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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

They state in the blog that this was quick to build, which is the point. His first edition in 2015 was foundational, and he updated it in 2021 with a second edition. When you are exploring how to construct something, building a prototype in a few days or weeks is a good approach. He is also clear about when microservices aren’t useful.

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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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Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. But by 2015, it was more common to split up monolithic applications into distributed systems.

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue. We ended up setting it in the BaseAMI for all cloud services.

Speed 126
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What Adrian Did Next: 2022 Conference Appearances

Adrian Cockcroft

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52
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How To Add eBPF Observability To Your Product

Brendan Gregg

biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map. This is currently part of our FlameCommander UI, which also runs flame graphs across the cloud. For a more recent example, I wrote cachestat(8) while on vacation in 2014 for use on the Netflix cloud, which was a mix of Linux 3.2

Latency 145
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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?