, we discuss how we power real-time search for Tweets, Users, Direct Messages and more using Elasticsearch.
Data Quality Automation at Twitter
In this post, we share how Twitter implemented a Data Quality Platform that gave customers the ability to have automated data quality checks.
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