DevOps

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What I learned in my 80 hours with Singapore Cloud Transformation Leaders

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The pitfalls of traditional synthetic monitoring (part 2)

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Optimizing Engineering Productivity on Atlassian with Addteq and Dynatrace

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Optimizing Jenkins to ensure fast build times with Dynatrace

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Optimizing Kubernetes to reduce flaky tests in CI/CD with Dynatrace

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Google Cloud NEXT 2018 Recap

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The pitfalls of traditional synthetic monitoring (part 1)

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A week in the Dynatrace Innovation Lab

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Using Pivotal’s Concourse? Add the Dynatrace UFO to track pipeline success

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Best of DevOps Tallinn 2018 – a PurePerformance Recap!

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Dear IT Pros: what I didn’t get about DevOps – and why you shouldn’t make the same mistake

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Mean Time to Instrumentation: A Key Metric for your next Monitoring Tool Evaluation

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How to write a Custom Dynatrace Problem Notification Integration

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PayPal and BARBRI create the next generation of IT: Perform 2018 rewind.

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Humana: Digitally Transforming Health and Well-being with Pivotal Cloud Foundry and Dynatrace

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AWS, Docker and Dynatrace: Supporting Citrix in their Agile Operations Transformation

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Dynatrace AI In Action: Rogue Python Script Impacting Atlassian DevOps Tools

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Continuous Performance-as-a-Self-Service : Automating familiar tools in the software delivery pipeline

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BizDevOps and Breaking Down Silos: How to make the push for more agile, self-driving IT

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Livestreaming the cloud: Watch the Perform 2018 Main Stage live on Jan 30-31 

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Cloud-Native Application Performance Monitoring Requires a New Approach

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Trades of a Performance Engineer in 2020!

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DevOps + Security = DevSecOps

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Auto-Mitigation with Dynatrace AI – or shall we call it Self-Healing?