High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Ecommerce 52

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 271

AWS Efficiency Azure Cloud 271

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 108

Performance Monitoring Traffic Database 108

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

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. It also serves as central configuration of access patterns such as consistency or latency targets.

Latency 252

Latency Storage Cache Efficiency 252

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

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. They allow you to cache resources on the user's device when they visit your site for the first time. CPU Utilization and Power Consumption (Source: Blackburn 2008).

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. They allow you to cache resources on the user's device when they visit your site for the first time. CPU Utilization and Power Consumption (Source: Blackburn 2008).

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. They allow you to cache resources on the user's device when they visit your site for the first time. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40

Energy Cache Traffic Website 40

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 240

Latency Storage Traffic Tuning 240

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 Architecture Scalability 130

All Things Distributed

DECEMBER 5, 2010

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. No Server Required - Jekyll & Amazon S3.

Cloud 116

Cloud Internet Internet AWS 116

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

Scalegrid

MAY 11, 2024

WiredTiger is a good all-purpose engine while In-Memory is better for specific use cases such as real-time analytics. In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. It uses a filesystem cache and write-ahead log for crash recovery.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 231

Artificial Intelligence Storage Analytics Government 231

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Smashing Magazine

AUGUST 3, 2023

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. We can then forward this data to a custom analytics service. One of the key Next.js These edge servers are distributed in data centers across the globe.

Performance 75

Performance Cache Traffic Metrics 75

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 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.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

OCTOBER 31, 2023

This data is distinct from CrUX because it’s collected directly by the website owner by installing an analytics snippet on their website. INP is a measure of the latency for all interactions on a given page, where the highest latency — or close to it — informs the final score. It’s right there in the name!

Speed 99

Speed Google Website Metrics 99

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 123

Scalability Cache Analytics AWS 123

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. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure. Please retry later.

Cache 40

Cache Servers Network Design 40

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. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Architecture Analytics 54

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

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. Couchbase Couchbase is a distributed document store with a powerful search engine and built-in operational and analytical capabilities.

Open Source 80

Open Source Database Scalability Software 80

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 244

Monitoring Metrics DevOps Scalability 244

All Things Distributed

NOVEMBER 21, 2017

Redis's microsecond latency has made it a de facto choice for caching. Its support for advanced data structures (for example, lists, sets, and sorted sets) also enables a variety of in-memory use cases such as leaderboards, in-memory analytics, messaging, and more. TB of in-memory capacity in a single cluster.

Games 108

Games Retail Latency Education 108

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

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

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. This system also had significantly lower memory latency than many contemporary systems (which were still using front-side bus architectures and separate “NorthBridge” chips).

Benchmarking 59

Benchmarking Performance Latency Architecture 59

IO River

NOVEMBER 2, 2023

‍A CDN, or Content Delivery Network, is a network of servers strategically positioned across various locations to expedite content delivery to users based on their geographic location.These patterns split into two main forms of traffic:Static Traffic: When a user request targets static content, the CDN first checks its cache.

Traffic 52

Traffic Cache Servers Network 52

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. It can be hosted on a CDN like Vercel or Netlify, which results in lower latency. Vercel also offers an Analytics feature , which measures the core Web Vitals of your production deployment.

Website 115

Website Code Servers Analytics 115

n0derunner

SEPTEMBER 17, 2018

A particular problem occurs when a reporting / analytical workload shares storage with a transactional workload. In such a case we have a Bandwidth heavy workload profile (reporting) sharing with a Latency Sensitive workload (transactional). The key thing to observe is the impact on the latency sensitive (OLTP) workload.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

IO River

NOVEMBER 2, 2023

A CDN, or Content Delivery Network, is a network of servers strategically positioned across various locations to expedite content delivery to users based on their geographic location.These patterns split into two main forms of traffic:Static Traffic: When a user request targets static content, the CDN first checks its cache.

Traffic 40

Traffic Cache Servers Network 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. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

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. Secondly, having a CDN in front of origin (static site or APIs) reduces the global and regional latency. Eventually, we decided to move them to Jekyll.

Systems 63

Systems Cache Website Network 63