Operate Cloud Platforms with SRE Discipline and Automation
L1/L2 operations, observability and DR validation for OpenShift, OpenStack and Kubernetes. Run to SLOs with evidence behind every claim.
Managed Operations Control Loop
Inputs
- Alerts
- Logs
- Metrics
- Incidents
- Changes
- Platform events
- User requests
Azalio Managed Cloud Operations
Outputs
- Resolved incidents
- RCA / problem records
- Runbook improvements
- Patch / upgrade plan
- SLO dashboard
- Evidence pack
Day-2 Operations We Support
Full-coverage Day-2 operational support across incident, observability, patching, DR, runbooks and reporting — for platforms that need to stay stable and improving.
Incident Management
L1/L2 detection, triage, escalation, resolution, SLA tracking and post-incident review.
Problem Management
Root-cause analysis, problem records, workarounds and permanent fix tracking.
Change Support
Change assessment, scheduling, MoP execution, rollback and change record closure.
Monitoring and Alerting
Alert rule management, dashboard maintenance, threshold tuning and on-call support.
Patch and Upgrade Support
Planned patching, platform upgrades, operator updates, pre/post validation and evidence.
Backup and DR Validation
Backup schedule management, DR drills, failover testing and recovery evidence.
Runbook and MoP Execution
Structured runbook execution, MoP documentation, evidence capture and sign-off.
Platform Health Reporting
Weekly/monthly health reports, SLO dashboards, capacity indicators and trend analysis.
SRE Operating Model
A five-layer SRE model that provides structure from observability through to continual improvement — built for cloud platform operations in production environments.
Monitoring and Observability
Prometheus, Grafana, ELK / Splunk, Loki — metrics, logs, traces, dashboards and alert rules across all platform components.
Incident Response and Triage
On-call model, alert-to-ticket flow, L1/L2 triage, escalation paths and incident SLA tracking.
Runbooks and Automation
Documented runbooks, MoPs, Ansible / AAP playbooks, GitOps-driven remediation and self-healing patterns.
SLO / SLA Governance
Service level objective definition, SLA reporting, breach alerting, trend tracking and executive dashboard.
Continual Improvement
Post-incident reviews, MTTR analysis, automation opportunities, upgrade planning and platform optimization cycles.
Observability and Toolchain
Azalio's managed operations practice uses the full observability stack alongside platform, automation and ITSM tooling.
Metrics
- Prometheus
- Grafana
- Alertmanager
Logs
- ELK
- EFK
- Splunk
- Loki-ready patterns
Platform
- OpenShift
- OpenStack
- Kubernetes
- Rancher
- VMware
Automation
- Ansible
- AAP
- GitOps
- Scripts
- Runbooks
ITSM
- Incident
- Problem
- Change
- Reporting
- Escalation
Operational Handover and Evidence
Whether taking over a platform or handing one back, Azalio follows a structured handover checklist — ensuring nothing is missed and everything is documented.
Each handover item is documented and signed off as part of the managed operations acceptance pack.
Managed Ops Engagement Options
Azalio's managed operations model adapts to where teams are — from hypercare immediately post-build to ongoing SRE maturity improvement.
Post-Build Hypercare
Intensive operations support immediately after platform go-live — covering incidents, monitoring gaps, runbook gaps and early stability issues.
L1/L2 Managed Operations
Ongoing L1/L2 platform operations covering incident, problem and change — with SLA/SLO governance and regular reporting.
SRE and Observability Maturity
Improve SRE practices, observability coverage, alerting quality, MTTR performance and automation maturity on existing platforms.
Upgrade / Patch / DR Support
Structured patch execution, version upgrades, operator updates, DR drills and evidence-backed validation reports.