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Performance Monitoring Dashboards in the Age of Big Data Pollution

Rigor

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. Alternatively, a number of organizations have created their own internal home-grown systems for managing and distilling web performance and monitoring data. The Value of Performance Monitoring Dashboards.

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What is IT automation?

Dynatrace

Monitoring and logging are fundamental building blocks of observability. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming. IT automation, DevOps, and DevSecOps go together. Monitoring automation is ongoing.

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DynatraceGo! APAC 2021: Lessons in thick data and keeping pace with the market

Dynatrace

is Dynatrace’s regional roadshow that gives APAC’s leading CIOs, CDOs, Cloud Architects, IT Operations, DevOps, SRE, and AIOps professionals access to live keynotes and breakout learning sessions with local technical experts to accelerate their digital transformation. Investing in data is easy but using it is really hard”.

DevOps 246
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What is AIOps? Everything you wanted to know

Dynatrace

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that.

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130
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A guide to Autonomous Performance Optimization

Dynatrace

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

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Optimizing anomaly detection and noise

Dynatrace

I took a big-data-analysis approach, which started with another problem visualization. During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. But that didn’t work for me.

Tuning 264