Most organisations already sit on vast amounts of telemetry, but very little of it is organised, governed, and replayable enough to behave like evidence. DORA effectively raises the bar from “we have some logs somewhere” to “we can show, end-to-end, what happened and how we know.”
From “do we have data?” to “we have evidence”
In a DORA‑ready organisation, a major incident or resilience test still triggers triage, containment, coordination, impact assessment, and structured reporting. The big difference shows up when someone asks, “Can you show me exactly what happened, across systems and suppliers, and how you know?”
Instead of four or five teams pulling their own exports and assembling their own timelines, everyone works from a shared evidence layer. Source events, metrics, traces, and change records are onboarded once and reused many times. Normalisation and enrichment happen in a consistent way before data hits analytics tools. Evidence‑grade history is retained in a form that makes it cheap enough to keep and practical to query and replay.
Your SIEM, XDR, observability tools, data lakes, GRC platforms, and reporting templates still matter. The point is that they are now reading from the same underlying telemetry fabric rather than each living in its own data silo. That is the heart of “DORA without the fire drills.”
What a telemetry control plane is and why DORA cares
The easiest way to think about this is to imagine a telemetry control plane as the data equivalent of your network fabric. It sees where telemetry comes from, including servers, endpoints, cloud services, SaaS platforms, mainframes, and third‑party providers. It shapes that telemetry, reducing noise, enriching with context, and normalising formats based on your risk appetite and DORA obligations. It decides where data should go, whether that is SIEM, observability tools, data lakes, DORA reporting stores, or information‑sharing mechanisms. And it preserves evidence‑grade copies in open formats for long‑term retention and replay.
Instead of dozens of ad‑hoc point‑to‑point integrations, you have a control plane that sits upstream of your tools, regardless of vendors. This is key because it directly addresses DORA's main goals: understanding tech risks, fixing incidents, testing resilience, managing external partners, and sharing information reliably.
Cribl’s platform is designed to be that control plane. Cribl Edge focuses on collection from almost anywhere. Cribl Stream is the central processing and routing layer. Cribl Lake keeps long‑term, evidence‑grade telemetry in open formats with appropriate access controls and retention. Cribl Search lets analysts and engineers interrogate data where it already lives. Cribl AI helps people ask better questions and assemble clearer narratives on top of that evidence, rather than in a detached side‑system.
Making resilience provable under scrutiny
Assume the telemetry control plane is already in place during, say, a shared payments incident.
Before anything goes wrong, key telemetry flows from the payments platform and its You collect, enrich, and tag dependencies with service, entity, and provider metadata.
You write evidence-grade copies of flows to long-term storage, including lineage (source and transformation recorded).
During an incident, your time-sensitive streams quickly reach SOC and observability tools, giving analysts the context they need.
You control routing and filtering to increase fidelity as the situation evolves without disrupting your stack.
After the dust settles, you reconstruct a real timeline by querying your evidence directly, across hot and cold stores, instead of rehydrating huge archives into a SIEM or swapping spreadsheets. Incident narratives for reports, internal lessons learned, and board updates all draw from the same underlying dataset, even if you write them differently for each audience.
The advantage is not just speed. It is defensibility. When supervisors or auditors ask why your timeline or impact assessment looks the way it does, you can point to specific data flows, transformation rules, and lineage rather than screenshots of whatever dashboard happened to be up at the time. Better telemetry can also lead to better insight in the root causes of incidents, including recurring incidents. Addressing these issues will improve resilience.
Making resilience affordable at DORA scale
A telemetry control plane is how you escape the “ship everything to SIEM and hope” pattern and still meet DORA’s evidence expectations at scale. Instead of a single default route, you define clear, risk-based paths:
Critical, time-sensitive data (supporting critical or important functions) goes to SIEM, XDR, and observability tools at full fidelity.
Medium-value data is thinned or aggregated before it hits premium analytics but preserved with appropriate detail in the evidence layer.
Low-value or highly repetitive signals bypass expensive platforms and land only in governed, cost-efficient storage you can still search when needed.
Because this logic sits upstream of individual vendors, you can swap or consolidate tools without rebuilding your DORA evidence chain. You extend retention for high-value data without doubling your SIEM bill and make auditable trade-offs about what you collect and keep based on risk, not license limits.
Making resilience joined-up across security, IT, and third parties
DORA treats operational resilience as a whole-of-estate problem. A shared telemetry fabric keeps security, IT, and risk working from the same evidence:
SOC teams see signals enriched with service, asset, and provider context.
IT operations and SRE see the same events and metrics in their tools, aligned on time and identifiers.
Risk, resilience, and DORA program teams query the evidence layer directly for incidents, tests, and third-party analysis, while data teams reuse it for dashboards.
That shifts reviews and post-mortems from dashboard arguments to joint decisions grounded in shared telemetry.
Let AI be the sidekick, not the scapegoat
Once you have an evidence-grade telemetry layer, AI becomes a force multiplier instead of a guesser:
Analysts ask natural-language questions and get candidate timelines or clusters back over complete data.
Security, GRC, and IT leaders see draft summaries and telemetry gaps before regulators do.
The order is simple: you establish a control plane that gives visibility and control first. Then you introduce AI in scoped, well‑governed ways. Ultimately, if you would not trust a dataset in an audit, you should not trust it to train or drive AI.
A pragmatic way to get started
If you are accountable for DORA outcomes in your organization, the path forward does not have to be overwhelming. Start small, prove value, then expand.
You begin by baselining your telemetry posture: understanding which services, controls, and DORA obligations you care about and where the data for those actually lives today.
From there you pick a small set of flagship use cases where better telemetry would clearly improve outcomes. For example, you might rehearse major ICT-related incident reporting, investigate a service outage from a third-party, support a resilience test, or review the evidence trail for audit and assurance.
Use these better insights to prevent system outages in the first place, and improve resilience should an incident really happen.
Make sure you operationalise those flows across security, IT, risk, and resilience so they become the default way people investigate and report.
You do not need to rebuild your entire stack to move from “fire drills” to an evidence‑driven posture. You do need an intentional plan for telemetry. Cribl Edge and Cribl Stream can act as your collection and routing layer, with Cribl Lake and Cribl Search as the evidence and investigation layer.
If you want a deeper, more architectural walkthrough, including example mappings to DORA areas and concrete implementation scenarios, our DORA telemetry guide is where to go next. It is written for exactly the audience you are part of: leaders who know they cannot buy DORA off the shelf, but who are determined to build an evidence story they can be proud to tell.
