$0 ingestion. Predictable pricing.
Save 40–70% on your observability bill when you move from Datadog or Dynatrace.
No retention tiers, no AI premium, and your bill doesn't grow when your logs do.
Free for 1 cluster up to 40 vCPU·Paid from ≈ $29 per 4 vCPU a month·Unlimited users·30-day trial, no credit card
10 nodes × 4 vCPU on one cluster, typical telemetry
20 nodes × 8 vCPU, e.g. two clusters of 10, typical telemetry
200 nodes × 8 vCPU across your clusters, typical telemetry
Capabilities and pricing
- Infrastructure
- Kubernetes
- APM
- Logs
- Traces
- Metrics
- AI
Full-stack observability, processed in your environment. No ingestion fees.
- ✓Full-fidelity telemetry, no sampling
- ✓Real-time log monitoring
- ✓Infrastructure monitoring
- ✓Application performance monitoring
- ✓Metric, log and uptime monitors
- ✓Alert groups routed to Slack, Teams, email and more
- ✓SLO tracking and anomaly detection
- ✓Multi-cluster visibility
- ✓Raiya SRE chat agent and on-demand AI investigations
- Allocation
- Chargeback
- Rightsizing
- Alerts
Kubernetes cost allocation and optimization. No Observability plan needed: start from ≈ $7 a month.
- ✓Cost monitoring with alerts
- ✓Cost by cluster, namespace and workload
- ✓Chargeback and allocation reports
- ✓Idle workload detection
- ✓Rightsizing recommendations
- CVE
- CIS
- NSA-CISA
- MITRE ATT&CK
- SOC 2
CVE scanning, compliance checks and CVE spike alerts, alongside APM and cost.
- ✓Cluster security dashboard
- ✓Daily scans of running workloads
- ✓CVE scanning per workload
- ✓CIS Benchmark scoring for Kubernetes, EKS, AKS and GKE
- ✓NSA-CISA hardening and MITRE ATT&CK checks
- ✓SOC 2 control checks for your clusters
- ✓Workload-level posture
- ✓Alerts on sudden spikes in critical CVEs
- Root cause
- Runbooks
- Fix PRs
- BYO agents
- Audit logs
Investigates incidents and opens fix PRs on its own, alongside your incident tools.
- ✓Finds the root cause in your code and opens a fix PR
- ✓AI-driven incident response
- ✓Automatic investigation of incidents
- ✓Root cause and impact analysis
- ✓Scheduled investigations
- ✓Executable runbooks and automated remediation
- ✓Connects to any MCP server: GitHub, GitLab, Bitbucket, Jira, ServiceNow, Slack and more
- ✓Bring your own agents
- ✓Enterprise guardrails and audit trail
What's not on your bill
- Per-GB ingestion fees
- Log indexing fees
- Per-user seats
- Container fees
- Custom-metric charges
- AI credits
- ✓Infrastructure monitoring
- ✓Real-time log monitoring
- ✓Metric, log and uptime monitors
- ✓Alert groups to Slack, Teams and email
- ✓Raiya SRE chat agent
- ✓Kubernetes cost visibility
Startup? Eligible early-stage startups get 50% off paid plans. Apply →
Volume pricing from 100 node units (400 vCPU), commitments, SSO with custom group mapping (Entra ID, Okta Groups), audit logs and dedicated support.
Also available: fully on-prem / air-gapped control plane deployment for regulated environments, priced separately.
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A 20-node cluster, priced three ways
Traditional platforms charge for the telemetry you send, index and store. Randoli processes telemetry where it's generated and sends only operational signals and insights to its control plane, so ingestion, egress and retention never show up on your bill.
20 nodes of 8 vCPU / 32 GiB at typical volume: ~30 containers per node, ~3.6 TB of logs, ~600M trace spans and ~8,000 custom metrics a month. Estimated monthly cost at list prices.
- Observability, 40 node units$1,168
- Logs, traces and metrics: ingestion, indexing, custom metrics$0
Full fidelity, no sampling. Raw telemetry is stored on your own infrastructure.
- Infrastructure Pro, 20 hosts × $15$300
- Containers over 5/host (~30/node)$500
- Custom metrics over 100/host (~8,000 total)$300
- APM, 20 hosts × $31$620
- Span ingestion over 150 GB/host (~600 GB)$0
- Span indexing, 50% (~300M spans, 1M/host included)$476
- Log ingestion, 3,600 GB × $0.10$360
- Log indexing, 50% (1,800M events × $1.70)$3,060
Half of logs and traces indexed. AI SRE investigations billed separately via AI credits.
See the full Randoli vs Datadog comparison →- Full-Stack, 20 × 32 GiB × $0.01/GiB-hour$4,672
- Log ingestion, 3,600 GiB × $0.20$720
Log retention and query charges not included.
See the full Randoli vs Dynatrace comparison →Randoli keeps every log and trace searchable at full fidelity in your environment, with no sampling. The Datadog estimate indexes half of them; indexing everything would cost more. Illustrative estimate using published list prices with annual billing where offered; your costs depend on workload density, telemetry volume and retention. Run your own numbers →
Estimate your bill
Compare Randoli with Datadog for your own setup, up to 100 nodes. Monthly estimate at list prices.
- Observability, 10 node units$292
- Security Posture (included)$0
- Logs, traces and metrics: ingestion, indexing, custom metrics$0
Unlimited users. Raiya runs on your own LLM API key: no AI credits.
- Infrastructure Pro, 10 hosts × $15$150
- Containers over 5/host (~15/node)$100
- Custom metrics over 100/host (~2,000 total)$50
- APM, 10 hosts × $31$310
- Span ingestion over 150 GB/host (~150 GB)$0
- Span indexing, 50% (~75M spans, 1M/host included)$111
- Log ingestion, 900 GB × $0.10$90
- Log indexing, 50% (450M events × $1.70)$765
AI SRE investigations billed separately via AI credits. Longer retention and seats can add more.
Randoli Observability is $1,284/month less than Datadog for this setup (81% lower).
Estimate only. Randoli: node units = vCPU ÷ 4 per node, minimum 1, × list rate × 730 hours. Datadog: published annual list prices (checked October 2026), per vCPU on Typical: 0.75 GB of logs and 125K spans a day, 50 custom metrics and ~3.75 containers (Sysdig's median is ~30 per host); Low halves and High doubles telemetry. Datadog allowances are pooled across hosts: 5 containers and 100 custom metrics per host, 150 GB of ingested spans and 1M indexed spans per APM host; 1 KB average log event and span, 30 days a month. Randoli runs on your own infrastructure, so its compute and storage are on your cloud bill.
Free vs Paid
| Randoli Free | Paid | |
|---|---|---|
| Kubernetes clusters | 1 | Multiple |
| Capacity | Up to 40 vCPU | Based on usage |
| Users | Unlimited | Unlimited |
| Data volume | No caps | No caps |
| Raw telemetry | Customer environment | Customer environment |
| Randoli signal retention* | 7 days | 30 days |
| Metrics, logs and traces, full fidelity | ✓ | ✓ |
| Real-time log monitoring | ✓ | ✓ |
| Metric, log and uptime monitors | ✓ | ✓ |
| Alert groups routed to Slack, Teams, email and more | ✓ | ✓ |
| Kubernetes cost visibility | ✓ | ✓ |
| Raiya SRE chat agent | ✓ | ✓ |
| On-demand AI investigations | — | ✓ |
| Multi-cluster visibility | — | ✓ |
| Cost optimization and chargeback | — | ✓ |
| Security posture (CVE, CIS, NSA-CISA, MITRE ATT&CK, SOC 2) | — | ✓ |
| Automatic investigation of incidents | — | ✓ |
| Executable runbooks and automated remediation | — | ✓ |
| SSO | — | ✓ |
* Randoli signal retention covers the operational signals and insights held in the Randoli control plane. Your raw metrics, logs and traces stay in your environment, kept for as long as you choose.
