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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices. AWS speaker: T.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. For some background, Kubernetes was created by Google and is currently maintained by the Cloud Native Computing Foundation (CNCF). It has become the industry standard for cloud-native container orchestration.

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How Improving Website Performance Can Help Save The Planet

Smashing Magazine

The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral. You can read about more advanced dead code elimination (aka tree shaking) in this post for Google by Jeremy Wagner. Do we have a carousel of images?

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Intro to Redis Sharding

Scalegrid

Grasping the concept of Redis sharding is essential for expanding your Redis database. This method involves splitting data over various nodes to improve the database’s efficiency. In this article, we will explain Redis sharding, explore its pros and cons, and how to apply it. How Does Redis Sharding Work?

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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

Infrastructure Optimization: 100% improvement in Database Connectivity. Think of a user login which requires your back-end systems to validate user credentials and query required user profile information from the backend databases. Too much data requested from a database, e.g. Request all and filter in memory.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. Service mesh.