Teams building an open observability stack
Combine Grafana with suitable metrics, logs, traces, profiles, collectors, alerts, and storage under controlled ownership.
Grafana and Grafana Cloud, metrics, logs, traces, profiles, OpenTelemetry, dashboards, alerting, SLOs, multi-tenancy, and operations
Grafana observability services
Rokad designs, implements, migrates, governs, and operates Grafana observability platforms across metrics, logs, traces, profiles, dashboards, alerts, and service objectives.
Platform fit / 01
Designed for teams with a specific platform requirement.
Grafana can unify metrics, logs, traces, profiles, events, and data sources through open-source or managed architectures. Rokad designs collection, storage, tenancy, labels, dashboards, correlations, alerting, SLOs, access, retention, scaling, cost, upgrades, and operations around service and investigation workflows.
Organisations adopting Grafana Cloud
Design telemetry collection, access, usage, integrations, service modelling, alerting, SLOs, retention, and cost controls.
Companies consolidating dashboards and alerting
Standardise folders, teams, data sources, labels, templates, dashboards, alerts, correlations, runbooks, and lifecycle governance.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Dashboards exist without a consistent telemetry model
Labels, services, environments, data sources, variables, units, thresholds, and ownership differ across teams.
Open-source components are deployed without platform operations
Scaling, storage, retention, compaction, tenancy, upgrades, backup, security, query limits, and incident response are not owned.
Metrics, logs, traces, and profiles cannot be correlated
Resource attributes, labels, trace identifiers, exemplars, links, timestamps, and service metadata are inconsistent.
Platform capabilities / 03
What Rokad can implement and operate.
01
Grafana OSS and Grafana Cloud architecture, tenancy, data source, access, usage, cost, migration, and operating assessment
02
Prometheus and compatible metrics, Loki logs, Tempo traces, profiling, OpenTelemetry, collectors, agents, and telemetry pipelines
03
Dashboards, variables, libraries, folders, teams, permissions, provisioning, versioning, annotations, and deployment tracking
04
Grafana Alerting, notification policies, contact points, silences, maintenance, multi-source alerts, runbooks, and escalation
05
Service and entity modelling, correlations, exemplars, links, RED and USE views, SLOs, error budgets, and investigations
06
Multi-tenancy, authentication, SSO, data-source credentials, network access, retention, quotas, limits, and sensitive data controls
07
High availability, scaling, storage, backup, upgrades, performance, query governance, cost, support, and managed operation
Implementation system / 04
The architecture behind a dependable platform delivery.
Telemetry pipeline
Instrumentation, collectors, agents, receivers, processors, exporters, labels, resource attributes, sampling, routing, and security.
Signal platforms
Metrics, logs, traces, profiles, storage, tenancy, retention, scaling, compaction, query, backup, and lifecycle.
Grafana experience
Data sources, dashboards, correlations, Explore, alerts, SLOs, folders, teams, access, provisioning, and documentation.
Observability operations
Health, capacity, query performance, ingestion, cardinality, incidents, upgrades, cost, support, and platform roadmap.
Use cases / 05
Where this platform creates practical leverage.
Grafana Cloud implementation
Connect infrastructure, Kubernetes, applications, logs, traces, profiles, services, dashboards, alerts, objectives, and teams.
Self-hosted observability platform
Design and operate Grafana and selected signal backends with tenancy, scaling, storage, security, backup, and upgrades.
OpenTelemetry and signal correlation
Standardise resource attributes and identifiers so users can move between metrics, logs, traces, profiles, and deployments.
Dashboard and alert governance
Create reusable libraries, standards, provisioning, folders, permissions, ownership, testing, review, and retirement workflows.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Telemetry identity is shared across signals
Use consistent service, environment, version, instance, cluster, namespace, team, region, and trace attributes for correlation.
Signal storage follows investigation value
Select retention, resolution, sampling, indexing, labels, object storage, replicas, and query limits per signal and user need.
Dashboards and alerts are provisioned assets
Version critical resources, validate queries and data sources, review changes, preserve ownership, and promote across environments.
Quality and governance / 07
Production controls are part of the implementation.
Telemetry with ownership
Metrics, logs, traces, profiles, events, entities, services, teams, environments, and deployments are consistently attributed.
Actionable alerts and objectives
Alerts, SLIs, SLOs, error budgets, escalation, runbooks, maintenance, and incident workflows are designed around user impact.
Controlled telemetry economics
Collection, sampling, cardinality, parsing, indexing, retention, access, sensitive data, and vendor cost are governed deliberately.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
Grafana platform, telemetry, data source, dashboard, alert, access, usage, cost, and risk assessment
Collector, signal, tenancy, correlation, dashboard, alert, SLO, and operating architecture
Production Grafana, integrations, collectors, metrics, logs, traces, profiles, dashboards, and alerts
Service models, correlations, SLOs, error budgets, runbooks, routing, and incident workflows
Access, provisioning, retention, scaling, backup, upgrade, query, cost, and lifecycle controls
Developer, SRE, platform, security, operator, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Datadog
Managed full-stack observability, APM, logs, user experience, SLOs, incidents, and telemetry governance.
02
New Relic
Managed application and infrastructure observability, logs, browser, synthetics, alerts, and service levels.
01
Cloud and DevOps
Cloud architecture, delivery automation, observability, security, reliability, and platform operation.
02
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
03
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
FAQ
Grafana observability services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad build a self-hosted Grafana observability platform?
Can Rokad build a self-hosted Grafana observability platform?
Yes. We design signal backends, collectors, storage, tenancy, scaling, retention, authentication, network, backup, monitoring, upgrades, and support.
02Can Rokad implement Grafana Cloud with OpenTelemetry?
Can Rokad implement Grafana Cloud with OpenTelemetry?
Yes. We configure SDKs, collectors, resource attributes, processing, sampling, routing, authentication, correlation, dashboards, alerts, and operating ownership.
03Can dashboards and alerts be stored in source control?
Can dashboards and alerts be stored in source control?
Yes. We can provision suitable resources through configuration or APIs, define environments and ownership, validate changes, and preserve controlled manual workflows where needed.
04Can Rokad migrate from another monitoring platform?
Can Rokad migrate from another monitoring platform?
Yes. We inventory integrations, signals, queries, dashboards, alerts, SLOs, users, retention, cost, incidents, and operational dependencies before migration waves.
Grafana · Site reliability engineering
Build Grafana around correlated signals and an operated telemetry platform.
Rokad can design the collection and storage architecture, implement dashboards and alerts, establish SLOs, and manage scale and cost.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.