June 2021 Summaries

Dynatrace provides a proactive solution for Site Reliability Engineering (SRE) teams to maintain high service quality levels by utilizing its AI engine, Davis, which anticipates potential Service-level-objective (SLO) violations in real-time before they exceed thresholds. This approach addresses the challenge many SRE teams face of detecting and responding to degradations early, thereby mitigating the reactive nature of traditional SLO monitoring. Davis not only predicts risks to SLO health but also identifies root causes of potential incidents, saving time during outages. Dynatrace offers predefined SLO templates to simplify the setup process and allows teams to monitor various service aspects, such as mobile app reliability, effortlessly. The system's AI-driven analysis provides a proactive approach to managing SLOs, reducing the need for manual investigations, and allowing for quicker incident resolution and strategic decision-making. With the release of Dynatrace version 1.220, users can explore this proactive SLO impact analysis through a free trial, enhancing their understanding and management of service reliability.

Infrastructure monitoring involves gathering crucial data about IT environments to enhance availability, performance, and resource efficiency, with the ultimate aim of minimizing downtime and maximizing return on investment. As IT landscapes become more complex due to multicloud environments, container-based architecture, and a mix of new and legacy software, organizations face challenges in gaining comprehensive insights, often leading to an overload of monitoring tools rather than clarity. To address these challenges, IT operations (ITOps) teams are encouraged to evolve towards Artificial Intelligence for IT Operations (AIOps), which leverages AI, particularly machine learning and deterministic AI, to automate tasks traditionally performed manually. The transition to AIOps involves assessing current monitoring maturity, automating infrastructure monitoring, and integrating these processes on a single platform to achieve a more unified and efficient monitoring approach. Platforms like Dynatrace facilitate this by providing automated, AI-assisted observability, which not only reduces tool sprawl but also enhances collaboration across various teams, ensuring systems are monitored effectively and efficiently in dynamic, multicloud environments.

Reliability and resiliency in software systems are not achieved merely by adopting modern technology or cloud services but must be ingrained in the architecture of distributed systems, as demonstrated by Dynatrace during an AWS outage in Frankfurt. The incident showcased how Dynatrace's "Architected for Resiliency" approach, with its multi-node, multi-availability zone deployment, enabled automatic traffic redirection and minimized user impact, evidenced by only seven users experiencing issues. This was supported by Dynatrace's Real User Monitoring and Synthetic Monitoring, which detected and addressed disruptions efficiently. The blog emphasizes the importance of designing systems with high availability and resiliency from the outset, alongside continuous monitoring and validation to ensure they operate as intended. It highlights that resilient architecture requires ongoing investment and attention, including training and performance testing, to maintain its effectiveness in dynamic environments.

Observability is a crucial focus for architects and Site Reliability Engineers (SREs) aiming to enhance user experience and system availability through Service Level Objectives (SLOs). The blog, co-authored by Jean-Louis Lormeau from Dynatrace, offers a guide to creating production SLOs, emphasizing continuous service improvement by utilizing multidimensional analysis to detect weak signals and measure performance. It describes a structured training program to help users transition from reactive problem management to proactive service enhancement, akin to athletes striving for peak performance. The process involves setting metrics, visualizing data, and defining competitive Service Level Agreements (SLAs) to prioritize system optimization. The blog highlights the importance of tracking key performance indicators and configuring dashboards to monitor service quality, ultimately aiming to transform users into "Dynatrace optimization athletes" by leveraging SLOs and USQL for ongoing improvement.

The Biden administration's "Executive Order on Improving the Nation’s Cybersecurity" addresses the increasing sophistication of cyber threats, exemplified by incidents like the Colonial Pipeline and SolarWinds attacks, emphasizing the need for improved federal cybersecurity measures. The order outlines directives such as modernizing cybersecurity systems, implementing zero-trust architecture, and fostering public-private sector partnerships to enhance cybersecurity. Dynatrace supports these initiatives by offering its Software Intelligence platform, which provides comprehensive observability across applications, infrastructure, and user experiences, helping federal agencies detect and respond to threats more effectively. The platform's capabilities align with the order's goals by facilitating zero-trust principles, such as least privilege enforcement and network segmentation, and by partnering with the private sector to address security challenges in modern cloud-native architectures. Dynatrace is committed to collaborating with federal agencies to bolster their cybersecurity posture and ensure robust protection of national digital assets.

The OneAgent release version 1.217 introduces several updates and improvements, enhancing security, compatibility, and performance across various platforms and technologies. Key changes include stricter token management during installation, the transition to declarative process grouping, and the shift of Android artifacts to the Maven Central repository following Bintray's closure. The release also addresses an Android bug related to HTTP connections by ensuring connections are closed unless another request is expected, thereby optimizing resources. Furthermore, support for Oracle HotSpot VM 16, OpenJDK 16, and several other Java VMs has been added, alongside improvements in handling network issues and process grouping. The release notes also detail the resolution of numerous issues across multiple components, including Java, .NET, and mobile platforms, alongside updates to infrastructure monitoring and mainframe functionalities. The release marks the last version supporting specific OpenTelemetry versions for Go and Node.js, and also outlines future and past changes in technology and operating system support, indicating forthcoming deprecations for certain Linux and Windows versions.

Dynatrace Real User Monitoring now features automatic detection of Content Security Policy (CSP) violations, enhancing security for web applications by identifying potential threats such as cross-site scripting attacks without any required configuration. The platform uses its AI engine, Davis, to provide automatic alerts and deep analysis of CSP violations, helping users to prevent malicious attacks and improve their CSP policies. By automatically creating baselines and detecting anomalies, Dynatrace notifies users of any attempted attacks or possible CSP policy misconfigurations. Users can customize alerts based on specific requirements, leveraging platform functionalities for detailed error analysis. Dynatrace's tools also assist in identifying and addressing CSP violations, offering insights like whether a violation was enforced or merely reported, the directive involved, and the policy violated, allowing users to refine their security measures effectively.

The Dynatrace Managed release version 1.220 introduces various enhancements and updates, focusing on performance improvements, security enhancements, and bug fixes across multiple components such as Cassandra and Elasticsearch, now using JRE 8u292 and version 7.10 of the Elasticsearch engine, respectively. This release also expands support to new operating systems, including Red Hat Enterprise Linux 8.4, CentOS 8.4, Oracle Linux 8.4, and Ubuntu 21.04, while announcing future support changes for other systems. The Cluster Management Console has been enhanced for better usability in managing permissions with a simplified Groups overview page and advanced filtering capabilities. Security measures have been improved by automating API token protection, and various resolved issues include vulnerabilities and functionality fixes across different solutions. Notable resolved issues include improvements in cloud automation, cluster management, and infrastructure monitoring, addressing vulnerabilities, data sharing, and notification handling.