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How to automate Canary Release decisions with Dynatrace

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. One of the aspects of progressive delivery is using new zero-downtime deployment strategies such as Canary, Blue-Green, or Feature…
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Dynatrace AI predicts SLO violations and pinpoints root causes proactively

Dynatrace enables Site Reliability Engineering (SRE) teams to proactively ensure the highest service quality levels. Davis, the Dynatrace AI engine, identifies potential contributors to SLO violations in real time, before thresholds…
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Architected for resiliency: How Dynatrace withstands data center outages

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. There is no “Resiliency as a Service” you can connect to via an API that makes your service…
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A practical guide to monitoring Python Applications with Dynatrace

Monitoring and observability are important topics for any developer, architect, or Site Reliability Engineer (SRE), and this holds true independent of the language or runtime of choice. In my role as Developer and DevOps Advocate, I have the…
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In-product guidance accelerates Service Level Objectives (SLO) setup for confident deployments

To enable release risk assessment and decision making, Dynatrace now provides guidance and templates for setting up Service-Level Objectives (SLOs) with the right metrics, combined with powerful analytics and problem root-cause detection. …
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A guide to event-driven SRE-inspired DevOps

“This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn –…