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Millions of tiny databases

The Morning Paper

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. NSDI’20. This paper is a real joy to read.

Database 106
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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

The key insight this led to is that ML models are software , derived from data. ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Many of the software engineering discipline and controls need to be brought over into an ML context.

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Microservices Adoption in 2020

O'Reilly

Almost one-third (29%) of respondents say their employers are migrating or implementing a majority of their systems (over 50%) using microservices. Success with microservices means owning the software lifecycle. Most (74%) respondents say their teams own the build-test-deploy-maintain phases of the software lifecycle.

Database 134
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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. The Back Story.

Servers 90
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5 signs you need to implement test automation

Testsigma

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. This whole scenario will require an automation system to avoid all these hassles and use all the team’s valuable time. .

Testing 54
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Upcoming of the learned data structures

Abhishek Tiwari

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. This has far-reaching implications how future data systems and algorithms will be designed. Data structures are very foundational for the computer science and software engineering.

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SQL 2016 – It Just Runs Faster: DBCC Scales 7x Better

SQL Server According to Bob

The following chart shows the same 1TB database testing. Ryan Stonecipher – Principle SQL Server Software Engineer. Bob Dorr – Principal SQL Server Escalation Engineer. On the same hardware/machine repeat steps 1 thru 3 using an instance of SQL Server 2016 CTP 3.0 MultiObjectScanner = Older design.