Datadog Consulting

DataDog consulting and implementation services help DevOps teams get full value from the platform. We design dashboards, tune alerts, configure APM tracing, and optimise Datadog spend so your team focuses on engineering, not fighting noise.

DataDog

What we deliver with Datadog

As an official Datadog partner (Standard Tier) since 2022, delivering Datadog implementations since 2019, our consultants work hands-on in your environment to:

  • Design and build custom dashboards tailored to your team's workflows and SLOs
  • Tune alerting to reduce noise and surface real incidents faster
  • Configure APM tracing across microservices for end-to-end visibility
  • Optimise Datadog costs by eliminating unused metrics, logs, and custom tags
  • Integrate Datadog with your CI/CD pipeline, incident management, and on-call tooling
  • Migrate from legacy monitoring (Nagios, Zabbix, CloudWatch-only) to Datadog

Why teams choose our Datadog consulting

Dashboards that drive decisions

Dashboards that drive decisions

Custom dashboards designed for your team's SLOs, not generic templates

Alert noise reduction

Alert noise reduction

Fewer false positives, faster response to real incidents

End-to-end APM visibility

End-to-end APM visibility

Trace requests across services to find bottlenecks and latency sources

Datadog cost optimisation

Datadog cost optimisation

Right-size your Datadog spend by eliminating unused metrics and log volume

Scalable observability architecture

Scalable observability architecture

Tagging strategies, RBAC, and multi-team configurations that grow with you

Our Datadog implementation scope

Dashboard Design & Optimisation

Custom dashboards for infrastructure, application, and business KPIs with proper tagging and drill-down capabilities

APM & Distributed Tracing

End-to-end application performance monitoring, service maps, and latency analysis across microservices

Log Management & Pipeline Configuration

Log ingestion pipelines, parsing rules, exclusion filters, and correlation with metrics and traces

Alert Tuning & Incident Workflows

Monitor definitions, composite alerts, downtime scheduling, and integration with PagerDuty, Opsgenie, or Slack

Datadog Cost Management

Usage audits, custom metrics cleanup, log volume optimisation, and commitment planning to control Datadog spend

Migration to Datadog

Migration from Prometheus, Grafana, CloudWatch, Nagios, or Zabbix to Datadog with minimal observability gaps

Looking for observability beyond Datadog? See our full observability service →

Datadog implementations are often part of a broader cloud migration project - we stand up observability (APM, dashboards, alerting) from the start so monitoring and cost visibility are in place before cutover. See our AWS cloud migration services.

Frequently asked questions

A Datadog consultant helps DevOps teams implement and optimise Datadog. This includes designing custom dashboards aligned to SLOs, configuring APM tracing across microservices, setting up log ingestion pipelines, tuning alerts to reduce noise, and optimising Datadog costs by eliminating unused metrics and custom tags. At Devopsity, our Datadog consultants work hands-on in your environment rather than producing reports from the outside. See our e-commerce Datadog implementation case study for a real example.

Devopsity offers Datadog consulting in flexible hourly packages starting from 4 hours per month for focused reviews, 8 hours for workshops with implementation, and 16+ hours for sprint engagements. Pricing depends on scope and complexity. Contact us for a quote tailored to your environment.

Yes. Devopsity handles migrations from Prometheus, Grafana, CloudWatch, Nagios, and Zabbix to Datadog. We map existing dashboards and alerts, configure equivalent monitors in Datadog, set up log and metric ingestion, and run both systems in parallel during transition to ensure no observability gaps.

Yes. Datadog cost optimisation is one of our core services. We audit your current usage, identify unused custom metrics, reduce log volume through exclusion filters and pipeline optimisation, review tag cardinality, and help plan commitments (reserved pricing) to lower your monthly Datadog bill.

Devopsity delivers Datadog consulting remotely across Europe, including the UK, Germany, Austria, Switzerland, Netherlands, and the Nordics. All work is delivered in English or Polish.

Datadog observability consulting is a service that helps teams get full visibility into their systems using Datadog's metrics, traces, and logs (the three pillars of observability). It covers instrumenting applications with APM, correlating logs and traces, building SLO-based dashboards, and cutting alert noise so real incidents surface faster. Devopsity provides Datadog observability consulting hands-on in your environment, and also advises when an open, tool-agnostic observability approach fits better than a single vendor. See our observability service.

Devopsity's Datadog consulting services cover six areas: custom dashboard design against your SLOs, APM and distributed tracing across microservices, log management and pipeline configuration, alert tuning and incident workflows (PagerDuty, Opsgenie, Slack), Datadog cost optimisation, and migration to Datadog from Prometheus, Grafana, CloudWatch, Nagios, or Zabbix. Engagements run from 4 hours a month for focused reviews up to full sprint implementations.

Datadog implementation is the hands-on setup work: instrumenting services, building dashboards, configuring log pipelines, and wiring up alerts. Datadog consulting is the advisory layer around it: deciding what to monitor, defining SLOs, designing a tagging and RBAC strategy, and planning cost commitments. Devopsity delivers both together - we advise on the strategy and do the implementation, rather than handing over a slide deck.

Yes. Devopsity is an official Datadog partner (Standard Tier) since April 2022, and we have been delivering Datadog implementations since 2019. Our engineers work hands-on across Datadog APM, log management, dashboards, alerting, and cost optimisation, and we deliver migrations from legacy monitoring tools. We also stay tool-aware: we will tell you honestly when Datadog is the right fit and when an alternative observability stack would serve you better.

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