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

Dynatrace

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. But how does FaaS fit in?

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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Many AWS services and third party solutions use AWS S3 for log storage. Or explore the recently introduced support for AWS Lambda logs.

AWS 187
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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 216
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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. VLDB’19. The design space. Key findings. Serverless o?erings Query performance.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network. High level architecture. Evaluation.

Lambda 98
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Evolution of Netflix Conductor:

The Netflix TechBlog

External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. Instead of creating workers for simple evaluations, Lambda task enables the user to do this inline using simple Javascript expressions.

Lambda 189
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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Some examples of how current customers use AWS are: Cost-effective solutions. Rapid time to market. Increasing agility.

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