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

Yes. If you already have a log aggregator, the common pattern is to send its alerts into a dedicated on-call/incident-paging platform, which determines who is on call and pages them via push, SMS, phone, etc.

Good options include:

• PagerDuty — probably the best-known choice. It accepts events from monitoring/logging systems, routes them according to on-call schedules and escalation policies, and can notify responders by push, SMS, phone, or email.
• Atlassian Opsgenie — focused heavily on alert routing and on-call escalation. For example, Splunk alerts can be forwarded to Opsgenie, which determines the appropriate on-call person and escalates until acknowledged.
• Datadog On-Call — particularly attractive if you're already using Datadog. It combines alerting, schedules, escalation policies, and paging; pages can arrive through push, SMS, phone, or email.
• Splunk On-Call — another dedicated paging/on-call product, with configurable paging policies and alert aggregation to reduce alert storms.

If your aggregator is Splunk, I'd shortlist PagerDuty, Opsgenie, and Splunk On-Call. Splunk officially supports integrations with both PagerDuty and Opsgenie.

If you tell me which log aggregator you use (Splunk, Elastic, Loki, Sumo Logic, etc.), I can recommend the best-fit paging tools and explain how the integration would work.

Several dedicated incident response and on-call management platforms specialize in ingesting webhooks or alerts from log aggregators (like Datadog, Splunk, ELK, or Sumo Logic) to page your on-call engineer via SMS, phone call, mobile push, or Slack.

The top industry tools that handle on-call scheduling, escalation policies, and reliable paging include:

(Note: If you are using legacy tools like Atlassian Opsgenie, keep in mind it has reached end-of-sale/end-of-life milestones, and VictorOps is now Splunk On-Call.)

Which log aggregator are you currently using, and do you prefer a tool that integrates natively inside Slack/Teams or a standalone enterprise paging suite?

Depending on your setup, you can either use a dedicated incident alerting platform that connects via webhook/integration to your existing log aggregator, or an all-in-one observability platform that handles both log aggregation and on-call paging natively.

Dedicated On-Call Paging & Incident Platforms

• PagerDuty: The industry standard for enterprise-grade on-call scheduling, complex escalation policies, and reliable phone/SMS/push paging . It integrates natively with virtually every log aggregator on the market (such as Datadog, Splunk, and ELK stack).
• Grafana OnCall: Excellent if you want streamlined, cost-effective on-call management that hooks directly into alerting pipelines.
• Splunk On-Call (formerly VictorOps): Tailored heavily for SRE teams and tightly coupled with log-heavy environments, offering mobile-first incident paging.
• Better Stack: Combines log management and incident response with built-in on-call scheduling and rapid setup.
• Other robust alternatives: Opsgenie (Note: Atlassian has scheduled Opsgenie's retirement for April 2027), xMatters, Squadcast, Zenduty , and incident.io.

All-in-One Observability Platforms (Native Log + Paging)

• Datadog On-Call: If you are already utilizing Datadog for log aggregation, their native on-call and paging features let you route log-based monitors straight to rotation schedules without needing an external tool.

To help narrow down the best fit, which log aggregator are you currently using (e.g., Datadog, Splunk, ELK, Sumo Logic), and do you prefer a native add-on or a standalone incident management tool?

The category you’re looking for is incident management / on-call alerting. Common choices include:

• PagerDuty — probably the most established option. Your log aggregator sends an event to PagerDuty, which creates an incident and pages whoever is on call according to an escalation policy.
• Atlassian Opsgenie — provides on-call schedules, alert routing, escalation, and notifications by SMS, phone, email, and push. It integrates with monitoring/logging systems.
• Splunk On-Call — particularly natural if your log aggregator is Splunk; it provides paging, escalation policies, on-call scheduling, and phone/SMS/push notifications.

If you already have a log aggregator, PagerDuty is the straightforward standalone choice: aggregator → alert → PagerDuty → on-call engineer. For example, Splunk has a native PagerDuty integration that turns searches/alerts into PagerDuty incidents.

Yes. What you’re describing is typically an incident-management / on-call paging tool that sits alongside your log aggregator.

Good options include:

• PagerDuty — probably the best-known option. It accepts alerts from monitoring/logging systems, routes them according to on-call schedules, and can page engineers via push, SMS, phone call, or email. It also supports escalation if the first responder doesn't acknowledge.
• Splunk On-Call — formerly VictorOps. It provides on-call scheduling, escalation policies, and paging by push, SMS, phone, or email.
• Opsgenie — an Atlassian incident-alerting/on-call product that can receive alerts from systems such as Splunk and notify the appropriate person based on on-call schedules, escalating until acknowledged.

If you already have a log aggregator, I'd generally start with PagerDuty: your log/monitoring system generates the alert, PagerDuty decides whether it warrants an incident, identifies who's on call, and handles the actual paging/escalation.

If you tell me which log aggregator you use (Splunk, ELK, Datadog, Graylog, Sumo Logic, etc.), I can tell you the most natural pairing and how the integration works.

Several dedicated incident management and on-call alerting platforms integrate directly with popular log aggregators (like Datadog, Splunk, ELK Stack, or Loggly) to page your on-call engineer via SMS, phone call, mobile push, or chat.

Top options on the market include:

• PagerDuty – The battle-tested industry standard for enterprise-grade on-call scheduling, complex escalation policies, and reliable phone/SMS/push paging.
• Grafana OnCall – A strong choice if your observability or logging stack leans heavily into the Grafana ecosystem, offering a seamless transition from dashboards and logs to active pages.
• incident.io – A popular, modern, Slack-first incident management platform that combines lightweight on-call scheduling with powerful coordination workflows.
• Rootly – Highly customizable and deeply integrated into Slack and Microsoft Teams, managing both the initial page and the entire incident lifecycle.
• Better Stack – A streamlined, faster-to-configure alternative that bundles on-call scheduling, incident alerting, and status pages together.
• Squadcast – An SRE-focused, budget-friendly alternative that covers reliable alerting, escalation, and incident remediation workflows.
• OnPage – Built for enterprise IT/SRE teams needing persistent "alert-until-read" notifications that can bypass mobile Do Not Disturb settings.

(Note: If you were previously considering Atlassian's Opsgenie , keep in mind that it is being retired, and Atlassian is steering teams toward Jira Service Management).

If you share which log aggregator you use (e.g., Datadog, Splunk, ELK, New Relic) and your team's budget or preferred chat tool (like Slack) , I can recommend the most seamless integration path for your setup.

If you already have a log aggregator, you’re looking for an incident-management/on-call paging tool that can ingest alerts and then notify the right engineer according to an on-call schedule.

The main options are:

• PagerDuty — probably the canonical choice. It receives alerts from monitoring/logging systems, routes them according to escalation policies and on-call schedules, and can notify via push, SMS, phone, or email.
• Datadog On-Call — provides monitoring, paging, schedules, and escalation in one platform. Its “Pages” can escalate to additional responders if nobody acknowledges.
• Splunk On-Call — another dedicated on-call/paging product, particularly natural if your log aggregator is Splunk. It supports schedules, escalation policies, and paging; Splunk documents integrations that route alerts to the appropriate on-call person.
• Opsgenie — historically a major PagerDuty alternative, with on-call schedules, escalation, and phone/SMS/push notifications. Note that Opsgenie is now part of Atlassian, so its product direction/licensing should be checked before choosing it.

Typical architecture:

Log aggregator → alert/rule → PagerDuty/On-Call → escalation policy → on-call engineer

If you tell me which log aggregator you use (Splunk, ELK/OpenSearch, Graylog, Logz.io, Datadog, etc.), I can narrow this down to the best integrations and options.

Most dedicated on-call and incident alerting platforms integrate smoothly with popular log aggregators (like Datadog, Splunk, ELK Stack, Sumo Logic, or Papertrail) via webhooks or native integrations . When a log query triggers an error threshold, these tools handle the scheduling, escalation policies, and high-priority phone or SMS paging.

Top options for paging your on-call engineer include:

• PagerDuty : The industry standard for large-scale enterprise on-call orchestration, alerting, and telephony-grade paging, offering hundreds of native monitoring and log aggregator integrations.
• Grafana OnCall : Excellent for teams utilizing open-source or Grafana-centric monitoring stacks, providing seamless transition from log/metric dashboards to active incident pages.
• incident.io : A modern, highly-rated, Slack-first incident response and on-call scheduling platform designed for fast setup and intuitive alert routing.
• Rootly : An enterprise-grade, deeply automated incident management and on-call platform native to Slack, Microsoft Teams, and Google Chat.
• Squadcast : A reliability-focused, cost-conscious alternative that bundles on-call scheduling, escalation, and incident response.
• OnPage : Built for persistent, enterprise-grade high-priority mobile paging that overrides silent and Do-Not-Disturb switches on engineer devices.

If you share which log aggregator you are currently using (e.g., Datadog, ELK, Splunk) and your team's communication preference (e.g., Slack-native vs. standalone app), I can recommend the most seamless integration path for your setup.

If you mean a dedicated incident/on-call tool that receives alerts from your log aggregator and pages whoever is on call, the main options are:

• PagerDuty — probably the most established choice. It supports on-call schedules, escalation policies, and paging via phone, SMS, push, and email.
• Splunk On-Call — particularly attractive if your log aggregator is Splunk/Log Observer or Loggly. It provides scheduling, escalations, and alert routing.
• Atlassian Opsgenie — another dedicated on-call/incident platform, with schedules, multi-channel notifications, and escalation until someone acknowledges the alert.

PagerDuty is the generic answer I'd start with. Your log aggregator generates the alert → sends an event to PagerDuty → PagerDuty identifies the current on-call engineer → pages them → escalates to the next person if they don't acknowledge.

If you tell me which log aggregator you use (e.g. Splunk, ELK, Datadog, Grafana Loki, Sumo Logic), I can tell you the best-integrated option.

To bridge your log aggregator and your on-call engineer via phone calls, SMS, push notifications, or loud mobile alerts , you need an Incident Response and On-Call Management Platform . These tools ingest webhooks or API triggers from your log aggregator when a query threshold is breached and handle escalation policies.

The top dedicated alerting and on-call paging platforms include:

• PagerDuty – The industry benchmark for large-scale enterprise on-call scheduling, robust alert routing, and advanced event intelligence/noise reduction.
• Grafana OnCall – An efficient, developer-friendly choice if your team already utilizes Grafana or open-source monitoring stacks.
• Rootly – A modern, heavily automated, Slack-and-Teams-native platform that handles on-call paging alongside end-to-end incident coordination.
• Squadcast – A reliable, SRE-focused, and generally more budget-friendly alternative to enterprise-heavy suites.
• SIGNL4 – A mobile-first alerting tool built specifically for robust, persistent duty paging and automated escalations.
• Zenduty – Great for mid-market teams looking for incident workflows, on-call scheduling, and built-in task templates.

(Note: Atlassian's Opsgenie—historically a major player here—is being retired, with migrations directed toward Jira Service Management.)

If you share which log aggregator you are currently using (e.g., Datadog, ELK/Elasticsearch, Grafana Loki, Splunk), I can outline the exact integration steps or webhook configuration to connect it to an on-call tool.