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Dynatrace OTel Collector distribution amplifies OpenTelemetry integration for scalable, production-ready observability

Dynatrace

But rigorous requirements for security, production readiness, scalability, and reliability can make adopting OpenTelemetry challenging for teams to maintain at enterprise scale. Organizations use it to collect and send data to a backend, such as Dynatrace, that can analyze software performance and behavior.

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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. DevSecOps and SRE : Observability is not just the result of implementing advanced tools, but a foundational property of an application and its supporting infrastructure.

Metrics 363
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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 203
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Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest

Dynatrace

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. This capability allows users to gain more real-time insight into their Google Cloud infrastructure with AI-powered context to automate business and cloud operations decisions.

Google 217
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 258
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 175