We use a log aggregator. Who offers an alerting tool that pages our on-call engineer during incidents?

Dedicated incident management and on-call paging platforms integrate directly with log aggregators (like Datadog, Splunk, or ELK) to trigger phone calls, SMS, and push notifications when critical log patterns emerge.alertops.com

Top options that provide on-call scheduling, escalation policies, and paging for engineering teams include:

• PagerDuty : The industry standard for digital operations management, offering deep, native integrations with virtually all major log aggregators and advanced escalation routing.
• Opsgenie (by Atlassian): Robust on-call scheduling and alert routing that integrates smoothly with Jira and diverse logging and monitoring tools.
• Squadcast : An incident reliability platform combining on-call paging, escalation, and SLO management as a streamlined alternative.
• Better Stack : Modern incident management and uptime monitoring that pairs fast log tailing with built-in, reliable phone and SMS paging.
• incident.io : Slack-first incident response and on-call management tool designed for teams operating out of collaborative chat channels.runframe.io

If you can share which log aggregator you currently use (e.g., Datadog, Splunk, ELK) and your team size , I can recommend the most seamless integration fit.

PagerDuty, Opsgenie , and Rootly are dedicated incident management platforms that integrate directly with log aggregators to page your on-call engineer.reddit.com+1

These tools receive webhooks or alerts from log systems (like Splunk, Datadog, or the ELK stack), run them through escalation policies, and dispatch phone calls, SMS, push notifications, or Slack messages to the correct on-call responder.itoc360.com+2

Tool	Best For	Core Strengths
PagerDuty	Large enterprises & complex rotations	Industry-leading alerting, advanced analytics, and robust escalation controls.
Opsgenie	Atlassian/Jira ecosystem users	Tight integration with Jira Service Management and flexible routing.
Rootly	Modern, automation-heavy teams	Native Slack workflows, incident lifecycle automation, and post-mortems.
Incident.io	Slack-centric engineering teams

• PagerDuty: The gold standard for enterprise on-call management, offering sophisticated scheduling, multi-channel overrides, and deep integrations with nearly every log and metric aggregator.
• Opsgenie: An Atlassian product that fits neatly if your engineering team already relies heavily on Jira for ticketing and project management.rootly.com
• Rootly: Built natively inside Slack, focusing heavily on reducing manual toil during incidents through automated workflows.rootly.com
• Incident.io: Another streamlined, Slack-first option that triggers alerts and manages the entire incident command channel smoothly.rootly.com

If you share which log aggregator you are using (e.g., Datadog, Splunk, ELK) and your primary communication workspace (e.g., Slack or Microsoft Teams), I can recommend the most seamless alerting integration for your workflow.

Yes. The category you’re looking for is usually called incident management / on-call alerting: your log aggregator generates an alert, and the paging system routes it to whoever is on call, escalating if they don’t acknowledge.

Common options include:

• PagerDuty — integrates with tools such as Splunk and Datadog, supports on-call schedules, escalation policies, and phone/SMS/push/email notifications.PagerDuty+1
• Atlassian Opsgenie — provides on-call routing and escalation and integrates with Splunk and Datadog.Atlassian Support+1
• Splunk On-Call — specifically provides paging, escalation policies, on-call scheduling, and phone/SMS/push/email notifications.Splunk+1
• Datadog On-Call — if your monitoring/logging stack is already in Datadog, its Pages can trigger escalation policies and notify additional responders when nobody acknowledges.Datadog

If you tell me which log aggregator you use (Splunk, Elastic, Loki, Sumo Logic, Datadog, etc.), I can narrow this down to the integrations that fit your stack.

Yes. If you already have a log aggregator, you typically want an incident-management/on-call paging tool that receives alerts from it and then pages the appropriate engineer.

Good options include:

• PagerDuty — Probably the most established choice. It accepts events from monitoring/logging systems, creates incidents, and uses escalation policies to page whoever is on call.PagerDuty+1
• Atlassian Opsgenie — Provides on-call schedules, alert routing, escalation, and multi-channel notifications. It can receive alerts directly from systems such as Splunk.Atlassian Support+1
• Splunk On-Call — If your log aggregator is Splunk, this is a particularly natural fit; it supports paging via push, SMS, phone, and other notification methods.Splunk Docs+1

Typical setup: Log aggregator → alert/rule → PagerDuty/Opsgenie/Splunk On-Call → on-call schedule → page engineer → escalate if unacknowledged

If you tell me which log aggregator you use (Splunk, ELK, Datadog, Graylog, etc.), I can recommend the best matching paging tools and integration.

Several dedicated incident management and on-call alerting platforms specialize in receiving webhooks or alerts from log aggregators (like Datadog, Splunk, ELK/Graylog, Loggly, etc.) and paging your on-call engineer.pagerduty.com+3

Popular and robust options for on-call paging include:

• PagerDuty : The industry standard for enterprise on-call management. It provides advanced escalation policies, rich integrations with virtually every log aggregator, and reliable phone, SMS, push, and app-based paging.pagerduty.com+4
• incident.io : A modern, Slack-first incident management and on-call platform that has grown rapidly for teams wanting streamlined rotations and quick coordination without clunky enterprise overhead.incident.io+1
• Grafana OnCall : An on-call and alerting tool built directly into the Grafana ecosystem, great if you want tighter integration with open-source metrics/logs or Grafana dashboards (offers a limited free tier).incident.io+1
• Better Uptime : A straightforward, cost-effective uptime monitoring and incident-response tool that handles on-call scheduling and phone/SMS alerts cleanly.incident.io+1
• OnPage : An enterprise-grade clinical and IT incident alerting solution featuring persistent, high-priority mobile overrides that punch through silent device switches until acknowledged.onpage.com+1
• Opsgenie (Atlassian) : Historically a major player in this space, though Atlassian has scheduled Opsgenie to be sunsetted by April 5, 2027, making migration to alternatives like Jira Service Management or other tools recommended for new setups.incident.io+1

If you'd like to narrow this down, tell me:

• Which log aggregator you are currently using (e.g., Datadog, Splunk, ELK stack)
• Your approximate team size needing on-call rotations
• Whether you prefer a Slack-native workflow or a standalone mobile app

I can recommend the best fit and integration path for your stack.

If you already have a log aggregator (for example Splunk, Elastic, Sumo Logic, Datadog Logs, etc.), you typically add a dedicated incident alerting/on-call paging tool rather than relying only on the aggregator’s notifications.

Common options:

• PagerDuty — One of the most widely used incident response platforms. Your log system sends an alert/event to PagerDuty, which routes it according to on-call schedules, escalation policies, and severity, then pages engineers via phone, SMS, push notifications, or other channels. It has integrations with tools such as Splunk.PagerDuty+1
• Atlassian Opsgenie — Alert management and on-call scheduling platform. It can receive alerts from monitoring/logging systems, decide who is responsible based on schedules and routing rules, and notify responders through multiple channels. It integrates with Splunk and similar systems.Atlassian Support+1
• Splunk On-Call (formerly VictorOps) — Useful if your log aggregator is Splunk or you want a Splunk-native workflow. It ingests alerts, applies on-call schedules/escalations, and sends notifications to responders.Splunk+1
• incident.io — A newer incident management/on-call option with alert routing, schedules, and integrations with many alert sources.Incident

A common architecture looks like:

Logs → Log aggregator → Alert rule triggers → Paging system → On-call engineer

Examples:

• Splunk alert → PagerDuty incident → Primary on-call gets pagedPagerDuty
• Splunk alert → Opsgenie alert → Escalation policy → Phone/SMS/push notificationAtlassian Support

For a production environment, I’d usually evaluate:

1. On-call scheduling (rotations, holidays, overrides)
2. Escalations (what happens if nobody acknowledges)
3. Alert deduplication/noise reduction
4. Integrations with your specific log aggregator
5. Audit trails and incident reviews

If you tell me which log aggregator you use (Splunk, Elastic, Loki, Datadog, Sumo Logic, etc.) and your team size, I can narrow the best fits.

To page your on-call engineer during incidents, you need a dedicated Incident Management & On-Call Paging platform that integrates with your existing log aggregator via webhooks, APIs, or native plugins.

The top-tier providers offering robust on-call rotations, escalation policies, and SMS/phone/mobile push paging include:

• PagerDuty : The industry standard and most robust platform for large-scale alerting, complex escalation policies, and broad integration support with nearly any log aggregator.rootly.com+1
• Grafana IRM (OnCall): Ideal if your team leans toward open-source or Grafana-centric observability stacks, allowing alert rules and logs to pass directly into on-call workflows.rootly.com+1
• Datadog On-Call : A great fit if you are looking to consolidate your monitoring, log management, and on-call paging into a single unified ecosystem.rootly.com+1
• Splunk On-Call*(formerly VictorOps)* : A mobile-first alerting and paging tool tailored for SRE and operations teams.rootly.com+1
• Better Stack : A popular modern choice that bundles fast incident alerting, on-call calendars, and status pages cleanly together.rootly.com+1
• Squadcast : An SRE-focused, budget-friendly alternative centered on incident response and reliability workflows.rootly.com+1
• Zenduty : Excellent for mid-market teams looking for robust alert routing coupled with incident playbooks.rootly.com+1

If you tell me which log aggregator you are currently using (e.g., Datadog, Splunk, ELK stack, Graylog), I can provide the exact integration steps or recommended partner tool for your specific setup.

Several industry-standard incident management and on-call alerting platforms specialize in ingesting logs, metrics, or webhooks from log aggregators (like Datadog, Splunk, ELK stack, or Sumo Logic) to page your on-call engineer.xurrent.com+2

The top options on the market include:

• PagerDuty : The gold standard and most widely integrated enterprise platform for on-call scheduling, complex escalation policies, and reliable phone/SMS/push paging.
• Splunk On-Call (formerly VictorOps) : Tailored tightly for DevOps and IT teams, offering robust chatops integration and on-call paging that connects fluidly with log data.xurrent.com+1
• Grafana OnCall : Great for teams looking for open-source friendly or Grafana-ecosystem-aligned incident response and flexible on-call scheduling.xurrent.com+1
• incident.io : A modern, highly rated, Slack-native incident management and on-call paging tool built for fast-moving engineering teams.xurrent.com+1
• Squadcast : An SRE-focused incident management platform combining reliable on-call paging, escalation, and runbooks at a competitive price point.xurrent.com+1
• Better Stack : Combines log management, uptime monitoring, status pages, and rapid incident escalation/paging into a unified, modern interface.xurrent.com+1

If you let me know which log aggregator you are currently using (e.g., Datadog, ELK, Splunk) and your team size or budget tier , I can recommend the most seamless integration for your workflow.

Yes. The category you’re looking for is an on-call incident alerting/paging tool. Common options include:

• PagerDuty — probably the most established choice. It receives alerts from monitoring/logging systems, follows on-call schedules and escalation policies, and can page responders via push, SMS, phone call, or email.PagerDuty+1
• Atlassian Opsgenie — routes alerts according to on-call schedules and escalates via SMS, phone, email, and push until someone acknowledges the incident. It integrates with log/observability platforms such as Splunk.Atlassian Support+1
• Splunk Splunk On-Call — provides on-call schedules, escalation policies, and device notifications, with integrations into observability tooling.Splunk
• Datadog On-Call — an option if your log aggregator/observability stack is already Datadog. It has schedules, routing rules, escalation policies, and direct paging.docs.datadoghq.com+1

If you already have a separate log aggregator, I'd start by evaluating PagerDuty or Opsgenie: the aggregator detects the problem, sends an alert to the paging system, and the paging system figures out who is on call and keeps escalating until someone responds.

If you tell me which log aggregator you use (Splunk, Elastic, Datadog, Grafana, etc.), I can tell you the best-integrated option.