Remove messaging-single-source-truth
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Data ingestion pipeline with Operation Management

Netflix Tech

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. The solution which we present in this blog is not limited to annotations and can be used for any other domain which uses ES and Cassandra as well.

Data 105
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Consistent caching mechanism in Titus Gateway

Netflix Tech

This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a With traffic growth, a single leader node handling all request volume started becoming overloaded.

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Diary of an Engineer: Improved Citus metadata sync for Postgres in 11.3

The Citus Data

The default mode for metadata sync is still the original single transaction mode that we introduced in Citus 11.0. This blog post will cover the fundamentals of Citus metadata synchronization, explore some of the memory problems related to it, and finally explain how we solved the problems in Citus 11.3: But now in 11.3

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

The truth is, there’s more to this term than just the size of information generated. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. A single HD movie on Netflix takes up over 4 gigabytes while you are watching.

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17 Ways to Mess Up Self-Managed Schema Registry

Confluent

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. Actually, we recommend that you consider another alternative to self-managing Schema Registry, and the next blog post in this series reveals what that alternative is! Bad designs.

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Book Review: Designing Data-Intensive Applications

Henrik Warne

I really like the mix of references – some are to computer science papers from the 1970s and onwards, and many are to various blog posts. Three different models are covered: single leader , multi-leader , and leaderless. This chapter covers transactions on a single machine. Foundations of Data Systems. Transactions.

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Using Parcers in Practice

Xebia

This blog post outlines our journey and the lessons we’ve learned in the process. Whereas our goal was to have a single source of truth – the ANTLR file – we now have two description of the same language, using different technologies. Developing your own language means writing a parser as a first step. Do we all agree?

Testing 130