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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?

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Bandwidth-friendly Query Profiling for Azure SQL Database

SQL Performance

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96
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Keeping data in India with AI-powered observability operated on AWS Mumbai

Dynatrace

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 231
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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. So please stay tuned for updates. . Dynatrace news. What’s next.

Cloud 256
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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action.

Software 246
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. GitOps: integrate Cloud Automation configuration into your development processes through the upstream git capability.

DevOps 242
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

They will adopt your monitoring self-service platform instead of building a custom monitoring solution that fits into their development process and mindset. This will make your life easier when scaling monitoring in your organization as well as it increases productivity of your application teams as you fit right into their existing processes.