Brian DeVore Consulting
Observability & Intelligence

You can't fix what you can't see. And right now, you can't see much.

Most SMBs have some monitoring — CloudWatch dashboards, a few alerts, maybe another tool or two. What they usually lack is a clean observability setup: structured logs, useful tracing, high-signal dashboards, and recurring review so operators can understand what is happening and respond faster.

The observability problems that slow down every incident

Monitoring tools don't automatically give you observability. These are the gaps we fix in every engagement.

Alert fatigue — everything is P1, nothing is actionable

When every alarm is critical, every alarm is ignored. Teams learn to tune out the noise, which means real problems get missed until customers complain.

You know something is wrong, but not where

A high error rate in your API — is it a slow database query, a third-party timeout, a bad deploy, or infrastructure? Without traces, you're guessing.

Dashboards exist, but they are not built for operators

A generic dashboard is not the same thing as an on-call view or an SLO dashboard. Teams often have graphs, but not the right graphs in the right place when incidents happen.

What's included

Concrete deliverables — not vague "advisory" work.

Observability stack design and implementation

AWS-first observability design that favors client-owned tooling, with CloudWatch and X-Ray by default unless another stack is already the better fit.

Structured logging setup

Consistent, queryable logging with the right core fields so logs are useful for debugging and can be correlated with traces and alerts.

Distributed tracing setup

AWS X-Ray, OpenTelemetry, or another client-approved tracing approach instrumented across the most important request paths first.

SLO dashboard setup

Purpose-built dashboards showing the agreed service indicators and targets for important workloads or user journeys.

Alert tuning review

Recurring review of alert quality and severity so the team is interrupted for the right issues and signal quality improves over time.

On-call dashboard setup

A high-signal responder dashboard with the service-health, alerting, and troubleshooting context on-call operators need first.

Observability review

Recurring review of instrumentation quality, dashboard usefulness, alert quality, and open observability gaps as the environment evolves.

How it works

A structured approach, not trial-and-error.

1

Baseline assessment

We audit the current instrumentation: what is being collected, what is missing, where the blind spots are, and which AWS-first approach makes the most sense.

2

Stack design

We recommend the right client-owned tooling for the environment, favoring AWS-native services by default unless another stack is already the better fit.

3

Implement and instrument

Logging, tracing, dashboards, and alerts are set up for the most important services and operator workflows first.

4

Tune and evolve

Recurring reviews keep dashboards, alerts, and instrumentation aligned as services evolve, and Reliability work can define the runbooks those alerts should point to.

What you can expect

Specific, measurable results — not "improved efficiency."

60–75%

Reduction in alert noise

Alert tuning and severity calibration means your on-call team responds to real problems — not false positives at 3am.

<5 min

Mean time to identify root cause

Correlated logs, metrics, and traces turn a 45-minute root cause investigation into a 5-minute trace lookup.

Clearer

Operator visibility during incidents

Structured logging, tracing, and responder-focused dashboards give operators useful context faster during live incidents.

Who this is for

This service works best for companies in a specific situation. Here's how to know if it's right for you.

SaaS companies with multiple microservices or Lambda functionsDistributed systems are impossible to debug without distributed tracing. If you have more than 3 services, you need traces.
Teams that have had a slow incident response in the past 6 monthsEvery minute of confusion during an incident is a minute of lost revenue and trust. Observability directly reduces that time.
Companies paying for Datadog/Splunk but not getting the valuePremium observability tools are powerful but often badly configured. We help clients get more operator value from the tooling they already have.
Teams being asked to report on SLOs by leadership or investorsSLO dashboards are only credible if the underlying instrumentation is correct. We build it right.

Pricing

Observability & Intelligence is included in the Professional retainer ($2,500/mo) and Growth retainer ($4,000/mo). The standard bundle scope focuses on AWS-first observability setup and recurring review, with client-owned tooling as the system of record. Focused observability implementation work is also available as project scope when needed.

Common questions

Ready to get started?

Schedule a free 30-minute discovery call. No pitch deck. Just an honest conversation about your cloud environment.