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. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 21, 2023

Level 2: Hosts and containers You might run thousands of hosts and containers, many of which have been sized by prioritizing performance over energy consumption. Implement appropriate caching layers (for example, read-only cache for static data). And data-observability solutions focus on performance, not carbon emissions.

Cloud 198

Cloud Energy Best Practices Cache 198

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. VLDB’19. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

AUGUST 3, 2023

How We Optimized Performance To Serve A Global Audience How We Optimized Performance To Serve A Global Audience Liran Cohen 2023-08-03T10:00:00+00:00 2023-08-03T13:06:00+00:00 I work for Bookaway , a digital travel brand. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings.

Performance 75

Performance Cache Traffic Metrics 75

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 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. Vitaly Friedman. Table Of Contents.

Performance 145

Performance Cache Media Metrics 145

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 96

Monitoring Scalability Cache Database 96

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Here Redis and Yugabyte have higher latencies, Yugabyte performs bad for both Insert and Read for the test. Workload C: Read only.

Benchmarking 308

Benchmarking Latency C++ Database 308

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!

Website 59

Website Development Education Traffic 59

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. Cached vs Scaled Workloads. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

NOVEMBER 3, 2021

Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Smashing Magazine

JANUARY 6, 2020

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 145

Performance Cache Network Metrics 145

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Learn more today.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

ScaleOut Software

MAY 15, 2014

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. Testing Scale-Up Performance. So our comments will be confined to what testing we felt was valuable and how well SOSS performed.

Cache 40

Cache Servers Network Design 40

Dynatrace

NOVEMBER 5, 2019

Application Insights – Collects performance metrics of the application code. Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Organic scalability of the monitoring platform with the applications.

Azure 134

Azure Artificial Intelligence Metrics Innovation 134

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging. Redis Known for exceptional performance, Redis is a popular in-memory data platform. MongoDB Enterprise is commercial.

Open Source 75

Open Source Database Scalability Software 75

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Smashing Magazine

JANUARY 7, 2019

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 104

Performance Cache Metrics Network 104

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. REDIS for caching. For more details on how to use Dynatrace for Web Performance Optimization , solving JavaScript errors or mobile crashes check out my YouTube Tutorials on these topics. #2: 3 Log Analytics. 3 Log Analytics. Full-stack observability. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

IO River

NOVEMBER 2, 2023

‍Just as a well-coordinated airport directs flights to multiple runways based on traffic and weather conditions, a CDN with Multiple Origins Load Balancing ensures that web traffic is distributed across various data centers, optimizing performance and reliability. What is a CDN Multiple Origins Load Balancer?‍ The solution?

Traffic 52

Traffic Cache Servers Latency 52

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier.

Cloud 117

Cloud Cache AWS Storage 117

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. This method augments the performance benefits of using a CDN while also ensuring redundancy and resilience and reducing costs.To

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

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

IO River

NOVEMBER 2, 2023

Just as a well-coordinated airport directs flights to multiple runways based on traffic and weather conditions, a CDN with Multiple Origins Load Balancing ensures that web traffic is distributed across various data centers, optimizing performance and reliability. What is a CDN Multiple Origins Load Balancer?‍

Traffic 40

Traffic Cache Network Servers 40

Rigor

SEPTEMBER 17, 2019

Reading time 8 min Rigor’s “The Best in Performance” interview series offers the chance to listen in on conversations with web performance industry experts, thought leaders, and technologists as they discuss current trends, challenges, and lessons that impact the performance and APM space today. Retrospectives.

Performance 68

Performance Traffic Website Performance Testing 68

CSS - Tricks

MAY 3, 2021

It is the premier tool in the toolbox of web performance people. Here’s the real news though: there’s a full-on scalable API now. I’m willing to bet you know WebPageTest. It’s just now it’s not a side project anymore, it’s got the support of a company dead-focused on helping developers.

Transportation 86

Transportation Cache Google Mobile 86

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. This method augments the performance benefits of using a CDN while also ensuring redundancy and resilience and reducing costs.To

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Rigor

SEPTEMBER 3, 2019

There are many tools available that can help you monitor, manage, and optimize your website and application performance: APM, synthetics, RUM, alerting, alert integrations, and more. How are you monitoring end-user performance today? Rigor’s free performance report. Next, look into the tools you are already using.

Website 74

Website Cache Ecommerce Traffic 74

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. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52

The Morning Paper

SEPTEMBER 19, 2019

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. The authors claim a two orders-of-magnitude performance improvement. speedup over the best performing existing method. Do we want that?

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. There are two main types of DNS servers: authoritative servers and caching resolvers. All Things Distributed.

Cloud 117

Cloud Internet Internet AWS 117

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. I am yet to find a traditional CMS vendor who can deliver this level of performance on the scale (millions of page views per day).

Systems 63

Systems Cache Website Network 63

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

Highly Scalable

AUGUST 20, 2013

High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases.

Big Data 154

Big Data Processing Lambda Database 154

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. Building upon Redis. Amazon’s enhancements address many day-to-day challenges with running Redis.

Scalability 130

Scalability Analytics Cache AWS 130