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. Adding caching when your app is already experiencing load is not easy.

Speed 95

Speed Cache Latency AWS 95

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 158

Database Lambda AWS IoT 158

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

Brendan Gregg

AUGUST 29, 2021

Reads usually have apps waiting on them; writes may not (write-back caching). biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. total used free shared buff/cache available Mem: 64414 15421 349 5 48643 48409 Swap: 0 0 0. This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache.

Cache 78

Cache C++ AWS Java 78

The Netflix TechBlog

DECEMBER 17, 2019

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses commonly available database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps.

Database 221

Database Traffic Transportation Open Source 221

The Netflix TechBlog

DECEMBER 17, 2019

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses standardized database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps.

Database 206

Database Traffic Transportation Open Source 206

The Morning Paper

MAY 12, 2019

The suite is built using popular OSS applications and representative technologies, deliberately using a mix of languages (C/C++, Java, Javascript, node.js, Python, Ruby, Go, Scala, …) and both RESTful and RPC (Thrift, gRPC) style service interfaces. The bottom line shows the tail latency impact in the microservices-based applications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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 Ecommerce 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 Ecommerce 52

Brendan Gregg

AUGUST 29, 2021

Reads usually have apps waiting on them; writes may not (write-back caching). biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache (the file system cache). This shows many cache misses, with a hit ratio varying between 6.5

Cache 40

Cache C++ AWS Systems 40

The Morning Paper

SEPTEMBER 12, 2019

A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM. The RDBMS was slower than TensorFlow for GPU-based implementations of neural networks, however.

Network 44

Network Database Programming Hardware 44