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When Reliability Goes Wrong in Cloud Networks

Kentik

In the first part of this series , I introduced network reliability as a concept foundational to success for IT and business operations. Reliability has become a catch-all for four related concerns: availability, resiliency, durability, and security.

Network 52
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Engineering dependability and fault tolerance in a distributed system

High Scalability

You can view the original article on Ably's blog. In this article, we discuss the concepts of dependability and fault tolerance in detail and explain how the Ably platform is designed with fault tolerant approaches to uphold its dependability guarantees. Availability and Reliability are forms of dependability.

System 86
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What is SOAP: Formats, Protocols, Message Structure, and How SOAP is Different from REST

Altexsoft

The data itself is structured into messages that systems send to each other. In this article, we’ll figure out how SOAP works, why it’s so common across corporate users, and how it differs from the REST. Before you move further, beware that this article uses tech terms like server, client, protocols, etc. SOAP has its merits.

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Implementing the Netflix Media Database

Netflix Tech

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. key value stores generally allow storing any data under a key).

Media 94
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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. All of these, and more, lead to design patterns that can be used and reused. All of these, and more, lead to design patterns that can be used and reused. Why a payment system, you ask?

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Ozone Write Pipeline V2 with Ratis Streaming

Cloudera

This blog post is written with a technical audience in mind who may be interested in the design and implementation details of how writes work in a highly scalable distributed object store. In this article, we discuss the Pipeline V2 implementation and the major performance improvement demonstrated with the benchmark results.

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Apache Kafka Data Access Semantics: Consumers and Membership

Confluent

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Let’s first examine what we would want from a typical system that processes a large amount of data for a critical cause.

Data 111