Better Stack vs FireHydrant: A Complete Comparison for 2026

Most platform comparisons write themselves. One side has more features, the other costs less, and the tables do the heavy lifting. FireHydrant doesn't fit that pattern neatly, and neither does the decision you're actually trying to make.

FireHydrant was built by engineers who'd genuinely felt the friction of glued-together incident tooling: one product for alerting, a different one for on-call, another for post-mortems, and Slack filling in the gaps between all of them. Their answer was to replace that entire stack with a single platform built specifically around the incident lifecycle. That's not a small ambition, and for teams whose core need is structured, repeatable incident response, they've pulled it off.

Better Stack is making a different argument. Observability and incident management shouldn't live in separate tools because the moment they do, you lose context exactly when you need it most. You shouldn't have to pivot between platforms to get from "something looks wrong in the logs" to "the right engineer is paged and already knows what the service map looked like when the alert fired." Better Stack handles logs, metrics, traces, error tracking, uptime monitoring, on-call, and status pages together, with pricing tied to data volume rather than seat count.

So this isn't really a features race. The real question is which platform matches the way your team actually operates. Before we get into that: FireHydrant announced in December 2025 that it's being acquired by Freshworks, a move that will almost certainly reshape where the product goes from here.---

Quick comparison at a glance

Platform architecture

The most consequential difference between Better Stack and FireHydrant isn't on any feature list. It's what each platform assumes you already have.

FireHydrant treats monitoring as a solved problem. You've already got Datadog or Grafana or PagerDuty ingesting your telemetry; FireHydrant connects to those signals and handles everything from the moment an alert fires forward: declaration, coordination, communication, retrospective. That assumption works well if your monitoring stack is mature and you want to add structured incident process on top without ripping anything out.

Better Stack makes the opposite bet. It argues that keeping observability and incident management in separate tools creates exactly the context-switching overhead that slows incident response down. When an alert fires in Better Stack, the on-call engineer sees the service map, the relevant logs, and the trace for the failing request in the same interface that paged them. No pivot to another product, no manual correlation.

Better Stack: observability-native incident management

Better Stack's architecture is built around a unified data warehouse where logs, metrics, and traces sit alongside each other. The eBPF-based collector captures telemetry at the kernel level without requiring SDK instrumentation in each service. When incidents fire, all the context that matters is already there.

What makes this architecture relevant for incident management specifically: every alert that Better Stack generates is grounded in actual telemetry data. You're not relying on a monitoring tool to push signals to a separate incident platform and hoping the context survives the handoff. The alert knows what logs looked like before it fired, which services are connected to the affected one, and what recent deployments touched that stack.

Single query language across all data types means your on-call engineer doesn't need to switch mental models mid-investigation. SQL or PromQL works across logs, metrics, and traces. The investigation is one interface, not four.

OpenTelemetry-native collection means your instrumentation data isn't locked to Better Stack's format. If your team already runs OTel collectors, Better Stack ingests the data directly. If you want to move platforms later, you change a configuration line, not your codebase.

FireHydrant: incident-lifecycle platform

FireHydrant's architecture centers on what happens after something is already going wrong. The platform's core abstractions are incidents, services, runbooks, and teams, not logs or metrics. It integrates with the monitoring tools that generate signals (PagerDuty, Datadog, Grafana, PagerDuty, AWS CloudWatch) and takes over once a signal warrants an incident.

This design makes FireHydrant genuinely fast to adopt if you're not replacing your monitoring stack. You configure your alert sources, connect Slack, define your services in the service catalog, and you're operational. The initial setup focuses on process, not instrumentation.

The tradeoff is that FireHydrant's view of an incident is limited to what your other tools surface. If your monitoring setup has blind spots, FireHydrant inherits them. The platform coordinates response well; it doesn't discover problems independently.

Pricing comparison

This is where the comparison gets interesting, because both platforms have taken explicitly anti-complexity stances on pricing, though they've landed in different places.

FireHydrant's Pro plan charges $25 per responder per month, billed annually. Signals (its on-call and alerting product) adds usage-based charges on top of that: up to 50 SMS/phone alerts per month are included, with additional usage priced beyond that. The Free tier covers up to 10 responders with limited runbooks, integrations, and one status page. Enterprise pricing is custom and requires a sales conversation. AI features (incident summaries, call transcription, retrospective drafts) are Enterprise-only.

Better Stack charges by data volume: $0.10/GB ingestion plus $0.05/GB/month retention for logs and traces, $0.50/GB/month for metrics, $0.000050 per exception for error tracking, and $29/month per responder (unlimited phone and SMS included). No cardinality penalties. No separate charges for OpenTelemetry data. No per-host or per-module fees.

Better Stack: volume-based, no hidden multipliers

Pricing structure:

• Logs: $0.10/GB ingestion + $0.05/GB/month retention (100% searchable, no indexing fees)
• Traces: $0.10/GB ingestion + $0.05/GB/month retention (no span indexing)
• Metrics: $0.50/GB/month (no cardinality penalties)
• Error tracking: $0.000050 per exception
• Responders: $29/month (unlimited phone/SMS)
• Monitors: $0.21/month each

Example: 25-engineer team with full-stack observability

• Telemetry (1TB logs/month): $150
• 5 Responders: $145
• 50 Monitors: $10.50
• Error tracking (2M exceptions): $100
• Total: approximately $405/month

That $405 covers logs, metrics, traces, error tracking, incident management, status pages, and on-call. There's no separate line item for observability versus incident management. What's the cost if you need to add a new service to your stack? The same per-GB rate, nothing more.

FireHydrant: per-responder plus usage

FireHydrant's pricing is cleaner than most incident management tools, but it's also narrower in scope. You're paying for incident process, not for observability. Your monitoring costs are separate, whatever platform you're currently running.

Pricing structure:

• Free tier: up to 10 responders, 2 runbooks, 3 integrations, 1 status page
• Pro: $25/responder/month (billed annually)
• Signals add-on: included with Pro, but SMS/phone alerts beyond 50/month incur usage charges
• Enterprise: custom pricing (AI features, audit logs, SCIM, private status pages, unlimited everything)

Example: 25-engineer team on Pro with 5 responders

• 5 Responders: $125/month
• Plus your existing monitoring tool (Datadog, Grafana, etc.)
• FireHydrant alone: $125/month, but total stack cost is higher

The honest accounting: a team migrating to FireHydrant from, say, PagerDuty saves meaningfully on on-call tooling. But if you're comparing total cost of ownership against Better Stack, you need to include whatever you're spending on monitoring. For teams already committed to a monitoring platform they're not leaving, FireHydrant's per-responder model is predictable and fair. For teams evaluating their entire observability stack, Better Stack's all-in pricing is usually lower.

G2 reviewers note that FireHydrant "can get pricey" as teams grow, particularly when AI features are needed (Enterprise tier) or when SMS/phone alert volume is high.

Cost comparison: 3-year TCO (5 responders, full incident management)

This comparison assumes Better Stack covers the full observability + incident management stack, while FireHydrant is paired with a mid-tier monitoring tool.

Estimates based on 1TB/month log volume for Better Stack and a typical mid-tier monitoring tool at $500/month for FireHydrant teams.

There's a secondary pricing consideration that doesn't show up in per-seat math: setup and migration overhead. FireHydrant requires configuring integrations with each monitoring tool you run, defining your service catalog, and writing runbooks for your incident workflows. That's meaningful upfront effort, though it's a one-time cost, not a recurring one. Better Stack's eBPF collector deploys as a Kubernetes DaemonSet and begins collecting data automatically within hours. For teams with many services, the instrumentation savings alone can represent meaningful engineering time recovered.

How many services in your stack still aren't fully instrumented in your current monitoring setup? For most engineering organizations, the honest answer is "several." That uninstrumented surface area is a real operational risk, and eBPF-based collection closes it without a sprint of SDK integration work.

Alerting and on-call (Signals)

On-call is where FireHydrant has invested most heavily, and it shows. Their Signals product is genuinely thoughtful, with a pricing model that charges per alert sent rather than per seat, flexible CEL-powered routing rules, and tight integration with the rest of the incident lifecycle.

The key question here is where your alerts originate. If they come from a monitoring tool that FireHydrant connects to, Signals routes them, deduplicates them, and decides who gets paged. If they come from Better Stack's own monitors, Better Stack pages directly without an intermediary hop.

Better Stack: incident management built on your own monitors

Better Stack incident management generates alerts from monitors you define across your own logs, metrics, traces, and uptime checks. Because the monitoring data and the incident management platform share the same data warehouse, the on-call engineer who receives a page sees the full context immediately.

Better Stack's on-call includes rotation management, timezone-aware schedules, multi-tier escalation policies, and unlimited phone/SMS delivery at $29/responder/month. Watch how on-call rotations are configured:

For teams running incidents in Slack, Better Stack creates dedicated incident channels with investigation tools built in:

Advanced escalation flows support multi-tier policies with time-based rules and metadata filters, similar to what enterprise teams typically configure in PagerDuty:

FireHydrant: Signals

FireHydrant's Signals product separates the concepts of "alert" and "incident" explicitly, which is one of its most distinctive design choices. An alert coming in from a monitoring tool doesn't automatically become an incident. Engineers can acknowledge it, dismiss it, or escalate it to a declared incident. That distinction matters on noisy platforms where not every alert warrants a full incident response.

Routing and filtering use Common Expression Language (CEL) for alert routing, which gives engineering teams precise control over where alerts land and when. Multiple teams can subscribe to the same event, making it straightforward to assemble an all-hands response when severity warrants it.

Notification channels include native iOS and Android apps, Slack, Microsoft Teams, WhatsApp, SMS, voice, email, and push. The breadth of channels is genuine and covers most team communication preferences.

Schedules support flexible rotations with Slack-command adjustments on the fly. On-call schedules integrate with the service catalog so the right team is automatically paged for the affected service.

Is your current alerting setup generating more noise than signal? Signals' alert-versus-incident separation is genuinely useful for teams dealing with high-volume, low-severity alert streams.

Incident response workflow

Once something is declared an incident, both platforms focus on the same core problem: assembling the right people, tracking what's happening, and getting to resolution without losing information. They approach that problem differently.

FireHydrant's runbook automation is the more sophisticated system. Runbooks can be triggered manually or automatically based on severity, impacted service, or custom fields. They create Slack channels, start and transcribe video calls, assign roles from the service catalog, notify stakeholders, and post status page updates, all without manual coordination. For teams with well-defined incident processes, that automation removes a significant amount of cognitive overhead from the first minutes of an incident.

Better Stack's workflow centers on the unified observability context. The assumption is that knowing what's wrong quickly is more valuable than automating what to do about it quickly. The two approaches aren't mutually exclusive, but they reflect different theories of where incident response time is actually lost.

Better Stack: context-first response

Better Stack's incident interface surfaces the service map, recent log anomalies, active traces, and related metrics together. When the alert fires, the engineer who picks it up isn't starting from a blank incident ticket; they're starting from a hypothesis grounded in actual telemetry.

Post-mortems are generated automatically from the incident timeline:

The Slack-native workflow means incidents are managed where engineers already work. Dedicated incident channels, embedded investigation tools, and automatic timeline capture happen without switching to a separate web interface.

FireHydrant: runbook-driven response

FireHydrant's runbooks automate the organizational overhead that slows early incident response: channel creation, video call setup, stakeholder notification, role assignment. For organizations where those first-minutes coordination steps are consistently painful, runbooks eliminate them.

Role assignment pulls from the service catalog automatically. If the impacted service is owned by the payments team, the payments team lead is assigned the incident commander role without a manual lookup. Non-engineering stakeholders (support, legal, PR) can be included in the runbook automatically when severity warrants it.

AI-enriched summaries (Enterprise tier) generate real-time status updates during incidents, keeping stakeholders informed without requiring an engineer to stop and write an update. Call transcription from Zoom and Google Meet captures what was said without anyone needing to take notes.

Retrospective drafts are generated when an incident resolves, pulling contributing factors, timeline, and suggested action items from the incident data. Teams can edit and publish rather than starting from scratch.

One limitation worth noting: FireHydrant's AI features (summaries, transcription, retrospective drafts) are Enterprise-only. If you're on Pro, you don't get them. That's a meaningful restriction for growing teams that aren't yet at enterprise scale.

Runbooks

FireHydrant's runbook engine is one of its most differentiated features, and it's worth treating separately. This is the part of FireHydrant that earns the most genuine praise from users: the ability to encode your incident process once and have it execute consistently regardless of which engineer is on call.

Better Stack: escalation policies

Better Stack handles the escalation and notification side of incident process through policies, but it doesn't have a general-purpose runbook automation engine equivalent to FireHydrant's. If your incident workflow involves complex multi-step coordination across teams and systems, FireHydrant's runbooks are more capable for that specific use case.

What Better Stack does instead: because the telemetry context is already present, the AI SRE can suggest investigation steps based on what it finds in the data. The automation is investigation-focused rather than coordination-focused.

FireHydrant: automation-first runbooks

FireHydrant's runbooks can trigger any combination of: creating Slack channels, posting to status pages, assigning roles, notifying external systems via webhook, starting video calls, sending templated stakeholder emails, creating Jira or Linear tasks, and more. Triggers can be manual, time-based, or condition-based (severity level, impacted service, custom field values).

For organizations with regulatory or compliance requirements around incident documentation, runbooks enforce consistency that's otherwise difficult to achieve when incidents are chaotic. Every SEV-1 follows the same steps, every time.

The Pro plan limits users to 5 runbooks. Unlimited runbooks require Enterprise. For teams that need more than 5 distinct incident workflows (different processes for different services, severities, or incident types), that's a limiting constraint that pushes toward Enterprise.

Service catalog

FireHydrant's service catalog is a genuine feature that Better Stack doesn't currently match as a standalone capability. It functions as the connective tissue between services, teams, incidents, and runbooks: when service X is impacted, the catalog knows who owns it, what its dependencies are, what runbook applies, and where the relevant dashboards live.

FireHydrant: catalog as operational backbone

The service catalog integrates with Kubernetes, GitHub, Terraform, and Backstage to stay automatically up to date. You're not maintaining a spreadsheet of service ownership; the catalog updates as your infrastructure changes.

Readiness checklists let teams define production requirements for each service and track compliance before deployment. If a service doesn't meet its readiness checklist, the catalog surfaces that before it causes an incident.

Impact-based routing means that when an incident touches a specific service, the runbook for that service fires automatically, the right team is notified, and recent deployments to that service are surfaced as potential contributing factors.

Better Stack: service context through observability

Better Stack surfaces service relationships through its service map (derived from distributed tracing) rather than a manually maintained catalog. The tradeoff: if Better Stack's eBPF collector has instrumented your services, their relationships are discoverable automatically. If services aren't instrumented, they don't appear.

For teams where service ownership and on-call routing need to be explicitly defined and governed, FireHydrant's catalog approach is more structured. For teams where service relationships can be inferred from telemetry, Better Stack's automatic discovery is less administrative overhead.

Retrospectives and incident analytics

What a team does after an incident determines whether they get better at handling the next one. Both platforms invest here, though FireHydrant makes retrospectives a more structured, product-level concern.

Better Stack: automatic post-mortems

Better Stack generates post-mortems automatically from the incident timeline, capturing what happened, when alerts fired, what changes were made, and how long each phase took. The post-mortem is populated from real incident data rather than requiring manual reconstruction from memory and Slack history.

Incident analytics are available on all plans, tracking response times, alert volumes, and incident patterns across teams.

FireHydrant: structured retrospectives with AI drafts

FireHydrant treats retrospectives as a first-class product feature. The AI-generated retrospective draft (Enterprise) analyzes incident data to suggest contributing factors, a timeline, and prioritized action items. Teams edit and publish rather than starting from a blank template.

Multiple retrospective templates let different teams follow different formats: blameless post-mortem, five whys, learning review. Template libraries mean teams don't need to define process from scratch.

Incident analytics (Enterprise only) track MTTR, MTTD, repeat incidents, and alert-to-incident ratios across services and teams. The analytics surface which services generate the most incident load and which teams have the longest resolution times, giving engineering leadership data to prioritize reliability investment.

The analytics restriction to Enterprise is worth flagging. MTTR data is one of the most fundamental engineering metrics; limiting it to Enterprise creates an odd situation where smaller teams who arguably need the insight most can't access it.

Observability (logs, metrics, traces)

This is where the comparison becomes asymmetric. FireHydrant has no observability features. It doesn't ingest logs, store metrics, or capture traces. It's an incident management platform that assumes you're running observability elsewhere.

Better Stack is a full-stack observability platform that also does incident management. If you're comparing these products specifically for observability, FireHydrant isn't in the conversation.

Better Stack: full-stack observability

Better Stack logs makes all ingested logs immediately searchable via SQL or PromQL, with no indexing decisions required:

Building charts from log queries:

Better Stack metrics supports full PromQL with no cardinality penalties:

Better Stack APM captures traces via eBPF, zero code changes required:

Frontend-to-backend correlation connects browser sessions to backend traces in a single view. When a slow page load fires an alert, you can trace it from the frontend request through every backend service and database call without switching products.

100+ integrations covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more.

FireHydrant: no observability

FireHydrant doesn't offer logs, metrics, traces, RUM, or error tracking. If you need those, you'll be running a separate platform alongside FireHydrant. That's a legitimate architecture; many teams prefer best-of-breed tools. But it means your total cost and your incident context are always split across systems.

AI capabilities

Both platforms have made genuine AI investments, though they're focused on different problems. Better Stack's AI SRE aims to automate the investigation phase of incident response. FireHydrant's AI capabilities aim to automate the documentation and communication overhead.

Better Stack: AI SRE

Better Stack's AI SRE activates during incidents without requiring a prompt. It queries the service map, reviews recent logs, checks recent deployments, and produces a hypothesis about the likely root cause. At 3am, this means the engineer who wakes up isn't starting from zero; they're starting from "the AI thinks it's this, here's why."

Better Stack MCP server connects Claude, Cursor, and other MCP-compatible clients directly to your observability data. Your AI coding assistant can query your logs, check who's on call, acknowledge incidents, or generate dashboard queries through natural language:

{
  "mcpServers": {
    "betterstack": {
      "type": "http",
      "url": "https://mcp.betterstack.com"
    }
  }
}

The MCP server is generally available to all Better Stack customers, not in preview or restricted to enterprise tiers.

FireHydrant: AI-enriched incident management

FireHydrant's AI features focus on documentation and communication. During an active incident, AI generates status updates from Slack activity so engineers don't have to stop and write them. Call transcription captures what's said in Zoom and Google Meet meetings automatically. When the incident closes, an AI-drafted retrospective gives teams a head start on the post-incident review.

These capabilities are genuinely useful and reduce real cognitive overhead during incidents. The limitation is that they require the Enterprise tier. Teams on Pro don't get AI summaries, transcription, or retrospective drafts. FireHydrant's AI also doesn't have access to your telemetry data (since FireHydrant doesn't store it), so it can't investigate or hypothesize about root causes the way Better Stack's AI SRE can.

Which is more valuable depends on where your incident overhead actually lives. If the bottleneck is investigation time (figuring out what's wrong), Better Stack's AI SRE addresses that directly. If the bottleneck is coordination overhead (keeping stakeholders updated, documenting what happened), FireHydrant's AI addresses that.

Status pages and customer communication

When your users are affected by an incident, how they find out matters as much as how fast you resolve it. Both platforms include status pages, though they're positioned differently.

Better Stack: built-in status pages

Better Stack Status Pages syncs automatically with incident management. When an incident is declared, the status page updates. When it resolves, subscribers are notified.

Subscriber notifications go out via email, SMS, Slack, and webhook. Public and private pages are supported, with custom branding, custom domains, password protection, and SAML SSO for private pages. Advanced features include custom CSS, scheduled maintenance windows, multi-language support, and service organization by metadata.

FireHydrant: status pages with runbook integration

FireHydrant includes public and private status pages as part of its platform. Status page updates can be automated through runbooks, so when a SEV-1 runbook fires, stakeholder notification and status page update happen in the same automated flow.

The Free plan includes one public status page. Pro includes unlimited public status pages. Private status pages (with authentication) require Enterprise. Subscriber notifications are included, with notification channels integrated through the platform's standard communication setup.

The runbook integration is genuinely useful: status page updates happen as part of the incident response process rather than as a separate manual step someone has to remember.

Enterprise readiness

Both platforms have credible enterprise stories, though FireHydrant's story now comes with a footnote: the Freshworks acquisition changes its roadmap trajectory in ways that aren't yet fully defined.

Better Stack covers the compliance and access control requirements most enterprise procurement teams look for: SOC 2 Type II, GDPR, SSO via Okta/Azure/Google, SCIM provisioning, RBAC, audit logs, and data residency options. Enterprise plans include a dedicated Slack support channel and a named account manager.

FireHydrant's Enterprise tier includes SSO, SCIM, RBAC, audit logs, Slack Enterprise Grid support, multiple organizations, data exports, and SLAs. Support includes a dedicated customer success manager and solutions engineer. The compliance posture is similar to Better Stack's (SOC 2, GDPR), without specific disclosures around HIPAA or FedRAMP on their public pages.

The acquisition question is legitimate to raise. FireHydrant has been absorbed into Freshworks, a company with a very different product surface area (customer service, ITSM, CRM). What that means for FireHydrant's independent roadmap, pricing, and product velocity over the next 12-24 months is genuinely uncertain. Teams making a multi-year platform decision should factor that in.

Enterprise checklist:

Integrations

Integration breadth matters differently for each platform. For Better Stack, integrations connect your existing toolchain to Better Stack's own data collection. For FireHydrant, integrations are the data pipeline: without them, FireHydrant has no visibility.

Better Stack connects natively to 100+ sources covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more. The MCP server adds AI assistant integration that most observability platforms don't have yet.

FireHydrant's integration library covers monitoring tools (Datadog, Grafana, PagerDuty, AWS CloudWatch, New Relic, Dynatrace), communication platforms (Slack, Microsoft Teams), ticketing systems (Jira, Linear, ServiceNow), deployment tools (GitHub, LaunchDarkly), and video conferencing (Zoom, Google Meet). The breadth is strong for an incident management tool.

What does your current monitoring stack look like? If you're deeply invested in Datadog or another major observability platform, FireHydrant's integration approach means you don't have to migrate that data. If you're evaluating your observability stack alongside your incident tooling, Better Stack's native collection removes the integration layer entirely.

A useful way to think about this: integration-based architectures create a data handoff problem. When a Datadog alert fires and lands in FireHydrant, the incident context is whatever Datadog chose to include in the alert payload. The rest of your telemetry (the surrounding log lines, the traces that ran in the minutes before the alert fired, the service map relationships) stays in Datadog, and the on-call engineer switches to Datadog to investigate. FireHydrant coordinates the response; Datadog holds the evidence. That split is manageable, but it's a real friction point at 2am.

Better Stack eliminates the handoff by keeping evidence and response tooling in the same place. When the alert fires, the evidence is already attached to the incident. Is that architectural difference worth the cost of migrating your observability stack? For teams unhappy with their current monitoring costs or complexity, often yes. For teams that have already invested heavily in a monitoring platform they're satisfied with, probably not.

Final thoughts

FireHydrant is a genuinely good product. The runbook automation engine is the best in its class, the service catalog gives incident routing real structure, and the Slack-native workflow is something engineers actually want to use rather than tolerate. If your monitoring setup is already where you need it and the missing piece is consistent, repeatable incident process, FireHydrant solves that problem well.

Better Stack is the stronger choice when you're looking at the full picture, not just the incident layer. When observability and incident management share the same data platform, context stops disappearing between systems. The AI SRE investigates from actual telemetry, not reconstructed Slack threads. And once you factor in what you'd otherwise spend on a separate monitoring tool, the total cost usually comes out lower.

The simplest way to think about which one fits: if your monitoring stack is mature and you're not replacing it, and the real pain is that your incident process is inconsistent or manual, FireHydrant is a focused, well-executed solution. If you're evaluating your observability stack alongside your incident tooling, or you're tired of paying for and maintaining multiple tools that only partially talk to each other, Better Stack is the more complete answer. Volume-based pricing, a stable independent roadmap, an AI SRE that works from real telemetry, and an MCP server that's actually production-ready today rather than gated behind a preview waitlist.

That last point about the roadmap deserves a direct statement. Freshworks is an ITSM and customer service company. FireHydrant was built for engineering and DevOps teams. Those are different buyers with different problems and different product cultures. The acquisition might produce something genuinely better, or it might produce something that slowly drifts from what made FireHydrant worth using in the first place. Nobody knows yet, including Freshworks. If you're choosing a platform you'll still be running in 2027, that uncertainty is a real variable in the decision.

Start your Better Stack free trial and see how it handles your incident workflow end to end, from first alert through post-mortem, without switching tools.

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