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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.’ A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

Lambda 98
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Serverless o?erings The design space. Key findings.

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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. With Amazon EFS, there is no minimum fee or setup costs, and customers pay only for the storage they use.

Lambda 123
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A one size fits all database doesn't fit anyone

All Things Distributed

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. The client keeps a map of Redis nodes, which is updated in case of failover.

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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63