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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. During transport , data is prioritized, compressed and encrypted, ensuring data integrity and protection.

Analytics 200
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement.

Network 325
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. CaaS automates the processes of hosting, deploying, and managing container technologies. The emergence of Docker and other container services enabled companies to transport code quickly and easily.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Central engineering teams provide paved paths (secure, vetted and supported options) and guard rails to help reduce variance in choices available for tools and technologies to support the development of scalable technical architectures.

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Simple streaming telemetry

The Netflix TechBlog

As is common with mature technologies, any number of shortcomings have revealed themselves. The mechanisms by which the data is retrieved may not be inherently reliable (in the case of SNMP’s UDP transport) and always require active polling by the collector? which, for time series data, must be driven by a strict clock.