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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.

Google 218
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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 221
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60 seconds to self-upgrading observability on Google Kubernetes Engine

Dynatrace

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. With Dynatrace OneAgent technology, your Kubernetes clusters gain self-managed observability as soon as a node is provisioned.

Google 191
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What is container orchestration?

Dynatrace

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Originally created by Google, Kubernetes was donated to the CNCF as an open source project. How does container orchestration work?

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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Have a look at the full range of supported technologies. Dynatrace news.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 244