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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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Serverless Development with AWS Lambda and MongoDB Atlas Using Java

The Polyglot Developer

So you need to build an application that will scale with demand and a database to scale with it? It might make sense to explore serverless functions, like those offered by AWS Lambda, and a cloud database like MongoDB Atlas.

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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Scalability. Finally, there’s scalability. Lambda functions can be written in the language of your choice, and the service also supports container tools. Data Store.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. The root cause are TCP connectivity issues on all 3 proxy instances. 4 AWS EFS monitoring.

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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. The experimental results focus on six main areas of comparison: query restrictions system initialisation time query performance cost data compatibility with other systems scalability.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. Let me expand on each one of them.

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