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An approach to index tuning – Part 2

SQL Performance

In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. This is where index tuning becomes an art. Step 6: Testing. Once we have that data, we can move on to the next steps in the process.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. To launch Phase 1 safely, we used AB Testing.

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Dynatrace SaaS release notes version 1.241

Dynatrace

To stay tuned, keep an eye on our release notes. The title size of a tile has been moved from the dashboard definition to the dashboard metadata definition and included in the advanced settings UI for dashboards. Fixed an issue with “500 Internal Server Error” response of Anomaly detection – Disk events API.

Tuning 181
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

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Monitor your OAuth 2.0 protected APIs with Dynatrace Synthetic

Dynatrace

As microservices and automation continue to drive API usage, most organizations have either already introduced, or plan to introduce, an API testing process. With Dynatrace Synthetic you can easily create API tests with synthetic monitors. Now we’re making it easier for you to test APIs that are secured by OAuth 2.0!

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Applying Netflix DevOps Patterns to Windows

The Netflix TechBlog

Artisan Crafted Images In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. The configuration file, referenced scripts, and artifact dependency definitions all live in an internal git repository.

DevOps 207
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Impact of Querying Table Information From information_schema

Percona

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. The same tests have been executed in Percona Server for MySQL 5.7 Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

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