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AWS serverless services: Exploring your options

Dynatrace

For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.

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Hashnode Creates Scalable Feed Architecture on AWS with Step Functions, EventBridge and Redis

InfoQ

Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ Cloudburst’s design includes consistent mutable caches in the compute tier. arXiv 2020.

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Managing the Dynatrace API across multiple thousand environments

Dynatrace

TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? These API tokens are then stored in a local cache (the TenantCache using Redis), alongside with other rather static information of the environments: ? tenant-token the current API token to use.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

For query executors that can be frequently started and stopped the authors explore performance with cold and warm caches (where applicable), and also the horizontal and vertical scaling performance. Serverless o?erings Query performance is measured from both warm and cold caches. Scalability. Query restrictions.

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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

Large preview ) Storing Data In BigQuery For Comprehensive Analysis Once we capture the Web Vitals metrics, we store this data in BigQuery , Google Cloud’s fully-managed, serverless data warehouse. We realized that we needed to consider a more global and scalable solution to better serve our global audience.