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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Simplify data ingestion and up-level storage for better, faster querying : With Dynatrace, petabytes of data are always hot for real-time insights, at a cold cost. For example, organizations typically utilize only 60% of their security tools. Traditional network-based security approaches are evolving.

Strategy 165
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Dynatrace Cost & Carbon Optimization certified for accuracy and transparency

Dynatrace

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. Network traffic power calculations rely on static power estimations for both public and private networks.

Energy 223
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 212
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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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Globalizing Productions with Netflix’s Media Production Suite

The Netflix TechBlog

Besides the need for robust cloud storage for their media, artists need access to powerful workstations and real-time playback. As an example, if a show is shot on various camera formats all framed and recorded at different resolutions, with different lenses and different safeties on each frame.

Media 203
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Designing Instagram

High Scalability

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Some of the keys of understanding the user network are listed below.

Design 334
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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft. As an example, imagine an analyst wanting to create a Total Streaming Hours metric. For example, LORE provides human-readable reasoning on how it arrived at the answer that users can cross-verify.

Analytics 212