Observability Audit
Thorough analysis of your current monitoring stack. Identification of blind spots, overlap, and optimization opportunities. Result: a clear roadmap.
We design and implement observability strategies for international enterprises. From monitoring chaos to structured insight — so your team acts faster during incidents and makes better decisions.
An observability architect designs the strategy that gives your organization insight into the health, performance, and behavior of complex IT systems. The difference with traditional monitoring? Observability goes beyond alerts — it answers questions you haven't asked yet. Every term used here is explained in the glossary.
Traditional monitoring only alerts when it's too late. Dashboards full of noise, no correlation between services, long incident times.
Structured telemetry (metrics, traces, logs) correlated into insights. Proactive instead of reactive. Context with every alert.
Shorter MTTR, less alert fatigue, data-driven decision-making. Your team knows exactly where the problem is — and why.
Thorough analysis of your current monitoring stack. Identification of blind spots, overlap, and optimization opportunities. Result: a clear roadmap.
Stress testing, bottleneck analysis, and capacity planning. We find the weak spots before your customers do.
Tool-agnostic advice and implementation. We work with what your organization already has, or recommend the best choice if you're just starting out.
End-to-end observability strategy. From architecture to team training. We build the foundation your SRE team can thrive on.
Thirty minutes, free and without obligation. You outline your environment and your question; we tell you honestly whether and how we can help.
Two to four weeks. We map your current monitoring: blind spots, overlap, cost and the questions you cannot get answered. Result: a roadmap with priorities.
We build the strategy into your environment, with the tooling you already have or the choice that fits best. Instrumentation, dashboards, alerts and privacy policy, step by step into production.
Your team takes over: training, runbooks and a handover in which every decision is written down. We stay available, but you no longer need us.
A mortgage adviser without an ops team wanted to see within thirty seconds whether booking and contact work. We built in error monitoring, privacy by design and performance measurement from day one, and made failure signals visible that status codes kept hidden.
Read the case →Observability strategy for a bank with 200+ microservices. Integrated tracing and log correlation.
Performance engineering and stress testing for a major online retailer. Bottlenecks found and resolved before peak traffic.
Monitoring restructured at a healthcare platform. From 200+ daily alerts to only relevant notifications.
Monitoring tells you that something is wrong. Observability tells you why — and gives your team the tools to understand new, unforeseen problems without knowing what to look for in advance.
An audit typically takes 2-4 weeks. A full implementation 2-6 months, depending on the complexity of your environment.
No. We are tool-agnostic. Does your organization already use a platform? We work with it. Just starting out? We recommend the best choice for your situation.
Any organization with multiple applications, microservices, or hybrid cloud environments. From scale-ups to publicly traded companies — wherever downtime costs money.
APM tracks the performance and errors of applications, usually with automatic instrumentation and ready-made dashboards. Observability goes further: it correlates metrics, traces and logs across every component, including infrastructure and external integrations, so you can also answer questions the tooling did not anticipate. APM is often a good part of an observability strategy.
Yes, especially there. A small site rarely has an ops team, so the monitoring itself has to say whether the key flows work. In our case for belderbrandt.nl one person sees within thirty seconds whether booking and contact are healthy, with alerts as a safety net.
OpenTelemetry is the open standard for collecting metrics, traces and logs, independent of the platform you send them to. For new instrumentation it is usually the best choice, because you can switch platforms later without changing your code. You do not have to throw away existing agents for it.
An SLO is an internal target for a measurement, for example 99.5 percent successful requests per month. An SLA is a contractual promise to a customer, with consequences if it is missed. Set the SLO stricter than the SLA, so you act before a customer notices anything.
Peekmon supports and enriches your existing observability tools. It collects data from multiple sources and feeds your monitoring stack with structured insight.
Book a free strategy call. We analyze your situation and advise without obligation.