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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.

Code 167
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7 Tips for Effective Cybersecurity Training for Developers

DZone

Cybersecurity is an ever-present concern for organizations across all industries. Set Goals for Developers Writing code can be a time-consuming process. Threat actors continually seek ways to infiltrate businesses and sell stolen data to the highest bidder.

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CrowdStrike BSOD: Quickly find machines impacted by the CrowdStrike issue

Dynatrace

Dynatrace does this by automatically creating a dependency map of your IT ecosystem, pinpointing the technologies in your stack and how they interact with each other, including servers, processes, application services, and web applications across data centers and multicloud environments. asc | fields `Host`, `Recently Restarted?

Airlines 306
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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.

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Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)

Dynatrace

In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. For example, we presented how a multinational travel agency uses MDA to diagnose error rates per loyalty status to make sure that their premium customers have a perfect software experience. Dynatrace news. What’s next.

Metrics 167
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Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. This is especially true when the goal is to present information to non-technical users, but all technical teams can benefit from aligning raw metrics with higher-level KPIs and SLOs. Presentation matters.

Metrics 246