January 2020 Summaries

The Dynatrace SaaS release version 1.260, rolled out starting February 13, 2023, introduces a variety of new features, enhancements, and resolved issues to improve application and infrastructure monitoring, security, and user experience. Key updates include the launch of a new code-level vulnerability detection tool, an improved documentation structure for better navigation, and the discontinuation of the Davis Assistant. Notable enhancements encompass on-demand synthetic monitor executions from any location, expanded user action analysis for mobile applications, and new bulk operations for managing third-party vulnerabilities. The release also includes changes in the Data Explorer's query operator set and dashboard resolution to optimize performance. Additionally, new placeholders for vulnerability notifications have been introduced, and several endpoints in the Application Security API are now available in general availability and early adopter releases. The update resolves eight issues across different components, addressing problems in application security, cluster operations, synthetic monitoring, and metric queries.

Dynatrace SaaS release version 1.261 introduces several enhancements and resolves numerous issues across its infrastructure and application monitoring features. Key updates include the discontinuation of legacy Kubernetes container metrics, enriching the application security overview with new features such as critical third-party vulnerabilities, and code-level vulnerabilities detection. New capabilities also enable users with management zone permissions to create metric event configurations and provide enriched security features like Runtime Application Protection. Additionally, the release addresses various resolved issues, including corrections to the Kubernetes service ports table and improvements in the problem alerting profiles with new property filters. Several cumulative updates are included, each resolving specific issues to enhance the overall functionality and reliability of the platform.

Dynatrace SaaS release 1.252 introduces a range of new features and enhancements aimed at improving access management, log monitoring, and remote configuration capabilities. The update details the introduction of role-based environment permissions via Dynatrace IAM, allowing for more refined access control. The release enhances log management by enabling configuration-as-code for logs, supporting scalable data acquisition and processing within enterprise environments. It also marks the end of life for the Davis Assistant, with existing integrations set to cease functioning by January 31, 2023. Additional improvements include expanded email template capacities for problem notifications, the ability to mute resolved third-party vulnerabilities, and new filtering options on the Kubernetes workload page. The update also addresses several resolved issues, including display problems in monitoring rules and errors on the AWS Lambda Functions screen.

Dynatrace's version 1.266 release, rolled out starting May 9, 2023, includes numerous updates and fixes across its platform. Key announcements include the disabling of metric event duplication due to a bug, with a fix forthcoming, and enhancements to ServiceNow integration by supporting plain text problem details. The release also marks the deprecation of the Anomaly detection API for metric events, encouraging users to migrate to the Settings API. The Workflow Creator app now includes tutorials for automation, and browser monitors have been updated to support deprecated JavaScript frameworks selectively. Infrastructure monitoring enhancements are seen with new VMware settings and additional attributes for Kubernetes events, aiding better correlation of data. Data Explorer has received visualization improvements, like column and row management, and pagination. The release also addresses numerous resolved issues, ranging from fixed inconsistencies in cluster analysis to UI navigation problems, ensuring a smoother user experience.

Dynatrace's version 1.264 release introduces several significant updates and enhancements across its platform. Key features include the general availability of Code-level Vulnerability Analytics and Runtime Application Protection, which can be enabled in all environments but require ASU consumption. The release also enhances Kubernetes monitoring with containerized auto-scalable private locations, eliminating the need for deploying individual ActiveGates on separate hosts. New DQL commands and functions, such as fieldsSummary and arrayMedian, have been added to improve data querying capabilities. Additional improvements include an extended Davis AI health self-monitoring dashboard, integration with Slack for workflows, and a new host page for z/OS infrastructure monitoring. The update also includes a range of resolved issues, improving stability and functionality in areas such as application security, synthetic monitoring, and the user interface.

ActiveGate release notes for version 1.187, published on January 31, 2020, highlight key updates and support changes for Dynatrace users. The notes emphasize the importance of updating ActiveGates older than version 1.154, as Dynatrace version 1.188 will no longer support these older versions due to the introduction of 64-bit host IDs. Users are advised not to cancel Windows ActiveGate updates, as doing so can inadvertently remove the current installation; a workaround is provided for those who encounter this issue. The release also includes the resolution of three issues, including fixing the return from "failover" mode and ensuring proper collection of CloudWatch metrics for DocumentDB AWS instances.

The Dynatrace SaaS version 1.270 release introduces several enhancements and new features, including the integration of Davis AI for predictive capacity management and native support for OpenTelemetry logs, which enhances unified observability. Custom charts are being phased out, requiring users to upgrade to Data Explorer charts for continued support and enhancements. Application Security settings now allow view-only access to certain notification settings, while CyberArk authentication for credential synchronization introduces a new method using hostnames or IP addresses. Kubernetes monitoring has seen updates, such as the improved monitoring settings split into separate schemas and new alert conditions. Dashboard filter logic has been refined for improved accuracy, and several resolved issues from previous builds have been incorporated into this release, addressing various bugs across components like the Autonomous Cloud, Storage, and NGINX.

ActiveGate release version 1.185, published on January 31, 2020, addresses several issues and provides updates for users. A critical known issue in this release is that canceling the ActiveGate update on Windows can remove the current installation, so users are advised to let the update process finish. If the installation is unintentionally removed, a workaround involves using configuration files from a backup to reinstall ActiveGate. The release resolves six issues, including fixing PROXY parameter parsing, improving detection of invalid installation directory configurations, ensuring the DNSENTRYPOINT property is preserved during upgrades, correcting a Windows memory violation in the autoupdater service, fixing custom certificate configuration issues, and re-enabling TLS v1.0 and v1.1.

Dynatrace SaaS version 1.267 introduces a range of new features and enhancements across its platform, including updates to metric event filters with new operators for entity and dimension filtering, a shift to role-based authorization for AWS credentials, and new criteria for SLO selector automation. The release also includes updates to host coverage information on the Application Security overview page, enhancements to the Kubernetes UI, and the disabling of the Docker extension by default. Additionally, the update resolves several issues, including a vulnerability in the configuration API, navigation errors in older Safari browsers, and inconsistencies in tag encoding within Davis events. Cumulative updates, such as Build 1.267.91 through Build 1.267.118, consolidate all prior releases, ensuring users have access to the latest improvements and fixes.

Dynatrace's 1.268 release introduces several enhancements and changes, notably in infrastructure monitoring and application security. The release includes breaking changes such as Oracle Database hostname verification and enhanced SSL support for SQL server monitoring configurations. New features include fine-tuned security user permissions, additional Kubernetes workload alerts, and a new settings schema for VMware. The update also enhances remote configuration management for host tags and properties, centralizes OneAgent host property management, and adjusts W3C header configurations. Additionally, SSL support is extended to several database extensions, and new DQL functions are introduced. Several resolved issues are addressed, including enhancements in cluster management, ActiveGate deployment, and session replay, alongside updates to the Python runtime for the Extensions Framework to incorporate OpenSSL 1.1.1t.

Dynatrace version 1.265 introduces a phased rollout of its latest features to SaaS environments, enhancing the platform with new capabilities like the AppEngine, AutomationEngine, and Grail data lakehouse, designed to streamline cloud complexity and business observability. The update includes advanced automation tools such as Automated Change Impact Analysis and Site Reliability Guardian, as well as improved data visualization options with the newly introduced Launcher, Dock, and Notebooks app. New DQL functions have been added to simplify data queries, and the platform now includes enhanced infrastructure monitoring features for Kubernetes events and VMware settings. The release also resolves various issues, including improved handling of CA Certificates in ActiveGate installations and better configuration for Synthetic private locations, while introducing a new carbon impact tracking feature to promote sustainability. The update ensures seamless transitions for users by notifying administrators via email about environment upgrades and offers guidance on setting up access policies and licensing upgrades to the new Dynatrace Platform Subscription model.

Dynatrace's version 1.278 release introduces several enhancements aimed at improving security, documentation, and observability features. The update includes automated security reporting to facilitate vulnerability-risk communication within DevSecOps teams, offering dashboard and notebook templates for security insights and remediation tracking. Documentation for Dynatrace Managed and SaaS now features a refined design with dedicated URLs, while new DQL functions like hashXxHash32 and hashXxHash64 are added for data queries. Additionally, the release sees changes in log monitoring settings, the general availability of security data on Grail, and options for managing Kubernetes annotations and OS services monitoring based on host metadata. The update resolves various issues across different components, such as the Dynatrace Cluster and Session Replay, ensuring better performance and usability.

Dynatrace's SaaS release version 1.272 introduces several updates and new features aimed at enhancing the platform's capabilities and user experience. Notable updates include the introduction of cost monitors to help manage budgets more effectively, automated observability for software development, and new DQL functions and commands for improved data querying. The release also addresses ActiveGate updates to prevent data loss and encourages users to transition to the latest Log Monitoring version, which will replace the older version by November 2023. Enhancements in application security, such as new vulnerability metrics dimensions and improved Kubernetes event monitoring, are also highlighted. Additionally, the release resolves various issues related to the cluster, ActiveGate, and user interface components, ensuring smoother operations and better performance across the platform.

Dynatrace's SaaS release version 1.256 introduces several new features and enhancements, including expanded support for GitLab's group endpoint in issue tracking and improved flexibility for managing vulnerabilities. In Kubernetes infrastructure monitoring, new columns and meaningful colors enhance data visualization, while schemaless metrics now display correctly under management zones. The update also brings changes to Extensions 2.0 schema and increases the limits for unified analysis, alongside improved full-trace mechanisms and Node.js thread analysis in apps and microservices. Additionally, a new frequency filter for synthetic monitoring and extra DQL functions enhance digital experience monitoring and query capabilities, respectively. The orchestration project menu has been relocated to the Releases page for cloud automation purposes. The release resolves several issues, such as display problems with mobile key user actions and performance improvements for monitoring overview pages.

The OneAgent version 1.239 release, first rolled out in April 2022, introduces a range of new features and enhancements across multiple platforms and technologies, including improved support for OpenTelemetry in Java, automatic Real User Monitoring (RUM) injection for ASP.NET Core applications, and new capabilities for Go and Android development environments. This release also outlines changes in support for various operating systems, such as the end of support for specific versions of JBoss Application Server, Node.js, and several Linux distributions, with future phase-outs planned for Amazon Linux, Debian, and Windows platforms. Notable updates include performance improvements in log monitoring, enhanced stability for the OneAgent .NET module, and various resolved issues across components like NGINX, PHP, and IIB, with significant attention to security vulnerabilities and input validation. Additionally, mobile and JavaScript OneAgent components have seen specific improvements, such as better compatibility and stability features for iOS and Android applications, as well as fixes for JavaScript Proxy API issues.

SAP's expansive application landscape supports digital transformation for approximately 263,000 companies globally, necessitating comprehensive performance insights across IT environments. Performance management solutions must address the entire SAP technology portfolio, including on-premise, cloud, and various delivery models like IaaS, PaaS, and SaaS, while also supporting technologies from ABAP to HANA. Dynatrace emerges as a key player in this space, providing a comprehensive software intelligence platform that monitors, analyzes, and enhances customer experiences across SAP applications, including SAP C/4HANA and SAP Cloud Platform. It is recognized as the sole performance management product in the SAP App Center, chosen for observability and monitoring in SAP Commerce Cloud. Dynatrace offers AI-powered insights in cloud-native and hybrid environments, optimizing user experiences and business impacts of digital engagements. It also features an extension for SAP ABAP to monitor performance and user experiences on ECC and S/4HANA platforms. Users interested in extending Dynatrace's capabilities for SAP monitoring can engage with product specialists for guidance and resources.

Private Synthetic locations in Dynatrace enable monitoring of internal applications within a private network infrastructure, often necessitating proxy configurations. As of Dynatrace and ActiveGate versions 1.183, private browser monitors support Proxy Auto-Configuration (PAC) files, which are JavaScript functions that determine the routing of web browser requests either directly or via a proxy server. To implement PAC files, users can provide them through script mode for single-URL browser monitors and browser clickpaths by specifying the "pacUrl" in the configuration object of a JSON file. This feature is specific to private synthetic locations and overrides any existing proxy settings at the ActiveGate level, with the PAC file requiring hosting via HTTP/S. Detailed guidance for configuring a proxy for Dynatrace private synthetic monitoring is available in the Dynatrace Help documentation.

Dynatrace has introduced dashboard subscriptions and scheduled reports as part of its Early Adopter release with version 1.184, simplifying the process of turning powerful dashboards into custom reports. Users can easily create these reports from dashboards, which support various chart visualizations and tiles, offering insights into metric performance and user session monitoring data. Dashboards can be subscribed to for scheduled reports, with current options for weekly and monthly deliveries, and future plans include daily and custom schedules. Reports are delivered via email with public links, enabling easy access and sharing, even with colleagues without Dynatrace access. Users must have a valid email associated with their Dynatrace user ID and a configured SMTP server for report delivery. Changes to dashboards automatically update reports, while deleted dashboards render reports inaccessible. Dynatrace plans to enhance charting and dashboarding capabilities further, responding to user demands for comprehensive reporting solutions.

Dynatrace has announced the general availability of their SAP ABAP real user monitoring extension, which provides insights into SAP application and transaction performance, making it easier for non-SAP Operations engineers to understand and address performance issues. The extension offers real user experience monitoring for SAP ECC and S/4HANA, enabling users to identify and resolve performance incidents quickly by reporting on every SAP T-code execution. This allows for better collaboration between SAP Basis teams and Operations engineers by providing a common understanding of performance issues. The tool helps in assessing problem impacts, focusing on pressing issues, troubleshooting individual user sessions, and understanding the root causes of degraded response times. Dynatrace's solution is non-intrusive, easy to set up, and provides immediate access to performance indicators without requiring SAP server instrumentation. Additionally, the extension supports Citrix real user monitoring, allowing for comprehensive performance measurement of both the SAP application and its delivery channel. The extension is fully supported by Dynatrace and can be installed on an ActiveGate, with remote access to the SAP ABAP server as a prerequisite.

Dynatrace is implementing a configuration change that involves adding new public IP addresses to enhance the delivery of alerts from its SaaS platform, which is critical for monitoring web applications. This change, effective in the first week of March 2020, requires users to update their firewall rules by adding these new IP addresses to their allow list to prevent incoming alerts from being blocked. The update affects all users who have configured any alerting channels other than email and is communicated through in-product notifications, representative communications, and release notes. Failure to adjust the firewall configuration as instructed could result in an alert outage, impacting the timely response to performance issues detected by Dynatrace.

The concept of intellectual debt is explored through the lens of machine learning systems versus the AI-driven Dynatrace platform, highlighting how the former can contribute to a gap in understanding due to their reliance on statistical correlations without identifying cause and effect. Intellectual debt accrues similarly to technical debt, often resulting from sub-optimal decisions driven by pressure, biases, and market confusion, especially in the context of choosing IT monitoring solutions. Machine learning systems necessitate training and work best with static data sets, whereas the Dynatrace AI, Davis, employs deterministic analysis to pinpoint the root cause without requiring training, offering real-time insights and clear explanations to prevent intellectual debt. The text suggests that moving towards autonomous IT operations and a NoOps model is essential for businesses to remain competitive in increasingly dynamic digital environments, as machine learning's limitations in precision and causality understanding can impede progress towards full automation.

Citrix is a robust application delivery platform that facilitates the distribution of enterprise applications to numerous users, necessitating comprehensive monitoring across infrastructure health, platform performance, and real user experience. Dynatrace, with its AI-powered full-stack software intelligence platform, enhances Citrix monitoring by providing in-depth insights into Citrix user experience and platform performance. The Citrix monitoring extension for Dynatrace includes features such as real user session tracking, SAP ABAP platform load analysis, and synthetic monitoring of Citrix login availability. OneAgent and Dynatrace extensions deliver metrics on Citrix infrastructure and user processes, helping to identify performance bottlenecks and optimize server sizing based on user load and screen latency. Dynatrace's integration allows for the measurement of application launch times and screen latency, crucial for understanding the real user experience within Citrix environments. While Dynatrace does not aim to replace existing Citrix management solutions, it offers a holistic view of the application delivery chain, aiding in the identification of infrastructure bottlenecks and differentiating between application performance and delivery performance. A free 15-day trial of Dynatrace is available for those interested in enhancing their Citrix monitoring capabilities.

Dynatrace has expanded its audit logs feature to Dynatrace SaaS customers with the release of version 1.183, allowing both SaaS and Managed customers to track configuration changes and security-relevant events via a new REST API. This enhancement supports transparency and traceability, enabling users to access, download, and filter logs of login, logout, configuration changes, and API token updates in JSON format. Each audit event contains detailed properties such as event type, user information, and timestamps. While audit logs are retained for 30 days, users can set up automated processes to store logs for longer durations to meet compliance standards. Feedback on the new environment Audit logs API is encouraged through the Dynatrace user forum.

The Dynatrace Managed version 1.184 release introduces several new features and enhancements aimed at improving user experience and operational efficiency. Notably, the release includes support for Proxy Auto-Configuration (PAC) files in private browser monitors to simplify complex proxy configurations, and a new Audit logs API to enhance transparency and traceability of configuration changes. Session Replay has been developed with data privacy in mind, aligning with regulations such as GDPR, CCPA, and LGPD, while dashboard subscriptions and scheduled reports have been introduced as part of an Early Adopter release to facilitate effective monitoring. Additionally, new public IP addresses have been added to ensure reliable alert notifications, and cluster management has been improved with REST API endpoints that aid in automation and scaling operations. The release also introduces a new Environments REST endpoint to streamline the provisioning of Dynatrace environments, allowing for configuration-as-code and enhanced scalability. The update includes various bug fixes across different components, ensuring a more reliable and efficient user experience.

Cloud migration signifies a fundamental shift in how applications and infrastructure are built, delivered, and operated, necessitating a change in infrastructure monitoring approaches. Traditional methods focused on metrics and alerts are insufficient for dynamic, hybrid, multi-cloud environments. Instead, tools like Dynatrace emphasize automation, ease of deployment, and providing actionable insights rather than raw data. Dynatrace's platform uses a single agent to offer full-stack or infrastructure-specific monitoring, with its AI engine, Davis, delivering precise problem identification and context-rich analysis, bypassing mere correlation to determine causation. This approach integrates seamlessly into enterprise ecosystems, supporting automation and facilitating a transition towards NoOps and self-driving IT environments.

Intellectual debt, defined as the gap between functional solutions and the understanding of why they work, is a growing concern in the realm of machine learning and IT operations. Unlike technical debt, which involves known solutions with delayed implementations, intellectual debt arises from applying solutions without fully understanding their mechanisms, thus potentially stifling innovation and efficiency. The text highlights how machine learning, despite its efficiency gains, can exacerbate intellectual debt by providing answers without clear explanations, leading to complacency and a superficial approach to problem-solving. This debt accumulates as teams shift focus from in-depth analysis to relying on machine learning systems, risking a loss of tribal knowledge and analytical skills. Furthermore, the text warns against the potential for machine learning systems to misfire due to spurious correlations, and the difficulty in validating their outputs, especially as organizations move from pilot projects to full production environments. It underscores the importance of maintaining a balance between leveraging machine learning for efficiency and ensuring a deep understanding of the underlying logic to avoid becoming overly dependent on these systems.

Dynatrace OneAgent 1.183 introduces several updates and support changes across various technologies and operating systems. It adds support for Node.js 13, grpc-js, Memcached, MongoDB PHP for Windows, and phpredis, while marking the last version to support IBM WebSphere Application Server 8.0 for Java. Significant operating system support changes are announced, with future discontinuation dates for certain Linux and Windows versions, including Amazon Linux 2 and Windows Server 2012 R2, among others. Notably, the release resolves 43 issues across different components, improving functionality in areas like .NET, PHP, and JavaScript, among others. The update also includes enhancements in cloud platform support, such as Azure and Kubernetes, and introduces early adopter releases for features like .NET Azure Functions and PHP Redis monitoring. Additionally, the release highlights the transition from GET parameters to HTTP headers for improved security and mentions the migration to the Red Hat UBI image for Red Hat OpenShift.

Dynatrace's SaaS release version 1.257 introduces several enhancements, including improved log management and analytics capabilities powered by Grail, which now covers the entire log data lifecycle from ingestion to analysis. The update includes improved metric browsing in Data Explorer, with favorited metrics appearing at the top of the list. Two deprecated metrics for mobile and custom apps have been replaced, and SSL certificate verification for HTTP monitors is now more robust. The update also imposes a 90-character limit for blocking requests in browser monitors. Tags are now visible on the OS service page, and Oracle monitoring extensions provide query-level visibility. The ActiveGate installer has been updated to use Adoptium JRE version 11.0.17. Additionally, business event metric extraction introduces custom alert capabilities, and new DQL functions enhance query capabilities. The release also resolves 12 issues across various components, including RUM, clusters, and the user interface, ensuring enhanced performance and reliability.

Dynatrace's SaaS release version 1.255 introduces several new features and enhancements, including vulnerability detection for the .NET common language runtime, a Google Cloud overview page for infrastructure monitoring using a unified analysis framework, and expanded Istio metrics visibility on Kubernetes namespace and workload details pages. Additional features include new DQL functions, a preconfigured dashboard for Adaptive Traffic Management, and changes to default anomaly detection settings. Synthetic Monitoring has been enhanced with new filters for HTTP monitor execution details, custom log messages, key-value metadata for on-demand executions, and the ability to capture screenshots upon success. The release also resolves various issues across application security, cluster management, and synthetic monitoring, ensuring improved system reliability and performance.

The Dynatrace SaaS release version 1.258, which began rollout on January 17, 2023, introduces several enhancements and new features while also addressing various resolved issues. Notably, the Dynatrace Davis Assistant will be discontinued on January 31, 2023, affecting integrations with platforms like Slack and Microsoft Teams. The release includes updates such as the ability to duplicate settings items, improved management-zone rules based on log data, and enhanced vulnerability matching in application security. New alerts for Kubernetes monitoring have been added, covering issues like cluster pod saturation and non-ready pods. Additionally, the release allows for finer control over cloud application and workload detection and offers new functionalities like printing dashboards to PDF from certain browsers and capturing screenshots for on-demand synthetic monitor executions. Resolved issues in this version address vulnerabilities, user interface corrections, and improvements in infrastructure monitoring and application security.

Dynatrace's SaaS release version 1.259, rolled out starting January 31, 2023, includes several updates and enhancements in infrastructure monitoring, particularly for Kubernetes and Azure services, along with the deprecation of the Dynatrace Davis Assistant. Key features introduced include new log dashboard strategies for enhanced observability, a new metric for Kubernetes workload conditions, and improvements in metric performance. Syntax for event field selectors has been refined, and changes to the Dynatrace API are detailed in the release's changelog. The update also resolves 11 issues related to application security, cluster management, and metric ingestion, such as improved robustness of the process group overview page and adjustments to the webhook problem notifications with OAuth 2.0 support. Additionally, management zone handling on Kubernetes pages has been optimized to prevent information overload. Overall, the release aims to enhance monitoring capabilities and resolve existing issues to improve user experience.