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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. Our object storage service splits objects into many parts and stores them in S3.

Media 218
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

Latency 260
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. 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 242
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Flexible Storage : The service is designed to integrate with various storage backends, including Apache Cassandra and Elasticsearch , allowing Netflix to customize storage solutions based on specific use case requirements. Note : With Cassandra 4.x

Latency 239
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Why you need Dynatrace on Azure Workloads

Dynatrace

In addition to the OneAgent collecting all these metrics, Dynatrace has an integration with Azure Monitor to capture additional metrics for platform services such as Storage Accounts, Redis Cache, API Management Services, Load Balancers among others. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 198
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. This occurs once data is safely stored within a local cache. Monitoring begins here.