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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. Engineering decisions involve making lots of trade-offs.

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

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. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). Success with containers.

Database 134
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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. ” – Bob Dorr, Principle Engineer SQL Server Support. Follow-up.

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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. Test Automation is a software testing method that uses automatic methods to carry out a test case collection. Fast Feedback.

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. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes. Bigger picture.

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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.