Better Stack vs Opsgenie: A Complete Comparison for 2026

If you're reading this, you probably already know Opsgenie has a hard deadline. Atlassian stopped selling new licenses on June 4, 2025, and the platform shuts down completely on April 5, 2027. So you're not comparing tools out of casual curiosity. You have a clock running.

The path Atlassian wants you to take is Jira Service Management. But here's the thing worth pausing on: JSM is a broad ITSM platform built around ticketing and service management workflows. Opsgenie was a focused, fast alerting tool. Getting equivalent functionality in JSM requires the Premium tier, which runs around $47.82 per agent per month. That's a 139% price increase over Opsgenie Standard just to maintain the same capabilities you already have.

Better Stack is worth a serious look before you commit. It covers everything Opsgenie did: on-call scheduling, alert routing, escalation policies, and incident coordination. But it also includes built-in uptime monitoring, log management, distributed tracing, status pages, and an AI SRE agent, all under a single per-responder price. This article covers both platforms honestly, including the areas where the Atlassian ecosystem still has the edge.

Quick comparison at a glance

Platform overview

Opsgenie was purpose-built for one thing: getting the right alert to the right person fast. It did that well. The routing rules engine, on-call schedule management, multi-channel notifications, and 200+ monitoring tool integrations were genuinely strong. If you've been running 24/7 operations on it, you know it works.

What Opsgenie never became was a full observability stack. It was always the router, not the source. You still needed Datadog or New Relic or Prometheus to actually generate signals, then a separate logging tool to investigate, then maybe a status page tool to communicate with customers. That stack tends to grow over time, and the glue between those tools is always your problem to maintain. What does that cost in engineering hours every month, across all the integrations you're keeping alive?

Better Stack: unified reliability platform

Better Stack started as an uptime monitoring and incident management tool and has expanded into a full observability platform. Logs, metrics, traces, uptime checks, error tracking, real user monitoring, and incident management all live in the same data store and share the same interface. When something breaks, you're not jumping between four products to understand what happened.

The video above shows how the full incident lifecycle works. A monitor fires, an incident gets created automatically, the on-call engineer gets notified via phone, SMS, Slack, or Teams, and the incident view already shows the monitor timeline, correlated log anomalies, and team communication in one place. You don't need to open a separate logging tool to figure out what went wrong.

eBPF-based telemetry collection captures traces, logs, and metrics at the kernel level without requiring SDK installation in any of your services. If you're migrating from Opsgenie and want to consolidate your observability tooling at the same time, this cuts the work down significantly.

OpenTelemetry-native from the ground up. Your instrumentation stays in open formats, you're not tied to proprietary collectors, and switching destinations later means changing a config line rather than rewriting your codebase.

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

Opsgenie: purpose-built alerting, now sunsetting

Opsgenie's strength was exactly its narrow focus. You could filter alerts by source, severity, tags, and time windows, then route them to the right team with the right escalation chain. The heartbeat monitoring feature let you catch when your monitoring pipeline had gone silent. On-call schedules handled complex multi-team rotations with timezone awareness and calendar exports. For pure alerting and on-call orchestration, it was very good.

G2 reviewers consistently praised its reliability and how well it fit into the Atlassian ecosystem. If your organization was deep in Jira, the integration was a genuine advantage. Alerts could automatically create Jira tickets, giving your IT teams a clean audit trail without any manual work.

But there's a limitation the shutdown now makes impossible to ignore: Opsgenie was always an aggregator. Every alert came from somewhere else. Every log investigation happened in a different tool. Every deployment correlation was a manual exercise. That was fine when the product had a future, but now that you're migrating anyway, it's worth asking whether the replacement should just be a better Opsgenie, or something that closes those gaps entirely.

Pricing comparison

The pricing comparison here is a bit unusual because Opsgenie isn't actually for sale anymore. New signups closed in June 2025. If you're an existing customer, you're riding out your current subscription term. The real pricing decision is between Better Stack and what Atlassian actually charges for equivalent JSM functionality, because that's what "staying with Atlassian" means in practice.

Better Stack: transparent per-responder pricing

Better Stack charges a flat rate per responder license, with logs, metrics, and traces priced separately by data volume. No per-feature module fees, no cardinality charges, no surprise indexing costs.

Pricing structure:

• Responder license (on-call, incident management, status pages, uptime monitoring): $29/month per responder
• Logs: $0.10/GB ingestion + $0.05/GB/month retention
• Traces: $0.10/GB ingestion + $0.05/GB/month retention
• Metrics: $0.50/GB/month
• Error tracking: $0.000050 per exception
• Monitors: $21/month per 50 additional monitors (10 included)

For a 5-responder team, that's $145/month as your base, which covers unlimited phone and SMS alerts, on-call scheduling, escalation policies, Slack-native incident management, status pages, uptime monitoring, and AI SRE. You add telemetry costs on top based on what you actually send. The pricing is published, linear, and requires no sales call to figure out.

Opsgenie: end-of-sale pricing (for reference)

These are Opsgenie's last published prices, which existing customers are still paying through their subscription terms:

• Free: up to 5 users, 100 SMS (account-wide), 1 routing rule maximum
• Essentials: $9.45/user/month (annual), basic incident management, 25 international SMS per user, up to 100 incidents/month
• Standard: $19.95/user/month (annual), unlimited incidents, heartbeat monitoring, SSO, unlimited SMS/voice (US/Canada), advanced alert actions
• Enterprise: $31.90/user/month (annual), incident command center, advanced post-incident analysis, conference bridges, stakeholder communications, unlimited data retention

A 5-person team on Standard was paying around $100/month. That's the number people naturally use when comparing. But it doesn't include uptime monitoring, log management, tracing, or status pages, all of which required separate tools or an Enterprise upgrade.

The real comparison: Opsgenie Standard vs JSM Premium

If you're considering the default migration path, here's what it actually costs. JSM Standard at $20/agent/month doesn't include voice notifications, unlimited SMS, or major incident workflows. Those are the features you already have on Opsgenie Standard. To get them in JSM, you need JSM Premium at around $47.82/agent/month on annual billing.

For a 5-person team, that's $239/month on JSM Premium versus $100/month on Opsgenie Standard. A 139% price increase to maintain equivalent functionality. Is the added ITSM surface area worth that? If your team actually uses change management, problem management, and deep Jira workflows, maybe. If you just need solid on-call alerting and incident coordination, probably not.

3-year TCO comparison (5-responder team)

Better Stack TCO includes telemetry for 100GB logs/month at standard rates. Opsgenie TCO includes estimated third-party monitoring cost for equivalent uptime checking. JSM Premium does not include monitoring or log management.

The total cost gap opens up fast once you account for the tools Opsgenie always needed alongside it. If you're currently paying for Opsgenie plus Pingdom plus Papertrail plus a status page tool, when did you last add those up? Better Stack likely consolidates that whole stack at a lower number.

Alerting and notifications

At the core, both platforms do the same thing: make sure the right person gets notified when something breaks. Where they differ is in what happens around that notification.

Better Stack: multi-channel alerting with built-in context

Better Stack delivers alerts via phone call, SMS, Slack, Microsoft Teams, email, and push notifications. If your team lives in Slack, incidents create dedicated channels automatically where you can acknowledge, escalate, and resolve without ever leaving the chat:

If you're on Microsoft Teams instead, you get the same native experience:

The bigger difference from Opsgenie isn't the channels, it's the context. When Better Stack fires an alert, the incident view already shows the monitor timeline, correlated log anomalies from the same time window, error tracking data, and the on-call rotation, all from the same data store. You're not starting blind and then logging into three other tools to understand what happened. Think about the last incident you worked: was the bottleneck getting the notification, or was it finding the right log line after the alert arrived?

Alert routing supports rules based on monitor group, severity, time window, and metadata, with escalation chains you can configure with time delays and conditional steps.

Multi-step incident verification fires checks from multiple locations before declaring an incident, which cuts down on false positives without needing you to build complex suppression rules.

Opsgenie: powerful routing engine, best-in-class at its scope

Opsgenie's routing engine was genuinely flexible. You could define up to 100 routing rules per team, filter on alert source, priority, tags, and custom fields, then route to different on-call schedules with separate escalation chains. For large organizations running multiple ops teams with different SLAs, that kind of granular routing was hard to beat.

Alert enrichment through action mappings let you attach runbooks, execute pre-defined actions, and pull in context from external sources before an alert ever reached a responder. The ITSM integrations could automatically create Jira issues or JSM tickets from any alert, which meant your IT teams had a full audit trail without any manual work.

The Slack and Teams integrations were bidirectional too. You could acknowledge and close alerts directly from Slack commands without ever opening the Opsgenie UI.

But here's the thing Opsgenie never solved: it couldn't tell you why the alert fired. Routing a Datadog alert to the right engineer is not the same as understanding what caused the alert. For that investigation, you were always going back to the originating tool. Does your team spend more incident time routing alerts, or trying to understand what those alerts actually mean?

On-call management

On-call scheduling is where the comparison is closest. Both platforms support rotation schedules, escalation policies, override calendars, and multi-channel notification delivery. The differences are in what's included at each price point.

Better Stack: scheduling built for modern teams

You get rotation-based schedules with timezone support, temporary overrides, escalation policies with configurable time delays, and calendar export to Google or Outlook. Here's an overview of how on-call scheduling works:

If you need more sophisticated routing, Better Stack supports multi-tier escalation policies with time-based rules and metadata filters. Route critical database alerts to the database team, route API alerts to the backend team, escalate anything unacknowledged within 5 minutes automatically:

Unlimited phone and SMS alerts are included with every responder license at $29/month. There's no international SMS overage on standard plans for reasonable usage, which matters a lot if your on-call rotation spans multiple countries.

The incident timeline gives you a second-by-second log of who was notified, when they acknowledged, what escalation steps fired, and how the incident resolved. That audit trail is useful both for post-incident learning and for any compliance documentation you need to produce.

Opsgenie: mature scheduling with deep Atlassian ties

Opsgenie's on-call scheduling was genuinely one of its best features. The schedule builder supported multi-layer rotations, temporary overrides from the mobile app, and timezone-specific schedules for globally distributed teams. On the Enterprise plan, the incident command center formalized responder roles and tracked conference bridge attendance, which worked well for large-scale major incident response.

For Atlassian shops, the scheduling tied into Jira in useful ways. You could auto-create Jira issues from incidents, link alerts to existing tickets, and see incident history alongside project work in a unified dashboard. That removed real friction if your team already lived in the Atlassian ecosystem.

There were real limitations at lower plan tiers though. SMS overages on Essentials ran $0.10 per notification for US/Canada and $0.35 internationally, which added up fast in high-volume environments. The free and Essentials plans limited routing rules to just one, making multi-team routing impossible without upgrading. And heartbeat monitoring, which lets you catch when a cron job or monitoring pipeline has silently failed, required Standard or Enterprise.

Is your current on-call setup simple enough that either platform covers it? Or do you have complex cross-team routing rules that depend on Opsgenie's advanced filtering? That's the question that determines how much this section matters for your evaluation.

Incident management

Both platforms treat incident management as central, but their scope differs in a way that matters more in 2026 than it did when Opsgenie was first adopted. Opsgenie was built around alert-driven incident creation and timeline tracking. Better Stack adds AI-powered investigation as part of the core product.

Better Stack: incident lifecycle with AI investigation

Incidents can be created manually, automatically from any monitor, or via API from external monitoring tools. The Slack integration creates dedicated incident channels automatically, so your team coordinates in the same place where the work already happens.

The part that's genuinely different from Opsgenie is the AI SRE. When an incident fires, it activates autonomously: analyzing the service map, reviewing recent log anomalies, checking for deployment correlation, and producing a hypothesis before you've opened a terminal.

At 3am, starting an investigation from a structured hypothesis with correlated evidence is a very different experience from starting from a bare notification. The time-to-resolution difference is real.

Post-mortems are generated automatically from incident timelines, with AI-assisted cause synthesis. The full incident history feeds directly into the post-mortem without anyone having to reconstruct it manually:

Stakeholder communication can go directly to your status page from the incident interface, no separate login required. And if you need Jira tickets created from incidents, Better Stack handles that with a single click:

Opsgenie: structured incident management with ITSM depth

Opsgenie's incident management was built around ITSM workflows, which made it strong for organizations where incidents needed to map to service catalog entries and link to change management records.

The service catalog let you define services, map alert sources to them, and automatically identify which service was impacted when an alert fired. For organizations with clear service ownership boundaries, that structure saved real time during incidents.

The incident command center on Enterprise formalized responder roles: incident commander, communication lead, scribe. Combined with conference bridge support and automatic stakeholder communication, it handled large-scale major incident response well.

Where Opsgenie fell short was investigation. Because it was an alert aggregator rather than a telemetry platform, the AI investigation space simply didn't exist. The alert arrived, a human investigated using external tools, and the post-mortem captured what they found. There was no shortcut. Better Stack's AI SRE closes that gap precisely because the telemetry lives in the same platform as the incident.

MCP server and AI capabilities

AI features in incident management tooling have moved from "nice to have" to a real differentiator fast. The question worth asking is whether the AI actually changes how incidents get investigated, or whether it's just a chat interface bolted onto the same old workflows.

Better Stack: AI SRE and production-ready MCP

Better Stack ships two distinct AI capabilities. The AI SRE handles autonomous incident investigation. The MCP server connects your external AI tools directly to your observability data.

The Better Stack MCP server is generally available to all customers, not in preview, not allowlisted. Claude, Cursor, and any MCP-compatible client can query your logs, check who's on-call, acknowledge incidents, and build dashboard queries through natural language:

Setup takes less than a minute:

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

From there, your AI assistant can query uptime monitoring data, check current incidents, review on-call schedules, search logs, and build dashboards, all without leaving your AI client. You can allowlist specific read-only tools or blocklist destructive operations to control what the assistant can actually do.

If you use Claude or Cursor as part of your daily engineering workflow, this means your AI assistant has real-time visibility into your production systems, not just what it learned during training.

Opsgenie: no AI features

Opsgenie didn't ship AI-powered incident investigation or an MCP server. There's no planned AI roadmap for Opsgenie because there's no planned future for Opsgenie. The product trajectory ended at the end-of-sale date.

JSM, the official migration target, does include Atlassian Rovo for AI-powered work assistance across the Atlassian platform. But Rovo is general-purpose. It doesn't autonomously investigate alert causation or connect to external AI coding tools via MCP. If you were planning to evaluate AI-assisted incident investigation "eventually," this migration is actually a natural moment to make that choice now. Why move to a new tool with the same AI capabilities as the one you're leaving?

Uptime monitoring

This is the most lopsided section in the comparison. Better Stack built uptime monitoring as a core product. Opsgenie never had it, and neither does JSM.

Better Stack: native uptime monitoring with incident integration

Better Stack uptime monitoring checks HTTP endpoints, TCP ports, DNS servers, SSL certificates, and cron job heartbeats from multiple global locations simultaneously. When a check fails, it triggers an incident automatically through the same incident management system, the same on-call routing, the same Slack channels:

Playwright-based transaction monitoring runs real browser sessions against your application on a schedule, checking that critical user flows like login, checkout, and form submission actually work end-to-end, not just that the server responds. This catches failures that a simple HTTP check would miss entirely:

Multi-step incident verification fires checks from multiple geographic locations before declaring a downtime event. This eliminates false alarms from transient network issues without requiring you to build complex suppression rules.

HTTP monitors can check as frequently as every 30 seconds. SSL certificate expiration monitoring alerts you before certificates expire. Domain expiration monitoring alerts before your domains lapse. These are the preventive checks that stop avoidable incidents before they happen.

Ten monitors and 10 heartbeats are included with no additional cost. Heartbeat monitoring detects when cron jobs, background workers, or monitoring pipelines have silently stopped running, something Opsgenie only offered on Standard and Enterprise plans. Here's how Better Stack's heartbeat monitoring works:

Opsgenie: dependent on external monitoring tools

Opsgenie had no native monitoring capability. Every alert had to originate from somewhere else. The 200+ monitoring integrations were the mechanism for receiving signals, but the signal generation itself was always external. To get an Opsgenie alert, you needed a monitoring tool running, configured, and healthy. If that monitoring tool had problems, Opsgenie's heartbeat feature could detect connectivity failures, but only on Standard and Enterprise.

If you're currently running Opsgenie plus Pingdom plus a log tool plus a status page, how many separate vendor invoices does that stack add up to? That's the real comparison, not just the per-seat Opsgenie price.

Status pages

What's the cost of your users finding out about an outage before you've published anything? That's the question status pages exist to answer, and it's where Opsgenie's tiered model created real friction. Better Stack includes them from the start.

Better Stack: status pages as standard

Better Stack status pages are available to every paid customer. They sync automatically with incident management, so when an incident is declared, you update the status page from the same interface you're already using. Subscriber notifications go out via email, SMS, Slack, and webhook, not just email:

Custom domains, custom branding, password protection, IP allowlisting, and SSO-authenticated private pages are available at add-on pricing. Scheduled maintenance windows publish to subscribers automatically. Your status page can embed live uptime charts directly from your monitor data, so there's nothing to update manually during an incident.

One status page is included with every responder plan. Additional public pages run $12/month. Custom CSS and white-labeling are available as add-ons.

Opsgenie: status pages on Enterprise only

Opsgenie's service status pages were only available on the Enterprise plan at $31.90/user/month. If you were on Essentials or Standard, you needed a separate tool: Atlassian Statuspage, Cachet, or something similar.

Even on Enterprise, Opsgenie's status pages were oriented toward internal service health views rather than public customer-facing communication. They tracked service health within the Atlassian ecosystem but didn't have the subscriber management and multi-channel notification that customers actually expect from a status page.

If you're currently on Opsgenie Standard and migrating, status pages represent either an upgrade cost or a new tool cost that didn't exist in your current budget.

Integrations

Both platforms connect to external tools, but the direction and purpose of those integrations are fundamentally different.

Better Stack: integrations that send data in

Better Stack's 100+ integrations across all major stacks, covering MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more, are primarily about pulling telemetry data in and routing incidents out. The MCP server lets you push data out to AI assistants. OpenTelemetry support means any OTel-compatible monitoring tool sends data natively without any custom configuration.

For log collection specifically, Vector gives you a powerful processing pipeline with transformation capabilities before data reaches Better Stack:

Zapier and the REST API handle custom integrations. A Terraform provider covers infrastructure-as-code configuration.

Opsgenie: 200+ alerting integrations

Opsgenie's 200+ integrations served a different purpose: receiving alert signals from monitoring tools and routing them. Datadog, New Relic, Prometheus Alertmanager, AWS CloudWatch, Nagios, Grafana, Splunk, PagerDuty, Jira, Confluence, essentially anything that could send a webhook was covered.

The bidirectional integration capability was a genuine strength. Alerts created in Opsgenie could sync back to Jira issues, close PagerDuty alerts when resolved, or update external ITSM tickets. For environments where incidents had to be tracked across multiple systems simultaneously, that kept everything in sync without manual updates.

The limitation was always the same: you could route a Prometheus alert through Opsgenie perfectly and still have no idea why it fired until you opened Grafana. The integrations were a pass-through, not a replacement for source data.

Log management and observability

Log management is one of the biggest capability gaps in this comparison. Better Stack has it natively. Opsgenie never did. If you're evaluating whether a move to Better Stack can also eliminate your separate logging tool, for most people running Opsgenie alongside Papertrail, Loggly, or a Datadog Logs subscription, the answer is yes.

Better Stack: unified log management included

Better Stack logs stores log data as structured events in the same warehouse as your metrics and traces. Every ingested log is immediately searchable with SQL or PromQL. There are no indexing decisions to make, no tiered storage to manage, no choosing which logs are worth keeping searchable:

Real-time Live Tail streaming lets you watch logs arrive as they happen, with filtering and highlighting to narrow to the relevant signal during an active incident. You query logs with the same SQL syntax you'd use for metrics and traces:

SELECT service_name, COUNT(*) as error_count
FROM logs
WHERE level = 'error'
  AND timestamp > NOW() - INTERVAL '1 hour'
GROUP BY service_name
ORDER BY error_count DESC

If you're currently paying for a separate log aggregator alongside Opsgenie, consolidating into Better Stack is often a net cost reduction rather than an addition to your bill.

Pricing is $0.10/GB ingestion + $0.05/GB/month retention, with no indexing fees and no tiered searchability. 3 GB is included free.

Opsgenie: logs not in scope

Opsgenie was never a logging tool and never tried to be. Alert payloads could include log excerpts when external tools embedded them in webhook bodies, but you couldn't search logs, set log-based alerts, or query historical log data from within Opsgenie.

When you needed to correlate an alert with log evidence, you were opening whatever logging tool you had: Datadog Logs, Papertrail, Elasticsearch, or something else. That context switch is exactly the friction Better Stack removes.

Worth noting: JSM doesn't include log management either. So if you migrate to JSM, your logging bill stays separate.

Reporting and analytics

Good operational analytics help you measure what actually matters: MTTA, MTTR, on-call load, and SLA performance. Both platforms offer reporting, but with different depth and different gating.

Better Stack: analytics available as add-on

Better Stack covers MTTA and MTTR tracking, on-call duty reports, SLA and SLI indicators, and incident cause synthesis through AI post-mortems. Historical uptime SLA reporting exports to CSV. You can analyze performance at the team member level to see how individual on-call response metrics track over time.

Reporting is available as an add-on at $4/member/month. It's not locked behind a plan tier, so you can enable it regardless of where you sit in the pricing structure.

The AI post-mortem piece is worth calling out on its own. Rather than just tracking that an incident happened and how long it took to resolve, Better Stack synthesizes the likely cause from the incident timeline and correlated telemetry. How many post-mortems at your organization have closed with "root cause: unknown" because the evidence wasn't preserved or connected properly? That starting point is meaningfully better than a blank template.

Opsgenie: analytics gated by plan tier

Opsgenie's analytics were comprehensive at the Enterprise level. Monthly overview analytics, operational efficiency reports, on-call performance metrics, DevOps metrics tracking, and post-incident analysis reporting were all available. The data covered team and individual performance, alert patterns, and response time trends.

The gating was the problem. Meaningful analytics beyond basic usage reports required the Enterprise plan at $31.90/user/month. If you were on Essentials or Standard, you had downloadable reports but limited trend analysis. For organizations that wanted to actually measure and improve their on-call operations, that was often what pushed teams toward Enterprise upgrades.

Enterprise readiness

For enterprise procurement, both platforms need to check compliance, access control, and support boxes. The honest summary is that Better Stack covers most standard enterprise requirements, and Atlassian's portfolio is broader for regulated industries.

Better Stack is SOC 2 Type II and GDPR compliant, with data stored in DIN ISO/IEC 27001-certified data centers. SSO is available via Google (included), Azure ($5/user/month), and Okta ($5/user/month). Generic SAML SSO is available at enterprise tier. SCIM provisioning, RBAC, and audit logs are all available. Data residency options cover EU and US regions, with optional hosting in your own S3 bucket. Enterprise customers get a dedicated Slack support channel and a named account manager.

Opsgenie, as part of the Atlassian ecosystem, carried SOC 2 Type II, GDPR, and ISO 27001 certifications. Atlassian Guard provides SSO, SCIM, and advanced security controls across Jira, Confluence, and Opsgenie without separate per-product configuration. For organizations already standardized on Atlassian, that unified security management layer was a genuine operational advantage.

Migrating to JSM also opens up FedRAMP compliance for US government customers on eligible plans. If FedRAMP is a requirement for you, the JSM path has it and Better Stack does not. But for organizations without those specific regulatory requirements, is paying for the full Atlassian compliance portfolio worth it when your actual requirements are SOC 2 and GDPR?

Final thoughts

Where you land here really depends on why you adopted Opsgenie in the first place. If you used Opsgenie primarily as an alert router, getting signals from Datadog or Prometheus to the right person on-call, and you were always managing the observability stack as separate tools, this migration is an opportunity to consolidate.** Better Stack replaces the Opsgenie use case entirely while adding uptime monitoring, log management, distributed tracing, status pages, and an AI SRE agent** at a total cost that's often lower than what you're currently spending across all those line items.

The clearest case for Better Stack: you're currently paying for Opsgenie plus some combination of a separate monitoring tool, a log aggregator, and a status page product. That whole stack collapses into one platform with one bill, one API, and one place to look when something breaks at 3am.

The clearest case for staying with Atlassian: your incident management is genuinely integrated with ITSM workflows that create operational value, your team lives in Jira, and you need FedRAMP or HIPAA compliance.

What Better Stack offers that no Atlassian migration path does: autonomous AI investigation that activates before a human touches the incident, an MCP server that connects your AI coding tools directly to production telemetry, and a platform built around production reliability rather than IT ticketing. For engineering-led organizations running modern application stacks, that's increasingly where the value is.

You have until April 2027. That's enough time to evaluate properly, but not enough time to put off. If you want to see how migration actually works in practice, Better Stack supports bulk monitor import to get your existing checks moved over quickly:

Start your free trial or reach out for a guided migration comparison if you want to see how your current Opsgenie setup maps to Better Stack.

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