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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. The demo application is a cloud-native e-commerce application made up of multiple microservices. OpenTelemetry demo application architecture diagram. By default, the demo comes with?Jaeger OpenTelemetry?community

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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 202
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. Ensure that you get the most out of your product.

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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. This metric indicates how quickly software can be released to production. Dynatrace news.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. Two major benefits of properly managed logs are their availability and searchability.

Systems 185
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Observability vs. monitoring: What’s the difference?

Dynatrace

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

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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. Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams.

Google 221