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

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 107

Performance Monitoring Traffic Database 107

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times.

Tuning 52

Tuning Database Performance Hardware 52

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

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Query performance is measured from both warm and cold caches. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. When a new leader is elected it loads all data from external storage. The cache is kept in sync with the current leader process.

Cache 224

Cache Latency Traffic Systems 224

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. To address these challenges, ScaleOut Software has introduced ScaleOut StateServer Pro , an advanced version of ScaleOut StateServer that integrates data analytics within the IMDG.

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. To address these challenges, ScaleOut Software has introduced ScaleOut StateServer Pro , an advanced version of ScaleOut StateServer that integrates data analytics within the IMDG.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Coordinators that don’t want to pay contractors?

Blockchain 94

Blockchain Internet Internet IoT 94

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. My own journey into microservices began with work I was doing to help organizations ship software more quickly. All too often, the software wasn’t designed in a way that made it easy to ship. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

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

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. At werner.ly Syndication. or rss feed.

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. So you look at MongoDB Enterprise software, but its costly and complex licensing structure does not meet your budget goals.

Open Source 78

Open Source Database Scalability Software 78

IO River

NOVEMBER 2, 2023

Given its unchanging nature, static content is ideal for caching. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged.

Architecture 52

Architecture Performance Internet Internet 52

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. Mark LaPedus : MRAM, a next-generation memory type, is being touted as a replacement for embedded flash and cache applications. Investing tons of efforts into IT, building complicated deployment and clustering software etc. They are very expensive.

Internet 121

Internet Internet Scalability Automotive 121

IO River

NOVEMBER 2, 2023

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Developed by none other than Apple, HLS is vital in minimizing delays, known in the tech world as latency!When

Architecture 52

Architecture Performance Internet Internet 52

Percona

MAY 2, 2023

Also, we will take a look at our open-source backup utility custom-built to help avoid costs and proprietary software – Percona Backup for MongoDB or PBM. The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process.

Best Practices 52

Best Practices Database Storage Servers 52

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. DynamoDB was the first service at AWS to use SSD storage.

Speed 121

Speed Cache Latency AWS 121

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

The Morning Paper

OCTOBER 26, 2020

We push as much data processing as possible onto warehouse-scale computers and systems software. It’s limited by the laws of physics in terms of end-to-end latency. We saw earlier that there is end-user pressure to replace batch systems with much lower latency online systems. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

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.

Big Data 154

Big Data Processing Lambda Database 154

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 126

Traffic Scalability Database Servers 126

The Morning Paper

DECEMBER 8, 2019

Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. in front of that memory , as we saw last week).

Hardware 56

Hardware Programming Media Storage 56

Abhishek Tiwari

NOVEMBER 3, 2018

In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. 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.

Systems 63

Systems Cache Website Network 63

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

Brendan Gregg

JUNE 30, 2018

Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. In some cases, a benchmark may appear to exceed network bandwidth because it returns from a local memory cache instead of the remote target. Networking is the easiest to check. Does it reproduce? No packets.

Benchmarking 54

Benchmarking Latency Cache Network 54

Brendan Gregg

JUNE 29, 2018

Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. In some cases, a benchmark may appear to exceed network bandwidth because it returns from a local memory cache instead of the remote target. Networking is the easiest to check. Does it reproduce? No packets.

Benchmarking 40

Benchmarking Latency Cache Network 40

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. Customers can typically achieve average service-side in the single-digit milliseconds.

Scalability 167

Scalability Database Ecommerce Latency 167

Dotcom-Montior

MARCH 6, 2022

If the waiting time is too much, it may mean an overloaded network server or there may be an inefficient code, which must be fixed by software developers by finding the bugs and correcting the code. Moreover, caching utility may decrease the waiting time. 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

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. An extension to Service Workers that enables browsers to present users with cached content when offline. Where Chrome Has Lagged. Offscreen Canvas.

Media 145

Media Games Education Engineering 145

All Things Distributed

OCTOBER 2, 2017

Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene.

Internet 128

Internet Internet AWS Performance 128

Dotcom-Montior

MAY 6, 2020

If the waiting time is too much, it may mean an overloaded network server or there may be an inefficient code, which must be fixed by software developers by finding the bugs and correcting the code. Moreover, caching utility may decrease the waiting time. 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

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