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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. Disadvantages of a Serverless Model.

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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Dynatrace provides server metrics monitoring in under five minutes, showing servers’ CPU, memory, and network health metrics all the way through to the process level, with no manual configuration necessary. Auto-detection starts monitoring new virtual machines as they are deployed. How does Dynatrace help?

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

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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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Complete Kubernetes observability with logs in topology context

Dynatrace

To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs. With these built-in mechanisms, you can control the ingested log sources and the associated monitoring costs. You can filter logs based on their content, source, or process technology.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Serverless platforms provision microservices as needed and shut them down immediately thereafter, allowing applications to be highly flexible, inexpensive to operate, and customizable. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data. Watch webinar now!