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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Clone Disk],” - [link] 2020 - [Moore 20] Samuel K. Ford, et al., “TCP Ford, et al., “TCP

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A guide to event-driven SRE-inspired DevOps

Dynatrace

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 – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 246
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Clone Disk],” [link] , 2020 [Moore 20] Samuel K. Ford, et al., “TCP Ford, et al., “TCP

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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report. For instance, Zurich Insurance Company, applied this approach through Azure DevOps. Automation gives us the ability to create a predictable level of quality at scale with limited resources.

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Kubernetes: Challenges for observability platforms

Dynatrace

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Kelsey Hightower via Twitter, 2020). The Kubernetes experience.

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Vision and Execution Leader – 2019 Gartner Magic Quadrant for APM

Dynatrace

In a sea of virtualized layers of abstraction, shared services, and dependencies, the cloud has become increasingly complex. Our platform needed a full-stack approach, including virtual network infrastructure, containers, applications, and users. We knew APM was critical but no longer enough. We needed to go beyond APM.

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5 key areas for tech leaders to watch in 2020

O'Reilly

there’s a Python library for virtually anything a developer or data scientist might need to do. The most popular CM tools are DevOps focused, and, like DevOps itself, they’re declining: usage in the CM topic dropped significantly (-18%) in 2019, as did virtually all CM tools. Interestingly, R itself continues to decline.