Observability, DataOps & AIOps
From siloed monitoring to full visibility — anticipate incidents, don't just react to them
When visibility and standard procedures are missing, IT management becomes reactive and vulnerable: users are the ones who discover incidents, and no one has a shared view of status, risks, costs, and performance. We go beyond traditional monitoring to give you full visibility. We apply AIOps (AI for IT operations) for predictive analysis of logs and metrics — anticipating incidents — and DataOps to automate data flows.
The service in brief
- Service
- End-to-end visibility across systems with observability, predictive AIOps, and DataOps automation of data flows.
- When you need it
- There is no overall view: incidents are discovered late, and no one has the full picture of status, risks, and costs.
- R.O.C.E. phase
- Control: the third phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
- Role
- The starting point for this area: without visibility, there is no governance.
- Scope
- Metrics, logs and traces, data flows, systems, platforms, and pipelines in production.
- Distinct from
- Data governance (catalog, lineage, masking), AI governance (models), and security (DevSecOps).
When IT is reactive and blind
The service fits when end-to-end visibility is missing and systems management turns reactive: action happens only after something has broken.
Beyond traditional monitoring
End-to-end observability
Metrics, logs, and traces correlated into a complete view of the entire ecosystem, to understand not just what is broken, but why.
AIOps
Predictive analysis of logs and metrics to anticipate incidents, reducing noise and false alarms and surfacing the signals that matter.
DataOps
Automation of data flows to make them repeatable, reliable, and observable, reducing manual work and errors.
From chaos to control
We turn chaos into an observable, secure environment.
Visibility is not an end in itself. It is the precondition for governance: without a shared, reliable view of status, risks, costs, and performance, every policy stays on paper and every decision is made blind.
Success stories
Documented Miriade work on observability and log reliability.
The technologies we use
Some of the technologies and platforms we work with on this service.
The tools of governance
Observability is the starting point: governance, security, and continuous management in this area build on visibility.
Observability, DataOps & AIOps
End-to-end visibility, predictive AIOps, and data flow automation.
You are hereAI Platform Governance & Control
Audits, rules, and control over AI model decisions, bias, and consumption.
ControlDevSecOps & DataSecOps
Shift-left security in pipelines and protection of sensitive data.
ControlData Governance & Data Quality
Data Catalog, Data Lineage, and Data Masking for reliable data.
ControlSRE & Continuous Platform Support
Continuous management of business-critical platforms based on SRE principles.
Frequently asked questions
What is the difference between observability and monitoring?
Monitoring tells you that something is broken. Observability, by correlating metrics, logs, and traces, helps you understand why — and often before it happens.
What does AIOps add?
Predictive analysis of logs and metrics to anticipate incidents, reducing noise and false alarms and highlighting the signals that matter.
And DataOps?
It automates data flows, making them repeatable, reliable, and observable, so manual work and errors decrease.
How is it different from Data Governance & Data Quality?
That service governs the data (catalog, lineage, masking). This one provides operational visibility into systems, pipelines, and flows. The two complement each other.
Is it an assessment or a continuous managed service?
It starts with an assessment of current visibility and leads to continuous management, with observability and automation that remain stable over time.
Is it also relevant for AI in production?
Yes. Visibility into performance, costs, and behavior is part of governing AI in production, alongside AI Platform Governance.
Want a complete view of your systems?
Tell us which systems and pipelines you need to oversee and what you cannot see today. We start with a visibility assessment and build observability, AIOps, and data flow automation.
A complete view of your systems
Tell us which systems and pipelines you need to oversee and what you cannot see today. We start with a visibility assessment and build observability and automation.
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