Prometheus: Monitoring Ledger 2026
Prometheus is the metrics engine much of the market builds on, delivering on target with no owner who could change the licence, but it is not a full suite.
Part of the Infrastructure Monitoring Ledger (edition 2026-10-04). How the scores work: methodology.
Snapshot
- Tier: Open-source engine
- Owner: Cloud Native Computing Foundation project (graduated 2018); maintainers from several companies, no owner
- Licence model: Apache 2.0; no paid edition; support and managed services from third parties (Grafana Labs, Red Hat, AWS, Google, Chronosphere, PromLabs)
- Products scored: Prometheus server and Alertmanager; official exporters (node, windows, snmp, blackbox) counted at half; Grafana, Thanos, Mimir and community exporters not scored
- Latest release: 3.15.0, 2026-09-25
- Next signal: Type and unit labels to stable, more native-histogram PromQL functions, wider Remote Write 2.0 adoption; no dates
- Archetype: Cloud-native metrics engine
- Evidence grade: A. Release tags, specifications and docs are primary and consistent; the one conflict is whether the MCP server is official or community.
Scope of the scores: Scores cover the Prometheus server and Alertmanager. Anything that needs an exporter (node_exporter, windows_exporter, snmp_exporter, blackbox_exporter, pve-exporter) or another project (Grafana, Thanos, Mimir, Prometheus Operator) counts half at most and is named in the basis.
Scorecard
| Dimension | Score | Direction |
|---|---|---|
| Capability today | 45.0 / 100 | higher is better |
| Momentum since end of 2022 | +1.8 points | higher is better |
| Credibility | 21.0 / 25 | higher is better |
| Commercial risk | not scored (engine: nothing to buy) | |
| Technical lock-in | 5.0 / 25 | lower is better |
| Integrator fit | 12.5 / 20 | higher is better |
| AI leverage | 4.5 / 20 | higher is better |
| Ledger Index | 57.5 / 100 | balanced weights |
Capability by domain
Scores 0 to 5 against fixed anchors; total is weighted to 100.
| Domain (weight) | 2016 | 2019 | 2022 | Today |
|---|---|---|---|---|
| Server, virtualization and storage (12) | 1 | 1.5 | 1.5 | 1.5 |
| Network monitoring (12) | 1 | 1 | 1 | 1 |
| Application and service monitoring (10) | 2 | 2 | 2 | 2.5 |
| Data collection and scale (12) | 3 | 4 | 4 | 4 |
| Alerting and event management (12) | 3 | 3.5 | 3.5 | 3.5 |
| Visualisation and reporting (8) | 1.5 | 1.5 | 1.5 | 2 |
| Logs and traces (8) | 0 | 0 | 0.5 | 0.5 |
| Automation and remediation (8) | 2.5 | 3 | 3 | 3 |
| Security and compliance (8) | 0.5 | 1 | 2 | 2 |
| New-platform support (VMware exit) (10) | 1.5 | 1.5 | 2 | 2 |
| Total / 100 | 33.4 | 39.8 | 43.2 | 45.0 |
Year by year: 2016: 33.4 · 2017: 35.8 · 2018: 35.8 · 2019: 39.8 · 2020: 39.8 · 2021: 39.8 · 2022: 43.2 · 2023: 43.2 · 2024: 45.0 · 2025: 45.0 · 2026: 45.0
What moved the score
| Year | Domain | Change | Points | Trigger |
|---|---|---|---|---|
| 2017 | Data collection and scale | 3 → 4 | +2.4 | 2.0 (2017): V2 TSDB with WAL, up to 1M samples/s per node; later Remote Write and Agent mode (2.32, 2021); no native clustering |
| 2019 | Alerting and event management | 3 → 3.5 | +1.2 | 2.x/Alertmanager (2019): gossip HA clustering, label-based routing trees |
| 2019 | Automation and remediation | 2.5 → 3 | +0.8 | 2.x (2019): configuration as code; Prometheus Operator CRDs and Ansible collection at half |
| 2019 | Security and compliance | 0.5 → 1 | +0.8 | 2.x (2019): TLS and basic auth toward scrape targets only |
| 2019 | Server, virtualization and storage | 1 → 1.5 | +1.2 | 2.x (2019): node_exporter, windows_exporter and community ipmi_exporter at half; no VMware or storage in core |
| 2022 | Logs and traces | 0 → 0.5 | +0.8 | 2.x (2022): exemplars link samples to traces stored in Jaeger or Tempo |
| 2022 | New-platform support (VMware exit) | 1.5 → 2 | +1.0 | 2.40 (2022): scrapes KubeVirt and OpenShift endpoints; Proxmox and AHV only via community exporters at half |
| 2022 | Security and compliance | 1 → 2 | +1.6 | 2.x web-config (2022): native TLS, mTLS and basic auth on endpoints; no RBAC, SSO or tenancy |
| 2024 | Application and service monitoring | 2 → 2.5 | +1.0 | 2.50 (2024): OTLP metrics receiver; 3.0 native histograms for latency percentiles; no traces or synthetics in core |
| 2024 | Visualisation and reporting | 1.5 → 2 | +0.8 | 3.0 (2024): rebuilt UI with histogram heatmaps; no dashboards, maps or SLA reports |
Direction, 2023 to 2026
Each item carries one theme and one driver (V vision, C customer need, M market window, U upstream, P portfolio).
| Date | Item | Theme | Driver |
|---|---|---|---|
| 2023-06 | 2.45: first long-term support release | D12 Packaging and licensing | C |
| 2024-02 | 2.50: native OTLP metrics receiver | D4 Collection and scale | U |
| 2024-08 | 2.54: second LTS line | D12 Packaging and licensing | C |
| 2024-11 | 3.0: Remote Write 2.0 | D4 Collection and scale | U |
| 2024-11 | 3.0: UTF-8 metric and label names for OTel | D11 Ecosystem openness | U |
| 2024-11 | 3.0: native histograms GA | D4 Collection and scale | V |
| 2024-11 | 3.0: rebuilt web UI | D6 Visualisation and reporting | C |
| 2025-05 | prometheus-mcp server preview | D7 AI-assisted operations | M |
| 2025-07 | 3.5: type and unit metadata labels | D4 Collection and scale | V |
| 2026-02 | 3.10: Alertmanager notification metrics | D5 Alerting and events | C |
| 2026-09 | 3.15: agent-mode WAL and native histogram compaction fixes | D4 Collection and scale | C |
- Centre of gravity: Collection and scale (5), Packaging and licensing (2), Ecosystem openness (1)
- Driver mix: Vision 18%, Customer need 45%, Market window 9%, Upstream 27%, Portfolio 0%
Credibility: 21.0 / 25
| Criterion | Score | Basis |
|---|---|---|
| Cadence | 4.5 | Regular minor releases (3.0 2024-11 to 3.15 2026-09) and LTS lines since 2.45 (2023) |
| Roadmap transparency | 4.5 | Public roadmap page, design docs, governance repository and GitHub milestones |
| Say-do | 4.5 | 8 of 8 tracked items GA within 12 months 2023-2026; native histograms and Remote Write 2.0 five months late |
| Velocity | 3.5 | One or two substantive features per release; 3.0 (2024) bundled several |
| Lifecycle stability | 4 | One-year LTS since 2023; 2.x to 3.0 upgrade with limited breaking changes |
Say-do record, 2023 to 2026: 8 commitments since 2023 (LTS, native histograms, OTLP receiver, Remote Write 2.0, UTF-8 names, second LTS, container limits, type and unit labels), all delivered; lags 0 to 5 months. AI evidence: 2 of 2, MCP as 0.x preview.
Commercial risk: not scored
This is an open-source engine: nobody sells it, so there are no commercial terms to score. Its project health is described below.
Security record of the product itself: None found in the KEV catalogue for Prometheus, Alertmanager or the official exporters (the security record).
Technical lock-in: 5.0 / 25 (lower is better)
| Criterion | Score | Basis |
|---|---|---|
| Formats | 1.5 | Own TSDB block format, open source and documented; YAML configuration; OpenMetrics exposition standard |
| Export path | 1 | Remote Write 1.0 and 2.0, HTTP API, snapshots and promtool dump |
| Stack coupling | 1 | Standard exporters and OTLP intake; PromQL supported by many back ends |
| Hardware / cloud coupling | 0 | Single static binary on any OS and architecture; fully offline |
| Skills and tooling coupling | 1.5 | PromQL is specialised but widespread; Prometheus Certified Associate exam |
Integrator fit: 12.5 / 20
| Criterion | Score | Basis |
|---|---|---|
| Partner programme openness | 3 | No programme, but competing support and managed services from Grafana, Red Hat, AWS, Google, Chronosphere, PromLabs |
| Multi-tenancy and self-service | 0.5 | No tenancy in core; needs Mimir, Thanos or a proxy |
| API and infrastructure-as-code | 4.5 | HTTP query and management APIs, Prometheus Operator CRDs, official Ansible collection, Helm charts |
| Skills and certification | 4.5 | Prometheus Certified Associate from the Linux Foundation; very large community |
AI leverage: 4.5 / 20
| Strand | Today | Latest step |
|---|---|---|
| AIOps on monitoring data | 0.5 | 2020: 2020: GPU metrics via NVIDIA dcgm-exporter add-on; no anomaly detection in core |
| AI platform stack | 0 | none |
| AI-assisted operations | 1 | 2016: 1.0 (2016): predict_linear and deriv in PromQL, rule-based only |
| Agent openness | 3 | 2025: 2025: prometheus-mcp server in the project organisation, v0.9 to v0.18 (preview) |
AI say-do: 2 announced, 1 GA (native histograms), 1 preview (MCP server 0.x), 0 pending, 0 dropped. Prometheus has no machine learning; it is the metrics source other AIOps tools read.
Reading
Prometheus is the metrics collection, storage and alerting engine much of the market builds on, and its 2023-2026 work (LTS lines, OTLP intake, native histograms, Remote Write 2.0) keeps it the reference format rather than turning it into a full monitoring suite. The project delivered every tracked item, most within a few months of target, with no licence change and no owner who could make one. For enterprise infrastructure it needs exporters, Grafana and a long-term store around it, so server, network, hypervisor and reporting depth come from add-ons scored at half.
Open questions and evidence caveats
- Scores depend on the project boundary: Alertmanager counted in, exporters at half; a different boundary moves several domains by a point or more.
- The capability text calls the MCP server community-built; the AI evidence names a repository in the Prometheus organisation at 0.x. The AI evidence was followed.
- Native TLS on web endpoints is placed at the 2022 checkpoint; the research does not name the release.
- Scale figures above one server describe external back ends (Mimir, VictoriaMetrics), not Prometheus alone.
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