Can Grafana replace Datadog entirely?

Partially — metrics/logs/traces yes for many stacks; proprietary APM niches may stay. We map phased migration with parallel dashboards during validation.

How do you control cardinality costs?

Label drop rules, recording aggregates, and review of high-cardinality dimensions (user_id in labels is usually banned).

Do you host Grafana for us?

We implement on your Kubernetes or VMs, or configure Grafana Cloud in your org. Managed ops can be a retainer.

Can non-technical stakeholders view dashboards?

Yes — Grafana viewers, public snapshots (careful), or embedded panels in internal Notion/Confluence with SSO.

What about GDPR in logs?

PII scrubbing at ingest (Loki pipeline stages, OTel processors) is scoped when logs contain emails or tokens — with retention limits documented.

Service

Grafana Dashboards

Grafana Cloud or self-hosted — data sources, dashboards, alerting and team access.

Grafana Cloud or self-hosted dashboards wired to Prometheus, Loki, and Tempo — with alerts humans act on. Fixed-scope from €4,200; quote within 24 hours after intake.

Scope Grafana dashboards Review observability stack

Details & FAQs

Grafana dashboards, alerting, and LGTM stack integrations for SRE and platform teams who need metrics that match on-call reality.

Grafana as the visualization layer — not another silo

Grafana unifies metrics (Prometheus/Mimir), logs (Loki), traces (Tempo), and third-party datasources (CloudWatch, Datadog, PostgreSQL) into dashboards ops teams actually open during incidents.

We design around on-call workflows: golden signals per service, SLO panels, and drill-down links from alert to log query — not 400 orphaned charts from a template gallery.

Grafana Cloud vs self-hosted Grafana OSS

Grafana Cloud reduces ops toil — managed Mimir/Loki/Tempo, SSO, and billing by usage. Self-hosted suits air-gapped environments, custom plugins, or cost control at very large scale.

We document egress, retention, and cardinality costs before Cloud commit so finance does not get surprise invoices from high-cardinality labels.

Dashboard design standards and as-code

Dashboards live in Git (Jsonnet, Terraform, or Grizzly) with review PRs — not manual UI edits lost on upgrade. Variables, units, and legends follow naming conventions your whole org shares.

We delete vanity metrics during migration: if nobody acted on a panel in 90 days, it does not ship to production folders.

Alerting: routes, silences, and on-call integration

Alert rules use multi-window burn rates for SLOs where applicable; simple threshold alerts for batch jobs. Notification policies route to PagerDuty, Opsgenie, Slack, or email with severity labels.

We tune alert noise in hypercare week — flapping alerts get recording rules or adjusted `for` durations before handoff.

OpenTelemetry and instrumentation gaps

Dashboards are only as good as emitted metrics. We scope OTel collector deployment, service discovery, and exemplars linking traces to metrics when apps lack instrumentation.

Kubernetes, Nomad, and serverless each need different scrape configs — documented in the runbook, not tribal kubectl knowledge.

Security, RBAC, and audit for enterprise Grafana

Folder permissions, service accounts, and API keys follow least privilege. Enterprise features (SSO SAML, audit logs) are configured for compliance buyers.

Indicative engagements from €4,200 for core service dashboards + alert routes; full LGTM stack migrations are quoted after datasource inventory.

Scope Grafana dashboards

What's included

Data source wiring (Prometheus, Loki, CloudWatch, etc.)
Dashboard design for ops and stakeholders
Alert rules and notification channels
Folder structure and permission model

What you receive

Architecture diagram (agents, datasources, retention)
Dashboard JSON / Jsonnet in your repo
Alert rule set with runbook links
RBAC and folder permission matrix
Noise tuning report after hypercare
Upgrade and backup runbook (self-host)

Frequently asked

Can Grafana replace Datadog entirely?: Partially — metrics/logs/traces yes for many stacks; proprietary APM niches may stay. We map phased migration with parallel dashboards during validation.
How do you control cardinality costs?: Label drop rules, recording aggregates, and review of high-cardinality dimensions (user_id in labels is usually banned).
Do you host Grafana for us?: We implement on your Kubernetes or VMs, or configure Grafana Cloud in your org. Managed ops can be a retainer.
Can non-technical stakeholders view dashboards?: Yes — Grafana viewers, public snapshots (careful), or embedded panels in internal Notion/Confluence with SSO.
What about GDPR in logs?: PII scrubbing at ingest (Loki pipeline stages, OTel processors) is scoped when logs contain emails or tokens — with retention limits documented.

Related services

Useful for these industries

SaaS

Alerts firing but nobody trusts the dashboards?

30-minute intake. Fixed-scope Grafana quote within 24 hours.

Scope Grafana dashboards