AlertiGate
AlertiGate is a self-hosted Kubernetes incident investigation tool that correlates alerts across Prometheus metrics, Loki logs, cluster state, Argo CD deployments, and Git history to identify root cause and recommend fixes. It delivers incident reports with evidence timelines and change proposals to Slack or Teams without requiring manual log digging. The tool operates read-only, holding only get and list permissions on Kubernetes, and runs as a single container with no database, queue, or node agents. Agencies deploy it via Helm chart and use it to reduce MTTR for clients managing Kubernetes infrastructure, particularly those already instrumented with Prometheus and Loki.
AlertiGate is a self-hosted Kubernetes incident investigation tool, integrating with Prometheus, Loki, Kubernetes, and Argo CD. InnovaAI scores it 5.2/10 for agency resale.
Agency Audit
AlertiGate automates Kubernetes incident investigation by correlating alerts across Prometheus metrics, Loki logs, cluster state, Argo CD deployments, and runbooks to surface root cause and remediation steps in Slack or Teams. It's built for agencies managing Kubernetes infrastructure for clients and SRE teams handling high alert volumes. The read-only, self-hosted design eliminates write risk and database overhead. Agencies can resell this as a managed incident response retainer for clients running Kubernetes, but should expect to handle deployment and integration configuration themselves.
5.2/10
Depends on volume
2d 1-2 days
- Your clients run Kubernetes clusters with Prometheus and Loki already instrumented, and you want to reduce MTTR on alert storms by automating root cause correlation.
- You manage 3+ client Kubernetes environments and need a single tool to investigate alerts across all of them without per-client licensing overhead.
- Your clients use Argo CD for GitOps deployments and you want to correlate deployment history with incident timelines in a single report.
- Your clients use managed Kubernetes (EKS, GKE, AKS) without direct cluster access or Prometheus/Loki instrumentation in place.
- You need white-label incident reports with your agency branding; AlertiGate displays its own brand in Slack/Teams notifications.
- Your clients require HIPAA, PCI-DSS, or SOC2 Type II compliance and cannot accept a self-hosted tool without formal audit documentation.
Profit Path
Estimate available after setup inputs
$1K–$3K/project
Monthly Recurring
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of AlertiGate
Multi-source alert correlation
Pulls evidence from Prometheus metrics, Loki logs, Kubernetes cluster state, Argo CD deployments, and Git commit history in a single investigation. Agencies can deliver clients a unified incident report instead of requiring them to manually cross-reference five separate tools.
Root cause scoring and evidence ranking
Each investigation includes a confidence score for the identified root cause and lists what the analysis ruled out. Clients see the reasoning, not just a conclusion, reducing back-and-forth on incident validation.
Change proposal generation without auto-push
AlertiGate generates a diff-based remediation recommendation for review before any change is applied. Agencies retain full control over what gets deployed, avoiding accidental cluster modifications.
Prior investigation retrieval and scoring
When the same alert fires again, AlertiGate retrieves and scores previous investigations of that alert to inform the current analysis. Reduces redundant investigation work across recurring incidents.
Read-only cluster access
AlertiGate holds only get and list permissions on Kubernetes; it cannot write, delete, or modify cluster state. Agencies can safely deploy it in production without risk of accidental infrastructure changes.
Slack and Teams delivery
Incident reports land directly in Slack or Teams channels with root cause, evidence timeline, and remediation tiers. Clients see the full report rendered, not a summary, reducing context loss.
What Makes AlertiGate Different
Unique advantages vs similar tools in this niche
Correlates five evidence sources in parallel with per-alert queries
vs Manual investigation requiring eight context switchesEach agent writes its own PromQL, LogQL, and Kubernetes queries for the specific alert, rather than replaying a fixed checklist.
Retrieves and scores prior investigations of the same alert
vs Relying on human memory or wiki searchesPrior investigations are scored in SQL by alert name, workload, labels, symptom overlap, and decayed by age, with the top three used as context.
Renders reports deterministically without a model call
vs LLM-summarized reports that vary between runsThe renderer is a pure function of the typed report, so the same investigation always produces the same bytes.
Value Equation
Outcome-likelihood-time-effort assessment for AlertiGate
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. AlertiGate has no published pricing, so we hold this section until real numbers are available.
Contact AlertiGatePricing
Platform cost for AlertiGate
Custom pricing
AlertiGate uses custom/enterprise pricing: rates aren't published publicly. Contact their team directly for a quote.
Contact AlertiGateMarket Intelligence
Offer + scale economics for AlertiGate
Offer economics require real pricing
Offer economics, scale projections, and margin potential all depend on AlertiGate's actual platform cost. Once pricing is published or shared with your agency, we'll compute the full breakdown here.
Contact AlertiGateInvestment Decision Framework
Strategic vetting analysis for AlertiGate
Consider
Favorable fit, worth a closer look
Buy If
4Your clients run Kubernetes clusters with Prometheus and Loki already instrumented, and you want to reduce MTTR on alert storms by automating root cause correlation.
You manage 3+ client Kubernetes environments and need a single tool to investigate alerts across all of them without per-client licensing overhead.
Your clients use Argo CD for GitOps deployments and you want to correlate deployment history with incident timelines in a single report.
You have SRE or platform engineering expertise in-house and can configure AlertiGate's read-only integrations without vendor support.
Skip If
4Your clients use managed Kubernetes (EKS, GKE, AKS) without direct cluster access or Prometheus/Loki instrumentation in place.
You need white-label incident reports with your agency branding; AlertiGate displays its own brand in Slack/Teams notifications.
Your clients require HIPAA, PCI-DSS, or SOC2 Type II compliance and cannot accept a self-hosted tool without formal audit documentation.
You want a fully managed SaaS with vendor-hosted infrastructure; AlertiGate is self-hosted only and requires your team to operate the container.
Bottom Line
AlertiGate automates Kubernetes incident investigation by correlating alerts across Prometheus metrics, Loki logs, cluster state, Argo CD deployments, and runbooks to surface root cause and remediation steps in Slack or Teams. It's built for agencies managing Kubernetes infrastructure for clients and SRE teams handling high alert volumes. The read-only, self-hosted design eliminates write risk and database overhead. Agencies can resell this as a managed incident response retainer for clients running Kubernetes, but should expect to handle deployment and integration configuration themselves.
Reality Check
AlertiGate requires clients to already operate Prometheus, Loki, and Kubernetes; it cannot retrofit incident investigation onto agencies using other monitoring stacks. Setup involves Helm chart deployment and credential configuration, so agencies need Kubernetes operational expertise or must absorb that labor cost into client retainers.
Moderate effort: standard configuration with some customization needed
Academy for AlertiGate
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
AlertiGate Agency Implementation, Kubernetes Incident Automation for Clients
Learn to deploy AlertiGate as a managed service for clients running Kubernetes, automating incident investigation across Prometheus, Loki, and cluster state to reduce MTTR. You'll configure alert correlation, set up Slack/Teams delivery, and build a retainer model around incident response optimization and runbook management.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
2 modules selected for AlertiGate
Frequently Asked Questions
Answers about pricing, setup, implementation
AlertiGate investigates Kubernetes alerts automatically by reading Prometheus metrics, Loki logs, cluster state, Argo CD deployments, and runbooks to identify root cause and recommend fixes. It delivers incident reports with evidence, confidence scores, and change proposals to Slack or Teams. Agencies use it to reduce MTTR for clients and automate the triage work that normally requires manual log digging.
AlertiGate pricing is not published on the vendor website. Contact the vendor directly for a quote based on your deployment scope and client count.
No verified white-label program. Client-facing surfaces, including Slack and Teams notifications, display the AlertiGate brand. Agencies cannot present incident reports as their own branded output.
Yes. AlertiGate natively integrates with Prometheus for metrics and Loki for logs as core investigation sources. It also integrates with Kubernetes, Argo CD, Git, Slack, Teams, and Confluence.
Initial deployment is a single Helm chart install command with no pre-registration or account creation required. Configuration of alert sources (Prometheus, Loki, Argo CD endpoints) and Slack/Teams webhook credentials takes 15-30 minutes per client environment. Agencies should budget additional time for testing investigations against sample alerts.
Best fit for SaaS and fintech companies running Kubernetes in production with high alert volumes, platform engineering teams managing multi-tenant infrastructure, and e-commerce operations requiring fast incident response. Any client with Prometheus and Loki already instrumented can benefit.
Alerts still fire and route to Alertmanager or Grafana as normal. Investigations pause until the AlertiGate pod restarts. No alerts are lost; they queue in Alertmanager. Agencies should configure pod restart policies and monitor the AlertiGate container health as part of their SLA.
AlertiGate reads runbooks via Git integration and Confluence integration. Runbooks must be accessible from the cluster network. Agencies need to configure Git credentials or Confluence API tokens in the AlertiGate console for each client.