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Log filtering made easy: Data segmentation and advanced filters in Dynatrace Logs

Dynatrace

For example, a segment for Service Errors in Azure Region can be applied instantly by selecting it from the dropdown. For example, the Service Errors in Azure Region segments can provide a dynamic list of available regions instead of creating multiple fixed region segments.

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Driving your FinOps strategy with observability best practices

Dynatrace

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Dynatrace can help you achieve your FinOps strategy using observability best practices.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

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AWS re:Invent 2021 shines light on cloud-native observability

Dynatrace

Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?