Datadog Implementations & Migrations

Start smart—set it up right the first time.

Whether you're migrating into Datadog or rolling it out from scratch, we ensure every metric, trace, and log is wired for accuracy, clarity, and long-term use.

What we look at

• Clean initial setup and essential integrations
• Tagging strategy and service naming that scales
• Dashboards teams actually use (and understand)
• End-to-end APM and log correlation
• Kubernetes agent deployment and cluster integration
• Full-stack visibility and service-level context on day one

Configuration & Best Practices

Already running Datadog? This is where most environments either get clean—or get expensive.

We fine-tune your setup so it’s clean, scalable, and doesn’t burn money. This isn’t “day-one implementation” — it’s what makes your environment sane long after you’ve gone live.

Focus areas

• Set clear alerting thresholds and reduce noise
• Standardize tagging and service naming
• Right-size data retention for visibility and cost
• Eliminate high-cardinality and noisy metrics
• Improve Kubernetes visibility and reduce sprawl
• Fix usage patterns that drive up costs

Ongoing Practical Support

Datadog expertise—when and how you need it.

Designed for teams who’ve completed an implementation or optimization with NoBS. We don’t believe in bloated contracts — just the support you actually need.

Our Ongoing Practical Support gives you a flexible bucket of monthly consulting hours—used exactly where they matter most.

Common uses include

• Hands-on troubleshooting and real-time fixes
• Custom engineering support and technical guidance
• Configuration updates and performance tuning
• Team enablement, training, or strategic advice

Talk to an Engineer

Datadog Reality Checks

Think your Datadog environment is perfect? Spoiler: it’s not.

If you're already running Datadog, a Reality Check is how you separate what’s actually working from what just looks busy. It’s a focused, engineering-led assessment designed to surface blind spots, cost leaks, and bad habits before they turn into bigger problems.

In two weeks or less, you get a clear, prioritized report that tells you exactly what to fix, what to leave alone, and what’s quietly costing you more than it should — in noise, effort, or spend.

What we look at

• Tagging and service naming consistency (and gaps)
• Custom metrics — value vs. cost
• Log processing and indexing efficiency
• Synthetic coverage and testing blind spots
• Usage and licensing alignment with your Datadog contract
• High-impact improvements worth fixing first

Bespoke Monitoring Solutions

If your stack isn’t off-the-shelf—your Datadog setup shouldn’t be either.

Typically engaged after initial implementation or optimization — we build custom Datadog monitoring solutions that solve real-world problems, not just checkbox setups.

What we build

• Tailored observability consulting for complex environments
• Custom dashboards, monitors, and integrations
• Strategies built around your architecture
• App Builder and Workflow automation
• Deep support for edge cases