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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Performance efficiency. Performance Efficiency. Design efficient use of your computing resources as demand changes and technologies evolves. Missing caching layers. Operational excellence. Reliability.

Azure 197
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A MyRocks Use Case

Percona

Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. InnoDB and MyRocks dataset sizes.

Storage 55
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What is a Distributed Storage System

Scalegrid

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130
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Building an elastic query engine on disaggregated storage

The Morning Paper

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. joins) during query processing. joins) during query processing.

Storage 112
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Understanding MySQL Triggers: Exploring How Triggers Impact MySQL Memory Allocation

Percona

Additionally, they enable the implementation of sophisticated business logic within the database, streamlining repetitive tasks and enhancing overall efficiency. Avoid overusing triggers for routine operations that can be handled more efficiently within the application code. What are the limitations of MySQL Triggers?

Cache 61
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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. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,