
Overmonitor is a cloud-based infrastructure, website, and endpoint monitoring platform built for fast setup without enterprise complexity. Monitor websites, APIs, servers, processes, Windows services, event logs, performance counters, SNMP data, uptime, response time, DNS, SSL certificates, internal endpoints, and network health from one dashboard.
The lightweight 2.1 MB agent runs as an idle process, requires no inbound firewall exceptions or open ports, and sends a secure heartbeat every minute. Configure monitoring quickly through the web interface and target checks by city-level geography. Maintenance windows suppress expected noise, while configurable alerts, push notifications, and audible dashboards keep the right people informed.
Multi-location endpoint checks validate incidents, reduce false alarms, expose regional problems, and reveal how availability and responsiveness differ across target markets.
Distributed Monitors expand Overmonitor’s network by allowing eligible servers to opt in and check up to 10 external endpoints. Checks add negligible data to the existing heartbeat, require no extra configuration or firewall changes, execute no remote web scripts, and store no monitored data on the server. If a participating server or network becomes unavailable, its checks are automatically reassigned. Participation also earns prorated invoice credits.
Trend Analysis turns historical infrastructure metrics into proactive capacity planning. Choose from thousands of performance counters, including CPU utilization, available memory, and disk space, then assign minimum and maximum thresholds. Once enough data has been collected, Overmonitor applies linear regression to estimate when a metric may cross its limits. A configurable planning horizon controls when responsible team members are alerted, helping you rebalance workloads, tune resources, or scale capacity before performance becomes an outage or unbudgeted emergency. Trend Analysis is included with every server metric at no additional charge.
Overmonitor also includes process rollups, embeddable performance graphs, endpoint health visibility, flexible retention, multiple users with roles, and à la carte pricing so you pay only for the monitoring you need. Detect outages, correlate website symptoms with server health, analyze performance, track availability, and improve end-user experience before small issues become downtime.
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Astra’s Pentest is a comprehensive penetration testing solution with an intelligent automated vulnerability scanner coupled with in-depth manual pentesting.
On top of 10000+ tests including security checks for all CVEs mentioned in the OWASP top 10, and SANS 25, the automated scanner also conducts all tests required to comply with ISO 27001, HIPAA, SOC2, and GDPR.
Astra offers an interactive pentest dashboard that the user can use to visualize vulnerability analyses, assign vulnerabilities to team members, and collaborate with security experts. And if the users don’t want to get back to the dashboard every time they want to use the scanner or assign a vulnerability to a team member, they can simply use the integrations with CI/CD platforms, Slack, and Jira.
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DefectDojo
Take DefectDojo for a spin and review the demo of DefectDojo and login with sample credentials. DefectDojo is available on Github and has a setup script for easy installation. A docker container with a pre-built version of DefectDojo is available. Know exactly when new vulnerabilities are introduced in a build or remediated. Tracking when a product is assessed is easily accomplished using DefectDojo's API to track security tests that are run on each build. DefectDojo has the ability to track the build-id, commit hash, branch or tag, orchestration server, source code repo, and build server for every on-demand security test. Various reports are available for tests, engagements, and products. Products can be grouped into critical products to track products that are critical to your organization. Similar findings can be easily merged into one finding to provide developers one finding instead of multiple findings.
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