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Cloud infrastructure monitoring in action: Dynatrace on Dynatrace

Dynatrace

A critical component to this success was that the Dynatrace Team itself uses the Dynatrace Platform to monitor every single Dynatrace cluster in the cloud and trusts the Dynatrace Davis AI to alert in case there are any issues, either with a new feature, a configuration change or with the infrastructure our servers are running on.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. 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. Stream Processing: to sample or not to sample trace data?

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Who will watch the watchers? Extended infrastructure observability for WSO2 API Manager

Dynatrace

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. High latency or lack of responses. Soaring number of active connections.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency. divide the input video into small chunks 2.

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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 210
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Dynatrace supports Azure Managed Instance for Apache Cassandra

Dynatrace

It also removes the need for developers and database administrators to manage infrastructure or update database versions. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Add your visualization to your dashboards for easy access and sharing.

Azure 241
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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Its ability to densely schedule containers into the underlying machines translates to low infrastructure costs. The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. below 500ms) and error rates (e.g.

Latency 213