Remove Cache Remove Data Remove Database
article thumbnail

Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.

Latency 248
article thumbnail

MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory?

Cache 95
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Front-End: Cache Strategies You Should Know

DZone

Caches are very useful software components that all engineers must know. It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. What Is a Cache?

Cache 147
article thumbnail

Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 236
article thumbnail

How Caches Become Databases – And Why You Don’t Want This

VoltDB

The law of entropy clearly applies as much to tech stacks and data management as it does to closets and desk drawers. The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data.

Cache 52
article thumbnail

Data ingestion pipeline with Operation Management

The Netflix TechBlog

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. There are many naive solutions possible for this problem for example: Write different runs in different databases. in a video file.

Media 269
article thumbnail

Bloom Filters: Efficient Data Filtering With Practical Applications

DZone

Bloom filters are probabilistic data structures that allow for efficient testing of an element's membership in a set. They effectively filter out unwanted items from extensive data sets while maintaining a small probability of false positives. Since their invention in 1970 by Burton H.