Observability solutions: putting observability into practice
Deloitte and Dynatrace propose a series of observability solutions that help organizations accelerate digital transformation and improve their results.
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Observability Solutioning. Driving observability to action.
Dynatrace Platform: Unified observability and security
Dynatrace stands out as a leading platform in unified observability, security, and business data. Companies incorporate it into the DevSecOps (Development, Security and Operations) life cycle, because it offers, for each new development, feedback in the initial engineering phase. In addition, it assists SREs (Site reliability engineering) when validating deployments and configuration changes of new versions. In addition, it helps FinOps optimize workloads when changes are brought to production and Enterprise Architect migrate to full-stack, ensuring SLOs (service-level objectives) are met. Meanwhile, IT operations benefit from Dynatrace's automated incident response system.
OneAgent: Full-stack observability
Dynatrace's OneAgent technology enables continuous, automatic discovery and observability from infrastructure, applications, and general telemetry. OneAgent's Foundation and Discovery mode encompasses enterprise-wide observability and security and can be centrally managed.
Grail: AI-powered platform for observability, security, and enterprise data at any scale.
Unify and contextually analyze data with the Dynatrace causal datalakehouse. In this way, the data is interconnected within a real-time model (Dynatrace Smartscape) that reflects the topology and dependencies within a monitored environment. Dynatrace ensures that the data ingested meets the five pillars of data quality: freshness, volume, distribution, schema, and lineage.
Automation: Bringing logic to data
Dynatrace AutomationEngine combines observability, security, and data with causal and predictive AI to automate DevSecOps workflows at enterprise scale and help the SRE model improve resiliency, performance, and scalability. In the case of security teams, it allows you to reduce risks in the code and third-party dependencies.
Davis® AI: CoPilot™ and increased productivity
Dynatrace Davis®, its AI causality engine, is used to detect anomalies in applications, services, and infrastructure. This tool has been expanded with forecasting capabilities that allow IT operations to move from reactive to proactive and preventive. In addition, with the rise of LLMs (large language models), such as ChatGPT, Dynatrace announced CoPilot™ that boosts, thanks to AI, employee productivity through analytics and automation.
AppEngine: Customization and extensibility
Dynatrace AppEngine enables users to build secure, scalable, customized, compliant, and intelligent, data-driven applications. They run in the same context as any other native Dynatrace application and can extend their capabilities by visualizing, automating, or ingesting data from additional sources.
Observability in five use cases
Observability makes it possible to address challenges efficiently, improve decision-making and set new standards in the excellence of digital services. This is demonstrated by the five practical cases selected for their strategic and differential weight to organizational transformation:
- Connecting Business and IT: Business eventsdeliver real time business observability to business and IT teams with precision and contextfor data driven decisions to improve customer experience, decision-making, and collaboration.
- Modernization: In the cloud migration process, companies must ensure that SLAs are maintained throughout development and the integrity of the customer experience is preserved. Dynatrace provides visibility into applications throughout the process and ensures compliance with critical SLAs.
- Manage the impact of changes: Dynatrace's Site Reliability Guardian provides automation and streamlines the validation of critical targets. Its objective is to reduce the rate of failure in changes and the time of deployment in production.
- Cost optimization while maintaining SLAs: Businesses are challenged to manage a scalable cost model and minimize inefficient spend. Dynatrace facilitates end-to-end visibility through Smartscape. In addition, with its full-stack capabilities, companies can see the impact of code releases through distributed traces and infrastructure observability.
- Predictive operations: Dynatrace Davis®AI forecasting and automation capabilities enable SREs, IT Ops, and platform teams to manage and size critical resources such as compute or storage. Predictive analytics to anticipate actual demand allows teams to adjust proactively.
Integration solutions
The integration approach improves the management of platform-based services and allows you to eliminate operational silos and become customer-centric. Solutions like ServiceNow make it possible to detect the cause and impact of problems thanks to AI's ability to identify anomalies. In addition, Dynatrace provides a unified monitoring solution for SAP and non-SAP systems that facilitates process visibility, performance optimization, and rapid root cause analysis across the entire IT stack.
Dynatrace OpenPipeline™ is a stream processing technology that allows enterprises to collect data from various sources through Dynatrace OneAgent , OpenTelemetry, and other observability or third-party tools. OpenPipeline™ then processes the data, effectively managing and reducing the associated costs.
Dynatrace Carbon Impact allows you to calculate and monitor IT's carbon footprint, for regulatory compliance, following the guidelines of the SDIA (Sustainable Digital Infrastructure Alliance).
Journey to observability
Deloitte and Dynatrace help organizations in their transformation process and transition from a reactive to a proactive observability operating model. In such a process, organizations must establish a solid foundation for observability and a roadmap to ensure strategic alignment.
In the advisory phase, the proof of concept (PoC) should revolve around four fundamental capabilities to operate effectively: observability, continuous DevOps validation, automation of SRE operations, and application modernization.
During the implementation stage, Dynatrace makes it easy to set up an observability governance model. In addition, Deloitte assesses clients' observability capabilities across six dimensions: organizational construction, log telemetry and collection, log ingestion and storage, event management capabilities, queries, reports and dashboards, and incident response.
The last phase consists of taking control of observability and ensuring continuous monitoring and optimization of the observability solution, considering these key points: governance, AI and automation operations, continuous monitoring and tracking, capacity and scalability planning, scorecard lifecycle, security and compliance, documentation and knowledge management, training and skills development and supplier management.
