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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.

Lambda 177
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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.

Lambda 52
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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Dynatrace supports scalable data ingestion, ensuring your observability infrastructure grows with your cloud environment.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

Choose the most promising subset of tests out of thousands of test cases available when running continuous integration against a device. 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.

Testing 163
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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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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). If you’re a cloud architect, I assume you understand the benefit of having this data available without having to modify any container images or configuration.

AWS 127
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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. 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. Scalability. The design space.