
NetFlow/IPFIX Analyzer Starter — From Raw Flows to Real Answers
Most networks generate a sea of flow records every minute, yet many teams still guess their way through capacity questions, security incidents, and cloud egress surprises. The NetFlow/IPFIX Analyzer Starter is a fully digital toolkit that turns those records into something you can actually use. Instead of shipping hardware or scheduling consulting calls, you download self-paced lessons, editable templates, working examples, and a small library of dashboards that make your first week productive. The goal is simple: give you a clean path from exporters to evidence, and from evidence to decisions.

From Flows to Facts.
We provide a downloadable program that turns scattered flow data into baselines, detections, and explanations. The program guides you through exporter hygiene, template negotiation, and schema choices that matter for performance, security, and finance. It shows how to calculate the ninety-fifth percentile correctly, how to separate sustained growth from transient bursts, and how to speak about egress in dollars as well as packets. It also teaches traffic forensics without drama, helping you reconstruct who talked to whom, when, and how much, using only flows and light enrichment. Everything is self-paced, instantly available, and designed for teams that prefer to learn by doing.

Baselines You Can Defend.
This is ideal for network engineers who need credible baselines, SRE and operations teams who want low-noise alerting, security analysts who must triage with speed, and platform owners who carry budgets and contracts into leadership meetings. It also suits hybrid architects who bridge on-premises environments with public cloud accounts, and finance partners who want a shared picture of demand before funding upgrades. If you have ever stared at a dashboard and asked, “What does normal look like on a Wednesday after a release?”, this starter exists to answer that.

Capacity Decisions, Not Debates.
You cut investigation time because the first view already suggests the next question. You reduce false positives because detectors are bound to business context rather than abstract thresholds. You defend upgrade timing with charts that show real saturation pressure, not vibes. You make cloud routing and peering conversations concrete by showing where cost and performance diverge. You make on-call kinder by sending fewer, better alerts that are easy to route and deduplicate. Most importantly, you grow trust: the same query that found the issue is the query anyone on the team can rerun to verify the claim.

Dashboards That Survive Printouts.
You can capture a weekday baseline that highlights which sites and applications truly dominate your links, and you can prove the difference between normal batch activity and suspicious bursts. You can run a focused forensic timeline that reconstructs a single conversation and pivots by ASN or service tag without downloading raw logs. You can take a cloud bill and attach it to traffic in and out of regions, then quantify what changing a path might save. You can measure the impact of a new release by comparing flow shapes before and after a change window. You can show a partner what their peering looks like in practice, down to the hour. You can demonstrate hybrid consistency by putting on-premises and cloud flows side by side using the same schema.
We are practitioners who have stood in noisy war rooms and quiet capacity reviews. We have negotiated sampling on overloaded routers, normalized mismatched templates, and explained ninety-fifth percentile math to non-engineers who only wanted to know if a link would hold. We built this starter because we wished for a compact, honest set of assets that made network decisions easier without locking teams into a particular vendor. We believe evidence should be readable, detectors should be defensible, and training should respect your time.

Investigations That Reproduce.
Our assets are tool-agnostic and portable, so you are not betting your future on a single collector or visualization stack. Our examples are grounded in mixed environments, including asymmetric paths and NAT illusions that break naive analysis. Our detectors are narrow on purpose and documented with the assumptions that make them work. Our capacity materials tie directly to budgets and contracts, which means they help across engineering and finance, not just inside a network team. Our lessons are short by design, and every file you download exists to shorten a meeting or prevent one.
Detections With Context.
Choose this program if you want a repeatable way to show progress fast, a shared vocabulary across engineers and managers, and a practical route from data to action without another platform to maintain. Choose it if you want a small set of artifacts you can pass to a colleague who was not in the room and still have them understand what to do. Choose it if you value clarity over novelty and trust over theatrics. The work should stand on its own; the kit helps it do exactly that.