September 2021 Summaries

In a recent event, 53 Dynatrace developers participated in their first AWS GameDay challenge, a gamified learning experience moderated by Amazon that aims to enhance their skills in AWS services and cloud computing. As an AWS Advanced Technology Partner, Dynatrace utilized this opportunity to help its developers advance their AWS certification paths, which are increasingly valuable in the tech industry for career advancement. The event saw participants divided into teams to tackle real-world technical challenges, fostering both individual and collaborative skills development. AWS certifications, which are divided into Core and Specialty categories, are instrumental in equipping IT professionals with cloud expertise, improving job performance, and enhancing career prospects. The event's success has prompted Dynatrace to plan additional GameDays, highlighting the importance of continuous learning and AWS certification in maintaining high standards of efficiency and performance in cloud-based solutions. Participants such as George Teodorescu and Joseph Nguyen shared personal success stories, demonstrating the tangible benefits of AWS certifications in both personal and professional contexts.

The establishment of a DevOps practice involves setting up essential metrics and key performance indicators (KPIs) to ensure that DevOps processes, pipelines, and tools achieve their intended outcomes of delivering high-quality software more rapidly. Key metrics, particularly those identified by Google's DevOps Research and Assessment (DORA) team, such as deployment frequency, lead time for changes, change failure rate, and mean time to restore (MTTR), help gauge DevOps team performance and efficiency. Additional KPIs, like defect escape rate, mean time to detect, and application availability, further aid in optimizing development practices. The integration of automated testing, observability, and AI-driven solutions like Dynatrace can enhance these processes by providing comprehensive insights across multi-cloud environments, ultimately improving system reliability, stability, and user experience. For effective deployment, continuous monitoring and analysis of these metrics are crucial, allowing teams to adapt and improve their workflows to meet organizational goals.

Dynatrace Managed release version 1.228 introduces several enhancements and resolves numerous issues to improve functionality and security across its platform. Key updates include the removal of deprecated endpoints in favor of more efficient alternatives, improved navigation for Kubernetes cluster details, and an updated OpenSSL library for increased security. The release also features a new User Sessions Query Language function for better data analysis and introduces feedback options for users to enhance problem analysis. In terms of operating system support, there's a phase-out plan for certain Linux versions, with specific dates outlined for the cessation of support. Significant resolved issues focus on improving cluster performance, addressing vulnerabilities related to the Log4j library, and refining user interface elements to enhance user experience. The updates ensure better baselining alert sensitivity and optimized session storage, along with addressing permission handling and configuration visibility issues.

Dynatrace has achieved the Federal Information Processing Standard Publication 140-2 (FIPS 140-2) certification from the U.S. National Institute of Standards and Technology (NIST), validating the cryptography within its Software Intelligence Platform for meeting stringent data security standards essential for government agencies. This certification underscores Dynatrace's role in aiding U.S. and international government entities to fulfill security mandates and expedite digital transformation initiatives securely. The FIPS 140-2 standard is a procurement requirement for U.S. government solutions using cryptography and is globally recognized as a benchmark for cryptographic security. This accomplishment adds to Dynatrace’s portfolio of federal achievements, which include its FedRAMP Moderate impact level authorization and AWS Government Competency status, as well as collaborations with entities like the State of Minnesota and the U.S. Department of Veterans Affairs. Public Sector CTO Willie Hicks expressed pride in the certification and commitment to maintaining high data privacy and security standards, with plans to pursue FIPS 140-3 certification in the future.

Application Performance Management (APM) encompasses monitoring and managing application performance to preemptively address issues that might affect user experience, with a focus on both application performance monitoring (tracking specific metrics) and application performance management (strategizing for performance optimization). As application environments grow increasingly complex with the adoption of cloud-native technologies and microservices, organizations often start with APM tools that target specific performance aspects before progressing to comprehensive APM platforms that integrate AI and automation for holistic analysis. Advanced APM platforms offer technical benefits like increased application stability and optimized infrastructure usage, alongside business advantages such as reduced operational costs, higher productivity, and enhanced innovation capabilities. By providing a unified view of application environments, APM platforms facilitate cross-functional collaboration, improve employee satisfaction, and ultimately, enable organizations to deliver superior user experiences and maintain a competitive edge in a dynamic market.

The OneAgent version 1.225 release, published on September 20, 2021, introduced several updates and bug fixes across various components, including Java, .NET, Go, and mobile platforms. Key updates include the SHA-2 signed installers for Windows 2008 R2, expanded support for multiple Java versions, and improved tracing for Spring Kafka-based message producers and consumers. Enhancements were made for OpenTelemetry interoperability on z/OS and support changes were announced, affecting future compatibility with certain operating systems and technologies. The release also resolved numerous issues, such as fixing bugs related to memory leaks on iOS, improving Kubernetes detection, and addressing problems with OneAgent's diagnostic archive collection on Linux systems. The update provided cumulative improvements, ensuring increased stability and performance across the OneAgent platform.

Dynatrace has unveiled an enhanced User sessions page that provides a streamlined and intuitive workflow for visualizing user session data across applications, aiming to improve user experience by identifying frustration points, errors, and conversion rates. The update offers new page layouts and functionalities, including quick searches, filters, and segmentation, allowing users to efficiently access relevant session details, such as navigation paths and error occurrences. The page includes use cases for proactive checks, enabling application owners to monitor traffic and user satisfaction, and facilitating targeted analysis with high-level insights and refined filtering options. The updated filters allow for detailed session searches based on user actions, error types, and screen resolution, enhancing the capability to address user issues effectively. Dynatrace encourages users to explore the redesigned page and provide feedback, emphasizing the ongoing development of user session navigation tools.

The newly enhanced Dynatrace Extensions 2.0 framework introduces significant advancements in monitoring Windows hosts and services, allowing for agentless monitoring through the Windows Management Instrumentation (WMI) protocol. This development facilitates the collection of comprehensive data from Windows environments, providing insights into CPU, memory usage, network interfaces, and more, while enabling the monitoring of applications like Active Directory and Microsoft Exchange. With customizable extensions, users can adapt the framework to meet specific needs, ensuring detailed analysis and improved visibility into complex environments. The framework's capabilities, such as declarative topology definitions and robust alerting rules, are designed to enhance problem detection and resolution. Dynatrace's commitment to user feedback is evident in its ongoing efforts to refine these tools and expand their application, promising further enhancements in areas like Windows event reporting and log monitoring integration.

Prometheus, an open-source monitoring and alerting toolkit, plays a crucial role in cloud-native environments, particularly within Kubernetes, by collecting and storing metrics in a time-series database. It utilizes a variety of community and vendor-built exporters to gather metrics from diverse sources such as hardware, databases, messaging systems, and storage solutions. Despite its robust capabilities, Prometheus faces limitations in security, access control, scalability, and global visibility. Security is not default, requiring workarounds for TLS and authentication; access is open to all users by default, and scalability is restricted to vertical rather than horizontal scaling. To overcome these constraints, solutions like Thanos and Dynatrace's k8s operator enhance Prometheus by addressing security and scalability issues and integrating metrics with logs and traces for better context. Dynatrace, in particular, offers a method to automatically collect metrics, reduce server workload, and secure data without disrupting existing Kubernetes operations.

Dynatrace has acquired SpectX, a company specializing in high-speed parsing and query analytics, to enhance its ability to manage the vast data volumes generated by modern cloud environments. This acquisition aims to address the growing need for continuous analytics within dynamic, hybrid, multicloud landscapes, where real-time data analysis is crucial for maintaining the performance and security of digital services. The integration of SpectX's capabilities into the Dynatrace platform merges observability with security, allowing for more informed decision-making and automated workflow efficiencies. By incorporating SpectX's advanced analytics and leveraging its talented team, Dynatrace seeks to further its innovation and maintain its position as a leader in observability for cloud operations, ultimately providing greater differentiation and value for its customers.

Distributed traces provide crucial insights into the end-to-end execution paths of application requests, aiding developers and architects in ensuring their code interacts correctly with various service versions. By integrating observability platforms with development tools, engineers can easily analyze these traces during testing to verify backend service calls and other critical interactions. In environments with numerous microservices, capturing millions of traces demands automated analysis to address questions related to service versions and their impacts on system performance. Dynatrace’s PurePath technology automates this process by capturing version information and offering real-time analysis, which is essential for DevOps and SRE teams to make informed decisions about service deployments and updates. Through examples and demos, Dynatrace demonstrates the ability to detect issues such as regressions and anomalies across different service versions, emphasizing the need for automated tools to handle the vast amounts of data generated by modern distributed systems. This capability not only aids in improving release decisions but also highlights the value of using Dynatrace's automated solutions for efficient and accurate system monitoring.