Remove 2014 Remove AWS Remove Cloud Remove Storage
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Netflix End of Series 1

Brendan Gregg

offer letter logo (2014). flame graphs (2014). eBPF tools (2014-2019). I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. I could help not only Netflix but all customers of the cloud. PMC analysis (2017). my pandemic-abandoned desk (2020); office wall.

Java 145
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Weekend Reading: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases.

All Things Distributed

Soon after the launch of Amazon Relation Dabase Service (RDS) AWS customers were giving us feedback that they would love to migrate to RDS but what they would love even more was if we could also unshackle them from the high-cost, punitive licensing schemes that came with the proprietary databases.

Database 117
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?

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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. Storage I/O. Not a lot has changed with these tunables since my [2014] talk. Donovan Fritz and Joel Kodama (networking) A Day in the Life of a Cloud Network Engineer at Netflix.

Tuning 61
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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 Ford, et al., “TCP

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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. Storage I/O. Not a lot has changed with these tunables since my [2014] talk. Donovan Fritz and Joel Kodama (networking) A Day in the Life of a Cloud Network Engineer at Netflix.

Tuning 52
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Netflix End of Series 1

Brendan Gregg

offer letter logo (2014) flame graphs (2014) eBPF tools (2014-2019) PMC analysis (2017) my pandemic-abandoned desk (2020); office wall I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive work culture. I could help not only Netflix but all customers of the cloud.

Java 52