AIMS is built from the ground up to provide automated monitoring across data centers, cloud, infrastructure, application and services. Why? Because the dependencies of modern IT applications built on micro-services, physical infrastructure and LOB applications knows no border. View the available agents.
AIMS use machine learning to automatically set dynamic thresholds for all your metrics (typically thousands) and generates alerts that adapt to your rhythm of business. After installation, AIMS will continuously learn how your system performs on any given day, week, month or year.
AIMS identify anomalies within a single system and across systems. Using AIMS proprietary machine learning algorithms, AIMS detects when behavior is heading out of normal ranges and alerts you earlier – so you can take action to prevent downtime.
AIMS charts and correlates any performance metric across the many applications in your integration environment, helping you slash troubleshooting time and more quickly identify the root cause of performance issues.
Build visual dashboards using ready-made components and customize for all your stakeholder groups – both technical and non-technical. Dashboards are a key tool to ensure system owners, line of business owners and CxOs stay informed and engaged.
AIMS is cloud-based SaaS software, so you only have to install the necessary agents on the systems you want to monitor. AIMS has a near-zero performance impact, and is scaled to handle high-load Enterprise systems.
Use the AIMS APIs or SDK to integrate and monitor data using a programming language of your choice. Check out Github or the API documentation.
The AIMS R&D team is focused on developing AIMS agents for the most popular technologies. Open Source developers can use the AIMS SDK to develop peripheral agents for other connected systems, application and components.
