Open-Source DevOps · monoscope-tech

monoscope

Monoscope is an open-source observability platform that ingests logs, traces, and metrics into S3-compatible storage and provides natural language query capabilities via LLMs. It supports self-hosting or cloud deployment with unified search, real-time tailing, and AI-driven anomaly detection across telemetry data.

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Source: GitHub — github.com/monoscope-tech/monoscope

1.3k

GitHub stars

Forks

Haskell

Primary language

AGPL-3.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	monoscope-tech/monoscope
Owner	monoscope-tech
Primary language	Haskell
License	AGPL-3.0 — OSI-approved
Stars	1.3k
Forks	55
Open issues	14
Latest release	v0.6.24 (2026-06-29)
Last updated	2026-07-08
Source	https://github.com/monoscope-tech/monoscope

What monoscope is

Haskell-based observability backend offering OpenTelemetry native ingestion (750+ integrations), S3 storage backend, natural language query translation to KQL, MCP server integration, and agentic CLI with stable JSON envelopes for programmatic orchestration. Supports live tail, trace correlation, and scheduled AI agents for anomaly detection.

Quickstart

Get the monoscope source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/monoscope-tech/monoscope.git2cd monoscope3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Cost-optimized long-term telemetry retention

Store years of logs, traces, and metrics in affordable S3 buckets instead of proprietary backends, suited for organizations with high data volume and retention requirements.

AI-assisted incident investigation

Natural language queries and Claude Code Skills enable rapid triage without manual KQL/query syntax; agentic workflows automate anomaly detection and root-cause analysis.

OpenTelemetry-native deployments

Seamless ingestion from 750+ auto-instrumented sources (Python, Node.js, Java, Kubernetes); no vendor lock-in through standard OTLP protocol.

Implementation considerations

AGPL-3.0 license requires source code to be made available if deployed as a service; assess whether internal deployment or proprietary extensions trigger copyleft obligations.
S3 dependency means cost and latency are tied to cloud provider choice and data volume; no query result caching or materialized views mentioned.
Natural language queries depend on LLM availability and prompt quality; unclear how failures or hallucinations are handled in production.
Haskell backend has smaller operator pool than Python/Go; on-call support and debugging expertise may be constrained.
MCP server and Claude Code Skills require Claude access; lock-in to Anthropic's ecosystem for agentic workflows.

When to avoid it — and what to weigh

Proprietary metric visualization and alerting at scale — Self-hosted option has basic email alerting only; cloud tier offers Slack/PagerDuty but requires usage-based pricing. Lacks advanced dashboard and alert features compared to mature platforms.
Minimal operations overhead required — Self-hosting requires managing Haskell backend, S3 configuration, and infrastructure. No automated backups, upgrades, or managed SSO noted for self-hosted tier.
Enterprise SLA and security certifications — No mention of SOC2, HIPAA, FedRAMP, or formal security audit. AGPL-3.0 license requires legal review for many enterprises.
Real-time millisecond-precision alerting — Designed for post-hoc analysis and scheduled anomaly detection; not marketed for critical infrastructure requiring sub-second SLA responses.

License & commercial use

AGPL-3.0 (GNU Affero General Public License v3.0). Copyleft license requiring source code disclosure if software is deployed as a service or offered over a network. Not a permissive OSI license suited for closed-source or SaaS redistribution without source code release.

Internal use (self-hosted) is permitted under AGPL-3.0 without source code release, provided no SaaS offering is made. Resale, SaaS deployment, or embedding in proprietary products requires either full source code release to users or a separate commercial license from the authors. Requires legal review before any commercial deployment or service offering.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Needs review
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

S3 bucket access control is customer responsibility; misconfiguration exposes raw telemetry. AGPL-3.0 source code is public on GitHub; no formal security audit, penetration test results, or vulnerability disclosure process documented. Self-hosted operators must manage auth, SSO (DIY per README), and API key rotation. MCP server requires Bearer token; no rate limiting or audit logging mentioned. Cloud tier may add managed auth/SSO. Haskell memory safety provides some buffer overrun protection, but no explicit security hardening claims.

Alternatives to consider

Datadog, New Relic, Splunk Cloud

Fully managed SaaS with native alerting, dashboards, compliance certifications, and 24/7 support; higher per-GB cost but eliminates operational overhead. No S3 cost optimization.

Grafana Loki + Prometheus + Tempo (self-hosted)

Free, open-source, AGPL/Apache2, wider community. Requires more DIY integration; less AI/NLP; lower cost for small scale but higher ops burden.

OpenSearch + Jaeger (self-hosted)

SSPL/Elastic License and AGPL; strong search and tracing; more mature ecosystem. Higher memory/storage footprint; no native S3 optimization.

Software development agency

Build on monoscope with DEV.co software developers

Try Monoscope free on cloud, or deploy self-hosted for full control. Check licensing requirements with your legal team before commercial use.

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monoscope FAQ

Can I use Monoscope commercially?

AGPL-3.0 allows internal self-hosted use without source release. SaaS deployment, resale, or proprietary embedding requires either releasing source code or negotiating a commercial license with the authors. Requires legal review.

How do natural language queries work?

LLM translates plain English to KQL (Kusto Query Language); execution happens against your S3-backed telemetry. Quality depends on LLM capability and prompt design. No fallback to SQL or GraphQL noted.

Is data stored in Monoscope's control?

No. Both cloud and self-hosted options store data in your own S3 buckets; Monoscope only indexes and queries. Cloud tier manages compute; self-hosted requires your infrastructure.

What is the typical cost for a 100 GB/month ingestion rate?

Self-hosted: only S3 storage and your compute costs (Unknown exact footprint). Cloud: usage-based pricing; see monoscope.tech/pricing. No public cost calculator provided.

Software developers & web developers for hire

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If monoscope is part of your open-source devops roadmap, our team can implement, customize, migrate, and maintain it.

Ready to modernize your observability?

Try Monoscope free on cloud, or deploy self-hosted for full control. Check licensing requirements with your legal team before commercial use.

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