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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Stream Processing: to sample or not to sample trace data?

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Plan Your Multi Cloud Strategy

Scalegrid

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems.

Strategy 130
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Expanding the Cloud – The Second AWS GovCloud (US) Region, AWS GovCloud (US-East)

All Things Distributed

The AWS GovCloud (US-East) Region is located in the eastern part of the United States, providing customers with a second isolated Region in which to run mission-critical workloads with lower latency and high availability. System and Organization Controls (SOC) 1, 2, and 3. Payment Card Industry (PCI) Security.

AWS 117
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. The more complex a system, the more places to look for clues. In an earlier blog post, we discussed Telltale , our health monitoring system. What is Edgar?

Latency 296
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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. The audits check for equality (i.e.

Big Data 253
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Snap: a microkernel approach to host networking

The Morning Paper

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand. Enter Google!

Network 92
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. We want to support these systems as a source so that they can provide their data for further consumption. The database is sending them to a transport that DBLog can consume.

Database 197