Log Architecture Review:
The Signal-to-Noise Audit
We don't just look at your logs; we deconstruct the entire plumbing. A 2-week sprint to map every source, audit every schema, and build a roadmap to clarity.
100% Hands-on, no vendor lock-in
Full architecture audit
A comprehensive audit of your entire observability stack
We leave no stone unturned, identifying exactly where your data is being lost, duplicated, or misinterpreted.
Log Source Mapping
We trace every single byte of data from your application code, infrastructure, and third-party SaaS tools. We map the ingestion points, identify gaps in coverage, and visualize the exact data flow.
Schema Audit
We review your log schemas for consistency, type safety, and field naming conventions. We find the fields that are missing context and flag the logs that are structured but meaningless.
Retention Policy Review
You're likely paying for storage you don't need. We analyze your retention rules against your compliance needs and operational requirements to slash costs without breaking compliance.
Anomaly Baselines
We establish what "normal" looks like for your system. By analyzing historical data, we create baselines that allow us to identify genuine anomalies immediately, reducing alert fatigue.
You know you have a problem when...
If you're seeing any of these signs, a Log Architecture Review is the fastest way to get control back.
- 01. You manage 3+ microservices or a complex Kubernetes cluster.
- 02. Your logs are spread across multi-cloud environments (AWS + GCP + Azure).
- 03. Your Datadog or Splunk bill has gone up 40% in the last quarter.
- 04. On-call engineers spend more time hunting for logs than fixing bugs.
The Outcome
By the end of the 2-week sprint, you won't just have a report. You'll have a prioritized roadmap, a cleaned-up data pipeline, and a team that finally understands how their data is being used.
We don't just tell you what's wrong; we show you how to fix it, step-by-step.
A 2-Week Sprint Breakdown
We move fast, but we don't cut corners. Here is exactly how your review unfolds.
Day 1-2
Ingestion Audit & Mapping. We pull your existing configs, trace the data flow, and identify blind spots in where logs are being collected from.
Day 3-5
Schema & Parsing Deep Dive. We analyze log fields, standardize naming, and identify which logs are structured but lack semantic meaning.
Day 6-8
Retention & Cost Analysis. We review your storage policies and identify opportunities to reduce costs while maintaining compliance.
Day 9-11
Anomaly Baselines. We analyze historical data to establish "normal" traffic patterns, allowing us to spot real issues later.
Day 12-13
Documentation & Reporting. We compile the findings, prioritize the fixes, and draft the architecture documentation.
Day 14
Handover & Workshop. We present the findings, explain the roadmap, and run a workshop with your team to answer questions.
A blueprint for clarity
You'll receive a comprehensive "Before & After" architecture diagram. We visually map your current data flow and highlight exactly where improvements are needed. This isn't a generic templateβit's specific to your environment.
"We thought we had good logs, but LogFlow showed us we were missing 40% of the signal. The review saved us $5k/month in storage alone."
Sarah Jenkins
CTO, FinTechScale
Book Your Log Architecture ReviewStop guessing. Start knowing.
Book your 2-week Log Architecture Review today. We'll identify the bottlenecks, cut the waste, and build a roadmap for a monitoring system that actually works.