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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? This is the problem domain on which Keptn can help Platform Engineers provide a solution and guard rails for teams to deploy software that works perfectly.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Security by design enhanced by unified observability and security

Dynatrace

At financial services company, Soldo, efficiency and security by design are paramount goals. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies.

Design 217
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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” What is Kubernetes?

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems.

DevOps 191