Teams consolidating fragmented monitoring tools
Bring infrastructure, application, logs, traces, user experience, synthetics, deployments, and incidents into a coherent operating view.
Infrastructure monitoring, APM, logs, RUM, synthetics, SLOs, incident management, integrations, telemetry governance, and cost control
Datadog observability services
Rokad implements, rationalises, governs, and operates Datadog observability across infrastructure, applications, logs, user experience, service objectives, and incidents.
Platform fit / 01
Designed for teams with a specific platform requirement.
Datadog can correlate infrastructure, APM, logs, user experience, synthetic tests, security signals, objectives, and incidents. Rokad designs service and ownership models, instrumentation, tags, monitors, dashboards, SLOs, retention, sampling, access, incident workflows, and telemetry economics so the platform supports decisions rather than alert volume.
Organisations improving SRE and service ownership
Define services, teams, SLIs, SLOs, error budgets, monitors, runbooks, escalation, and incident communication.
Companies controlling Datadog telemetry cost
Optimise hosts, containers, custom metrics, log ingestion and indexing, trace sampling, retention, tags, and unused integrations.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Datadog receives telemetry without a service model
Hosts, containers, traces, logs, dashboards, monitors, teams, environments, and deployments cannot be connected reliably.
Monitors generate noise without action ownership
Thresholds, duplicates, missing context, weak routing, no runbooks, maintenance, dependencies, and stale resources increase alert fatigue.
Telemetry cost grows through default collection
Cardinality, logs, indexes, retention, APM sampling, custom metrics, containers, and integrations are not governed by value.
Platform capabilities / 03
What Rokad can implement and operate.
01
Datadog organisation, account, integration, tag, service, team, environment, role, usage, and cost assessment
02
Infrastructure, cloud, Kubernetes, container, network, database, serverless, process, and integration monitoring
03
APM, distributed tracing, service maps, deployment tracking, profiling, error tracking, and OpenTelemetry integration
04
Log collection, pipelines, parsing, redaction, routing, archives, indexes, retention, sensitive data, and access controls
05
RUM, synthetics, browser, mobile, API, journey, frontend, and user-impact monitoring
06
Dashboards, notebooks, monitors, composite alerts, SLOs, error budgets, on-call, incidents, and post-incident workflows
07
Telemetry sampling, cardinality, retention, cost allocation, governance, automation, support, and managed observability
Implementation system / 04
The architecture behind a dependable platform delivery.
Service and telemetry model
Services, teams, environments, versions, dependencies, tags, metrics, logs, traces, profiles, events, and deployments.
Detection and objectives
Monitors, anomaly and composite logic, SLIs, SLOs, error budgets, maintenance, routing, escalation, and runbooks.
User and incident workflows
RUM, synthetics, business journeys, incident declaration, responders, communication, evidence, timeline, and review.
Datadog governance
Roles, teams, integrations, API keys, data access, redaction, sampling, retention, usage, cost, automation, and lifecycle.
Use cases / 05
Where this platform creates practical leverage.
Full-stack Datadog implementation
Instrument cloud, Kubernetes, applications, databases, logs, traces, frontend, synthetics, services, dashboards, alerts, and incidents.
Datadog SLO programme
Define service ownership, user journeys, SLIs, objectives, error budgets, burn alerts, release use, review, and reporting.
Datadog cost optimisation
Analyse host and container scope, metrics, tags, logs, indexes, retention, traces, sampling, RUM, synthetics, and unused data.
Monitoring and alert rationalisation
Remove stale and duplicate alerts, align detection to user impact, improve routing and context, and establish monitor lifecycle ownership.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Unified service tagging is foundational
Apply consistent service, environment, version, team, region, tenant, and domain dimensions across every telemetry source.
Logs and traces are governed before ingestion
Filter, redact, sample, aggregate, route, retain, archive, and index according to investigation, security, compliance, and cost value.
SLOs connect telemetry to operating decisions
Use objectives and error budgets to guide alerts, incidents, capacity, releases, reliability work, and stakeholder reporting.
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
Datadog integration, telemetry, service, tag, monitor, role, usage, cost, and risk assessment
Service, instrumentation, log, trace, dashboard, alert, SLO, incident, and governance architecture
Production agents, integrations, OpenTelemetry, pipelines, dashboards, monitors, RUM, and synthetics
SLIs, SLOs, burn alerts, runbooks, routing, on-call, incident, and post-incident workflows
Sampling, parsing, redaction, retention, archive, access, cost, and lifecycle controls
Developer, SRE, operator, security, finance, 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
Grafana
Open and managed metrics, logs, traces, profiles, dashboards, alerts, and observability platform engineering.
02
New Relic
Application, infrastructure, logs, browser, synthetics, service levels, alerts, and telemetry operations.
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
Datadog observability services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad reduce Datadog cost without losing critical visibility?
Can Rokad reduce Datadog cost without losing critical visibility?
Yes. We classify telemetry by operational value and optimise collection, tags, custom metrics, logs, indexes, retention, trace sampling, hosts, containers, and synthetic coverage.
02Can Rokad implement Datadog with OpenTelemetry?
Can Rokad implement Datadog with OpenTelemetry?
Yes. We design collectors, agents, protocols, resources, attributes, sampling, routing, correlation, backpressure, security, and ownership according to the telemetry architecture.
03Can existing Datadog monitors and dashboards be audited?
Can existing Datadog monitors and dashboards be audited?
Yes. We review ownership, usage, duplication, stale resources, thresholds, routing, context, maintenance, service impact, tags, runbooks, and incident outcomes.
04Can Rokad operate Datadog continuously?
Can Rokad operate Datadog continuously?
Yes. Managed scope can cover integrations, instrumentation, monitors, dashboards, SLOs, incidents, telemetry pipelines, access, usage, cost, and roadmap changes.
Datadog · Site reliability engineering
Turn Datadog telemetry into service ownership, reliable detection, and controlled operating cost.
Rokad can implement instrumentation, rationalise monitors and dashboards, build SLOs and incidents, and govern telemetry economics.
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.