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.
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.
Engineering
When your service won’t wait: Troubleshooting EasyTrade with Dynatrace MCP and Gemini CLI
Discover how Gemini CLI streamlines troubleshooting with Dynatrace MCP, enabling fast, agentic fixes for services.
CVE-2025-55182: React2Shell Critical Vulnerability — what it is and what to do
React2Shell CVE-2025-55182 exposes servers to remote code execution. Learn risks, impacted frameworks, and urgent remediation steps.
How to build workflows that catch bugs early and keep code moving
Learn how integrated observability helps dev teams spot bugs early, boost code quality, and accelerate software delivery.
AWS publishes Dynatrace-developed blueprint for secure Amazon Bedrock access at scale
AWS publishes Dynatrace-developed blueprint for secure Amazon Bedrock access at scale
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.
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.
Unlock enhanced CI/CD insights in GitLab for pipeline visibility
Using Dynatrace SDLC Events, monitor GitLab CI/CD Pipelines for enhanced visibility into your systems and DevOps cycle.
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.
Java hashing efficiency: Techniques to beat Arrays.hashCode(byte[]) using Java’s own means
Pure Java implementations beat the default Arrays.hashCode(byte[]) method in OpenJDK 24. Learn our techniques to make it more efficient.
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.
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.
Auth0 monitoring with Dynatrace for more secure authentications
Auth0 monitoring with Dynatrace enables organizations to gain unprecedented insights into authentication, security, and identity events.
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.
Unified observability: Why storing OpenTelemetry signals in one place matters
Storing OpenTelemetry signals in one place in context with all other signals creates true unified observability, enabling better analysis.
How Dynatrace Kubernetes Monitoring powers smarter insights
Kubernetes complexity poses significant monitoring challenges. Discover how Dynatrace Kubernetes monitoring solves Kubernetes complexity.
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.
Mastering sign-in log monitoring: How to secure user identity with Dynatrace
Cyberattacks are increasingly shifting user identities. Discover show sign-in monitoring is crucial to secure user identity.
Go big with Dynatrace: Native support for large log records
Go big with Dynatrace: Native support for large log records
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.
The rise of agentic AI part 1: Understanding MCP, A2A, and the future of automation
What is agentic AI? Learn how Model Context Protocol and A2A help next-level AI agents communicate to fuel the latest automation revolution.
Threat detection in cloud native environments: Detecting suspicious Kubernetes service account behavior
By combining different data sources like logs and runtime context, Dynatrace can help improve detection accuracy and create actionable findings.
Distributed tracing best practices for the software development lifecycle
Distributed tracing for developers at every stage of the development lifecycle helps to deliver services that fulfill core business goals.
Kubernetes security essentials: Kubernetes misconfiguration attack paths and mitigation strategies
A Kubernetes misconfiguration can lead to security vulnerabilities. Learn how attackers exploit them, and how to mitigate attacks.
Kubernetes security essentials: Understanding Kubernetes security misconfigurations
All too often, Kubernetes misconfigurations become security misconfigurations. Learn why, and how to avoid them.
KubeCon EU 2025 retrospective: Reflections from my sixth KubeCon
Join Adriana Villela as she takes you behind the scenes for the innovation, fun, and friends at KubeCon EU 2025 in London.
How to observe logs with Journald and Dynatrace
Enhance observability of modern operating systems and close your Kubernetes monitoring gaps with Journald structured logs.
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.