Embracing Data Mesh: Designing Modern Architectures on AWS for Enhanced Data Management

Introduction: In today’s data-driven world, the exponential growth of data from various platforms and applications presents both challenges and opportunities for businesses. To effectively harness the power of data, modern data architectures are evolving to embrace innovative approaches like data mesh. With data mesh, data is treated as a product, and architectures are designed around […]

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Conquering the Cold Start Challenge: Techniques to Avoid Cold Start in Cloud Architectures

In today’s digital landscape, cloud computing has become the backbone of modern applications and services. Cloud providers such as Amazon Web Services (AWS) and Microsoft Azure offer vast computing resources that can be scaled up or down on-demand. However, one of the challenges developers face when working with serverless architectures is the “cold start” problem. Cold start occurs when a function or container is invoked for the first time, leading to delayed response times. In this article, we will explore the concept of cold start, its impact on application performance, and discuss some techniques to mitigate it using AWS and Azure as examples.

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An Introduction To Serverless

Serverless is the idea that you can run a server-based application without having to manage a server.If you have this article in front of you, there is a chance you are already familiar with serverless. But how do you explain it to others? Do you focus on what it is, a new way to run […]

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What Is Apache Spark

Apache Spark is a cluster computing platform designed to be fast and general-purpose. On the speed side, Spark extends the popular MapReduce model to efficiently support more types of computations, including interactive queries and stream processing. Speed is important in processing large datasets, as it means the difference between exploring data interactively and waiting minutes […]

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Understanding Service Statelessness

Statelessness refers to the storage of variable values internal to the service. If a service is truly stateless, we should be able to call any method or reference any property on the service, and as long as we pass the same parameters, the service should behave in the same way. In other words, no values […]

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The Golden Rule of API Design

API DESIGN IS TOUGH, PARTICULARLY IN THE ENTERPRISE. If you are designing an API that is going to have hundreds or thousands of users, you have to think about how you might change it in the future and whether your changes might break client code. Beyond that, you have to think how users of your […]

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Continuously Integrate

HE BUILD AS A “BIG BANG” EVENT in project development is dead. The architect, whether an application or enterprise architect, should promote and encourage the use of continuous integration methods and tools for every project. The term continuous integration (CI) was first coined by Martin Fowler in a design pattern. CI refers to a set […]

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Pay Down Your Technical Debt

ON ANY PROJECT THAT IS IN PRODUCTION (i.e., it has customers that are using it), there will come a time when a change must be made; either a bug needs fixing, or a new feature must be added. At that point there are two possible choices: you can take the time needed to “do it […]

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Colocate Pattern

This basic pattern focuses on avoiding unnecessary network latency. Communication between nodes is faster when the nodes are close together. Distance adds network latency. In the cloud, “close together” means in the same data center (sometimes even closer, such as on the same rack). There are good reasons for nodes to be in different data […]

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Busy Signal Pattern

This pattern focuses on how an application should react when a cloud service responds to a programmatic request with a busy signal rather than success. This pattern reflects the perspective of a client, not the service. The client is programmatically making a request of a service, but the service replies with a busy signal. The […]

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Multitenancy and Commodity Hardware Primer

This primer introduces multitenancy and commodity hardware and explains why they are used by cloud platforms. Cloud platforms are optimized for cost-efficiency. This optimization is partially driven by the high utilization of services running on cost-efficient hardware that manifests as multitenant services running on commodity hardware. The decisions made in building the cloud platform also […]

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