Azure is already the agent. ZDZCIO reuses what Application Insights and Azure Monitor already collect and delivers full-stack observability on top — no per-host agents, no changes to your code. One-click connection via device code, using your own Microsoft account.
To see your system's health, the classic model asks for a lot upfront: an agent on every host, hands in your code, and a contract that ties you to a vendor. And the bill keeps climbing as your volume grows.
Install, version and maintain an agent on every machine, container and function. Every new host is one more piece of third-party software running on your infrastructure — and one more thing that can break.
Instrument the application, ship an SDK, redeploy. Observability that requires code changes turns "I just want visibility" into yet another engineering project.
Your data lives in the vendor's format, with whatever retention the plan allows. Switching tools means redoing the instrumentation from scratch.
At peak traffic — exactly when visibility matters most — is when data-volume billing spikes. You end up sampling, dropping logs and cutting retention to fit the budget. Observability should not punish growth.
No new agents, no SDK in your code. ZDZCIO connects to your Microsoft account via device code and reuses the collection Application Insights and Azure Monitor already do — serving full-stack observability across ~20 screens.
You authorize with your own Microsoft account, in 1 click. No agents to install, no infra tickets to open. Time-to-first-dashboard in minutes.
→The telemetry Azure already collects becomes the source. Raw-first model: sources become ingestion tables and the analytical tables are always re-derivable.
→In a single SQL store, Azure DevOps commits, PRs and pipelines sit side by side with platform health — delivery and operations on the same screen.
→Application Insights typically retains a window of just a few months. ZDZCIO rollups accumulate forever — the historical series does not vanish when you need it most.
Verified live against a real Azure environment. The same coverage you expect from the category — traces, SLOs, anomalies, database, Kubernetes, RUM, costs.
Our AI products declare their AI. This one declares the opposite — and that is a feature. In ZDZCIO there is no generative AI and no LLM: the intelligence is deterministic and statistical, and labeled as such. No pretty answers that can hallucinate about your system's health.
There are 38 auditable PDF document types — status, forecast, Pareto, acceptance and closure sign-offs, change management/CAB, RAID, RTM, audit dossier, committee pack. Each one is stamped with a SHA-256 hash and a QR seal that deep-links into a Document Center for public authenticity verification. No login. It is the "governance moat" observability incumbents do not have.
The PDF content generates a unique hash. Changing a single byte breaks the seal — the document becomes verifiable and tamper-proof.
Whoever receives the document points their phone at it and checks its authenticity in the Document Center, no account needed. A notarized artifact, not a promise.
Change management/CAB, RAID, RTM, acceptance and closure sign-offs, audit dossier, committee pack. Formal governance on top of the same living data.
(illustrative example · the hash and QR above are fictitious, for demonstration only — they do not correspond to any real document)
Multi-tenancy is not a checkbox on a slide: it is a test that breaks the build if the organization scope is missing from any query. If isolation could leak, the code would not even compile.
No "we are better at everything". Traditional observability — the Dynatrace and Datadog category — is strong, and we give it credit. The matrix below is honest: MATCH where there is parity, CLOSE where we get there by a different path, BEYOND where we deliver something no pure dashboard has.
| Capability | Traditional observability (Dynatrace / Datadog category) |
ZDZCIO |
|---|---|---|
| Installation | Per-host agent + code instrumentation | BEYOND Agentless — Azure is already the agent. Zero agents, zero code. |
| Full-stack screens (traces, SLOs, DBM, K8s, RUM) |
Broad, mature coverage | MATCH ~20 screens verified live against a real Azure environment. |
| Anomaly detection | Proprietary models (black box) | CLOSE Deterministic baselines (median+MAD), zero config, auditable. |
| Auditability of the intelligence | Hard to explain line by line | BEYOND Deterministic and explainable — no LLM that could hallucinate. |
| Sealed documents (SHA-256 + public QR) |
Not part of the offering | BEYOND 38 auditable PDF types with public verification. |
| Historical retention | Limited by the plan's window | BEYOND Rollups accumulate forever; the series never expires. |
| Cost model | Grows with ingested data volume | BEYOND Predictable — it reuses the collection Azure already does. |
Editorial category comparison, with no mention of third-party pricing. Dynatrace and Datadog are trademarks of their respective owners, cited only as a category reference.
An agentless assessment that shows, in your own Azure environment, what ZDZCIO can see without installing a single agent — and how sealed documents close the governance loop. AI + People: the intelligence is deterministic and auditable; the decision is yours.