High Scalability

SEPTEMBER 3, 2019

Redis , short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Depending on how it is configured, Redis can act like a database, a cache or a message broker. Data Structures in Redis.

Open Source 55

Open Source Cache C++ Database 55

The Netflix TechBlog

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 260

Latency Storage Cache Efficiency 260

Scalegrid

AUGUST 30, 2019

Redis , short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Depending on how it is configured, Redis can act like a database, a cache or a message broker. Data Structures in Redis.

Cache 232

Cache Ecommerce Social Media Database 232

Scalegrid

AUGUST 16, 2021

Data-driven applications span a wide breadth of complexity, from simple microservices to real-time event-driven systems under significant load. However, as any development and/or DevOps team tasked with performance improvements will attest, making data-driven apps fast globally is “non-trivial”. Guest post by Ben Hagan from PolyScale.ai

Cache 279

Cache DevOps Architecture Systems 279

DZone

FEBRUARY 15, 2022

Fetching data from the server and maintaining it is a very crucial issue in frontend development. To manage the server state in the frontend and sync with the backend, we need to update, cache, or re-fetch the data efficiently. In this article, on behalf of Apiumhub, we will focus on the React.js Into React-Query.

Cache 130

Cache Servers Efficiency Performance 130

The Netflix TechBlog

MARCH 7, 2023

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. Similarly, client teams don’t have to worry about when or how the data is written. in a video file.

Media 272

Media Latency Architecture Database 272

DZone

FEBRUARY 27, 2024

Caching is a critical technique for optimizing application performance by temporarily storing frequently accessed data, allowing for faster retrieval during subsequent requests. Multi-layered caching involves using multiple levels of cache to store and retrieve data.

Cache 173

Cache Efficiency Architecture Design 173

The Netflix TechBlog

OCTOBER 8, 2024

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 239

Latency Storage Traffic Tuning 239

Percona

APRIL 14, 2023

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? MySQL does.

Cache 107

Cache Efficiency Database Monitoring 107

The Netflix TechBlog

NOVEMBER 9, 2022

We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line. Cache line is a concept similar to memory page?—?a Thread 0’s cache in this example.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

CSS Wizardry

MARCH 7, 2025

Learn how the Cache-Control request header works, how browsers handle refresh and hard refresh caching, and when developers should use it for realtime data and offline-first applications.

Cache 151

Cache Development 151

DZone

MAY 1, 2023

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

Cache Strategy Latency Operating System 147

DZone

SEPTEMBER 3, 2024

However, the increasing sizes of both data volumes and distributed system clusters raise significant cost challenges for all-flash storage and vast operational challenges for kernel clients. It improves I/O throughput substantially through the distributed cache and uses cost-effective object storage for data storage.

Cache 147

Cache Performance Storage Architecture 147

The Netflix TechBlog

DECEMBER 19, 2024

Frequently, practitioners want to experiment with variants of these flows, testing new data, new parameterizations, or new algorithms, while keeping the overall structure of the flow or flowsintact. This has been a guiding design principle with Metaflow since its inception.

Best Practices 204

Best Practices Cache Metrics Code 204

DZone

JULY 23, 2020

There are two effective methods to improve the load time — data caching and using a content delivery network (CDN). Our article aims to compare them in terms of speed of data load. When we talk about the speed of a website, most often we mean the speed of its content loading.

Cache 147

Cache Speed Website Network 147

DZone

MARCH 21, 2024

NCache Java Edition with distributed cache technique is a powerful tool that helps Java applications run faster, handle more users, and be more reliable. It's a key piece of technology for both developers and businesses who want to make sure their apps can give users fast access to data and a smooth experience.

Java 319

Java Cache Technology Technology 319

KeyCDN

NOVEMBER 19, 2020

In October 2015 KeyCDN released a free WordPress caching plugin called Cache Enabler. We did this because we wanted to give back to the WordPress community in the offering of a caching solution that was not complicated and most importantly, free. Over the last few months there have been many changes made to Cache Enabler.

Cache 116

Cache Network Open Source Speed 116

The Netflix TechBlog

MARCH 28, 2025

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. Key insights from this shiftinclude: A Data-Centric Approach : Shifting focus from model-centric strategies, which heavily rely on feature engineering, to a data-centric one.

Tuning 165

Tuning Efficiency Latency Strategy 165

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 221

Database Traffic Transportation Open Source 221

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 358

Open Source Java Operating System Programming 358

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 206

Database Traffic Transportation Open Source 206

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 276

Cache Azure Infrastructure Monitoring 276

DZone

OCTOBER 9, 2023

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.

Efficiency 162

Efficiency Cache Network Database 162

DZone

MARCH 16, 2020

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data. The migration will enable the application to quickly lookup in the map and vet the physician rather than querying the database table for vetting.

Cache 147

Cache Java Performance Database 147

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 141

Cache Performance Servers Architecture 141

The Netflix TechBlog

JUNE 14, 2023

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. In such cases, we were not testing for response data but overall behavior.

Traffic 357

Traffic Latency Metrics Cache 357

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

Scalegrid

NOVEMBER 26, 2020

It has high throughput and runs from memory, but also has the ability to persist data on disk. Redis is a great caching solution for highly demanding applications, and there are […]. In fact, it is the number one key value store and eighth most popular database in the world.

Cache 130

Cache Azure Benchmarking Performance 130

CSS Wizardry

SEPTEMBER 16, 2024

Last week, I posted a short update on LinkedIn about CrUX’s new RTT data. Chrome have recently begun adding Round-Trip-Time (RTT) data to the Chrome User Experience Report (CrUX). Where Does CrUX’s RTT Data Come From? RTT data should be seen as an insight and not a metric. RTT isn’t a you-thing, it’s a them-thing.

Latency 244

Latency Cache Transportation Mobile 244

Percona

JUNE 12, 2024

Keeping Your Data Safe: An Introduction to Data-at-Rest Encryption in Percona XtraDB Cluster. In the first part of this blog post, we learned how to enable GCache and Record-Set cache encryption in Percona XtraDB Cluster. This part will explore the details of the implementation to understand what happens behind the scenes.

Cache 114

Cache Software Software 114

Smashing Magazine

MAY 9, 2022

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

Cache 106

Cache Games Performance Website 106

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Suppose a user has only downloaded part of the cache.

Cache 89

Cache Government Traffic Network 89

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 297

Storage Cache Metrics Database 297

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 185

Infrastructure Cloud Scalability AWS 185

John McCalpin

FEBRUARY 17, 2025

In my previous post , I reviewed historical data on single-core/single-thread memory bandwidth in multicore processors from Intel and AMD from 2010 to the present. “Concurrency” is the amount of data that must be “in flight” between the core and the memory in order to maintain a steady-state system. .

Latency 71

Latency Hardware Cache Systems 71