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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Register now!

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

BBR: Congestion-Based Congestion Control,” [link] 2016 - [Gregg 16] Brendan Gregg, “Unikernel Profiling: Flame Graphs from dom0,” [link] Jan 2016 - [Gregg 16b] Brendan Gregg, “Linux 4.X

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Virtual Memory. Not a lot has changed with these tunables since my [2014] talk. I shouldn't let this go to my head, as there were 42,000 attendees at re:Invent looking for something to see!)

Tuning 61
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Virtual Memory. Not a lot has changed with these tunables since my [2014] talk. I shouldn't let this go to my head, as there were 42,000 attendees at re:Invent looking for something to see!)

Tuning 52
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

BBR: Congestion-Based Congestion Control,” [link] 2016 - [Gregg 16] Brendan Gregg, “Unikernel Profiling: Flame Graphs from dom0,” [link] Jan 2016 - [Gregg 16b] Brendan Gregg, “Linux 4.X

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Monitor MySQL And Auto Recover From A Crash

The Polyglot Developer

Since starting this blog in July of 2014, I have had an unexpected amount of growth. So much, that a lot of strain has been placed on my virtual private server (VPS). The worst part for me is that MySQL tends to crash while I’m sleeping, putting my blog out of commission for up to six hours at a time.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

EPU: Emotion Processing Unit is designed by Emoshape , as the MCU microchip design to enable a true emotional response in AI, robots and consumer electronic devices as a result of a virtually unlimited cognitive process. In 2014, Google’s Project Tango deployed Myriad1 to construct 3D indoor maps. FPU: Floating Processing Unit (FPU).