Tool profile
Logz.io: cost, fit and limits
Logz.io is a cloud observability platform sold by Logshero Ltd that combines log management, infrastructure monitoring and distributed tracing for engineering teams, and lists an Agentic Observability plan for teams that run AI agent workflows.
What to know first
Logz.io prices each signal separately on a consumption basis: logs per ingested gigabyte per day, metrics per 1,000 time series per day, and traces per million spans or per gigabyte. A Pro subscription carries a 14-day free trial, while Enterprise is quote only. The pricing page notes new metrics pricing from 1 October 2026 and new tracing pricing from 1 November 2026, so confirm current rates before budgeting.
Logz.io at a glance
| Maker | Logshero Ltd (copyright line on the pricing and feature pages; the company refers to itself as Logz.io), Not stated on the vendor pages |
|---|---|
| Free plan | Free trial only |
| Entry price | $0.92 per ingested GB, per day (Log Management, consumption plan, aws-us-east) |
| API access | No |
| Category | Best AI Observability and APM Software in 2026, rank 12 of 12 |
| Website | logz.io |
Who Logz.io is best for
Teams that want three signals from one vendor
Log management, infrastructure monitoring and distributed tracing each have a listed consumption rate, so a team can price all three in a single spreadsheet before talking to sales.
Companies with AWS-hosted workloads
Consumption prices on the pricing page are quoted for the aws-us-east region, which suits buyers already running in that AWS region and comparing rates against the same location.
Teams starting to monitor AI agents
Agentic Observability is listed at $10 per 1M tokens or per agent workflow or invocation, which gives a first number to test against a pilot, though the page says it may vary.
Logz.io plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| Log Management (consumption) | $0.92 per ingested GB, per day | Seven days of retention on the consumption plan; extra retention is billed per day, at $0.03 hot, $0.015 warm and $0.001 cold per extra day. |
| Infrastructure Monitoring (consumption) | $0.40 per 1,000 time series metrics, per day (shown as $0.20 with 50% off) | 18 months of retention on the consumption plan, the longest window of the three signal types priced there. |
| Distributed Tracing (consumption) | $0.16 per 1M spans, per day; a second listing shows $0.92 per ingested GB, per day | 10 days of retention. The page does not say which of the two listings is current. |
| Agentic Observability | $10 per 1M tokens, or per AI agent workflow or invocation | Priced for AI agent workflows; the page says the cost may vary by agent and usage. |
| Enterprise | Custom quote | Quote-only tier; the plan tables list SSO/SAML, audit trail and advanced features that vary by plan. |
Checked November 2026.
What Logz.io does
- Log management
- Logs are billed per ingested gigabyte per day with seven days of retention on the consumption plan, while the subscription tiers list unlimited retention in the pricing page feature table.
- Infrastructure monitoring
- Metrics are priced per 1,000 time series per day and keep 18 months of retention on the consumption plan, a long window compared with the other two signals.
- Distributed tracing
- Traces keep 10 days of retention on the consumption plan. The page lists two prices and units for tracing, so ask which applies to a new account before sizing it.
- Agentic Observability
- A plan aimed at AI agent workflows, priced per 1M tokens or per workflow or invocation. Logz.io says AI features run on AWS Bedrock, and the page states costs may vary.
- Warm and cold retention
- Data can move to cheaper tiers, with extra days billed at $0.03 hot, $0.015 warm and $0.001 cold, which lets a team keep old logs without paying hot-storage rates.
- SSO/SAML and audit trail
- The pricing page lists SSO/SAML and audit trail as subscription features that vary by plan, so check which tier carries them before an access review.
How Logz.io handles your data
The AI FAQ says Logz.io uses AWS Bedrock, which does not use customer data for training, and that data is not shared with AWS or other third parties for model training. AI-processed data follows standard retention, and prompts and responses may be stored and may be kept longer in future. Account data is hosted in Europe (London) or Canada (Central); the AI model runs in eu-central-1 or us-east-1, which the page calls temporary. The SOC 2 page lists SOC 2 Type 2, PCI Level 1, HIPAA ready, ISO 27001 and GDPR ready.
Where Logz.io falls short in practice
- Two prices for tracing. Distributed Tracing is listed at $0.16 per 1M spans and again at $0.92 per ingested GB, so a team cannot size a tracing budget from the page alone and has to ask for the current unit.
- Billing multipliers. Monthly billing costs 1.2x the annual rate, and the FAQ says usage above a plan is billed at On Demand pricing, 1.4x the subscription cost. A spike in log volume can raise the bill quickly.
- Agent costs cannot be fixed. The page says agent pricing may vary by agent and usage, so Agentic Observability spend depends on how many tokens or invocations a workload produces, which is hard to know before a pilot.
- Unpublished subscription prices. Pro and Enterprise subscription prices are not shown. Only the consumption rates are public, and a team that wants the subscription route has to request a quote.
Works with
Alternatives to Logz.io
Logz.io: common questions
Does Logz.io offer a free trial?
The Pro subscription has a 14-day free trial, according to the pricing page. The pages we read show no permanent free plan, so a team that wants to test beyond two weeks would need to ask the vendor about a longer evaluation.
Why does the Logz.io tracing price look inconsistent?
The pricing page lists Distributed Tracing twice: $0.16 per 1M spans, and $0.92 per ingested GB shown with a 68% discount. The page does not say which listing is current, and new tracing pricing is noted from 1 November 2026, so confirm the unit in writing.
What does Logz.io Agentic Observability cost?
The pricing page lists $10 per 1M tokens, or per AI agent workflow or invocation. It adds that pricing may vary by agent and usage. Run a pilot with one real workflow and read the token count before you plan a yearly budget.
Where does Logz.io store account data?
The AI FAQ says account data is hosted in Europe (London) or Canada (Central). The AI model runs in eu-central-1 for London accounts and us-east-1 for Canada accounts, and the page calls that temporary. The headquarters country is not stated on the pages we read.
Does Logz.io train AI models on customer data?
No, according to the AI FAQ. It says the features use AWS Bedrock, which does not use customer data for training, and that data is not shared with AWS or others for training. The FAQ also says prompts and responses may be retained longer in the future.