Davis

Davis is a powerful AI engine developed by Dynatrace that helps organizations automate and improve their IT operations. It uses a combination of predictive AI, causal AI, and generative AI.

It is a powerful tool that can help organizations improve their IT operations in several ways. If you're looking for a way to reduce downtime, improve performance, and save money, then Davis is worth considering.

Davis Features

• Hypermodal AI: Davis uniquely integrates predictive, causal, and generative AI for observability, security, and business applications. This approach allows for comprehensive analysis and insights​​.

• Automatic Root-Cause Analysis: It detects and analyzes the root causes of issues, pinpointing problems using topology, transaction, and code-level information. Davis CoPilot then suggests remedial actions​​.

• Natural Language Queries: Through Dynatrace Query Language (DQL), Davis CoPilot enables exploring data and identifying patterns via natural language, enhanced with causal AI for deeper context​​.

• Auto-Coded Workflows: Facilitates the creation of automated workflows using natural language inputs, streamlining processes like auto-remediation and integration with various operational tools​​.

• Predictive Operations: Davis forecasts and proactively addresses issues, offering features like predictive disk resizing and autoscaling resources. It generates reports and initiates actions automatically​​.

• Auto-Generated Quality Checks: These define and validate quality objectives throughout the delivery process, applying machine learning, anomaly detection, and root cause analysis for simplification​​.

• AI-Powered Application Security: Automatically assesses risks, detects threats, recommends remediation strategies, and simplifies security analysis, integrating all data in real-time​​.

• Natural Language to Visual Analytics: Transforms natural language input into visual analytics, generating dashboards and notebooks to simplify data exploration​​.

• AI-Assisted Onboarding and Platform Use: Utilizes a custom-trained large language model (LLM) for efficient onboarding and platform utilization, enabling quick adaptation to new technologies and configurations​​.

• Custom-Trained LLMs and Hypermodal AI: Leverages optimized LLMs for precise answers and recommendations. The combination of predictive, causal, and generative AI enhances data transformation for accurate insights and results​.

Davis Pricing

• Full-Stack Monitoring: $0.08 per hour for an 8 GiB host.
• Infrastructure Monitoring: $0.04 per hour for any size host.
• Application Security: $0.018 per hour for an 8 GiB host.
• Real User Monitoring: $0.00225 per session.
• Synthetic Monitoring: $0.001 per synthetic request.
• Log Management & Analytics:
• Ingest & Process: $0.20 per GiB.
• Retain $0.0007 per GiB per day.
• Query: $0.0035 per GiB​​.

Davis Usages

• Application Performance Monitoring: It excels in monitoring application performance, offering problem detection and diagnosis​​.

• 24/7 Monitoring: Provides round-the-clock monitoring for infrastructure and applications​​.

• Report Generation: Capable of generating reports based on user-defined thresholds and creating detailed monthly reports for application performance and SLAs​​.

• Custom Synthetic Monitoring Workflows: Allows the creation of custom synthetic monitoring workflows and supports a wide range of application technologies for monitoring.

• Centralized Dashboard: Offers a centralized dashboard for detailed insights, enhancing visibility and control.

• Metrics and Graphs Generation: Effective in adding metrics to the UI and generating graphs, aiding in data visualization and analysis

Davis Competitors

• Status: A SaaS-based application performance management platform offering full-stack visibility for applications and servers. It enables real-time collection of performance data to resolve issues and enhance digital customer experiences quickly. 

• Datadog: This solution uses a common data model for AI and machine learning analytics, including anomaly detection, event correlation, and root cause analysis. Datadog's single-agent architecture simplifies usage and supports a wide range of monitoring, including hybrid cloud architectures.

• AppDynamics: An APM platform that assesses how application performance impacts business outcomes, offering both SaaS and on-premise solutions. AppDynamics provides full-stack, business-centric AIOps capabilities and supports code-level detailed monitoring. 

• SolarWinds AppOptics: A comprehensive and cost-effective APM solution, AppOptics is used in cloud, hybrid, and on-premises environments. It features automated application root cause analysis and full-stack infrastructure monitoring. 

• ManageEngine: Known for its remote agentless monitoring capabilities, ManageEngine Applications Manager also provides synthetic monitoring and bytecode instrumentation for agent-based monitoring. It's a versatile tool in the IT software industry, offering network performance monitoring, IT operations management, and security solutions. 

• New Relic: Offers APM including DEM, logs, metrics, infrastructure, and analytics. New Relic One platform unifies these features and supports data ingestion from various sources. It supports open-source technologies and public cloud services like Kubernetes and is customizable, though it may require multiple agents depending on the monitoring environment​​.

• LogicMonitor: A SaaS-based data center monitoring service providing full-stack visibility for networks, cloud, servers, and more. It offers an agentless solution, minimizing the impact on IT infrastructure. LogicMonitor's technology is designed for scaling and provides up to a year of data storage for trend analysis and future planning​​.

Davis Launch & Funding

Dynatrace Davis, featuring predictive AI and causal AI, is generally available to all Dynatrace customers. Davis CoPilot™, an expansion of Davis , will be available later in 2023 as a core technology within the Dynatrace platform. Dynatrace, the company behind Davis, was founded on February 2, 2005, and had its initial public offering on August 1, 2019.

Dynatrace has raised a total of $21.9M in funding over 4 rounds. The latest funding was raised on March 23, 2023, from a post-IPO equity round.

Davis Limitations

• User Interface: Some users find the UI could be more user-friendly, especially from a non-technical perspective​.

• Performance Issues: Some versions have performance issues, leading to incidents and affecting reliability.

• Cost Considerations: The cost of the tool is relatively higher, which might be a limiting factor for some organizations​​.

• Documentation: There is a need for improved documentation, including more scenarios and usage examples for better user understanding​​.

• Flexibility and Descriptiveness of Dashboard: Users desire more flexibility to modify the design of the centralized dashboard and more descriptive graphs​​.

• Web-Based Monitoring Options: More options could be included for web-based monitoring to enhance its capabilities​.