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The Challenges of Ajax CDN

DZone

For the longest time, hosting static files on CDNs was the de facto standard for performance tuning website pages. The host offered browser caching advantages, better stability, and storage on fast edge servers across strategic geolocations. Not only did it have performance benefits, but it was also convenient for developers.

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PostgreSQL Connection Pooling: Part 3 – Pgpool-II

Scalegrid

While its use and importance has decreased as the inbuilt replication options improved on PostgreSQL server side, this still remains a valuable option for older versions of PostgreSQL. Follow these steps to set up Pgpool-II, enable the connection pool services you need, and connect to your PostgreSQL server. At a glance. How it works.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

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. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

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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. His version can be used for the plan cache – the only challenge there is the information is transient, so you may not capture every query that uses a particular index.

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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

In this example configuration, the ngsegment namespace is backed by both a Cassandra cluster and an EVCache caching layer, allowing for highly durable persistent storage and lower-latency point reads. "persistence_configuration":[ Developers just provide their data problem rather than a database solution!

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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 technique facilitates validation on multiple fronts.

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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached. Rollup Cache To optimize read performance, these values are cached in EVCache for each counter. With this approach, the counts continually converge to their latest value.

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