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How To Implement Video Information and Editing APIs in Java

DZone

As this report goes on to highlight, video traffic has become so pervasive that it’s now directly influencing traffic in other measurable content categories (such as on messaging, gaming, and social) where video content is frequently viewed and disseminated.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. And this expansion shows no sign of slowing down.

Analytics 264
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What is Log4Shell? The Log4Shell vulnerability explained (and what to do about it)

Dynatrace

Since December 10, days after a critical vulnerability known as Log4Shell was discovered in servers supporting the game Minecraft, millions of exploit attempts have been made of the Log4j 2 Java library, according to one team tracking the impact, with potential threat to millions more applications and devices across the globe. Dynatrace news.

Internet 264
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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

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How digital experience monitoring helps deliver business observability

Dynatrace

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. Join us and be a part of the amazing team that brought you this tech-blog; open positions: Software Engineer, Cloud Gaming Software Engineer, Live Streaming References [1] L.