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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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Serverless Development with AWS Lambda and MongoDB Atlas Using Java

The Polyglot Developer

Serverless functions are great because you can implement very specific logic in the form of a function and the infrastructure will scale automatically to meet the demand of your users. This will spare you from having to spend potentially large amounts of money on always on, but not always needed, infrastructure.

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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Java, Go, and Node.js Kubernetes infrastructure models differ between cloud and on-premises.

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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. This approach, however, requires more extensive collaboration between developers, security teams and IT operations teams.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. In order to satisfy this requirement, ML practitioners had to develop bespoke triggering and orchestration components per pipeline.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

In this article, we compare Oracle vs. PostgreSQL, outlining the differences in these SQL database costs, features, and ease of use for both developers and database administrators (DBA’s) alike. PostgreSQL is an open source object-relational database system with over 30 years of active development. Scalability. Compare Costs.