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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

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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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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

Today we’re happy to announce, that with the release of Dynatrace version 1.198 (SaaS and Managed), auto-adaptive baseline extends beyond application performance (APM) metrics to include thousands of infrastructure and cloud metrics as well. Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Custom log metrics.

Metrics 201
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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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 254
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

Many of our users are performance engineers using Cloud Automation Quality Gates to automate the analysis of their performance and load tests – saving hours of analysis time for each test they run. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 241
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Plan Your Multi Cloud Strategy

Scalegrid

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management.

Strategy 130