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What is container orchestration?

Dynatrace

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

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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]. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture. PMC analysis (2017).

Java 145
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.

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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. It was the most challenging job among those I interviewed for.

Java 52
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

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Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore

Uber Engineering

In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone.

Code 94
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Weekend Reading: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases.

All Things Distributed

That database engine is now known as Amazon Aurora and launched in 2014 for MySQL and in 2016 for PostgreSQL. We believe the central constraint in high throughput data processing has moved from compute and storage to the network.

Database 120