January 2025 Summaries

Carbon Impact is a specialized application developed using Dynatrace AppEngine to help organizations assess and manage the carbon emissions produced by their IT infrastructures, including hardware and software instances. The app offers a unified interface for measuring energy consumption and carbon emissions, utilizing host utilization metrics and translating them into energy use and CO2e emissions based on geolocation, acknowledging the varied environmental impacts of different energy sources. It provides key insights and optimization recommendations for underutilized or idle systems, aiming to reduce the carbon footprint across hybrid and multicloud environments. Users can engage in ad-hoc analytics using Dynatrace Query Language (DQL) to explore and analyze data, supporting optimization efforts by establishing baselines and measuring progress toward sustainability goals. The app's methodologies are influenced by the Sustainable Digital Infrastructure Alliance and the open-source Cloud Carbon Footprint project, offering a streamlined approach for organizations looking to integrate energy efficiency into their IT operations. By facilitating detailed analysis at the data center, host, and process levels, Carbon Impact empowers organizations to prioritize and implement green coding practices, thus aligning sustainability efforts with application performance management best practices.

The Digital Operational Resilience Act (DORA) is a critical regulation for financial institutions in the EU, aimed at ensuring operational resilience and protection against cyber threats. Dynatrace suggests that its unified observability and security capabilities can automate up to 80% of the technical tasks required for DORA compliance, significantly reducing time, personnel, and associated costs, while enhancing accuracy and minimizing non-compliance risks. By leveraging Dynatrace, organizations can continuously monitor IT environments, proactively manage incidents, and maintain compliance efficiently, freeing resources for core business activities. This automation is estimated to reduce compliance effort by 50-70%, offering a strategic advantage by improving operational resilience and integrating with other compliance frameworks like NIS2 and PS21/3. Dynatrace provides real-time insights and prioritizes risk management, helping financial institutions maintain a comprehensive compliance strategy, ultimately leading to substantial cost savings and operational efficiencies.

Dynatrace SaaS version 1.307 introduces several new features, updates, and bug fixes aimed at enhancing user experience and system functionality. Notable updates include improved application security with detailed tracking of vulnerable Node.js components, a streamlined OneAgent version management system, and enhanced integration of Davis Entity IDs for better problem detection. The Grail platform now supports new DQL functions for data queries, while infrastructure improvements include better segment support and a detailed network metrics view. OpenPipeline now offers a read-only mode for exploration, and Kubernetes dashboards have enhanced navigation options for in-depth analysis. Moreover, the Dashboards app has been upgraded to support a responsive grid-based layout, offering flexibility in presentation. Several bugs have been addressed, such as issues with session replay, notification placeholders, and filter suggestions, ensuring smoother operations and data management across platforms.

Dynatrace's Simple Workflows feature provides an automated, cost-free solution for engineering and SRE teams to manage single-step tasks, such as alerting via Slack or email, thereby reducing manual processes and increasing efficiency. This tool is designed to address the challenges posed by the complexity of modern software environments, where traditional monitoring methods often require cumbersome scripting and integration efforts. By utilizing Simple Workflows, teams can set up automated alerts for pre-production exceptions, facilitating quicker issue detection and minimizing the risk of production disruptions. The feature allows for the easy creation of workflows triggered by events, schedules, or on-demand requests, ensuring that minor issues are addressed before they impact production. Simple Workflows offer a straightforward automation approach, with the option to upgrade to more advanced standard workflows for multi-step tasks and custom code execution. Looking ahead, Dynatrace plans to expand the capabilities of both simple and standard workflows with additional actions and integrations, enhancing their usability and effectiveness in monitoring and alerting processes.

The blog post provides a comprehensive guide for new and existing users on integrating OpenTelemetry (OTel) with Dynatrace, emphasizing its vendor-neutral nature, which allows users to send the same data to multiple observability platforms simultaneously. The author, an OTel veteran and recent Dynatrace user, shares personal insights and detailed instructions on configuring the OpenTelemetry Collector to send data to Dynatrace, highlighting the ease of reconfiguring the Collector due to OTel's vendor neutrality. Key steps include creating a Dynatrace account, generating an access token, and setting up the OTel Collector, with a focus on ensuring data security by storing sensitive information in a secrets manager. The post also touches on the importance of vendor-specific distributions and the benefits of using Dynatrace's Collector distribution, which includes verified components and independent security patches. While the transition between observability vendors involves more than just redirecting data, the post suggests evaluating vendors based on their unique processing capabilities and encourages users to explore Dynatrace further through its Playground or a free trial.

Dynatrace Managed version 1.306 introduces several notable changes, including the end of support for the AWS log forwarder, which was deprecated at the end of 2024, necessitating users to transition to newer solutions. The release also implements case-sensitive custom attribute keys in log management, allowing distinction based solely on letter case, which affects how searches are conducted. Enhancements include new attributes for request naming in distributed traces, a new limit for complex event filters in alerting profiles, and minimized Kubernetes monitoring restarts. Other developments involve the removal of the "Monitor persistent volume claims" toggle in Kubernetes settings, the addition of new Windows event log attributes, unified descriptions for infrastructure metrics, and an extended allow list for resource attributes in OTLP metrics ingestion. The release also anticipates future changes to operating systems support, with Red Hat Enterprise Linux and Amazon Linux 2 among those to be phased out. Additionally, the release resolves 21 issues across various components, enhancing application security, cluster management, and session replay, among others.

Davis AI is an advanced analytics tool integrated into Dynatrace dashboards that enhances observability, security, and business operations through its anomaly detection and forecasting capabilities. It allows users to activate AI on any numeric time series chart to quickly identify anomalies and predict future trends, thereby optimizing resource allocation and improving decision-making processes. The tool offers three approaches for anomaly detection—Auto-Adaptive Threshold, Seasonal Baseline, and Static Threshold—each suited to different data patterns and requirements. Davis CoPilot further simplifies the process by enabling users to gain insights without the need for complex queries. This AI-driven system is particularly useful across various domains, including application performance management, digital experience management, financial operations, and predictive maintenance, providing instant, real-time visualization and analysis of data. The integration of Davis AI also facilitates automation, as it can trigger actions like disk resizing in response to forecasted demands, ultimately helping businesses maintain efficiency and prevent potential issues.

State and local agencies that rely on geographic information system (GIS) applications like ArcGIS for essential services must prioritize application resilience, especially during emergencies when performance issues can have significant consequences. Advanced observability solutions play a crucial role in eliminating blind spots in application performance, offering IT teams the ability to proactively address potential outages and enhance the citizen experience by ensuring optimal application availability and performance. Application Performance Monitoring (APM) is essential in this context, providing insights into complex hybrid environments and enabling staff to improve both customer experience and operational efficiency. Full-stack observability extends these capabilities by offering comprehensive, real-time insights into application health, infrastructure, and database performance, helping IT teams swiftly address issues before they impact users. Furthermore, automated vulnerability detection and runtime analysis help secure applications against growing cybersecurity threats, ensuring a safe digital transformation. By integrating these tools, agencies can improve citizen services and employee satisfaction while managing the complexities of modern IT environments effectively.

Dynatrace has achieved TX-RAMP Level 2 certification for its latest platform, signifying compliance with the stringent security and compliance standards required by Texas state agencies and educational institutions. The Texas Risk and Authorization Management Program (TX-RAMP) provides a framework for assessing and certifying the security of cloud computing services that handle state agency data, with Level 2 being necessary for services dealing with confidential and moderate to high-impact information. By securing this certification, Dynatrace demonstrates its capability to support Texas institutions in delivering secure and efficient digital services, aiding their digital transformation efforts while ensuring resilience and efficiency in complex IT environments. This milestone emphasizes the importance of robust observability and security in public sector services, aligning with Dynatrace's ongoing commitment to high security standards and enabling institutions to meet rising expectations for uninterrupted, cost-effective digital service delivery.

Dynatrace provides a comprehensive platform for enhancing compliance and operational resilience in IT environments by automating up to 80% of technical tasks related to managing these areas. It addresses complex regulatory requirements, such as the European Union's Digital Operational Resilience Act (DORA), through real-time IT system mapping, automated compliance checks, and security posture management. Dynatrace leverages AI, specifically its Davis® AI, to proactively prevent, prioritize, and manage performance and security incidents efficiently. The platform features tools like the Compliance Assistant for DORA, Vulnerability Analytics for detecting and remediating vulnerabilities, and Site Reliability Guardian for validating service objectives, which collectively ensure continuous service delivery and risk management. By automating manual tasks and streamlining processes with tools like Workflows, Dynatrace increases productivity, allowing businesses to focus on strategic initiatives while maintaining high performance and security standards in a dynamic regulatory landscape.

Dynatrace integrates with Amazon EventBridge to streamline security operations for DevSecOps teams by unifying security findings throughout the Software Development Lifecycle (SDLC) and enhancing them with runtime context, helping to reduce alert noise and prioritize critical issues in production environments. In complex multicloud settings, security findings are often isolated across different tools and environments, making it challenging to maintain a holistic view of security posture and risks, resulting in inefficient data collection, difficulty in prioritizing findings, and excessive manual efforts. Dynatrace addresses these challenges by providing a unified platform for ingesting and analyzing security events across cloud environments, enabling better risk assessment and faster remediation of critical vulnerabilities. The integration with Amazon EventBridge allows Dynatrace to receive security findings from various sources, which can be visualized, analyzed, and automated for improved security posture management. This partnership with AWS facilitates the ingestion of events in standard formats and offers CloudFormation templates for easy setup, aiming to enhance observability and drive cloud-native innovation while maximizing AWS cloud investments.

Dynatrace is transitioning from Extension Framework 1.0 to the more advanced Extension Framework 2.0, which now supports JMX and Python data sources, offering improved security, scalability, and ease of use. This upgrade is mandatory but not automatic, requiring users to manually migrate their extensions with the help of Dynatrace's provided tools and documentation. Extension Framework 2.0 enhances the monitoring capabilities of SNMP, WMI, SQL databases, and Prometheus technologies, and introduces Python support to address complex use cases that require coding. It simplifies deployment through declarative, YAML-based extensions, which are automatically distributed and scalable, while coded extensions in Python are sandboxed for security. The new framework ensures comprehensive metric support and provides pre-configured reporting and analytics tools. Dynatrace has already begun updating key extensions to the new framework and plans further training sessions to assist users with the migration process, aiming to complete the upgrade by October 2024 when support for Python extensions 1.0 will end.

Modern microservices architecture presents challenges in release management due to the complexity of coordinating hundreds of CI/CD pipelines managed by diverse DevOps teams. Dynatrace offers a solution by centralizing release validation through its workflows, which can be triggered via ITSM or GitOps, thereby maintaining consistent validation standards without modifying each individual pipeline. This approach integrates release validation with ITSM tools such as ServiceNow and Jira, as well as GitOps tools like ArgoCD for Kubernetes deployments, ensuring adherence to organizational standards. Dynatrace's Site Reliability Guardians (SRGs) provide automated validation checkpoints, assessing key metrics like latency and error rates, with the flexibility to tailor validations to specific services using tags. By implementing a phased approach, starting with centralized workflows in ITSM and expanding to GitOps and CI/CD tools, organizations can achieve a balance between centralized oversight and real-time validation, enhancing release quality and responsiveness while empowering both developers and release managers.

Dynatrace integrates with Tenable to create a comprehensive security management solution that unifies and streamlines the analysis, prioritization, and response to vulnerabilities across digital environments. By leveraging the enriched runtime context provided by Dynatrace, users can focus on critical issues affecting production applications, reducing alert noise for DevSecOps teams. The collaboration bridges the gap between application performance insights from Dynatrace and infrastructure vulnerability scans conducted by Tenable, facilitating a more effective prioritization of security threats. This integration includes automation features such as notifications and ticket creation for new findings, monitoring suspicious user activity, and visualizing security data through sample dashboards and workflows. The integration is facilitated by OpenPipeline, which maps Tenable's vulnerability findings into Dynatrace's unified schema for further analysis, helping organizations maintain robust security aligned with their production environments.

Observability is crucial for efficient operations in hybrid workloads, providing insights into system performance and application health, though achieving comprehensive observability can be complex. IBM and Dynatrace have collaborated to integrate Dynatrace's observability platform with Red Hat OpenShift on IBM Z and LinuxONE, enhancing system modernization and operational efficiency through improved visibility across the tech stack. The Dynatrace platform offers full-stack observability, infrastructure health monitoring, and integration with cloud-native technologies, improving troubleshooting with features like Smartscape® technology and Davis® AI. The Dynatrace Operator automates the deployment and management of observability components within Kubernetes environments, facilitating seamless integration and maintenance by automating tasks like provisioning, scaling, and configuration updates. This integration allows platform engineering teams to easily access critical observability and security information, supporting large-scale enterprise deployments and enhancing the monitoring of Red Hat OpenShift infrastructure and workloads on IBM systems.

Deploying software in Kubernetes can appear simple but often involves numerous challenges, such as managing resource constraints, external dependencies, monitoring inadequacies, and infrastructure health issues. Keptn, an open-source project, is introduced as a solution that enhances observability and provides governance and automated checks around the deployment process, ensuring that applications meet defined service level objectives. By integrating with standard deployment tools and practices, Keptn verifies infrastructure health, resource availability, external service reachability, and monitoring configurations before and after a workload is deployed. Additionally, Keptn facilitates end-to-end traceability by accepting W3C trace IDs, allowing for comprehensive observability of the deployment process. This integration helps DevOps teams maintain smooth and efficient Kubernetes deployments by offering visibility and control over the entire deployment lifecycle, from code merging to production rollout.

The Opportunity Insights app, introduced by Dynatrace, offers an innovative approach to performance and error optimization for websites by utilizing predictive AI to analyze real user data, identifying key metrics that impact user experience and predicting the business impact of improvements. This tool allows businesses to make informed decisions by understanding the financial implications of website performance issues, rather than relying on static, generic recommendations. The app identifies the top three optimization opportunities that promise the highest return on effort, based on a structural causal machine learning model that evaluates errors, performance metrics, and user behavior across millions of sessions. Early user feedback from various industries highlights the app's effectiveness in linking application performance to business outcomes, enabling teams to prioritize development efforts strategically. Opportunity Insights, now generally available with Dynatrace version 1.296, empowers businesses to optimize their websites effectively, retaining more users and sessions than predicted.

Dynatrace OpenPipeline addresses the challenges faced by organizations with fragmented data sources by enabling them to ingest logs from various systems and extract business-relevant data for comprehensive process monitoring. This tool allows companies, such as a retail firm with disparate data systems, to gain end-to-end visibility of their business processes by integrating data from all sources, including both modern APIs and older log files. By extracting business events from logs, Dynatrace OpenPipeline separates technical data from business-relevant information, facilitating easier data access and analysis for different teams. This approach not only improves the ease of querying and visualizing data but also helps organizations optimize their processes and gain valuable insights. The platform's capabilities include AI-powered monitoring and the visualization of complete business journeys, providing a holistic view of business performance and enabling the identification of delays and issues across IT and business-related processes.

Dynatrace SaaS version 1.306 introduces several updates, including breaking changes, feature enhancements, and bug fixes across various categories such as platform, application observability, infrastructure, security, and more. Notably, custom attribute keys for logs are now case-sensitive, affecting how searches and queries are conducted. Kubernetes telemetry enrichment now allows for better cost allocation and record-level permissions, while the OpenPipeline has been simplified with new technology bundles. Additional improvements include enhanced collaboration features in dashboards and notebooks, streamlined monitoring for network devices, and extended support for OpenTelemetry resource attributes. The update also brings new functionalities for distributed tracing, infrastructure observability, security case management, and introduces a flexible timeframe selector for Kubernetes apps, alongside a series of bug fixes aimed at improving overall platform stability and performance.