Why WebMonitor
Real-time monitoring — Every 30 seconds from everywhere
We check your endpoints from 22+ edge locations simultaneously, cross-verify failures from multiple nodes, and only alert when downtime is confirmed. This multi-location verification eliminates false positives that plague single-location monitors.
3-second alert delivery
WebMonitor delivers incident notifications in under 3 seconds via Slack, email, Telegram, Discord, and webhooks — before your users notice anything is wrong. Compare this to the industry average of 5-15 minutes for free-tier monitoring tools.
SSL certificate expiry monitoring
Automatic alerts at 30 days, 7 days, and 1 day before your SSL certificate expires. Never let an expired certificate take your site offline or show security warnings to visitors.
Deep analytics with response percentiles
Track p50, p90, and p99 response times across all your monitors. Generate SLA reports showing uptime percentage, MTTR (mean time to recovery), and incident timelines for stakeholder communication.
Incident management
Auto-detect incidents from consecutive check failures, track resolution timelines, and maintain a complete incident history. Share incident reports with your team for post-mortem analysis.
Public status pages
Create branded, auto-updating public status pages that show real-time uptime for all your services. Visitors can subscribe to email notifications for status changes.
Integrations
WebMonitor integrates with Slack, Discord, PagerDuty, Microsoft Teams, Telegram, Email, Webhooks, Zapier, OpsGenie, SMS, Datadog, and Grafana.
Frequently Asked Questions
What is WebMonitor and how does it work?
WebMonitor is a real-time uptime monitoring service that continuously checks your websites, APIs, and servers from 22+ global edge locations. Checks run as frequently as every 30 seconds, and if your endpoint goes down or responds too slowly, we notify you in under 3 seconds via Slack, email, Telegram, Discord, or webhooks.
Is the Free plan actually free forever?
Yes. The Free plan includes 3 monitors with 5-minute check intervals, email alerts, and 7 days of history. No credit card is required to sign up, and it remains free indefinitely. Upgrade to Pro for ₹50/month when you need more monitors or faster intervals.
How does WebMonitor prevent false positive alerts?
When a check fails from one location, our system instantly verifies the failure from at least two other global edge nodes before triggering an alert. This multi-location cross-verification ensures that localized network issues don't cause false alarms.
What protocols and endpoints can I monitor?
WebMonitor supports HTTP/HTTPS requests with custom headers and keyword checks, ICMP ping for server reachability, TCP port monitoring for any service, DNS record verification (A, AAAA, CNAME, MX, TXT), and heartbeat/cron job monitoring via inbound pings.
How is WebMonitor different from UptimeRobot?
WebMonitor delivers alerts in under 3 seconds compared to UptimeRobot's standard polling intervals, provides deeper p50/p90/p99 response time analytics, and is significantly more affordable for Indian teams — starting free and scaling to ₹50/month versus $7-29/month for UptimeRobot's paid plans.
Is WebMonitor suitable for Indian businesses?
WebMonitor is built by Averiq Technologies Private Limited in Gurugram, India. Pricing is in Indian Rupees with Razorpay payment support including UPI, credit/debit cards, and Netbanking — making it ideal for Indian startups, developers, and enterprises.
WebMonitor Blog — Monitoring & Reliability Guides
Uptime monitoring is the practice of continuously checking whether a website, API, or server is available and responding correctly to requests. Modern uptime monitoring tools send HTTP, HTTPS, TCP, ICMP, or DNS requests at regular intervals from multiple geographic locations and alert operations teams when an endpoint fails to respond or returns an unexpected status code. Organizations use uptime monitoring to maintain SLA compliance, reduce mean time to detection (MTTD), and prevent revenue loss from undetected outages. A comprehensive monitoring strategy covers synthetic checks, real user monitoring (RUM), and SSL certificate expiry tracking.
SLA uptime is calculated by dividing total available time by total time in the measurement period, then multiplying by 100 to get a percentage. The formula is: SLA Uptime % = ((Total Minutes − Downtime Minutes) / Total Minutes) × 100. For example, a service with 43 minutes of downtime in a 30-day month achieves 99.9% uptime (also called "three nines"). Each additional nine dramatically reduces allowed downtime: 99.99% ("four nines") permits only 4.32 minutes per month, while 99.999% ("five nines") allows just 26 seconds. Businesses use these calculations to set contractual guarantees, determine credit thresholds, and measure operational reliability against industry benchmarks.
Uptime monitoring uses several check types to verify different layers of infrastructure availability. HTTP/HTTPS checks validate web application responses including status codes, response body keywords, and TLS certificate validity. ICMP ping checks confirm basic server reachability at the network layer. TCP port checks verify that specific services (databases, mail servers, custom daemons) are accepting connections. DNS checks monitor record resolution to detect propagation issues or hijacking. Heartbeat (cron) checks use reverse monitoring — your application sends periodic pings to the monitor, and alerts fire if a ping is missed. Choosing the right check type depends on what layer of your stack you need to verify.
An incident response playbook is a structured document that defines how engineering teams detect, triage, communicate, and resolve production incidents. Effective playbooks reduce mean time to recovery (MTTR) by eliminating decision paralysis during high-pressure outages. Key components include severity classification (SEV1-SEV4), escalation paths with on-call rotations, communication templates for stakeholders, and post-incident review processes. Teams with documented playbooks resolve incidents 40-60% faster than those relying on ad-hoc responses. The playbook should specify who declares an incident, which channels to use for coordination, when to engage leadership, and how to conduct blameless post-mortems that produce actionable improvement items.
Website downtime costs businesses an average of $5,600 per minute according to Gartner research, though actual costs vary dramatically by industry and scale. E-commerce sites lose direct revenue at a rate proportional to their average transactions per minute. SaaS companies face SLA credit obligations, customer churn, and reputational damage that compounds over time. The true cost of downtime includes lost revenue, recovery labor costs, SLA penalties, customer lifetime value erosion, and brand reputation damage. For a mid-size e-commerce site processing $100,000 in daily revenue, each hour of downtime represents approximately $4,167 in lost sales — excluding the long-term trust impact. Proactive monitoring with sub-minute detection intervals is the most cost-effective prevention strategy.
A status page is a public-facing web page that communicates the real-time operational health of your services to customers, partners, and internal stakeholders. Effective status pages display current system status with component-level granularity, maintain a historical incident timeline, provide subscription options for email or webhook notifications, and show uptime percentages over rolling periods (7-day, 30-day, 90-day). Best practices include updating status within 5 minutes of incident detection, using clear severity labels (operational, degraded, partial outage, major outage), providing estimated resolution times, and publishing post-incident summaries. Status pages reduce support ticket volume by 30-50% during outages by proactively informing affected users.
API monitoring is the practice of continuously testing API endpoints for availability, correctness, and performance. Unlike basic uptime checks that only verify HTTP status codes, comprehensive API monitoring validates response schemas, checks authentication flows, measures latency percentiles (p50, p90, p99), and tests multi-step transaction sequences. Modern API monitoring should cover health check endpoints, critical business endpoints (authentication, payment processing, data retrieval), webhook delivery verification, and third-party API dependency tracking. Key metrics include availability percentage, response time distribution, error rate by status code, and time-to-first-byte (TTFB). Teams should set alerts based on both absolute thresholds and anomaly detection against historical baselines.
MTTD (Mean Time to Detect) measures the average time between when a failure occurs and when the monitoring system identifies it. MTTR (Mean Time to Recovery) measures the average time from detection to full service restoration. Together, these metrics define the total incident duration experienced by users: Total Outage = MTTD + MTTR. Reducing MTTD requires faster check intervals and multi-location verification — moving from 5-minute checks to 30-second checks reduces MTTD by up to 10x. Reducing MTTR requires runbook automation, clear escalation paths, and practice through incident drills. Industry benchmarks for high-performing teams: MTTD under 5 minutes, MTTR under 30 minutes for SEV1 incidents. These metrics are the foundation of site reliability engineering (SRE) practice.
Alert fatigue occurs when on-call engineers receive so many notifications that they begin ignoring or slow-responding to all alerts, including critical ones. Studies show that teams receiving more than 20 alerts per on-call shift experience significantly degraded response times. Best practices for sustainable alerting include multi-location verification before firing (eliminates false positives), severity-based routing (critical to phone, warning to Slack), alert grouping and deduplication, escalation policies with automatic re-routing after acknowledgment timeouts, and regular alert review ceremonies to prune noisy rules. The goal is fewer, higher-signal alerts: every notification should be actionable and require human intervention. If an alert can be auto-remediated, it should be automated rather than paging a human.
The website monitoring market in 2026 spans from free tools suitable for personal projects to enterprise platforms monitoring thousands of endpoints. Key evaluation criteria include check frequency (30 seconds to 5 minutes), number of monitoring locations, alert delivery speed, supported protocols (HTTP, TCP, DNS, ICMP), status page capabilities, and integration ecosystem. WebMonitor offers the best value for Indian teams with 30-second checks starting at ₹50/month compared to UptimeRobot ($7/month for 1-minute checks) and Pingdom ($15/month). Free tiers vary significantly: WebMonitor provides 3 monitors with email alerts, UptimeRobot offers 50 monitors at 5-minute intervals, and Better Stack provides 10 monitors. For enterprises, Datadog and New Relic offer full-stack observability but at 10-50x the cost of focused monitoring tools.