articles cap-theorem-for-distributed-system 
Erik Bernhardsson
DECEMBER 15, 2020
Just some examples from things I've worked on or close to: Spotify built a whole P2P architecture in C++ in order to distribute streaming music to listeners, something which today is a trivial problem (put the data on a CDN). CI systems were fragile, CD basically didn't exist, and deployments were scary manual affairs.
Instaclustr
AUGUST 2, 2021
MongoDB and Apache Cassandra are both popular NoSQL distributed database systems. In this article, I will review how the CAP and PACELC theorems classify these systems. I will then show how both systems can be configured to deviate from their classifications in production environments. .
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
UruIT
MARCH 25, 2020
For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. It doesn’t store the actual data, but it’s a sort of index for the distributed file system. Fun Fact .
UruIT
MARCH 25, 2020
For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. It doesn’t store the actual data, but it’s a sort of index for the distributed file system. Fun Fact .
UruIT
MARCH 25, 2020
For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically. It doesn’t store the actual data, but it’s a sort of index for the distributed file system. Fun Fact .
Modus Create
DECEMBER 30, 2020
This article will explain how event sourcing and CQRS can help you build an asynchronous, distributed application. This article will explain how event sourcing and CQRS can help you build an asynchronous, distributed application. The Asynchronous Nature of Microservices. If done correctly.
CircleCI
MARCH 22, 2021
In this article, we will focus on the scaling in terms of daily active users, or requests per time unit. However, to make the best use of network performance and work distribution, you may need to optimize your application code — and potentially re-architect the application (though doing so makes further scaling easier).
Expert insights. Personalized for you.
304 
Let's personalize your content