May 2022 Summaries

AIOps, or artificial intelligence for IT operations, is gaining traction in enterprises for its ability to preemptively identify and mitigate potential IT slowdowns and outages, thus enhancing DevSecOps efficiency. Lockheed Martin employs a combination of Dynatrace, ServiceNow, and Ansible to automate self-healing IT processes, reducing the response time from hours to minutes. Dynatrace utilizes causation-based AI to detect issues before they escalate, automatically generating tickets in ServiceNow and initiating remediation scripts via Ansible. This integration allows for continuous monitoring and self-healing of systems, enabling engineers to focus on innovation rather than firefighting. A notable application involves automating database management to prevent performance degradation, demonstrating the potential of AIOps to transform IT operations by addressing problems before they impact services.

Dynatrace recently hosted the Amplify Sales Kickoff events across the Americas, EMEA, and Asia-Pacific regions, highlighting the company's strategic direction and advancements in intelligent observability and automation. Key speakers included Michael Allen, VP of Worldwide Partners, who discussed the importance of digital transformation and AIOps, and CEO Rick McConnell, who emphasized the critical role of partners in Dynatrace's growth strategy. The events introduced the new Cloud Solutions Partner Recognition Program, aimed at enhancing partner capabilities with specialization courses in areas like DevSecOps automation. Founder and CTO Bernd Greifeneder explored future industry trends such as data explosion and the convergence of security and observability, underscoring Dynatrace's commitment to delivering flawless digital interactions through sophisticated automation. The event concluded with awards recognizing regional partners and featured breakout sessions for deeper technical insights and live demonstrations of the platform's capabilities.

The RSA 2022 guide highlights the importance of integrating DevSecOps practices to enhance application security and manage runtime vulnerabilities in multicloud environments. As organizations adopt cloud-native technologies, they face increased complexity and vulnerability exposure, necessitating a seamless approach to security. Traditional monitoring struggles to keep pace with the dynamic nature of modern IT environments, leading to blind spots that can threaten sensitive data. Automation and software intelligence, such as AIOps, are critical in addressing these challenges by enabling real-time observability and vulnerability management. The guide emphasizes the need for a modern approach to security that incorporates continual automation and AI to identify and remediate vulnerabilities more efficiently. Notable vulnerabilities like Log4Shell and Spring4Shell serve as reminders of the importance of proactive security measures. The guide underscores the role of DevSecOps in uniting development, security, and operations teams to create more secure software, with a focus on automation to ensure security without compromising speed and innovation.

The debate between microservices and monolithic architecture revolves around their distinct approaches to software development and deployment. Monolithic architecture involves building applications as single, unified units, making them simpler initially but more challenging to update and scale as they grow. Conversely, microservices architecture breaks down applications into independent services, enhancing flexibility, scalability, and the ability to rapidly develop and deploy new features. This shift is driven by the digital economy's demand for high-quality applications delivered swiftly, often using cloud-native technologies and Agile or DevOps methodologies. While microservices offer benefits such as improved testing, deployment, and fault isolation, they also introduce complexities, particularly in interservice communication and resource management. Tools like Dynatrace support organizations in transitioning to microservices by providing monitoring solutions that offer end-to-end visibility and real-time analytics, aiding in optimizing digital services and scaling efficiently. Ultimately, the choice between these architectures depends on an organization's specific needs, capabilities, and growth plans, with monolithic architectures suiting simpler projects and microservices being more advantageous for scalable, complex applications.

Dynatrace SaaS version 1.243 introduces several updates and enhancements, including the deprecation of the classic User sessions page in favor of a more advanced session segmentation tool and the introduction of a new in-product chat system for seamless user support starting June 21, 2022. This release also brings improved security for user session exports, requiring re-entry of authentication credentials after configuration changes, and limits exports to HTTPS endpoints only, alongside updates to container pages that now utilize a unified analysis framework. A new System notifications page centralizes environment health and licensing alerts, previously shown as banner messages, allowing for better space management and notification tracking. Additional enhancements include updates to Kubernetes monitoring, a new Service Level Objective (SLO) wizard, service failure detection settings now available in a new format and usable in security policies, and various API changes. The release resolves a total of 17 issues across different components, including improvements to cluster metrics, error messaging, and notification handling, with cumulative updates addressing further specific issues.

Dynatrace, along with a consortium including GitLab, LaunchDarkly, and Split, has proposed OpenFeature, a new open standard for feature flagging, to the Cloud Native Computing Foundation (CNCF) as a sandbox project. This initiative aims to create a vendor-neutral and flexible framework for feature flag management, which is crucial for modern software delivery in cloud-native environments. Feature flags allow product and SRE teams to modify application functionality at runtime without deploying new code, aiding in quick issue mitigation and facilitating A/B testing. OpenFeature seeks to overcome the challenges posed by proprietary SDKs by providing a language-agnostic standard that includes specification-compliant SDKs in various languages such as Java, Node, Golang, and .NET. The architecture introduces providers, evaluation contexts, and hooks to enhance flexibility, allowing integration with existing feature flag management systems or custom-built solutions. Dynatrace's involvement will ensure the integration of OpenFeature into its platform, promoting intelligent automation of feature flagging at scale. The project is under development, with its specification nearing an alpha release, and aims for general availability by Fall 2022.

Enterprises are increasingly focusing on service-level objectives (SLOs) to enhance system availability and resilience, as demonstrated by Dynatrace customers who have shared their experiences in implementing SLO management to support business demands. SLOs form part of a broader framework that includes service-level agreements (SLAs), service-level indicators (SLIs), and error budgets, with each element playing a crucial role in tracking and maintaining service levels. However, many organizations face challenges in understanding and applying SLOs effectively, leading to common issues such as misunderstanding timeframes and ownership when violations occur. Examples from a multinational software corporation and a Greek communication technology company illustrate different approaches to SLO management; the former embraced Google's "Four Golden Signals" to standardize its SRE dashboards, while the latter focused on mapping key user journeys to improve IT prioritization and customer experience. Both examples highlight the importance of aligning internal and external stakeholders, choosing appropriate SLIs, and continuously learning to improve SLO management. These insights underscore the potential benefits of using tools like Dynatrace to establish, monitor, and optimize service-level management practices.

The financial services industry experienced rapid transformation during the COVID-19 pandemic, as customer preferences shifted towards digital platforms, prompting companies to prioritize customer experience over traditional banking locations. This change led to a rise in the use of business observability practices, enabling financial institutions to align IT operations with business objectives effectively. One commercial bank addressed customer complaints and operational challenges by focusing on key performance indicators (KPIs) relevant to user journeys, while an asset management company improved its response to customer feedback through enhanced collaboration between its operations and omnichannel teams. By leveraging tools like Dynatrace RUM for session tracking, both institutions were able to better identify and resolve user experience issues, ultimately enhancing customer satisfaction and aligning IT metrics with business outcomes.

Dynatrace has expanded its support for the OpenTelemetry specification to include comprehensive metrics capabilities across all runtimes, enabling large-scale deployment in extensive enterprise environments. Following the stabilization of the OpenTelemetry spec for traces, the focus has shifted to metrics, with most components now ready for use after an announcement at KubeCon Europe. This development is expected to facilitate faster adoption by developers and provide significant value to SRE and DevOps teams by enhancing deployment stability and security. Dynatrace's platform allows for seamless data capture, storage, and analysis of OpenTelemetry metrics via the OpenTelemetry collector and Dynatrace Metrics API, offering features like automated baselining, anomaly detection, and enriched metadata integration. The platform's intelligent automation capabilities help prevent alert storms and simplify metric exploration, while Dynatrace continues to collaborate with the OpenTelemetry community to further improve the robustness and usability of these metrics. Users interested in exploring these new capabilities can start with a Dynatrace free trial and access additional resources through their documentation and webinars.

Dynatrace's Cloud Native Full Stack injection for Kubernetes introduces a new level of flexibility and automation for AI-powered observability, offering an alternative to the traditional Classic Full Stack injection. This innovation caters to large enterprises by enabling rapid onboarding of teams through namespace selectors and facilitating the segmentation of observability data across multiple Dynatrace environments. It addresses common challenges like race conditions in Kubernetes node autoscaling through a mutating webhook pod, ensuring robust monitoring without disruptions. By leveraging Kubernetes standards, organizations can independently manage metrics, logs, and traces without extensive intervention, streamlining operations and enhancing agility. The solution supports compliance and privacy needs by allowing data to be split between different environments, and it simplifies deployments using standard Kubernetes commands. As Dynatrace continues to innovate, this foundation paves the way for future enhancements in Kubernetes observability, promising continued improvements in automated alerting and container management.

Dynatrace is enhancing its customer experience program, Dynatrace ONE, to align with its vision of "a world where software works perfectly," by integrating a new in-product chat widget that streamlines customer support interactions. This initiative is part of a broader multi-phased plan aimed at transforming customer engagement by removing traditional silos between support and success teams. The new chat feature allows customers to directly interact with technical experts without leaving the Dynatrace interface, reducing response times and increasing efficiency, with real-time conversations resolving issues 50% faster and earning high satisfaction ratings. The widget, set to launch with Dynatrace version 1.242, will automatically transition existing chats into support cases and offer new features like secure file uploads and automatic translation, while maintaining previous functionalities. By unifying its support technologies and enhancing personalization and automation, Dynatrace aims to facilitate seamless collaboration and improve the overall customer experience.

Cloud migration introduces significant complexity, necessitating an effective observability platform like Dynatrace to ensure a smooth transition of IT infrastructure and applications. Dynatrace supports cloud migration strategies by offering real-time visualization of environment topologies, which helps IT teams adjust service architectures and identify performance issues through features like Smartscape and causal AI. The migration process generally follows three stages: assessment and discovery, mobilization and planning, and migration and modernization, during which Dynatrace aids in performance monitoring and optimization. It also facilitates right-sizing infrastructure to minimize costs and provides comprehensive monitoring through its OneAgent operator, especially in Kubernetes environments. Moreover, Dynatrace's AI-driven causation engine reduces operational alerts by automatically detecting performance anomalies and pinpointing root causes, thereby enhancing operational excellence in the cloud.

Dynatrace's SaaS release notes for version 1.242, published on May 6, 2022, detail several key updates, including the deprecation of the classic User sessions page and Tokens API v1, with recommendations to transition to newer versions. Enhanced OneAgent feature settings now allow management via the Settings API, and changes in the Davis problems indicator aim to distinguish it from future security indicators. The release also introduces improvements in frequent issue detection by including disk events in the frequency baseline, while adjustments to the maximum user actions per minute can be configured through the Dynatrace web UI. Additionally, Dynatrace has ended support for beacon protocol versions 1 and 2, and updated Log Monitoring with the Dynatrace Pattern Language for better log data processing. The release includes 26 resolved issues across various components, including fixes for Kubernetes workload charts, user session exports, and mobile app configurations, as well as an upgrade to the jackson-databind library to address a vulnerability. These updates reflect Dynatrace's ongoing commitment to improving functionality, security, and user experience within its platform.

The Dynatrace Managed release version 1.242, published on May 6, 2022, introduces several updates and enhancements, including an increased limit of 50,000 user actions per minute for new environments and the availability of Application Security on Dynatrace Premium High Availability clusters. The release also supports new operating systems such as Red Hat Enterprise Linux 8.6, Oracle Linux 8.6, and Ubuntu 22.04, while announcing plans to discontinue support for certain Linux versions by 2026. It addresses a range of resolved issues across various components, including improvements to the Cluster Management Console, Application Security, and infrastructure monitoring solutions. The updates include fixes for application security vulnerabilities, cloud automation, and cluster management functionalities, with cumulative updates ensuring all previous issues in the 1.242 release are resolved.

Cloud observability has become crucial as organizations increasingly adopt multicloud strategies, leading to a rise in complexity that many are addressing with AIOps and automation technologies. These tools help IT professionals manage issues and reduce false alerts, but their effectiveness varies widely due to the broad nature of AI and automation solutions. During Dynatrace's 2022 Perform event, discussions highlighted the challenges of traditional observability methods, which rely on statistical correlation, in keeping up with the demands of cloud-native environments. Instead, deterministic AIOps, which use causal analysis, offer a more precise approach by identifying root causes based on real-time system behavior. This method provides better context and allows for automation across various operational pipelines, enhancing efficiency from development to security operations. The event underscored the importance of AIOps in delivering clarity and automation, ultimately improving operational efficiency across multicloud platforms.

As organizations increasingly adopt cloud-native applications, they encounter various complexities and observability challenges that are explored in the ESG Cloud-native Applications report. This report highlights the growing dominance of cloud-native technologies in IT as DevOps teams strive to enhance functionality, speed, and security in software delivery. Despite facing challenges such as application security, compliance, and inadequate monitoring, organizations recognize the significant advantages cloud-native applications offer, such as deployment efficiency, early issue resolution, and improved collaboration. The survey of 387 North American IT professionals reveals that many businesses host most of their production applications in cloud environments and plan to expand their use of cloud-native technologies. Application portability and hybrid cloud integration are crucial, as organizations aim for seamless operation across various platforms. The report underscores the importance of cross-team collaboration and external professional services to enhance cloud-native strategies, while solutions like the Dynatrace platform offer automated monitoring and security insights to address these challenges, supporting agile methodologies and frequent software releases.

In the evolving landscape of customer experience management, IT monitoring professionals and business analytics teams must collaborate to enhance the customer journey and drive better business outcomes. With a customer-centered mindset proving to be significantly more profitable, organizations like Dynatrace emphasize the importance of aligning IT metrics with business goals to optimize digital experiences. This involves conducting business impact analyses to understand application goals, user demographics, and conversion metrics. By integrating tools like Adobe Analytics with Dynatrace's Real User Monitoring, businesses can gain comprehensive insights into user interactions and errors in the customer journey. The use of APIs to incorporate external data sources, such as Voice of the Customer feedback, allows for instant analysis and response to user experiences. This collaborative approach between IT and business teams enhances visibility into performance issues and aligns digital strategies with business objectives, ultimately resulting in a more seamless and satisfying customer experience.

Digital Experience Management (DEM) plays a crucial role in helping companies deliver seamless omnichannel user experiences by employing an AIOps platform approach, as discussed during the Dynatrace Perform 2022 session. Experts like Steve Amos from Vitality and Seth Voorhies from Dynatrace highlighted how DEM can provide actionable insights rather than just data, which is vital for ensuring user satisfaction and business success. With 65% of businesses reporting increased mobile engagement, tools like Dynatrace DEM offer end-to-end visibility into user behavior, enabling companies to address issues such as mobile app crashes or slow load times effectively. For Vitality, a leading insurance and investment provider, DEM begins at the development stage with synthetic monitoring to set benchmarks and progresses through stages such as Real User Monitoring and Session Replay to ensure robust user experience. This comprehensive approach helps Vitality create proactive strategies, like their "Cinema Experience" dashboard, to address user frustrations promptly and maintain high customer satisfaction. The session emphasizes starting small with synthetic monitoring or RUM, building a performance-focused culture, and leveraging baselines to continuously improve the user experience.