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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. Saving your cloud operations and SRE teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

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Monitoring Serverless Applications

Dotcom-Montior

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Focus on Application Development.

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Complete Kubernetes observability with logs in topology context

Dynatrace

The complexity of hybrid environments with multiple virtual machines and cloud solutions like AWS EKS, Azure AKS, or GCP GKE with hundreds of containers and their constantly changing lifecycles creates challenges for app owners, developers, SREs, and infrastructure owners.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.