Start by wiring your stack into a single command center. Add your on‑prem apps, cloud services, VMs, containers, and databases in one pass using automated discovery. For code-running services, deploy lightweight agents and turn on deep diagnostics for Java, .NET, and Node.js so you can see problematic methods, slow queries, and external calls. Record synthetic transactions for your critical flows—login, search, checkout—and schedule them from multiple regions. Attach API checks with headers, payloads, and authentication, and set SSL/TLS expiry watch on all public endpoints. Drop a real-user monitoring snippet into your web app to capture session traces and page timings; enable mobile monitoring to compare phone vs. desktop performance.
Next, shape alerting around how your team works. Define thresholds per service and let anomaly detection flag outliers without hand-tuning every metric. Route incident notifications through voice, SMS, email, RSS, or push, and tune escalation policies so the right owner gets paged when SLAs are at risk. Use maintenance scheduling to pause noise during planned changes. Track mail server health, FTP availability, and event logs alongside app metrics, then pin the most important charts to a role-based dashboard. Add page speed monitors from the geographies you serve and set budgets for time to first byte, render, and full load.
When something breaks, pivot from symptoms to cause in minutes. Open the dependency map from automated discovery, follow the transaction path across Kubernetes pods, Docker containers, VMs, and cloud services, and isolate the choke point. Use tracing and diagnostics (ADTD) to jump from a slow endpoint to the exact line of code, SQL call, or external API that’s stalling. Compare real-user sessions to synthetic runs to confirm impact, and review correlated event logs to catch configuration or deployment changes. If capacity is the issue, consult machine learning–driven forecasts to right-size instances, tune thread pools, or add replicas. Validate the fix by re-running your synthetic scripts and watching the error budget burn rate recover.
Close the loop with ongoing optimization and reporting. Build weekly uptime and response summaries by location, service, and SLA, and share a read-only dashboard with stakeholders. Monitor password-protected pages to ensure gated content still loads after releases. Set web defacement checks on critical sites to catch unauthorized changes to text, images, links, or scripts. For APIs, chain multi-step checks to validate auth, business logic, and data integrity. Use capacity planning insights to schedule scaling ahead of seasonal peaks, and keep SSL renewals out of the fire drill category with early alerts. Over time, refine playbooks: prioritize monitors by business impact, codify alert thresholds that reflect user experience, and keep maintenance windows synchronized with your release calendar so your team sees only the alerts that matter.
Free
Free
Free Supports up to 5 monitors with a few restrictions* Free forever Server monitoring RDBMS such as Oracle, MS SQL, etc. NoSQL databases such as MongoDB, Cassandra In-memory databases Big data stores Application servers Middleware and messaging components Web servers Web services Virtual server hosts and Vms (VMware, Microsoft, Citrix, RHEV, KVM, Oracle VM) Container technologies such as Docker, Kubernetes, OpenShift Monitoring of cloud platforms such as AWS, Azure, GCP, Oracle Cloud, OpenStack Custom or homegrown applications Website monitoring Static thresholds Adaptive thresholds Root cause analysis Automated actions such as executing corrective scripts, VM start, stop, restart, etc ML-powered forecast reports Integrate with ManageEngine OpManager for integrated network and storage monitoring Integrate with Site24x7 (SaaS) for monitoring from outside the corporate firewall Integrate with AlarmsOne for alarm correlation SLA management User management
Professional
$395.00 per year
$395/year Provides monitoring, alerting, and reporting features for a diverse set of applications and infrastructure components. Ideal for small to medium enterprises looking to monitor up to 500 applications based on load. Deep APM with byte-code instrumentation for Java, .NET, .NET core, PHP, Node.js environments - (add-on) Diagnose root cause at a code level Server monitoring RDBMS such as Oracle, MS SQL, etc. NoSQL databases such as MongoDB, Cassandra In-memory databases Big data stores Application servers Middleware and messaging components Web servers Web services ERP software such as SAP - (Add-on) Virtual server hosts and Vms (VMware, Microsoft, Citrix, RHEV, KVM, Oracle VM) Container technologies such as Docker, Kubernetes, OpenShift Monitoring of cloud platforms such as AWS, Azure, GCP, Oracle Cloud, OpenStack Custom or homegrown applications Website monitoring Agent-based synthetic transaction monitoring from multiple geographical locations - (add-on) HTTP URL sequence monitoring Static thresholds Adaptive thresholds Root cause analysis Anomaly detection with support for dynamic baselines Automated actions such as executing corrective scripts, VM start, stop, restart, etc Integrate with IT helpdesks such as ManageEngine ServiceDesk Plus and ServiceNow for incident management ChatOps integration with support for Slack ML-powered forecast reports Integrate with ManageEngine OpManager for integrated network and storage monitoring Integrate with Site24x7 (SaaS) for monitoring from outside the corporate firewall Integrate with Analytics Plus for advanced analytics Integrate with AlarmsOne for alarm correlation Automated application discovery and dependency mapping SLA management User management Admin actions (Downtime scheduler, Trap Listener, Scheduling, enabling, disabling reports.) Dashboards and Business Views Offers technical support
Enterprise
$9,595.00 per year
$9595/year All features of Professional Edition + distributed monitoring capabilities + failover. Ideal for large enterprises looking to monitor 500 apps and above. Scales up to 10,000 monitors with the help of distributed setup. <strong>APM</strong> Deep APM with byte-code instrumentation for Java, .NET, .NET core, PHP, Node.js environments - (add-on) Diagnose root cause at the code level Server monitoring RDBMS such as Oracle, MS SQL, etc. NoSQL databases such as MongoDB, Cassandra In-memory databases Big data stores Application servers Middleware and messaging components Web servers Web services ERP software such as SAP - (Add-on) Virtual server hosts and Vms (VMware, Microsoft, Citrix, RHEV, KVM, Oracle VM) Container technologies such as Docker, Kubernetes, OpenShift Monitoring of cloud platforms such as AWS, Azure, GCP, Oracle Cloud, OpenStack Custom or homegrown applications Website monitoring Agent-based synthetic transaction monitoring from multiple geographical locations - (add-on) HTTP URL sequence monitoring Static thresholds Adaptive thresholds Root cause analysis Anomaly detection with support for dynamic baselines Automated actions such as executing corrective scripts, VM start, stop, restart, etc Integrate with IT helpdesks such as ManageEngine ServiceDesk Plus and ServiceNow for incident management ChatOps integration with support for Slack ML-powered forecast reports Integrate with ManageEngine OpManager for integrated network and storage monitoring Integrate with Site24x7 (SaaS) for monitoring from outside the corporate firewall Integrate with Analytics Plus for advanced analytics Integrate with AlarmsOne for alarm correlation Automated application discovery and dependency mapping SLA management User management Admin actions (Downtime scheduler, Trap Listener, Scheduling, enabling, disabling reports.) Dashboards and Business Views Offers technical support Failover High scalability with distributed monitoring architecture
Comments