Deployment:
Devaten offers flexible deployment options, catering to both on-premises and SaaS environments. For on-premises installations, Devaten utilizes Docker for seamless and efficient deployment.

Data Collection:
The Devaten Agent collects and aggregates database events, metrics, and performance data. It captures crucial information regarding database activities and performance indicators.

Processing and Analysis:
The collected data is processed and analyzed by Devaten's intelligent engine. Leveraging the power of OpenAI, it interprets patterns, identifies potential issues, and generates insights into optimizing database actions.

Dashboard and Recommendations:
The processed data and insights are then presented via the Devaten dashboard. Users can access comprehensive analytics, visualizations, and actionable recommendations based on the AI-driven analysis.

Unified Database View:
Devaten offers IT and Database Operations Teams a comprehensive single-view interface, allowing seamless monitoring and management of database infrastructure.

Customizable Dashboard:
Devaten provides customizable dashboards, enabling users to tailor the display of metrics and insights based on their specific needs.

Intelligent Alerting:
Devaten facilitates alerting for critical database issues, ensuring prompt notifications and responses to potential problems within the database environment.

Advanced Data Collection and Analysis:
Devaten excels in collecting and analyzing various database performance metrics such as Latency, Logs, and Error Rates. This comprehensive analysis aids in identifying bottlenecks and areas for optimization.

API Access:
Devaten offers access to its API, providing flexibility and opportunities for integrating and extending its functionalities within existing workflows or applications.

Database Logs Collection:
Devaten efficiently gathers logs directly from database system tables and log files. This seamless collection process ensures comprehensive coverage of database activities.

User-Defined Metric Generation:
Users have the flexibility to modify and create metrics tailored to their specific requirements. Devaten empowers users to craft and define custom metrics, fostering a personalized monitoring environment.

Serverless Monitoring Capabilities:
Utilizing serverless monitoring functionalities, Devaten streamlines data collection processes, optimizing resource usage while maintaining robust monitoring capabilities.

Configuration for Enhanced Processing:
By utilizing integration default configuration files, Devaten enables users to activate dedicated processors, parsing mechanisms, and facets within the platform. This enhances the processing and analysis of collected data within the Devaten environment.

In essence, Devaten employs multiple strategies, from direct log collection to user-defined metrics, and leverages serverless monitoring to ensure a comprehensive and efficient approach to data collection, aggregation, and analysis within the database environment.

Yes, within Devaten, alerts from a single monitor can be directed to different Jira channels. This is achieved by utilizing a tag that precisely matches a specific part of the Jira channel. In cases where an appropriate tag isn't available, a conditional 'if-else' statement can be created to route alerts accordingly.

Devaten is utilized by large corporations within the forestry industry and telecommunications sector

Unified Database View: Devaten provides a comprehensive single-view interface for IT and Database Operations Teams, facilitating seamless monitoring and management of database infrastructure.
Customizable Dashboard: Users can tailor the display of metrics and insights to match specific needs using Devaten's customizable dashboards.
Intelligent Alerting: Devaten enables alerting for critical database issues, ensuring prompt notifications and responses to potential problems within the database environment.
Advanced Data Collection and Analysis: Excelling in collecting and analyzing various database performance metrics like Latency, Logs, and Error Rates, Devaten offers comprehensive analysis for identifying bottlenecks and optimization areas.
API Access: Devaten's API access provides flexibility, allowing integration and extension of functionalities within existing workflows or applications.

docker-compose.yml for middleware
docker-compose.yml for dashboard
prometheus.yml

AI at Devaten is leveraged across various aspects of database management:

Automated Scripting: Devaten harnesses AI capabilities to automate scripting processes, empowering Database Administrators (DBAs) to store, analyze, and sometimes generate scripts. This significantly reduces the time and effort required for script management.

Intelligent Issue Detection: AI-driven algorithms in Devaten efficiently identify potential database issues. From N+1 problems to forecasting space requirements, recommending partitions, and detecting missing indexes, AI plays a crucial role in proactive issue identification and resolution.

Optimization and Analysis: AI is employed for optimizing database actions by analyzing data patterns, performance metrics, and historical trends. This analysis aids in making informed decisions for enhancing database performance.

Data Insights and Recommendations: By employing AI-driven analytics, Devaten generates actionable insights and recommendations. These insights empower users to make informed decisions regarding database optimization, performance enhancement, and issue resolution.

Overall, AI is integrated into Devaten's framework to streamline database management processes, provide proactive issue detection, optimize performance, and offer actionable insights for efficient database operations.