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Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

Storage 112
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 246
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Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

Hello friendly Serverless Insights subscribers! Some in-depth and unusual client work (want to encrypt a petabyte of S3 storage? I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. Great stuff!

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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.

AWS 52
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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

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What is function as a service? App development gets FaaS and furious

Dynatrace

FaaS enables developers to create and run a single function in the cloud using a serverless compute model. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. Serverless container services. Enterprises can deploy containers faster, as there’s no need to test infrastructure or build clusters. Managed orchestration. CaaS vs. PaaS. CaaS vs. IaaS.