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 Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Official Blog - World Web Technology

MARCH 4, 2024

It controls content delivery networks (CDNs), advanced caching, and other optimization procedures. Organizations can ensure that their website runs reliably and efficiently using various features such as backups, performance optimization, and automatic updates. It also ensures optimal performance even during high traffic.

Website 59

Website Development Education Traffic 59

KeyCDN

DECEMBER 8, 2022

Many factors affect the speed of your WordPress website; some of them are: Your web host Server-side optimizations (PHP version, compression, caching, etc.) Configure cache to optimize your website Caching is a complex technology with many layers. Traditionally, most WordPress hosts manage the caching.

Cache 52

Cache Website Speed Website Performance 52

ScaleOut Software

NOVEMBER 24, 2020

Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance. Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

NOVEMBER 2, 2021

Cost-Efficient And Effort-Saving Development. Due to the use of modern frameworks, advanced caching and rendering, and data transmission via API, properly developed PWAs can be a seven-league step up to boost the store’s speed. One of the most efficient ways to approach service workers is by opting for a Razzle JS plugin.

Code 74

Code Cache Retail Mobile 74

Smashing Magazine

JANUARY 15, 2019

It seems to have become more-or-less ubiquitous on the web for everyone to analyze what their website’s visitors do via tools like Google Analytics, KISSmetrics, Piwik, etc. While I have no doubt that there are legitimate use cases, do we really need analytics on every website? Let’s Not Forget The Basics.

Website Performance 73

Website Performance Website Energy Performance 73

Percona

JUNE 4, 2023

Via various optimization techniques, such as advanced query optimization, efficient indexing, and fast data processing, MariaDB can deliver excellent performance even when running heavy workloads. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets. In-development for MySQL 8.0 (now

Open Source 52

Open Source Servers Storage Scalability 52

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Cache all the things. Cache all the things. VLDB’19. are divided. Making Procella fast.

Analytics 75

Analytics Latency Cache Google 75

Highly Scalable

AUGUST 20, 2013

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Efficient lineage tracking is not a trivial problem. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

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. Support diverse analytics workloads. What is a data lakehouse? Reduced redundancy.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

The Netflix TechBlog

MARCH 10, 2023

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache.

Strategy 258

Strategy Cache Analytics Storage 258

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Smashing Magazine

AUGUST 3, 2023

This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

Smashing Magazine

NOVEMBER 22, 2021

This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. In order to create change across our entire organization, we needed to get all the relevant employees, partners, and even customers up to speed about performance quickly and efficiently. Creating A Performance Culture.

Website 126

Website Performance Google Media 126

Speed Curve

FEBRUARY 25, 2024

Guest profiles also start with empty caches, empty cookie stores, empty browser storage, etc. Within the longest event handler, the first group of processing creates an analytics event to record the visitor opening the menu. These event handlers execute before the one for the menu, so creating the Input Delay for the menu interaction.

Analytics 92

Analytics Processing Google Mobile 92

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Smashing Magazine

SEPTEMBER 24, 2021

To mitigate the performance issues, we had to add a lot of (unbudgeted) extra servers and had to aggressively cache pages on a reverse proxy. Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. project in a flexible and efficient way ,” Vadorequest, Dev.to.

Website 113

Website Code Servers Analytics 113

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. They route traffic from the CDN to the origin tier, ensuring that user requests are efficiently directed to the best source. That’s where rules come in.

Traffic 52

Traffic Cache Servers Latency 52

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. ElastiCache for Redis Multi-AZ capability is built to handle any failover case for Redis Cluster with robustness and efficiency.

Scalability 130

Scalability Analytics Cache AWS 130

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Just like how a traffic cop ensures cars flow smoothly at an intersection, a Load Balancer makes sure data moves efficiently across the network. That’s where rules come in.

Traffic 40

Traffic Cache Network Servers 40

Smashing Magazine

JULY 29, 2019

MB , that suggests I’ve got around 29 pages in my budget, although probably a few more than that if I’m able to stay on the same sites and leverage browser caching. There’s a trade-off to be made here, as external stylesheets can be cached but inline ones cannot (unless you get clever with JavaScript ). Let’s talk about caching.

Cache 96

Cache Google Mobile Network 96

MachMetrics

MARCH 21, 2019

Web performance metrics track the efficiency (or lack thereof) of any individual aspect of your website’s performance. A cache server is another effective tool for reducing your website’s resource download times. Examples include website tracking analytics, remarketing pixels, social widgets, and ads/advertisements.

Metrics 74

Metrics Social Media Performance Speed 74

All Things Distributed

JUNE 21, 2018

Tinder is one example of a customer that is using the flexible schema model of DynamoDB to achieve developer efficiency. Amazon Elasticsearch Service (Amazon ES) is purpose built for providing near real-time visualizations and analytics of machine-generated data by indexing, aggregating, and searching semi structured logs and metrics.

Database 167

Database AWS Games Latency 167

CSS - Tricks

MARCH 29, 2021

It may not be critical data to know, but sometimes it helps to understand the caching strategy. DevTools might not be considered a classical auditing tool, but it helps us understand which CSS features are used, the efficiency of the code, and how it performs?—?all Rendering panel. The R endering panel is another useful tool.

Code 110

Code Media Cache Energy 110

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. for machine generated emails sent to humans). What’s their secret???

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. This new feature will help them manage inventory better to deliver a good customer experience while gaining more business efficiency.

Database 167

Database Lambda AWS IoT 167

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. GraphQL - created and open sourced by Facebook - is a powerful query language for APIs and a more efficient alternative to REST. A headless CMS using GraphQL.

Systems 63

Systems Cache Website Network 63

Smashing Magazine

FEBRUARY 3, 2022

Third-party Javascript accounts for a lot of bloat on websites, with analytics, chatbots, and embedded widgets being common contributors. These numbers are based on first-page load — caching seems very efficient for subsequent page loads. For this article, we’re going to take a deeper dive into one particular area.

Social Media 101

Social Media Media Website Airlines 101

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

SEPTEMBER 12, 2019

j:9] (COL, ACT) AS SELECT WI.COL, softmax(WI.VAL + B.VEC) FROM WI[i][j] AS WI, B[i][j] AS B WHERE WI.COL = B.COL; The backward pass can be expressed similarly: Execution planning for efficiency. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44