Stop Overpaying
for Monitoring.

Full Grafana LGTM stack — Grafana, Loki, Tempo, Mimir — at a fraction of SaaS cost.

Trusted across Europe

Industries we serve.

Engineering teams in regulated, mission-critical industries — every engagement audited, documented, and production-graded.

Banking & Payments

FinTech

PCI-DSS compliant payments and core banking infrastructure — sub-100ms p99 latency, end-to-end audit trail, and tokenization at the edge.

PCI-DSS · ISO 27001
Patient Data

Healthcare

HIPAA-aware patient data pipelines

HIPAA · SOC2
5G & Networks

Telecom

5G core network observability at scale

NFV · ETSI MANO
Retail & Marketplaces

E-Commerce

99.99% uptime during peak traffic events

PCI-DSS · GDPR
Sovereign & Public

Government

Sovereign cloud with full audit trails

eIDAS · FIPS 140-2
Fleet & IoT

Logistics

Real-time fleet tracking & IoT ingestion

MQTT · OPC-UA
Grafana StackFull LGTM Platform
Loki + TempoLogs & Traces Unified
Custom DashboardsDashboard as Code
Enterprise ReadySSO & Multi-Tenancy

What we deliver

Our grafana services

End-to-end Grafana stack deployment for unified observability

Get production-grade Grafana running in days, not months. We configure SSO integration, role-based access, and high-availability so your teams get reliable dashboards from day one.

↓ 80% setup time · HA from day 1

Cut log infrastructure costs by 85% versus ELK. We deploy Loki with label-based indexing, LogQL queries, and seamless Grafana integration — same power, fraction of the resources.

↓ 85% log costs · 10x less infra

Pinpoint latency issues across microservices with Grafana Tempo. We set up OpenTelemetry ingestion, trace-to-log correlation, and service graphs for full request visibility.

↓ 70% debugging time · full trace visibility

Scale Prometheus metrics beyond single-instance limits. We deploy Mimir for unlimited retention, multi-tenancy, and globally federated queries without changing your existing setup.

unlimited retention · global query views

Eliminate dashboard drift and manual recreation after upgrades. We implement version-controlled dashboards with Grafonnet and Terraform so every panel is reproducible.

100% version-controlled · 0 manual drift

Reduce alert fatigue with intelligent routing. We configure Grafana Alerting with multi-channel notifications, silencing rules, and escalation policies that drive real action.

↓ 80% alert noise · multi-channel routing
Free assessment

Get a free Grafana assessment

Our engineers review your current setup and deliver a prioritized roadmap — no strings attached.

Real Project

Grafana Enterprise for a Telecom

01 / 02

A telecom provider had 50 ad-hoc Grafana dashboards with no standards, every team doing their own thing, and no way to onboard new engineers to the monitoring stack.

Tech stack
GrafanaLokiMimirTerraform

01 / Challenge

50 ad-hoc dashboards, no standards, every team doing their own thing.

02 / Solution

Dashboard-as-code with Terraform, standardized templates, Grafana Enterprise SSO.

03 / Result

200 standardized dashboards, 100% adoption, provisioning automated.

LGTM in one stack

Logs, metrics, traces — one click between them

Loki, Mimir, Tempo, Grafana — provisioned, dashboards as code, datasources via Helm. Switch from a metric to its trace in two clicks.

~/observabilityready
$helm repo add grafana https://grafana.github.io/helm-charts$helm upgrade --install lgtm grafana/lgtm-distributed -f values.yaml -n observability$kubectl rollout status statefulset/loki-write -n observability --timeout=300slgtm-distributed: 14/14 components healthy · ingestion rate: 8.2k logs/s · 0 dropped
↓ 85%Tooling cost
< 2 clicksLogs ↔ Traces
CodeDashboards as JSON
Outcomes & method

Grafana for unified observability

The Grafana LGTM stack brings logs, metrics, and traces into one platform with seamless cross-signal navigation. We deploy and manage the full stack so your teams get enterprise-grade observability without vendor lock-in or spiraling costs.

Business outcomes
  1. 01

    Unified observability platform

    Logs, metrics, and traces in a single Grafana interface with seamless cross-signal correlation and navigation.

  2. 02

    Cost-effective at scale

    The Grafana LGTM stack is open-source and resource-efficient, dramatically reducing observability infrastructure costs.

  3. 03

    Team self-service

    Dashboard-as-code and self-service data sources empower every team to build their own views without bottlenecks.

How we implement
  1. 01

    Assess & architect

    We evaluate your observability needs, data volumes, and retention requirements to design the optimal Grafana stack architecture.

  2. 02

    Deploy & integrate

    We install Grafana, Loki, Tempo, and Mimir, configure data sources, build dashboards, and set up alerting pipelines.

  3. 03

    Codify & handoff

    We implement dashboard-as-code workflows, document runbooks, and train your team on stack management and scaling.

Engagement model

How we work

From first call to production — a proven 4-step engagement model that keeps the conversation transparent and the velocity honest.

  1. 01

    Discovery

    We audit your current stack, identify gaps, and align on business goals.

  2. 02

    Assessment

    A detailed roadmap with priorities, effort estimates, and quick wins.

  3. 03

    Delivery

    Our engineers embed with your team and execute sprint by sprint.

  4. 04

    Support

    Ongoing monitoring, optimization, and knowledge transfer to your team.

Common questions

Frequently asked questions

Practical answers about scope, timelines, and how engagements with our Grafana team usually look.

The Grafana LGTM stack (Loki, Grafana, Tempo, Mimir) provides equivalent functionality to Datadog and New Relic at 50-80% lower cost. It is fully open-source with no per-host or per-GB pricing surprises. Our clients typically save $10K-$50K per month after migration while gaining more control over their data.
Yes. ELK-to-Loki migration is one of our most common engagements. Loki uses 10x fewer resources than Elasticsearch for equivalent log volumes because it only indexes labels, not full text. A typical migration takes 4-6 weeks with zero data loss and parallel running during the cutover period.
A 2-hour deep dive into your current monitoring stack, data volumes, and observability gaps. You receive a written report with Grafana stack architecture recommendations, cost comparison against your current tooling, and a phased migration roadmap.
For 90% of organizations, the open-source Grafana stack is sufficient. Enterprise adds features like team sync with LDAP/SAML, enhanced RBAC, and enterprise data sources. We assess your specific needs during discovery and recommend the right tier — we never upsell features you will not use.
We implement Grafonnet (Jsonnet-based) or Terraform providers for dashboard management, integrated into your CI/CD pipeline. Each team owns their dashboards in Git, changes go through PR review, and deployments are automated. This eliminates drift, enables rollback, and scales to hundreds of dashboards across multiple teams.
Talk to engineering

Let's talk about your Grafana strategy

Whether you're starting from scratch or scaling what you have, our engineers are ready to help.