October 2023 Summaries

Runtime security vulnerabilities pose significant risks and costs to organizations, particularly when discovered in customer-facing environments, as illustrated by an international oil and gas company operating on a large scale. This company faced challenges in managing these vulnerabilities due to their expansive AWS infrastructure and disparate security tools, which hindered the establishment of standardized security protocols. To address these issues, the company leveraged Dynatrace's capabilities to gain a consolidated and holistic view of their applications, integrating performance and security insights. This approach enabled proactive identification and prioritization of vulnerabilities before release, enhancing their ability to accelerate deployment cycles while maintaining security and quality standards. The unified observability offered by Dynatrace has allowed the company to focus more on innovation and customer satisfaction, demonstrating how cloud complexities can be simplified through integrated solutions.

The cybersecurity industry is grappling with a talent shortage, with a reported 3.5 million global vacancies, prompting chief information security officers (CISOs) to consider automation and artificial intelligence (AI) as potential solutions. At the Billington Cybersecurity Summit, experts from both government and private sectors, including representatives from the U.S. Department of Energy, Department of Defense, Darktrace Federal, and Forgepoint Capital, discussed strategies to balance technology integration with workforce retention. They emphasized the importance of aligning AI and automation tools with mission requirements and the needs of the workforce, rather than viewing these technologies as replacements. The panelists also highlighted the necessity of training and assigning roles based on individuals' proficiency levels to address complex cyber threats effectively. Furthermore, they underscored the potential benefits of AI and automation in improving security operations, citing research from IBM that shows significant reductions in breach detection times and costs. Ultimately, the summit conveyed that fostering collaboration between human expertise and technological advancements is key to enhancing cybersecurity defenses.

A major European financial services company significantly improved its vulnerability remediation process by adopting Dynatrace Application Security, addressing the challenges of handling numerous vulnerability alerts and manual procedures. Previously spending nearly 100 hours on each remediation issue, the company faced critical delays due to the lack of automation and fragmented security tools, which were further complicated by their rapid adoption of AWS cloud-native services. By integrating Dynatrace into their AWS environment, they automated security checks, prioritized vulnerabilities, and significantly reduced the time required to block attacks on critical applications from hours to mere minutes. This transition to automated processes not only bolstered their application security but also enabled the company to release secure applications more efficiently and confidently, ultimately saving time, money, and resources.

Dynatrace Managed version 1.278 introduces several updates and enhancements, including expanded support for Red Hat Enterprise Linux 8.x and 9.x, and changes to remote/multi-environment dashboard configurations for increased security. The release adds new features such as displaying Kubernetes service UIDs and updating ActiveGate installers to JRE 11.0.20.1 for improved performance and security. Additionally, problem management logic has been refined, names in Log Monitoring settings have been updated, and users can now perform bulk actions on external tracking links. The release also includes a series of resolved issues affecting various components like chat, cluster, and session replay, alongside changes to operating systems support, with some versions no longer supported starting November 2023.

As digital transformation accelerates, platform engineering and DevOps automation have become pivotal for managing the complexities of modern multicloud environments and delivering high-quality software rapidly. Despite the increased demand for innovation, many organizations lack a clear DevOps automation strategy, with 72% of them reporting this gap in the 2023 DevOps Automation Pulse. Platform engineering offers a solution by treating application delivery and operations as a product, which includes self-service infrastructure and tooling to address inefficiencies. Key elements such as GitOps, unified observability, and security as code facilitate seamless integration into the development process, while tools like Dynatrace's AutomationEngine automate quality and security checks, improving release reliability. The focus on FinOps is essential for optimizing cloud costs, allowing real-time cost management and encouraging cost awareness among developers. Predictive AI, like Dynatrace's Davis, anticipates operational issues, reducing performance disruptions, while automated workflows ensure timely resolution of security vulnerabilities. Additionally, real user monitoring and Session Replay enhance customer experience by swiftly pinpointing and addressing backend issues. Dynatrace's platform supports over one hundred platform engineering use cases and customizable solutions, enabling organizations to tailor DevOps automation to their specific needs.

To address the exponential growth of log telemetry data in cloud-native environments, organizations must adopt proactive log management and analytics strategies. This involves consolidating log management tools into a unified observability platform, adopting centralized observability data lakehouses, optimizing log parsing without schemas, and implementing log analytics platforms that facilitate low-cost, high-performance queries. These practices help control costs, improve query performance, and enhance overall log analytics efficiency, enabling organizations to manage vast data volumes effectively and improve response times to incidents. By following these best practices, organizations can unlock significant cost savings and ensure efficient data handling, even amidst the challenges of digital transformation and cloud computing.

Dynatrace has enhanced its mobile app to include Application Security findings, enabling users to monitor third-party vulnerabilities and assess organizational exposure directly from their mobile devices. This update represents a shift from the traditional model, where only security teams had access to application health insights, to a more inclusive approach that allows business and app owners to view real-time security data. The app's new features offer unified access to operational alerts and security insights, empowering users like CISOs and SREs to manage vulnerabilities efficiently from anywhere, even in scenarios like attending meetings or being on-call during personal time. By providing instant access to runtime vulnerability analytics and detailed information about potential threats, the Dynatrace mobile app helps users reduce stress, increase confidence, and maintain control over application security in various situations.

Following the White House's Executive Order on Improving the Nation’s Cybersecurity, federal agencies are actively working towards implementing zero trust principles as outlined in the Federal Zero Trust Strategy, aiming for completion by the end of fiscal year 2024. This initiative was a focal point at the Billington Cybersecurity Summit in Washington, D.C., where experts from both the federal government and industry discussed the nuances of zero trust implementation. Key insights from the discussion include the notion that identity may not be the most crucial pillar of zero trust, as it fundamentally revolves around the principle of "never trust, always verify." Experts emphasized that zero trust is not a standalone solution but should be part of a broader strategy that includes defense-in-depth and cyber resilience. They also stressed the importance of understanding data flows to effectively protect data and highlighted the need for risk assessments to prioritize data protection. Despite the need for safeguarding data, the necessity for sharing information between agencies and partners remains, with zero trust principles guiding secure and controlled access. Additionally, federal agencies are leveraging platforms like Dynatrace for automatic, intelligent observability to monitor and protect data through AI-driven baselines and threat detection.

OneAgent version 1.279, set to begin rollout on November 20, 2023, introduces various enhancements and support updates, including new technology support for JMS 3.0, Spring Webflux 6, and Spring WebFlux WebClient 6. The release resolves numerous issues across components such as General, Mainframe, NGINX, OS module, OpenTracing, Java, and PHP, with improvements like batch publishing for .NET RabbitMQ client and better grouping for SNMP Traps data. A significant change is the cessation of OpenTracing support for Envoy version 1.29 and newer, with a future transition to OpenTelemetry. The update also includes resolved issues for OneAgent on Android, iOS, and JavaScript, such as improved SwiftUI instrumentation and fixes for session replay resource loading problems.

The OneAgent release notes for version 1.281, published on October 23, 2023, detail several updates and changes, including the rollout start on January 9, 2024. It highlights the oldest supported versions under standard and enterprise support, with breaking changes such as the upgrade of the OneAgent SDK for Android to Kotlin 1.9.10, requiring potential adjustments for apps using earlier versions. The release introduces a new technology support version schema, offers new technology support for NGINX Plus R31 and various Node.js versions, and marks the end of support for Red Hat Enterprise Linux CoreOS 4.9. Enhancements include the removal of the CRI-O hook for Kubernetes observability and multiple resolved issues across components like Java, .NET, and Mainframe. Updates also address compatibility issues, memory leaks, and ensure proper reporting and detection in various environments. The release notes also cover updates and resolved issues for OneAgent on iOS and JavaScript, though no user-facing issues were noted in the iOS updates.

The OneAgent version 1.291 release includes updates on supported versions, breaking changes, new technology support, end-of-support announcements, new features, enhancements, and resolved issues. The oldest supported versions under standard support are 1.273 and under Enterprise Success and Support are 1.267. A significant change involves renaming the rx_pid metric dimension to process.pid, affecting infrastructure observability. The release supports major version 5 and its minor and patch versions, while new technology support includes Azure Messaging Service Bus 7+ and Bunyan 1+ log enrichment. Notable enhancements include signature validation for custom extensions and support for the cpuset.cpus cgroups controller, aiding CPU management in Kubernetes environments. Host-level resource attributes dt.cost.costcenter and dt.cost.product can now be set without requiring an agent restart. The release resolves issues across various components, such as improved detection for .NET vulnerabilities, corrected CPU usage metrics, and fixed IO metrics for network shares. Noteworthy updates include fixes for Python and Java-related problems and changes to RUM Mobile settings for iOS.

The OneAgent version 1.289 release, updated on May 17, 2024, introduces a range of new features, enhancements, and resolved issues across various components. This release highlights technology support for specific version ranges, with a focus on Java and infrastructure observability, including improvements in host shutdown detection and a guided installation workflow for z/OSMF. The update also discontinues support for Internet Explorer 11 in RUM JavaScript version 1.293. Numerous bug fixes are featured, such as resolving memory leaks in the logging module, addressing VerifyErrors in Java, and improving detection for Tibco processes on Linux. Furthermore, the release enhances session replay for mobile platforms and JavaScript, optimizing beacon usage and modifying data collection for visually complete metrics.

The OneAgent release version 1.277, updated on July 8, 2024, introduces several technological enhancements and resolves numerous issues to improve performance and compatibility. Key updates include simplified CGI ID calculations in Kubernetes and OpenShift, enabled network disk monitoring on Windows, and the introduction of support for new technologies like .NET 8 and Azure Cosmos DB 3.18+. The release also upgrades the libcurl library to version 8.4.0 to address a specific vulnerability and fixes various issues across multiple modules, including Java, .NET, Node.js, and more. The updates improve the functionality of OneAgent in environments such as Heroku, Linux, and iOS, while addressing performance issues like deadlocks and incorrect process group ID assignments.

The OneAgent 1.285 release, updated as of May 17, 2024, introduces various enhancements and resolves several issues across its modules. It outlines the oldest supported OneAgent versions under standard and enterprise support and provides a detailed schema for technology support, specifying supported versions for major, minor, and patch releases. New technology support has been added for Alpine Linux and WebSphere Liberty, while support for Internet Explorer 11 has been discontinued. Key features include the ability to run custom Python extensions, improved observability for Oracle listener processes, and enhanced session replay capabilities without requiring an agent in the top frame. The release also addresses several technical issues, such as incorrect memory availability charts and log spam in Node.js, and includes cumulative updates for various components like logging, Apache, and OS modules. Additionally, updates for OneAgent for Android and iOS focus on resolving application-specific crashes and improving instrumentation for mobile digital experiences.

Microsoft Hyper-V is a crucial virtualization platform for large IT environments, enabling operating system isolation, server consolidation, and environment testing to enhance scalability and operational efficiency while reducing costs. Despite its advantages, managing Hyper-V presents challenges such as complex virtual networking, resource allocation, and maintaining system health within a virtual environment. Dynatrace addresses these challenges with a new Hyper-V extension that provides comprehensive observability into Hyper-V's virtualization layer, aiding in performance optimization, capacity planning, proactive issue detection, and troubleshooting. This extension offers a complete visibility solution for the Windows ecosystem, allowing IT operations teams to gain deep insights into application performance and infrastructure utilization, thereby ensuring robust and reliable IT infrastructure management.

The OneAgent release notes for version 1.287, updated on May 13, 2024, outline several enhancements, new features, and resolved issues. Key updates include the upgrade of Npcap to version 1.79 for improved security and stability, enhanced detection of host shutdowns, and a change in the process availability settings to allow more configuration options. The release also announces the end of support for Internet Explorer 11 with RUM JavaScript version 1.293. Several issues were resolved across various components such as .NET, Go, Java, Mainframe, Node.js, and Apache, addressing memory usage, sensor crashes, and logging issues. The OneAgent for Android and JavaScript also saw improvements, including fixes for timestamp errors and style recording in the Shadow DOM, respectively. Additionally, the release emphasizes ongoing support for certain major, minor, and patch versions, while dropping support for others, and introduces new technology support for KafkaJS headers in Node.js.

The OneAgent version 1.293 release introduces a range of updates, enhancements, and fixes across various components and platforms, with support for specific versions outlined and older versions being deprecated. Key updates include new technology support for IBM CICS, NGINX, and Software AG WebMethods Integration Server, alongside the deprecation of Puppet for OneAgent installation with a six-month grace period. Enhancements such as Disk Edge alerting configuration options and improvements in timestamp accuracy for business events are highlighted, alongside a series of resolved issues across platforms like .NET, Go, and Apache. The release notes also cover updates for OneAgent on Android and iOS, including the addition of a debug API for iOS, and detail the discontinuation of RUM JavaScript support for Internet Explorer, marking a comprehensive advancement in functionality and compatibility within the OneAgent ecosystem.

Cybersecurity threats have increased by 7% in early 2023, highlighting the importance of robust security measures for organizations. Cybersecurity Awareness Month, a joint initiative between the U.S. government and the IT security sector, aims to raise awareness about cybersecurity's importance, with the 2023 theme being "Secure Our World." This theme encourages individuals and businesses to adopt practices like using strong passwords, enabling multi-factor authentication, recognizing phishing, and updating software. Emphasizing application security, companies are encouraged to implement vulnerability management, DevSecOps automation, and attack detection to enhance their security posture. Tools like Dynatrace are promoted for their AI-driven risk evaluation, real-time vulnerability scanning, and automated defense mechanisms, aligning with the "Secure Our World" initiative by integrating application security and observability data. By adopting these practices, organizations can achieve a resilient security posture and improve productivity and efficiency, ultimately safeguarding their brand, data, and privacy in the face of growing cyber threats.

The blog post explores the concept of Kubernetes Security Context, emphasizing its importance in defining privilege and access controls for pods and containers to enhance cluster security. It highlights various Security Context settings, such as capabilities, privileged, runAsNonRoot, runAsUser, allowPrivilegeEscalation, readOnlyRootFilesystem, and seccomp, providing guidance on best practices, like dropping all unnecessary capabilities and avoiding privileged containers. The post also discusses additional security considerations outside the Security Context, such as hostNetwork, hostPID, hostIPC, AppArmor, resource requests and limits, and the use of hostPath. The blog aims to deepen readers' understanding of Kubernetes security by explaining why these settings are crucial and offers a comprehensive example of a Kubernetes resource definition that incorporates these security best practices.

Organizations are increasingly adopting technologies like AIOps and IT automation to enhance efficiency, reduce costs, and accelerate product delivery in a competitive macroeconomic environment. Companies such as Odigo and BT Group have leveraged these technologies to improve customer experience and streamline operations. Odigo, for instance, transitioned to a cloud-based architecture and utilized the Dynatrace platform to consolidate its tools and gain better visibility into complex customer environments, thereby facilitating proactive issue identification. Similarly, BT Group has embraced IT automation to simplify its processes, reduce costs, and improve customer experiences while significantly decreasing the mean time to remediation (MTTR) for incidents. Both companies have reported improvements in service availability and performance through tool consolidation and integration of automation into their workflows, exemplifying the transformative potential of AIOps in modern IT operations.

In the face of the exponential rise of cloud technologies, an energy company transitioned from an on-premises infrastructure to a cloud-based model using Amazon Web Services (AWS) to enhance scalability and efficiency. This shift was driven by the need to secure critical systems that manage communications with energy-delivering machinery, as their legacy system relied on intermittent static scans that left gaps in security. To address potential vulnerabilities in their hybrid cloud and on-premises environment, the company adopted Dynatrace for end-to-end application observability and runtime security protection. This move allowed the company to implement proactive detection and automated remediation of vulnerabilities, ensuring their services remained secure and resilient. The adoption of cloud-native services like AWS Lambda and EKS became central to their business strategy, enabling them to confidently accelerate their digital transformation and continue innovating in the energy sector.

Synthetic testing is an IT process that simulates real-user behavior within applications to identify and diagnose potential performance issues before they affect actual users. It involves using software to mimic user activities, such as sending multiple resource requests to assess an application's responsiveness and performance under different conditions. This type of testing, also known as continuous or synthetic monitoring, can be conducted in both production and test environments and requires minimal resources, allowing for continuous operation. Unlike real user monitoring (RUM), which measures actual user interactions after deployment, synthetic testing provides insights during the development phase, helping teams to proactively address potential problems. There are three main types of synthetic testing: availability, web performance, and transaction testing, each with specific strengths and applications. Effective synthetic testing requires clearly defined goals, customizable robot clients, and comprehensive tools that simulate user interactions across different platforms. Best practices include reducing setup complexity, prioritizing continuous monitoring, and integrating synthetic testing into a broader observability strategy to ensure complete visibility and context. By combining synthetic testing with real user monitoring, such as the services offered by Dynatrace, organizations can enhance application performance and improve user experience, ultimately driving better business outcomes.

Dynatrace AppEngine empowers users to create custom applications using Dynatrace technology, offering flexibility and a range of possibilities that extend beyond existing product features. The platform is designed to be accessible to both technical and non-technical users, with resources such as the Dynatrace Apps Toolkit, QuickStart videos, and extensive documentation available to facilitate the app development process. It provides customizable UI components and backend functions for integrating third-party APIs and processing data, supported by comprehensive developer documentation and community resources. Users can draw inspiration from sample apps available on GitHub and rely on the Dynatrace Community for support and collaboration. With user-friendly tools and a supportive ecosystem, Dynatrace aims to simplify the app development experience, encouraging even those without advanced development skills to engage and innovate.

Grail™, Dynatrace's causational data lakehouse, provides immediate access to vast amounts of historical data, eliminating the need for data rehydration even during lengthy analyses. It helps enhance data investigations using the Dynatrace Pattern Language (DPL) Architect, which allows users to structure data efficiently by extracting typed fields from unstructured text like logs. This process is executed during query reads, offering flexibility without predefined data structures. DPL enables precise querying, particularly in complex security use cases, by allowing the extraction of specific data patterns, thus minimizing errors associated with simple string filtering. The DPL Architect tool assists users in creating and managing these patterns, providing feedback and facilitating faster analytics by allowing integration of preset patterns for popular technologies or the creation of custom ones. This precision is crucial in security investigations or threat-hunting activities, ensuring reliable results by offering detailed access to data without false positives, especially when dealing with complex log records like AWS CloudTrail logs.

The Dynatrace SaaS release notes for version 1.275, published on October 11, 2023, outline several new features, enhancements, and changes to the platform. Notably, the introduction of Dynatrace EdgeConnect facilitates secure connections between local systems and the Dynatrace analytics platform, addressing automation use cases with internet-restricted systems. The retired Thresholds API functionality has been moved to metric events within the Settings API, and Microsoft has retired certain Azure API Management request metrics, impacting dashboards and alerts based on them. The update also includes extended management zone awareness for risk assessments, new DQL commands, functions, and operators, as well as infrastructure observability improvements for VMware and Kubernetes. Additionally, the release resolves six key issues and provides cumulative updates, ensuring enhanced user experience and functionality across different components of the platform.

EdgeConnect serves as a secure bridge between the Dynatrace analytics platform and third-party systems, facilitating connectivity within protected networks, whether on-premises or in the cloud, without compromising security. It addresses the challenges posed by security policies that restrict internet access, providing a solution for companies with heavy SaaS usage, like Dynatrace, to ensure seamless data interaction and operational efficiency. The tool establishes a WebSocket secure connection to Dynatrace, eliminating the need for opening ports or inbound connections, and supports container-based deployments for flexibility and scalability. EdgeConnect offers features such as HTTP(s) request forwarding, multi-instance high availability, load balancing, and an optional domain allow list, enhancing control and efficiency. It enables various use cases, including automated ticket creation in Jira and data integration from internal warehouses, and is available for Dynatrace SaaS environments version 1.275 and above, with documentation and management tools accessible through the Dynatrace Hub.

The blog series examines how organizations can integrate Dynatrace into their release processes, utilizing Davis® AI for automation to allow Site Reliability Engineering (SRE) teams to focus more on innovation and business objectives. It highlights the critical balance in SRE time allocation between operations management and process improvements, noting the challenges posed by increasing cloud complexity and digital transformation goals that often limit time for project enhancements. The series discusses the importance of integrating observability early in release processes and leveraging Dynatrace for seamless application team integration, enhancing the efficiency of CI/CD pipelines, and reducing manual errors. By implementing chaos engineering and using Davis AI for automated root cause analysis and remediation, organizations can minimize downtime and improve software reliability. This approach empowers SRE teams to reduce operational overhead and prioritize strategic goals, as the series promises to explore further in subsequent posts.

The SimHash algorithm, developed by Moses Charikar in 2002, is designed to generate fingerprints of data sets that maintain similarity, enabling quick estimation of cosine similarity between sets by comparing bitwise similarities of their fingerprints. The algorithm is applicable to any objects that can be represented as sets, such as text, graphs, or GPS routes, and is used in practical applications like website deduplication and web tracking. SimHash operates by calculating a fingerprint through combining hash values of set elements, where each bit in the fingerprint reflects the majority state (set or unset) of corresponding bits in these hash values. FastSimHash, a more efficient variant, reduces the processing steps by simultaneously counting multiple bits, leading to significant performance improvements, especially for larger sets and fingerprints. Benchmarks demonstrate that FastSimHash offers up to a tenfold speed increase over traditional SimHash, owing to its optimized counting method and smaller data structures, which enhance data locality. The open-source Hash4j library provides implementations of both SimHash and FastSimHash, allowing users to explore these techniques and their applications in set similarity measurements.

Dynatrace Grail™, an enterprise-ready data lakehouse, enhances observability by integrating logs, traces, and metrics with AI and offers customizable features like record-level permission policies and custom data buckets for advanced data management. These custom buckets allow organizations to segregate high-volume data for faster query speeds, adjust retention periods to meet business needs, and implement tailored access controls to ensure data security. By utilizing the Grail's features, businesses can optimize data queries, reduce costs, and maintain efficient data handling across different organizational structures. The platform's advanced access management system, including record-level permissions and security context, provides granular control over who can access specific data, facilitating a flexible and scalable approach to data governance. As organizations leverage Grail's capabilities, they can unlock real-time insights and streamline operations, evidenced by successful use cases such as the Bank of Montreal.

Dynatrace Managed version 1.276 introduces a range of updates and enhancements, including support for Red Hat Enterprise Linux 8.x and 9.x clusters, the transition of the Thresholds API functionality to metric events via the Settings API, and the requirement for a minimum ActiveGate version 1.263 to access the latest Kubernetes features. The release also includes new downloadable z/OS modules for mainframe monitoring, expanded operating system support for private Synthetic locations, and improved host settings descriptions. Consistency in alerting profile filters and notification engines across the web UI and REST API has been improved, along with cluster backup validation procedures. Several issues have been resolved, such as improved ActiveGate update reliability, correct linking in Kubernetes event cards, and refined Davis root cause analysis algorithms. Additionally, the update addresses memory usage in metrics queries, UI glitches, and issues with chat features and remote deletions in Multi-DC environments. Future operating system support changes are outlined, with certain Linux versions losing support by December 2025 and January 2026.

Dynatrace has announced a significant update to its Business Analytics solution, introducing a new approach to real-time business observability powered by its Grail data lakehouse and platform technologies. This enhancement allows for the unification, storage, and instant analysis of vast amounts of business data enriched with IT context, providing precise AI-powered insights and automation. The solution aims to bridge the gap between business and IT users by offering real-time visibility into business data, a capability traditionally enjoyed by IT teams but often lacking in business intelligence tools, which typically rely on outdated data. The new approach leverages business events, Grail, and OneAgent to offer deep visibility into application payloads, supporting a wide range of business use cases such as order fulfillment and customer onboarding, while enabling teams to monitor and optimize complex processes. It addresses limitations of previous solutions by eliminating sampling-induced imprecision and enhancing access to critical business data, thus facilitating better collaboration between business and IT teams for informed decision-making. Business events can be sourced from various inputs, including OneAgent, web and mobile RUM sessions, external tools via a public API, and soon, log files, with data processed through the Dynatrace Query Language for exploratory analytics. The updated Business Analytics solution is currently available in select AWS regions, with plans for expansion to Azure in early 2024.

The OneAgent version 1.275 release, initiated on October 4, 2023, includes significant updates across various components, technology support enhancements, and resolutions of existing issues. The release specifies that the oldest supported versions are 1.257 and 1.251, with a detailed schema outlining supported versions for major, minor, and patch levels. New technology support highlights include integrations with Amazon SNS and SQS for .NET and OpenJDK 21 LTS, while support for Red Hat Enterprise Linux CoreOS 4.8 has ended. Notable enhancements involve a minimum glibc version requirement of 2.12 for installation, new z/OS modules for application observability, improved infrastructure observability through features like MicroShift detection and enhanced log path security rules, and expanded tracing capabilities in .NET for AWS SQS/SNS messages. The update also addresses various issues, including security vulnerabilities, compatibility improvements, and error resolutions in components like Java, PHP, .NET, and the OneAgent Installer. Cumulative updates within the release cycle further resolve issues and enhance the reliability and functionality of OneAgent across different platforms and environments.

Organizations are increasingly prioritizing technologies like cloud observability, workflow automation, and artificial intelligence to build business resilience in response to rising uncertainties and disruptions in the post-COVID-19 era. These technologies support operational efficiency, cost reduction, and product innovation, helping companies adapt quickly to changing macroeconomic conditions. Business resilience involves establishing systems and processes that protect against unforeseen shocks while enabling agility, with observability providing real-time insights into complex IT systems, workflow automation enhancing productivity by reducing manual errors, and integrated security managing vulnerabilities effectively. AI, particularly when explainable and transparent, offers additional strategic benefits by allowing organizations to understand and trust the data-driven decisions it facilitates. As enterprises face increasing risks, they are investing heavily in these technologies to ensure they not only withstand disruptions but also leverage them as opportunities for sustainable growth.

Migrating an application from a monolithic to a microservices-based architecture is a complex and time-consuming process but is often necessary to meet modern customer expectations for flexibility and rapid deployment. Monolithic applications, which combine all elements into a single executable, can be challenging to modify and scale, prompting organizations to consider microservices for their independent development and deployment advantages. However, a lift-and-shift approach to the cloud may not suffice, as refactoring for microservices can yield better long-term cost savings and performance. The transition involves understanding the monolithic architecture, incrementally refactoring components, and ensuring that the new microservices are loosely coupled to minimize dependencies. Teams must choose appropriate technologies for each service, factor in security at every stage, and employ end-to-end observability to manage application complexity. Utilizing a unified observability and security platform like Dynatrace can aid in tracking dependencies, monitoring performance, and optimizing user experiences throughout the migration process. This comprehensive approach, supported by automation and intelligent observability, allows for efficient monitoring, adaptation, and scaling of microservices, ultimately enhancing business outcomes.