ACM Sigarch

MARCH 18, 2019

Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Answered in Part 2.).

Systems 60

Systems Latency Performance Analytics 60

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 53

Systems Latency Performance C++ 53

Dean Hume

APRIL 24, 2018

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. 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. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. 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. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. 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. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

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., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” Cache all the things.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

AUGUST 3, 2023

You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. You need to beware of large HTML files or slow network connections because they can lead to longer download times. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

Smashing Magazine

OCTOBER 31, 2023

Type 2: Full Real-User Monitoring (RUM) If CrUX offers one flavor of real-user data, then we can consider “full real-user data” to be another flavor that provides even more in the way individual experiences, such as specific network requests made by the page. The accuracy of observed data depends on how the test environment is set up.

Speed 97

Speed Google Website Metrics 97

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. In the previous section, we noted that many distributed query processing algorithms resemble message passing networks. Pipelining. However, things are not so simple.

Big Data 154

Big Data Processing Lambda Database 154

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Last but not least, the ability to auto-generate optimal neural networks (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

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. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

IO River

NOVEMBER 2, 2023

Enter the concept of Content Delivery Networks (CDN) with Multiple Origins Load Balancing. These rules determine to which origin data center each request will be directed, based on customer-defined conditions, within the Content Delivery Network (CDN) infrastructure.‍For A Load Balancer operates based on a set of guidelines.

Traffic 52

Traffic Cache Servers Latency 52

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. Please retry later.

Cache 40

Cache Servers Network Design 40

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. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

IO River

NOVEMBER 2, 2023

Enter the concept of Content Delivery Networks (CDN) with Multiple Origins Load Balancing. Just like how a traffic cop ensures cars flow smoothly at an intersection, a Load Balancer makes sure data moves efficiently across the network. A longer TTL implies that DNS information remains cached for prolonged durations.

Traffic 40

Traffic Cache Network Servers 40

All Things Distributed

OCTOBER 12, 2016

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database.

Scalability 130

Scalability Analytics Cache AWS 130

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 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. Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. Eventually, we decided to move them to Jekyll.

Systems 63

Systems Cache Website Network 63

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

The Morning Paper

SEPTEMBER 12, 2019

A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM. The RDBMS was slower than TensorFlow for GPU-based implementations of neural networks, however.

Network 44

Network Database Programming Hardware 44

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

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. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. Vitaly Friedman. Large preview ).

Performance 145

Performance Cache Media Metrics 145

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. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g. While download times are critical for low-end networks, parse times are critical for phones with slow CPUs.

Performance 103

Performance Cache Metrics Network 103