Remove Latency Remove Testing Remove Tuning
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

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

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

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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. To launch Phase 1 safely, we used AB Testing. To launch Phase 2 safely, we used Replay Testing and Sticky Canaries. We knew we could test the same query with the same inputs and consistently expect the same results.

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The following figure shows the high-level architecture where any load testing solution (e.g. SREcon21 – Automating Performance Tuning with Machine Learning. The Akamas approach. lower than 2%.).

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Comparing PostgreSQL DigitalOcean Performance & Pricing – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. PostgreSQL DigitalOcean Performance Test. Now, let’s take a look at the throughput and latency performance of our comparison. Next, we are going to test and compare the latency performance between ScaleGrid and DigitalOcean for PostgreSQL.

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Best Practice for Creating Indexes on your MySQL Tables

Scalegrid

The test utilized a MySQL dataset created using Sysbench which had 3 tables with 50 million rows each. MySQL Test Bed Configuration. 95th Percentile Latency. The 95th percentile latency of queries was also 1.8 Stay tuned for my follow-on blog post with more details! Performance Benefits of Rolling Index Creation.

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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination. It also serves as central configuration of access patterns such as consistency or latency targets. Useful for keeping “n-newest” or prefix path deletion.

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