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IT & DEVOPS
Automate system monitoring in IT and DevOps
We watch your systems continuously and alert before an outage, so your team acts first and your users notice nothing.
Automate system monitoring in IT and DevOps
Automating system monitoring in IT and DevOps is deployed over your current systems and flows, with human supervision and traceability. Before automating we define which task, which exceptions and what outcome is acceptable.
We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent is designed for your real process, not the other way round: integrations, permissions and milestone control.
We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.
We watch your systems continuously and alert before an outage, so your team acts first and your users notice nothing.
THE CHALLENGE
system monitoring in IT and DevOps
Leaving system monitoring in IT and DevOps to a person is slow and leaves room for error; automating it without governance is a risk. The sweet spot is an agent with rules, exceptions and control.
Alerts without priority or context
The team receives hundreds of alerts a day without telling critical from noisy. Real incidents hide among false positives.
Late detection of outages
Failures are discovered when a user reports them or after the service is already affected. There is no proactive system monitoring.
On-call with no useful information
The person on call gets an alert without knowing which system failed or how to start. Diagnosis is improvised mid-incident.
APPROACH
system monitoring in IT and DevOps
An agent with rules, exceptions and milestone control.
Continuous metric collection
Metrics and logs are captured permanently from servers, applications and network. The system detects deviations from each service baseline.
Alerts with rules and thresholds
Rules define which conditions trigger an alert and its severity level. Ambiguous signals are flagged for human confirmation.
Incident enrichment
Each alert comes with the affected service, the anomalous metric and suggested actions. The on-call operator decides to escalate or resolve.
Traceable closure and learning
Each incident is resolved with its root cause and thresholds are tuned to avoid repeating false positives. History feeds continuous improvement.
DELIVERABLES
system monitoring in IT and DevOps
An operational, traceable agent under your control.
Continuous system monitoring
Permanent monitoring of metrics and logs with detection of deviations from the baseline.
Alert rules by severity
Configured criteria that prioritise critical alerts and filter out noise.
Enriched incidents
Each alert arrives with service, metric and suggested actions for fast diagnosis.
Root-cause history
Record of resolved incidents and tuned thresholds to reduce false positives.
TRUST
AI applied to real processes with supervision
AI agents with human supervision, traceability and milestone control since 2008, in Barcelona and Madrid and remote. Code and documentation under your control, without lock-in.
- A clear task and success criteria before automating.
- Human supervision with milestone and exception control.
- A measurable first release before expanding scope.
- Code, configurations and documentation under your control.
FAQ
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