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In-House Model Serving Infrastructure for GPU Flexibility

DZone

Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure. This shift is driven by the need for greater control over costs, data privacy, and system customization.

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Implementing a Self-Healing Infrastructure With Kubernetes and Prometheus

DZone

In today's world, the need for highly available and fault-tolerant systems is more important than ever. Furthermore, with the increased adoption of microservices and containerization , the need for a reliable infrastructure that can automatically detect and recover from failures has become critical.

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Tips for Building a Scalable Payment Architecture

DZone

Having a diverse payment system is crucial to avoid vendor lock-in, to leverage local payment methods, and to maintain control over costs. But as your application's market reach grows, so does the necessity for flexible and diverse payment options.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 232
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What is hyperconverged infrastructure? Realizing the benefits of HCI

Dynatrace

Therefore, they need an environment that offers scalable computing, storage, and networking. That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy. Realizing the benefits of HCI.

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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

Combined with Dynatrace OneAgent ® , you gain a precise view of the status of your systems at a glance. Whether necessary as part of deep root-cause analyses of issues faced by your users that impact your business or if you’re an engineer responsible for the infrastructure hosting your applications and network paths.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. 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. Investigating a video streaming failure consists of inspecting all aspects of a member account.