VoltDB

MARCH 21, 2024

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52

Cache Database Storage Availability 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 94

Speed Cache Latency AWS 94

Smashing Magazine

JUNE 18, 2020

Flutter isn’t that, though: it runs natively on each platform, and it means each app runs just like it would run if it were written in Java/Kotlin or Objective-C/Swift on Android and iOS, pretty much. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage 103

Storage Mobile Website Java 103

Highly Scalable

APRIL 2, 2012

The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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

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.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Brendan Gregg

APRIL 14, 2022

On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture.

Java 52

Java Cloud Cache AWS 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. Java applications use a similar mechanism.). 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. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 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 Ecommerce 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 Ecommerce 40

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. Stock MySQL has provided several storage engines beyond just InnoDB (the default) and MyISAM.

Open Source 52

Open Source Servers Storage Scalability 52

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52