Remove Analytics Remove Cloud Remove Monitoring Remove Video
article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. To that end, the Video and Image Encoding team in Encoding Technologies (ET) has spent the last few years rebuilding the video processing pipeline on our next-generation microservice-based computing platform Cosmos.

article thumbnail

Transform digital experience in real-time using Experience Cloud ID from Adobe Analytics

Dynatrace

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news. No painful custom integration needed.

Analytics 264
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

This is only one of many microservices that make up the Prime Video application. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample. He is also clear about when microservices aren’t useful. Finally, what were they building?

article thumbnail

AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 217
article thumbnail

Optimize mobile app performance, adoption, and conversions with Session Replay and business analytics

Dynatrace

However, today’s highly dynamic cloud-native environments with containers, microservices, and platforms like Kubernetes, make it more challenging to ensure that applications are working as expected and that customers are adopting new features and generating conversions. Optimize mobile app performance and maximize business impact.

Analytics 214
article thumbnail

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

article thumbnail

Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 268