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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

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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. Each of these findings poses opportunities for future work to explore specific architectural tradeoffs further.

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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. Only now the database is itself a distributed KVS, and the slices of application functionality are much finer-grained. High level architecture. Evaluation.

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Evolution of Netflix Conductor:

The Netflix TechBlog

The Netflix Media Database (NMDB) is one such example. x has seen several new additions to System tasks, mostly contributed by the community: Lambda Lambda Task executes ad-hoc logic at Workflow run-time, using the Nashorn Javascript evaluator engine. As such, Conductor 2.x

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. The agent training library exposes different types of learning agents that utilize neural networks to approximate action. Experiment with different neural network architectures.

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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. What is that something?

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