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A Recipe to Migrate and Scale Monoliths in the Cloud
In this article, I want to present a simple cloud architecture that can allow an organization to take monolithic applications to the cloud incrementally without a dramatic change in the architecture. We will discuss the minimal requirements and basic components to take advantage of the scalability of the cloud.
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Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems
The PDCA (plan-do-check-act) framework can be used to outline the performance, availability, and monitoring to enable teams to ensure performant and highly available applications. These include infrastructure design and setup, application architecture and design, coding, performance testing, and application monitoring.
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Can We Trust the Cloud Not to Fail?
I will start with the theory behind failure detection, and then review a couple of real-world examples of how the mechanism works in a real cloud - on Azure. Even though this article includes real-world applications of failure detection within Azure, the same notions could also apply to GCP, AWS, or any other distributed system.
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Indestructible Storage in the Cloud with Apache Bookkeeper
At Salesforce, we required a storage system that could work with two kinds of streams, one stream for write-ahead logs and one for data. But we have competing requirements from both of the streams. Being the pioneers in cloud computing, we also required our storage system to be cloud-aware as the requirements of availability and durability are ever more increasing.
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Elixir in Action Review and Q&A with the Author
Elixir in action is a new release from Manning that aims to introduce readers to Elixir and the Erlang virtual machine while also discussing concurrent programming topics, fault-tolerance, and topics related to high-availability. InfoQ has interviewed Saša Jurić, the book's author.
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CAP Twelve Years Later: How the "Rules" Have Changed
The CAP theorem asserts that any networked shared-data system can have only two of three desirable properties (Consistency, Availability and Partition Tolerance). In this IEEE article, author Eric Brewer discusses how designers can optimize consistency and availability by explicitly handling partitions, thereby achieving some trade-off of all three.