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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 163
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Unlock log analytics: Seamless insights without writing queries

Dynatrace

You can easily pivot between a hot Kubernetes cluster and the log file related to the issue in 2-3 clicks in these Dynatrace® Apps: Infrastructure & Observability (I&O), Databases, Clouds, and Kubernetes. Finding answers begins with opening the right app for your use case. A sudden drop in received log data?

Analytics 182
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

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Monitoring of Kubernetes Infrastructure for day 2 operations

Dynatrace

One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. When Kubernetes perform autoscaling (up/down) and on what. U nlike CPU, it ’s not compressible.

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What is Azure?

Dynatrace

Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. As on-prem data centers become obsolete, and organizations look to modernize, Azure has the flexibility and scalability to adapt to the business needs of your organic IT landscape.

Azure 238
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How to maximize serverless benefits and overcome its challenges

Dynatrace

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Serverless benefits include the following: Dynamic scalability. Serverless computing frameworks typically rely on software containers to provide on-demand performance and provisioning. Cost-effectiveness.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Amazon EC2.