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SpringOne Platform: Four great days of sharing new ways of innovating with Pivotal Platform

Dynatrace

Tanzu will allow organizations to build applications with velocity, run open source Kubernetes with consistency, and manage entire footprint with confidence. Automation was a hot topic at the event and Dynatrace had the opportunity to host a workshop “Building Autonomous Operations for Pivotal Platform with Keptn”.

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World’s Top Web Performance Leaders To Watch

Rigor

list of those who are making a significant impact on speeding up the web today. Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” We at Rigor respect many web performance leaders around the world. Here is our (ever-growing!) Rachel Andrew. Rick Byers.

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Open Source at AWS re:Invent

Adrian Cockcroft

We’re excited to let you know that we have an Open Source track at re:Invent this year! Brendan Gregg tours BPF tracing, with open source tools & examples for EC2 instance analysis. Join Lee Packham, AWS Solutions Architect and Enrico Huijbers, AWS Software Development Engineer to find out how easy it is.

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Open Source at AWS re:Invent

Adrian Cockcroft

We’re excited to let you know that we have an Open Source track at re:Invent this year! Brendan Gregg tours BPF tracing, with open source tools & examples for EC2 instance analysis. Join Lee Packham, AWS Solutions Architect and Enrico Huijbers, AWS Software Development Engineer to find out how easy it is.

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Dynatrace’s automatic and intelligent observability co-flies with GKE Autopilot for managed Kubernetes – you can have it all!

Dynatrace

The Dynatrace Software Intelligence Platform — powered by the causal AI engine, Davis ® is the only observability platform for Kubernetes with continuous automation that identifies and prioritizes alerts from applications and infrastructure without changing code, container images, or deployments.? GKE Autopilot and beyond.

DevOps 221
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MXNet - Deep Learning Framework of Choice at AWS

All Things Distributed

A set of programming models has emerged to help developers define and train AI models with deep learning; along with open source frameworks that put deep learning in the hands of mere mortals. Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.

AWS 167
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8 Top Test Automation Mistakes And Tips For QA Teams to Avoid Them

Testsigma

To improve the quality of a software product built by developers, software testing is the key. As software testing plays a significant role in the delivery of the final product, it is necessary to consider that the testing process must involve accurate, exhaustive test cases and firm test strategy. Lack of Supervision.

Testing 73