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Transforming Development with AWS

All Things Distributed

In my keynote at AWS re:Invent today, I announced 13 new features and services (in addition to the 15 we announced yesterday). At AWS, we want to be the Q for developers, giving them the super-powered tools and services with deep features in the Cloud. We launched the following new services and features today to help.

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Three smart log ingestion strategies in Dynatrace (without OneAgent)

Dynatrace

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). 3: Ingest AWS Fargate logs with Fluent Bit. Let’s take this example of AWS Fargate.

Strategy 180
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Evolution of Netflix Conductor:

The Netflix TechBlog

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Our cluster size ranges from 12–18 instances of AWS EC2 m4.4xlarge instances, typically running at ~30% capacity. *?—?Cassandra The Netflix Media Database (NMDB) is one such example.

Lambda 189
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Continuous Integration / Continuous Delivery on AWS

The Symphonia

Since we use so many AWS services in our work, it makes sense that we also consider AWS tools for CI/CD. What are the AWS Continuous Integration / Continuous Delivery tools? AWS have a bunch of different products in this area grouped into their “CodeSuite” developer tools : CodeCommit is their managed Git service.

AWS 40
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A Deep Dive Into Serverless UI With TypeScript

Smashing Magazine

If you’ve been looking for a clear explanation of how applications can be developed and deployed to AWS with less configuration as possible, then I’ve prepared just the article for you. This permits you to easily couple any choice of front-end framework with Serverless UI to deploy existing and new applications to AWS stress-free.

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Cloud-Based Testing – A tester’s perspective

Testsigma

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Definitely, cloud testing will involve some new technology and the testers will need to learn them. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments.

Cloud 67
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Rethinking the 'production' of data

All Things Distributed

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud.