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Managed Infrastructure Services

Put Production Operations Under One Accountable Team.

Mayan.Host monitors, maintains, secures, and operates your infrastructure across private cloud, AWS, GCP, and hybrid environments. We take ownership of alerting, incidents, patching, backups, capacity, and operational change so your engineers can stay focused on product while production remains visible, controlled, and supportable.

24/7 Infrastructure monitoring and alert visibility for covered production systems
1 team One accountable operations partner across infrastructure boundaries
3 clouds Private cloud, AWS, and GCP supported under one operating model
SRE Reliability, incident, capacity, and change practices built into operations

Best Fit

When Managed Infrastructure Is the Right Operating Model

Managed infrastructure works best when production reliability matters, internal operations capacity is limited, and accountability needs to extend beyond tools and dashboards.

Product engineers are carrying the operations load

Infrastructure work becomes expensive when the people hired to build product spend their time handling alerts, patching systems, and recovering failed deployments.

  • Senior engineers rotate through infrastructure work without clear ownership.
  • Routine maintenance is delayed because feature delivery always wins.
  • Production knowledge sits with a few people who cannot step away.

Monitoring exists, but response is still improvised

Dashboards and alerts do not create reliability by themselves. Someone still needs to understand the signal, follow a runbook, coordinate recovery, and prevent recurrence.

  • Alerts reach multiple channels without a defined responder.
  • Escalation depends on who happens to be online.
  • Post-incident actions are documented but not consistently completed.

Your infrastructure spans providers and ownership boundaries

Hybrid and multi-cloud environments create gaps when every vendor owns only one layer and your internal team must connect the incident across all of them.

  • Private cloud, AWS, GCP, and SaaS dependencies are monitored separately.
  • Backups, patching, access, and change processes vary by environment.
  • No single team is accountable for the full production path.

Scope

What We Operate

The operating scope is defined around your workloads, reliability targets, security requirements, support hours, escalation paths, and the infrastructure your team already runs.

Monitoring and observability

We build operational visibility around service health, infrastructure capacity, user impact, and actionable alerting.

  • Metrics, logs, traces, uptime checks, dashboards, and service dependency views
  • Alert thresholds, routing, deduplication, severity, and ownership
  • Operational reporting tied to SLOs, incidents, and recurring risks

Incident response and escalation

We define how incidents are detected, triaged, communicated, mitigated, and handed back into engineering work.

  • Runbooks, responder roles, escalation paths, and communication templates
  • Triage across application, Kubernetes, database, network, and provider layers
  • Root-cause analysis and tracked corrective actions after significant incidents

Patching and lifecycle maintenance

Routine maintenance is planned and executed before unsupported software and known vulnerabilities become production emergencies.

  • Operating system, container host, Kubernetes, middleware, and agent patching
  • Maintenance windows, compatibility checks, rollback plans, and change records
  • Version lifecycle tracking for critical infrastructure components

Backup and disaster recovery

Backups are useful only when retention, access, restore procedures, and recovery objectives are understood and tested.

  • Backup policy, encryption, retention, replication, and failure monitoring
  • Restore testing for databases, volumes, configuration, and Kubernetes resources
  • RPO, RTO, failover dependencies, and disaster-recovery runbooks

Security and access operations

Operational security is maintained through controlled access, auditable change, vulnerability response, and configuration guardrails.

  • IAM, privileged access, secrets, certificates, firewall, and exposure review
  • Vulnerability findings, security alerts, patch priorities, and remediation tracking
  • Audit logging, access review, configuration drift, and incident evidence support

Capacity, performance, and change

We keep infrastructure aligned with workload growth while reducing avoidable performance and deployment risk.

  • Compute, storage, database, network, and Kubernetes capacity planning
  • Release support, infrastructure as code, CI/CD, and controlled rollout practices
  • Performance baselines, bottleneck analysis, scaling policy, and cost visibility

Operating Model

A Practical SRE Workflow for Production Operations

The goal is not to create another support queue. It is to establish clear ownership, measurable reliability, controlled change, and an operating rhythm your engineering team can trust.

01

Assess the production estate

We map workloads, dependencies, environments, owners, support expectations, and the operational risks already visible to your team.

  • Review architecture, access, monitoring, backups, incidents, and change workflows.
  • Identify critical services, fragile dependencies, and undocumented ownership.
  • Agree on priorities, exclusions, escalation contacts, and operating constraints.
02

Build the operating baseline

We close the highest-risk gaps before taking ongoing responsibility for day-to-day operations.

  • Standardize monitoring, alert routing, dashboards, and runbooks.
  • Validate backups, patch status, access controls, and recovery procedures.
  • Document service ownership, severity levels, and escalation paths.
03

Transition into managed operations

Responsibility moves through a controlled handover so your team knows what Mayan.Host owns and how collaboration works.

  • Establish support channels, change process, maintenance windows, and reporting.
  • Run readiness exercises and resolve handover gaps.
  • Begin monitoring, maintenance, incident response, and operational support.
04

Improve reliability continuously

Recurring operations produce evidence that feeds capacity, automation, security, and reliability improvements.

  • Review incidents, alerts, patch posture, backup results, and capacity trends.
  • Prioritize automation and corrective work by production risk.
  • Keep engineering and leadership aligned through regular service reviews.

Coverage

What You Get

  • Production infrastructure assessment and prioritized transition backlog
  • Monitoring, dashboards, alert routing, severity definitions, and escalation paths
  • Service inventory, ownership map, operational documentation, and runbooks
  • Patch, vulnerability, certificate, access, and infrastructure lifecycle management
  • Backup monitoring, restore testing, recovery objectives, and disaster-recovery procedures
  • Incident triage, communication, root-cause analysis, and corrective-action tracking
  • Capacity, performance, change, deployment, and infrastructure automation support

Outcomes

What Changes

  • Less operational interruption for product and application engineers
  • Faster, more consistent response because ownership and escalation are explicit
  • Fewer avoidable incidents caused by overdue maintenance and configuration drift
  • Backups and recovery procedures that are monitored, documented, and tested
  • One operating model across private cloud, AWS, GCP, Kubernetes, and hybrid systems
  • Clearer reliability reporting for engineering leaders, founders, and stakeholders

Keep Your Current Cloud. Fix the Operating Model Around It.

Managed infrastructure does not require an immediate migration. We can operate your existing AWS, GCP, Kubernetes, private-cloud, or hybrid estate, then recommend architecture or placement changes only where reliability, security, cost, or operational simplicity clearly improves.

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Start the Review

Share your infrastructure and operations context.

Use the form to request a managed infrastructure review. A Mayan.Host engineer will assess your environments, operational pain points, support expectations, and the level of responsibility you want to transfer.

  • Tell us which environments and production workloads need coverage.
  • Mention current pain points around alerts, incidents, patching, backups, access, or releases.
  • Include uptime targets, support hours, compliance constraints, and existing tools where relevant.

Request Managed Infrastructure Review

FAQ

Managed Infrastructure FAQ

What infrastructure can Mayan.Host manage?

We manage private cloud, AWS, GCP, Kubernetes, Linux infrastructure, databases, networking, observability, backups, and hybrid environments. The exact scope is defined during the assessment so ownership, exclusions, and dependencies are explicit.

Does managed infrastructure include 24/7 support?

Monitoring and alert visibility can run 24/7. Response coverage, escalation expectations, service levels, and support channels are defined in the engagement and SLA based on workload criticality and the operating plan you select.

Do you replace our internal DevOps or platform team?

Not necessarily. We can own day-to-day operations for teams without dedicated infrastructure staff, or work alongside an existing DevOps, platform, security, or application team with clear responsibility boundaries and escalation paths.

Can you take over an environment you did not build?

Yes. We begin with an assessment and transition phase to understand architecture, access, monitoring, backups, incidents, documentation, and known risks. We close critical gaps before moving the agreed systems into ongoing managed operations.

How do you handle incidents and root-cause analysis?

We triage incidents against documented severity and escalation paths, coordinate recovery across the relevant infrastructure layers, communicate status, and complete root-cause analysis for significant incidents. Corrective actions are tracked into the operating backlog.

Can managed operations include cloud cost control?

Yes. Capacity, utilization, architecture, storage, transfer, commitments, and idle resources can be reviewed as part of the operating cadence. Deeper provider-specific work can be handled through our AWS or GCP cloud optimization services.