36 providers tracked

Best Grafana Stack Implementation Partners 2026

Compare 36 Grafana implementation partners delivering Grafana Cloud rollouts, self-managed Grafana Enterprise, Loki for logs, Mimir for metrics, Tempo for traces, Pyroscope for continuous profiling, and OpenTelemetry collector pipelines feeding the stack. Listings cover Grafana Labs Premier partners, OpenTelemetry specialists, Kubernetes-native observability boutiques, and large SIs running managed Grafana practices for buyers consolidating off Datadog, Splunk, or New Relic for cost reasons. The Grafana stack remains the default open-source observability choice but demands real engineering investment to operate at scale - this is not a managed-SaaS substitute. Use this directory to shortlist Grafana partners by tier, signal focus, and region. No partner pays for placement on this directory.

Provider
Headquarters
Rating
Reviews
Grafana Labs Professional Services
Vendor delivery, Grafana Cloud and Enterprise rollouts
New York, US
4.4
Editorial score
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Accenture Cloud First
Premier Partner, large estate observability consolidation
Dublin, IE
3.9
Editorial score
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Capgemini Cloud Infrastructure
Premier Partner, OSS observability migration
Paris, FR
3.8
Editorial score
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TCS Cognitive Business Operations
MSP delivery, multi-tenant managed Grafana
Mumbai, IN
3.8
Editorial score
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Infosys Live Enterprise Suite
OSS observability migration, multi-cloud estates
Bengaluru, IN
3.9
Editorial score
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Wipro FullStride Cloud
Premier Partner, Grafana plus SRE delivery
Bengaluru, IN
3.8
Editorial score
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HCLTech Cloud Native Services
OSS observability for telco and BFSI
Noida, IN
3.8
Editorial score
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Container Solutions
Boutique Premier Partner, Kubernetes-native observability
Amsterdam, NL
4.6
Editorial score
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The Scale Factory
Boutique AWS and Grafana Cloud specialist
London, UK
4.5
Editorial score
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Kainos
Premier Partner, public sector GDS-aligned observability
Belfast, UK
4.3
Editorial score
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Polar Point Consulting
Boutique Loki and Mimir migration specialist
Stockholm, SE
4.5
Editorial score
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Trilogi Engineering
Boutique Premier Partner, OpenTelemetry pipeline depth
Austin, US
4.5
Editorial score
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FormForge Engineering
Boutique Premier Partner, Pyroscope profiling focus
Berlin, DE
4.6
Editorial score
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Contino (Cognizant)
Premier Partner, regulated cloud-native rollouts
London, UK
4.2
Editorial score
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Rackspace Technology
MSP delivery, multi-cloud managed Grafana
San Antonio, US
3.9
Editorial score
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How to choose a Grafana stack implementation partner

Grafana stack engagements typically split into four workstreams. OpenTelemetry pipeline design, where the partner stands up OTel Collector deployments (agent, gateway, or both) to standardise metrics, logs, and traces from applications before forwarding to Mimir, Loki, and Tempo. Stack deployment, where the partner installs and tunes the LGTM stack (Loki, Grafana, Tempo, Mimir, plus Pyroscope) either on Grafana Cloud or self-managed Kubernetes, sizing the storage tiers and cardinality budgets for the workload. Dashboard and alerting standardisation, where teams adopt the partner's library of RED/USE method dashboards, golden-signal alerts, and SLO frameworks. Migration off SaaS observability, where buyers move from Datadog, New Relic, or Splunk for cost reasons.

Three procurement archetypes recur. Boutique Kubernetes-native partners (Container Solutions, The Scale Factory, Trilogi, Polar Point) lead on greenfield OTel and self-managed LGTM deployments where engineering ownership stays in-house and the partner runs a 3-6 month enablement engagement. India-heritage SIs (TCS, Infosys, Wipro, HCLTech) lead on managed Grafana operations across large estates, typically priced as a multi-year SRE retainer. Premier global SIs (Accenture, Capgemini, Contino, Kainos) lead where Grafana sits inside a wider digital, cloud-migration, or public-sector observability programme. Friction point: open-source Grafana stack operations are not cheaper than Datadog past a certain scale once engineering FTEs, storage costs, and on-call burden are counted. Many migrations miss steady-state savings by year two; buyers should model 3-year total cost including ops headcount, not licence delta alone.

For complementary research see APM platforms, log management, AIOps platforms, continuous profiling, and OpenTelemetry platforms. For adjacent services see observability implementation, DevOps and SRE, Kubernetes services, platform engineering, cloud FinOps, and Datadog implementation.

Find grafana partners by region

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Frequently Asked Questions

What does a Grafana stack rollout cost?
Greenfield LGTM rollouts with OTel pipelines for mid-size enterprises (200-600 services) typically run $200k-$650k in services across 4-7 months, plus Grafana Cloud subscription or self-hosted infrastructure cost. Migrations from Datadog or Splunk add $300k-$1.1M depending on dashboard re-creation, alert porting, and parallel-run period. Annual managed Grafana services typically run $400k-$1.3M for mid-market enterprises, comparable to managed Datadog at similar scale once engineering operations are included.
Grafana Cloud or self-managed?
Grafana Cloud is the default for buyers under roughly 10 TB monthly log ingest and 1M active series; it removes operational burden and integrates Mimir, Loki, Tempo, Pyroscope, and incident management out of the box. Self-managed becomes cost-effective above that threshold and is preferred where data sovereignty, air-gap, or specific retention rules apply. Many enterprises run hybrid: Grafana Cloud for application teams, self-managed Mimir for high-volume infrastructure metrics.
How does the Grafana stack compare to Datadog?
Grafana wins on cost at high cardinality and high log volume, on data sovereignty, and on avoiding lock-in via OpenTelemetry. Datadog wins on developer ergonomics, integration breadth, unified UI across signals, and time-to-value for small teams. The break-even point is typically around $750k annual Datadog spend; below that, Datadog total cost (including engineering FTEs to operate Grafana) is usually lower. Buyers should model 3-year TCO including ops headcount.
Do we need OpenTelemetry?
Strongly recommended for any new instrumentation. OTel decouples instrumentation from backend choice, making future vendor migrations (Grafana, Datadog, Honeycomb, New Relic, Dynatrace) far cheaper. The OTel auto-instrumentation libraries for Java, Python, Node, .NET, and Go are production-ready for most workloads. Legacy estates with Datadog or New Relic agent investment may stage OTel adoption over 12-24 months rather than rip-and-replace.
What about Grafana Incident and OnCall?
Grafana Incident, OnCall, and Sift form an integrated incident-management stack alongside the observability tools. They cover most needs for buyers under 200 engineers but typically lose to PagerDuty or FireHydrant once incident-management maturity (postmortem workflows, SLA tracking, executive comms) becomes a major concern. Many enterprises run Grafana for observability and a separate dedicated incident platform for response.
Last updated: May 2026

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