Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 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

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. They also can perform analysis quickly and efficiently — where the data lives. In-Memory Data Grids for Fast-Changing Data. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. They also can perform analysis quickly and efficiently — where the data lives. In-Memory Data Grids for Fast-Changing Data. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

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

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 237

Cloud Media Storage Cache 237

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. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 201

Artificial Intelligence Analytics Storage Government 201

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. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Given its unchanging nature, static content is ideal for caching.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. It’s limited by the laws of physics in terms of end-to-end latency. In Helios, this translates to coming up with efficient techniques for splitting computation between end devices, edge, and cloud.

Cloud 104

Cloud Big Data Latency Architecture 104

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. Oh, you mean a cache?

Cache 79

Cache Latency Google Lambda 79

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. The key factor is that the whole data structure resides in the same location (node), facilitating the operations.

Traffic 127

Traffic Scalability Database Servers 127

ACM Sigarch

DECEMBER 6, 2018

Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. 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.

Wireless 54

Wireless IoT Analytics Architecture 54

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. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Please retry later.

Cache 40

Cache Servers Network Design 40

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. FAST’20.

Scalability 59

Scalability Latency Cache Media 59

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache.

Best Practices 52

Best Practices Design Tuning Database 52

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

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

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

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. Data Placement.

Database 213

Database Latency C++ Scalability 213

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s read latency, particularly as dataset sizes grow. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience.

Media 145

Media Games Education Engineering 145

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. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Dotcom-Montior

MARCH 6, 2022

Moreover, caching utility may decrease the waiting time. Empty Cache (First View): The user access the website for the first time and has no cached data. Typical browser-based tools are going to clear the cache before making the requests. One of the important things to realize is that the empty cache takes 6.8

Performance 52

Performance Cache Website Speed 52

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Dotcom-Montior

MAY 6, 2020

Moreover, caching utility may decrease the waiting time. Empty Cache (First View): The user access the website for the first time and has no cached data. Typical browser-based tools are going to clear the cache before making the requests. One of the important things to realize is that the empty cache takes 6.8

Performance 53

Performance Cache Website Speed 53

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 214

Media Storage Processing Cache 214

Alex Russell

OCTOBER 22, 2017

Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss).

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. In exchange, your team gains maintainability and developer efficiency, of course. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand.

Performance 104

Performance Cache Metrics Network 104