Enhance your development workflow with the Amazon Q Developer CLI for Dynatrace MCP
Enhance your development workflow by integrating Amazon Q Developer CLI with the Dynatrace AI-powered observability platform using MCP.
Dynatrace Engineering Blog
Tutorials, tips and resources for engineers on cloud technologies and observability
The rise of agentic AI part 5: Developing and monitoring multi-agent applications with OpenAI Agents SDK on Azure AI Foundry
Learn how to build agentic AI applications using the OpenAI Agents SDK and Azure AI Foundry with Dynatrace AI Observability built in.
Empowering SREs with runtime vulnerability analytics and security posture management
Learn how Dynatrace empowers Site Reliability Engineers with end-to-end visibility and control, from code creation to live production.
AllObservabilityCloud nativeAIOpsOpen sourceApplication security
All
From anomaly to root cause in under a minute
Learn how Dynatrace unifies synthetic monitoring, traces, and logs for instant insights.
Build Dynatrace® Apps faster, simpler, and smarter with the new App Toolkit
Equip teams to quickly craft custom apps and solutions on the Dynatrace platform.
Supply chain security: How to detect malicious software packages with Dynatrace
Boost supply chain security with Dynatrace using real-time detection and automated workflows against malicious packages.
Remediating CVE-2025-3248: How Dynatrace Application Security protects Agentic AI applications
Learn how attackers exploiting CVE-2025-3248 can manipulate AI agent behavior and plant a malicious backdoor in AI-generated source code.
Sky-high developer productivity with Dynatrace MCP and GitHub Copilot
Sky-high developer productivity with Dynatrace MCP and GitHub Copilot
Kubernetes security essentials: Container misconfigurations – From theory to exploitation
Learn how attackers exploit Kubernetes container misconfigurations and how to defend against them with practical examples.
Transforming Azure Data Factory operations with Dynatrace
Learn how integrating Dynatrace with Azure Data Factory enables smarter, proactive management of data pipelines with automated insights and recovery.
Enhance your development workflow with the Amazon Q Developer CLI for Dynatrace MCP
Enhance your development workflow by integrating Amazon Q Developer CLI with the Dynatrace AI-powered observability platform using MCP.
The rise of agentic AI part 5: Developing and monitoring multi-agent applications with OpenAI Agents SDK on Azure AI Foundry
Learn how to build agentic AI applications using the OpenAI Agents SDK and Azure AI Foundry with Dynatrace AI Observability built in.
Observability
Sky-high developer productivity with Dynatrace MCP and GitHub Copilot
Sky-high developer productivity with Dynatrace MCP and GitHub Copilot
Enhance your development workflow with the Amazon Q Developer CLI for Dynatrace MCP
Enhance your development workflow by integrating Amazon Q Developer CLI with the Dynatrace AI-powered observability platform using MCP.
The rise of agentic AI part 5: Developing and monitoring multi-agent applications with OpenAI Agents SDK on Azure AI Foundry
Learn how to build agentic AI applications using the OpenAI Agents SDK and Azure AI Foundry with Dynatrace AI Observability built in.
Power dashboarding part 3: Filter data effectively to find what matters
In part 3 of our power dashboarding series, we’ll show you how to apply filtering options to zero in on the most relevant information.
The rise of agentic AI part 3: Amazon Bedrock Agents monitoring and how observability optimizes AI agents at scale
Next-level agentic AI relies on agent-to-agent communication. Discover how to optimize AI agent observability and Amazon Bedrock Agents monitoring.
The rise of agentic AI part 2: Scaling MCP best practices for seamless developers’ experience in the IDE with Cline
With agentic AI on the rise, TELUS employs some MCP best practices with Cline and Dynatrace Live Debugger to boost developer experience.
Cloud native
Transforming Azure Data Factory operations with Dynatrace
Learn how integrating Dynatrace with Azure Data Factory enables smarter, proactive management of data pipelines with automated insights and recovery.
Enhance efficiency and compliance with automated AWS tag change triggers: A step-by-step guide
Learn how to trigger Guardians whenever Amazon AWS EC2 tags change. Streamline AWS automation for better reliability and efficiency at scale.
Observability as Code: DIY with Crossplane
Observability as Code: DIY with Crossplane
Build systems more reliably with Dynatrace: Chaos Engineering
Learn about the Reliability metric, which measures modern operational practices.
The 3 biggest Kubernetes deployment mistakes you can make
Learn about all the things that can go wrong when moving to Kubernetes—and how to avoid the mistakes that lead to such problems.
OpenShift vs. Kubernetes: Understanding the differences
Navigate the nuances between OpenShift and Kubernetes, understanding their strengths, use cases, and deployment considerations.
AIOps
Better dashboarding with Dynatrace Davis AI: Instant meaningful insights
Stay ahead with visual, AI-powered forecasting, or get new insights into your data leveraging Davis CoPilot™.
Efficient SLO event integration powers successful AIOps
This blog post delves into the relevance and utility of SLOs and how they might be helpful to you.
The right person at the right time makes all the difference: Best practices for ownership information
Learn a best practice approach for linking ownership information with observability data, enabling automation of incident triaging.
Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry
Dive into the world of AI model observability with Dynatrace and Traceloop OpenLLMetry, exploring insights, monitoring, and optimization.
Automate predictive capacity management with Davis AI for Workflows
Leverage Davis AI for Workflows to predict capacity needs, optimize resource allocation, and maintain peak performance.
Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI
Explore reliable, cost-effective services powered by generative AI, ensuring optimal performance and scalability.
Open Source
KubeCon EU 2025 key takeaways: Spotlight on cloud-native observability
For observability watchers and cloud-native fans, KubeCon EU didn’t disappoint. Discover key takeaways and breakthrough Dynatrace sessions.
Running OpenTelemetry demo app Astronomy Shop with Dynatrace
Easily experiment with the Astronomy Shop, the OpenTelemetry demo application, using Dynatrace as your full-context OTel backend.
Observability as Code: DIY with Crossplane
Observability as Code: DIY with Crossplane
Dynatrace loves OpenTelemetry
Dynatrace loves OpenTelemetry
Let’s learn how to send OpenTelemetry data to Dynatrace together!
Get started with Dynatrace support for OpenTelemetry: Learn how to send OpenTelemetry data to Dynatrace.
When things go sideways: Troubleshooting the OpenTelemetry Operator
Solutions for common issues with OpenTelemetry Operator installation, deployment, and auto-instrumentation.
Application security
Supply chain security: How to detect malicious software packages with Dynatrace
Boost supply chain security with Dynatrace using real-time detection and automated workflows against malicious packages.
Kubernetes security essentials: Container misconfigurations – From theory to exploitation
Learn how attackers exploit Kubernetes container misconfigurations and how to defend against them with practical examples.
Snyk integration for Dynatrace: Bridging development and runtime with actionable security notifications
Here's how to use the newly published Snyk integration to create actionable Jira tickets.
Auth0 monitoring with Dynatrace for more secure authentications
Auth0 monitoring with Dynatrace enables organizations to gain unprecedented insights into authentication, security, and identity events.
Threat detection in cloud native environments (part 2): How to automate threat management using workflows
This blog covers three building blocks of handling threats: Leave no gaps, get the right eyes on it, and respond quickly.
Revisiting Spring4Shell: How Cloud Application Detection and Response (CADR) offers multi-layer protection
Using Spring4Shell as an example, discover how Dynatrace can detect and prevent exploitation on multiple layers.