ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That means multiple data indirections mean multiple cache misses. Do you like this sort of Stuff? Please lend me your support on Patreon.

Internet 121

Internet Internet Scalability Automotive 121

All Things Distributed

OCTOBER 12, 2016

While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. There are some great examples and use cases for Redis, which you can see at companies like Hudl, which offers mobile and desktop video analytics solutions to sports teams and athletes.

Scalability 130

Scalability Analytics Cache AWS 130

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. You can also analyze table metrics, such as cache hits and misses. Apache Cassandra is an open-source, distributed, NoSQL database.

Azure 241

Azure Latency Metrics Infrastructure 241

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Example: If you have a table with a column of integers, you don’t want to keep them in line. PostgreSQL uses fixed-sized pages, which makes it challenging to store huge data values directly.

Storage 90

Storage Scalability Strategy Performance 90

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., This means for example that it can be applied to analyse source code repositories and pull requests, be used as an additional test in CI pipelines, and even give assistance in your IDE if it’s fast enough.

Java 80

Java Cache Benchmarking Programming 80

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. You can read some optimization examples in the official doc: [link].

Cache 102

Cache Hardware Servers Benchmarking 102

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. 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. An automatic and intelligent approach to monitoring and observability.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

CSS Wizardry

MAY 31, 2019

A classic example is jQuery, that we might link to like so: There are a number of perceived benefits to doing this, but my aim later in this article is to either debunk these claims, or show how other costs vastly outweigh them. Users might already have the file cached. Penalty: Caching. Myth: Cross-Domain Caching.

Cache 274

Cache Latency Infrastructure Website 274

All Things Distributed

SEPTEMBER 3, 2013

As we prepared to launch these features, I was struck not only by the range of services we provide to enable customers to run fully managed, scalable, high performance database workloads, including Amazon RDS , Amazon DynamoDB , Amazon Redshift and Amazon ElastiCache , but also by the pace at which these services are evolving and improving.

Cache 129

Cache Cloud Performance Retail 129

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., The Optane DIMM is the first scalable, commercially available NVDIMM. Use non-temporal stores for large transfers, and control cache evictions. FAST’20. most recently ‘ Efficient lock-free durable sets ‘). to 0.98.

Scalability 59

Scalability Latency Cache Media 59

Percona

FEBRUARY 15, 2023

This post will illustrate through a simple example how bloom filters work in MyRocks. In the above example, if you add all the first names of the people at Percona you’ll end up with only “1” That would be obviously useless. Bloom filters are an essential component of an LSM-based database engine like MyRocks.

Storage 128

Storage Tuning Cache Engineering 128

Percona

MARCH 17, 2023

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. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs.

Monitoring 99

Monitoring Scalability Cache Database 99

Dynatrace

JULY 16, 2020

I wanted to leverage Dynatrace’s Environment APIs, for example to export timeseries data, get problem stats, or change configuration settings, like enforcing a certain data privacy setting. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ?

Cache 235

Cache Serverless Efficiency Tuning 235

Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Active Memory Caching.

Cache 126

Cache Performance Servers Social Media 126

Official Blog - World Web Technology

AUGUST 27, 2023

For example, website design is very crucial to impress your website visitors. The community of PHP developers develops frameworks, libraries, and other development tools to build highly scalable, robust, and feature-rich PHP websites. Furthermore, opcode caching allows developers to speed up PHP code execution.

Development 98

Development Ecommerce Open Source Website 98

IO River

NOVEMBER 2, 2023

They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

High Scalability

FEBRUARY 17, 2021

An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Run phase is where each db is tested for different test conditions.

Benchmarking 308

Benchmarking Latency C++ Database 308

Percona

NOVEMBER 1, 2023

Here is an example scenario you may end up here: mysql > select @@version,@@version_comment; + --+ + | @@version | @@version_comment | + --+ + | 5.7.43 | MySQL Community Server (GPL) | + --+ + 1 row in set (0.00 version, like this: ANALYZE TABLE removes the table from the table definition cache, which requires a flush lock.

Servers 96

Servers Database Cache C++ 96

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

Architecture 52

Architecture Cache Performance Latency 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

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

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. 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.

Cache 40

Cache Servers Network Design 40

The Netflix TechBlog

NOVEMBER 23, 2020

Other shortcomings include a lack of source timestamps, support for multiple connections, and general scalability challenges. For example, Arista’s EOS provides eAPI, a RESTful service using JSON payloads. Here is a example of what some of these leaves may look like: Tree example generated by pyang.

Open Source 186

Open Source Network Transportation Cache 186

IO River

NOVEMBER 2, 2023

They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

OCTOBER 21, 2020

This is a great example of how valuable Dynatrace is for diagnosing performance or scalability issues, and a great testimony that we at Dynatrace use our own product and its various capabilities across our globally distributed systems. One of them being a small cache that would have brought the initial startup time down by about 95%.

Code 245

Code Cloud Engineering Java 245

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This scalability ensures that your applications can grow in tandem with your business or user demands, maintaining a high level of operational efficiency.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. For example, if some fields in the responses are timestamps, those will differ. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 339

Traffic Latency Tuning Systems 339

HammerDB

JUNE 27, 2022

Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Instead, most users prefer to implement a cached workload. What programming languages does HammerDB use and why does it matter?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Particular Software

MAY 22, 2023

For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join. From a technical perspective, attributes that change together should also be cached similarly. It gets worse.

Systems 98

Systems Cache Strategy Database 98

Dynatrace

APRIL 8, 2020

However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Depending on your application, you may be faced with one of these challenges: Slow garbage collection : This can impact your CPU massively and can also be the main reason for scalability issues.

Speed 166

Speed Code Java Lambda 166