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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. What problem are we solving? Encoding is not a one-time process?—?large

Media 214
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Dynatrace Kubernetes Observability for Persistent Volume Claims

Dynatrace

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes.

Storage 195
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Designing Instagram

High Scalability

Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters.

Design 334
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Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

Percona

PostgreSQL is a fantastic database, but if you’re storing images, video, audio files, or other large data objects, you need to “toast” them to get optimal performance. This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability.

Storage 92
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Data ingestion pipeline with Operation Management

The Netflix TechBlog

in a video file. As described in the above picture During the first run of the algorithm it identified 500 objects in a particular Video file. Now when we re-ran the algorithm on the same video file it created 600 annotations of schema type Objects and stored them in our service. The Algorithm team improved their algorithm.

Media 264
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Continue reading below ↓ Meet Smashing Online Workshops on front-end & UX , with practical takeaways, live sessions, video recordings and a friendly Q&A. Active Memory Caching. When you want to get data that you already had quickly, you need to do cachingcaching stores data that a user recently retrieved.

Cache 125
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Impact of Data locality on DB workloads.

n0derunner

In this video I migrate a Postgres DB running PGbench benchmark. As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage.