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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.

AWS 162
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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). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 182
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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From observability to sustainability: Reduce your IT carbon footprint with Dynatrace Carbon Impact

Dynatrace

There are many definitions of environmental sustainability, most of which converge on a common theme: collectively and individually, we have a responsibility to act to protect global ecosystems and support health and wellbeing, now and in the future. Sustainability seeks a balance between human activity and the natural world.

Energy 186
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OpenTelemetry observability and Dynatrace deliver actionable answers at scale

Dynatrace

Like the tree in the forest, the microservice falling definitely made a sound. This involves configuring its exporters, agents, and collectors to instrument the data from your various services and infrastructure in preparation for processing by your chosen back end. For some services, this is pretty straightforward.

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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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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.