Remove presentations performance-engineering-scale
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Presentation: Effective Performance Engineering at Twitter-Scale

InfoQ

Yao Yue recapitulates scaling a project at Twitter while summarizing some key lessons learned about effective performance engineering. By Yao Yue

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Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Dynatrace

Kubernetes has undeniably become widely adopted as an effective solution for deploying applications, offering an abundance of features for optimizing releases and scaling workloads. The Dynatrace platform automatically identifies and monitors all newly spawned containers, capturing essential data and metrics at scale.

Google 225
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Automating Success: Building a better developer experience with platform engineering

Dynatrace

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Auto Remediation generates recommendations by considering both performance (i.e., Multi-objective optimizations.

Tuning 210
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Unified observability delivers deeper insights with AI-driven analytics and automation

Dynatrace

Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said.

Analytics 181
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. As organizations see an increasingly high number of compute locations, assessing health and finding root causes of emerging problems across heavily distributed workloads, at scale, has become a daunting task.

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Unlocking collaborative partner innovation: 2024 Dynatrace Partner Pro Club winners

Dynatrace

In today’s complex digital landscape, organizations need to be able to scale and innovate in order to compete. While the curtains have fallen on Perform 2024 , the Dynatrace annual user conference, the commitment and collaborative nature of our partner relationships is consistently being demonstrated.