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

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

Official Blog - World Web Technology

MARCH 4, 2024

WordPress VIP is a comprehensive WordPress development service for organizations requiring top-notch performance and a scalable and secure website platform. Performance scalability: Using WordPress VIP, users can handle significant traffic and sudden visitor spikes. Key Features of WordPress VIP! WordPress VIP boosts customization.

Website 59

Website Development Education Traffic 59

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

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. 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.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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

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

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

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

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

Percona

JUNE 4, 2023

Critical features of MariaDB include robust security features like encryption at rest and in transit, user authentication, and role-based access control (RBAC), as well as high-performance query execution, advanced indexing techniques, and replication, clustering, and sharding, ensuring scalability and high availability. What is MySQL?

Open Source 52

Open Source Servers Storage Scalability 52

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. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 167

Database Lambda AWS IoT 167

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

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

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.

Performance 104

Performance Cache Network Metrics 104

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. Using JAMstack delivers better performance, higher scalability with less cost, and overall a better developer experience as well as user experience.

Systems 63

Systems Cache Website Network 63

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