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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations.

Traffic 339
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Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. VLDB’19. Creating training datasets for machine learning !

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Kubernetes in the wild report 2023

Dynatrace

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. This trend shows that organizations are dedicating significantly more Kubernetes clusters to running software build, test, and deployment pipelines. Kubernetes infrastructure models differ between cloud and on-premises.

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Scenarios when Data-Driven Testing is useful

Testsigma

In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing. Scenario 1: Tabular data . Scenario 2: Data Arrays.

Testing 70
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Why MySQL Could Be Slow With Large Tables

Percona

Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11 sec) db1 test> CREATE TABLE tb3 (id int auto_increment primary key, test_text tinytext); Query OK, 0 rows affected (0.13

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Fast Intersection of Sorted Lists Using SSE Instructions

Highly Scalable

In this article I describe several useful techniques that are based on SSE instructions and provide results of performance testing for Lucene, Java, and C implementations. In this example, we need 5 comparisons to process two lists of 12 elements each. However, it was interesting to evaluate performance of alternative approaches.

C++ 102
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What is behavior analytics?

Dynatrace

A/B testing allows organizations to compare two versions of a web or app experience and then determine which one performs better. Dynatrace enables organizations to understand user behavior with big data analytics based on gap-free data, eliminating the guesswork involved in understanding the user experience.

Analytics 223