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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 219
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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? Either you take advantage of image processing where we convert the images automatically for you or you deliver the WebP assets from your origin based on the accept header. Optimus offers an efficient way to generate WebP images.

Cache 81
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52
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Efficient lock-free durable sets

The Morning Paper

Efficient lock-free durable sets Zuriel et al., Memory might be durable, but… …it is expected that caches and registers will remain volatile. One bit is used to mark a node as invalid while it is in the process of being inserted into the list, and the other bit is used as a logical deletion marker. OOPSLA’19.

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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. RocksDB is a very efficient key-value store based on LSM trees. This is a tribute to the efficient compression capabilities of MyRocks. While with InnoDB the size is 20GB, it is only 4.3GB with MyRocks.

Storage 55
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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. Workload characteristics.

Storage 112
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

Latency 233