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What Adrian Did Next?—?Part 3?—?eBay?—?2004 to 2007

Adrian Cockcroft

What Adrian Did Next — Part 3 — eBay — 2004 to 2007 I’d left Sun (part 2 in this series) , and had a few months off over the summer, so (of course) got married to @laurelco, bought a “fixer upper” house in the Los Gatos mountains, and worked on getting it tidied up.

Google 52
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OneAgent release notes version 1.241

Dynatrace

Added deeper insight into IBM DB2 database calls by fetching the full SQL statements from the DB2 catalog. Windows: Windows Desktop 10 2004. Windows: Windows Server 2004. Added AWS Lambda Functions tracing for.NET. Added GCP Functions tracing for Node.js. Added automatic tracing support for JMS messaging on z/OS Java.

Java 154
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Powering the Web: Two Decades of Open Source Publishing With WordPress and MySQL

Percona

WordPress also benefited from and popularized MySQL, introducing the LAMP stack – and open source – to an audience that might never have touched a database before or had any intro to open source. MySQL was the database for phpWebLog, for example, way back in 2000. MySQL was founded in 1995 and went open source in 2000.

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Back-to-Basics Weekend Reading - Epidemics - All Things Distributed

All Things Distributed

My paper to read this weekend was the Alan Demers seminal paper on epidemic techniques for database replication. I realized that in 2004, before my Amazon days, I already wrote a blog post about the fundamental publications in the area of epidemics, so this seems like a good moment to revisit that with updated links, etc. of Database.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

We had specializations in hardware, operating systems, databases, graphics, etc. Jim Mauro and Allan Packer visited on rotation from New Jersey, and Adelaide Australia, and worked out how to produce a database sizing guide for Oracle Financials, which I wrote up and published. Jim also joined the database performance team.

Tuning 52
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The Pros and Cons of Wildcard Indexes on MongoDB

Percona

​​MongoDB is a schemaless database that is extremely flexible. MongoDB does not require any ALTER statement to modify the schema of a collection, like in a relational database. When you create a collection, you don’t have to specify a structure in advance, providing field names and data types.

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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.