Overview
Dynatrace Davis is a cutting-edge AI product that combines predictive, causal, and generative AI to enhance observability, security, and business operations. It offers precise answers and intelligent automation, significantly boosting productivity through its Davis CoPilot feature.
Key Features:
- Predictive AI provides continuous forecasting and anomaly prediction across multidimensional baselines, application traffic, and service load, all while being seasonality and pattern aware.
- Causal AI analyzes observability and security data in the context of topology information, grouping anomalies, pinpointing root causes, and prioritizing based on business impact automatically and ad hoc.
- Generative AI, fueled by predictive and causal AI, creates queries, notebooks, and dashboards to simplify analytics and provides workflow and automation recommendations.
Benefits:
- Automatic root-cause analysis allows Dynatrace Davis to detect and analyze the root cause of problems, using topology, transaction, and code-level information to precisely pinpoint issues.
- Natural language queries enable users to easily explore data and discover patterns across all Grail data, with Davis CoPilot translating questions in natural language to Dynatrace Query Language (DQL).
- Auto-coded workflows facilitate the automation of remediation actions and other workflows, making integrations with ChatOps, DevOps, and ITSM tools seamless.
Use Cases:
- Predictive operations ensure reliable operations by proactively catching and avoiding issues, with features like predictive disk resizing and autoscaling resources.
- Auto-generated quality checks allow users to define quality objectives in the code and validate them throughout the delivery process before reaching production.
- AI-powered application security protects applications by automatically assessing risk, detecting and blocking threats, and recommending remediation strategies.
Capabilities
- Detects performance anomalies in applications, services, and infrastructure
- Pinpoints root cause of problems using topology and code-level analysis
- Generates dashboards and notebooks from natural language commands
- Translates natural language queries into Dynatrace Query Language (DQL)
- Automates remediation workflows with natural language input
- Leverages machine learning for anomaly detection and risk assessments
- Performs real-time monitoring with AI-driven anomaly detection
- Correlates and suppresses redundant events to optimize alerting
- Identifies and maps entity relationships in dynamic cloud environments
- Assesses risk and implements application security measures
- Forecasts IT capacity using predictive analytics
- Enhances onboarding and platform utilization through AI recommendations
- Uses causal AI models to validate code quality and manage deployments
- Analyzes large-scale dependencies quickly to identify system issues
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