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. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 94

Monitoring Scalability Cache Database 94

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Percona

SEPTEMBER 1, 2023

Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness. Resource contention emerges when multiple database operations vie for the same system resources simultaneously.

Tuning 52

Tuning Database Performance Hardware 52

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching partially stores your data and is not used as permanent storage. Caching Schemes.

Cache 128

Cache Performance Servers Social Media 128

The Morning Paper

AUGUST 29, 2019

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. System initialisation time.

Architecture 76

Architecture Cloud Storage Serverless 76

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. 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.

Cache 224

Cache Latency Traffic Systems 224

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier.

Cloud 117

Cloud Cache AWS Storage 117

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. 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

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

All Things Distributed

DECEMBER 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. I am pretty sure some if not all of these papers deserved to be elected to the hall of fame of best papers in distributed systems. Feb 11 - A Survey of Rollback-Recovery Protocols in Message-Passing Systems , E. All Things Distributed. Comments ().

Operating System 144

Operating System Cache AWS Scalability 144

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

The Morning Paper

JUNE 16, 2019

If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. Specifically, scalable, parallel streaming dataflow computing systems now support partially-stateful and dynamically-changing dataflows.

Database 90

Database Cache Benchmarking Efficiency 90

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126

Servers Social Media AWS Website 126

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. For as long as we’ve been talking about microservices, we’ve been talking about data.

Database 72

Database Cache Architecture Latency 72

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 86

Storage Scalability Strategy Performance 86

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. 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

MARCH 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Amazon ElastiCache customers will see their prices drop by up to 10%, depending on their cache node types. We continuously apply all our innovative skills to the design of datacenters, servers, storage, network, etc. All Things Distributed.

AWS 110

AWS Innovation Scalability Cache 110

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. Scalability. Finally, there’s scalability.

Serverless 281

Serverless AWS Lambda Storage 281

High Scalability

FEBRUARY 19, 2019

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Availability 204

Availability Open Source Cache Storage 204

High Scalability

JULY 20, 2018

The third wing of the architecture piece is the “domain specific system-on-chip.” That means multiple data indirections mean multiple cache misses. tef : You can use a message broker to glue systems together, but never use one to cut systems apart. They are very expensive. This is where your performance goes.

Internet 121

Internet Internet Scalability Automotive 121

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. > 128GB), we recommend turning on NUMA interleaving.

Performance 123

Performance Hardware Tuning Storage 123

Particular Software

MAY 22, 2023

Is this the best way to build a system, though? 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.

Systems 98

Systems Cache Strategy Database 98

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.

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).

Serverless 98

Serverless Lambda Cache Latency 98

Percona

JULY 17, 2023

5 among all database management systems and No. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). DBAs and developers appreciate its combination of flexibility, scalability, and performance. MongoDB is preferable for working with content management systems and mobile apps. It ranks No.

Open Source 73

Open Source Database Scalability Software 73

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. As said, the last one is probably the most powerful, scalable, and difficult to design, and unfortunately, it represents probably less than 5% of the solution currently deployed.

Traffic 121

Traffic Scalability Database Servers 121

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks. Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 52

HammerDB

JUNE 27, 2022

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems. can generate an HTML-only website without involving a CMS.

Systems 63

Systems Cache Website Network 63

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

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. So now that we know the truth about the way Optane DIMMs in App Direct mode behave, how should we design our systems to get the best out of them? FAST’20. to 0.98.

Scalability 59

Scalability Latency Cache Media 59

The Morning Paper

SEPTEMBER 10, 2019

Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc.

Analytics 75

Analytics Latency Cache Google 75

Percona

JULY 5, 2023

Fragmentation is a common concern in some database systems. The principle of locality While the principle of locality is usually related to processors and cache access patterns, it also applies to data access in general. The freed space will not return to the file system but will be reused by new pages. What is fragmentation?

Open Source 122

Open Source Database Efficiency Testing 122