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Analyze AWS applications end to end with Dynatrace using AWS Distro for OpenTelemetry

Dynatrace

Dynatrace news. An increasing number of companies are using cloud solutions for faster operations, greater flexibility, and to provide their customers with the best customer experience. AWS Distro for OpenTelemetry provides an easy way to obtain telemetry data for monitoring critical business applications that run on AWS.

AWS 225
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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Dynatrace news. Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Engineers often choose best-of-breed services from multiple sources to create a single application.

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

Dynatrace news. Dynatrace is proud to partner with AWS to support AWS Lambda functions powered by x86-based processors and Graviton2 Arm-based processors announced earlier this year. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement.

Lambda 215
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Dynatrace key takeaways from o11yfest 2021

Dynatrace

Dynatrace news. From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. The second focused on the OTel community, with more technical talks by representatives from companies like AWS, Elastic, and more.

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Key takeaways from o11yfest 2021 – SRE, Observability, and OpenTelemetry

Dynatrace

Dynatrace news. From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. The second focused on the OTel community, with more technical talks by representatives from companies like AWS, Elastic, and more.

AWS 147
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Kubernetes: Challenges for observability platforms

Dynatrace

Dynatrace news. While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. The Kubernetes experience.