Soluciones de Nube y Resiliencia

We start from business impact, not guesswork. We map critical workflows, dependencies, and acceptable downtime/data loss, then set realistic RTO/RPO targets per workload—often tiered (mission-critical vs important vs non-critical).

Yes. We design hybrid and multi-cloud resilience with unified identity, networking, and observability, while keeping clear boundaries for where workloads run and how failover or recovery works across environments.

We recommend a schedule that matches risk: automated checks frequently (backups, restore validation where possible) and full simulations periodically (tabletop + technical failover drills). The key is proving recovery under real constraints, not just having a document.

Through governance-by-default: tagging/accountability, policy-driven provisioning, visibility dashboards, and regular optimization cycles. We focus on eliminating idle spend, avoiding overprovisioning, and preventing untracked cost drift.

Yes—identity governance, segmentation, encryption, secure configuration baselines, and monitoring are designed-in from day one so resilience doesn’t create new attack surface.

Backups protect data. Disaster recovery ensures the system can be restored within defined RTO/RPO—including infrastructure, application dependencies, identity, DNS, and verified runbooks. Many orgs have backups but don’t actually have DR.

Either—based on cost, complexity, and downtime tolerance. We help you choose the right pattern per workload: active-active for ultra-critical continuity, active-passive for controlled cost, and hybrid patterns where only the most critical services are hot.

We design resilience across layers: multi-zone redundancy, fault-isolated networking, resilient data services, service-level timeouts/retries, and clear dependency mapping—so one component failure doesn’t cascade into platform failure.

It means you can prove: backups are valid, recovery steps are executable, dependencies are known, access and secrets work during recovery, and people know their role. Readiness is measured through repeatable tests + operational rituals, not confidence.

We implement backup and replication strategies aligned to retention needs, including immutable storage options where required. Retention and deletion are treated as enforceable controls—not manual policy statements.

Both are supported. For high-risk failovers, we design approval gates; for predefined safe scenarios, we can automate triggers. The decision depends on blast radius, business criticality, and risk tolerance.

We establish a known-good baseline and detect deviations through configuration monitoring and policy enforcement. Drift detection is paired with workflows: alert → triage → approve remediation → log outcome.

Continuity is operational: escalation paths, communication runbooks, severity definitions, and rehearsal exercises. We tie monitoring signals to response workflows so teams aren’t inventing processes mid-crisis.

We review your current architecture, recovery posture, and operational gaps—then deliver a practical next-step roadmap: what to fix first, what to test, and what to automate, tied to your risk priorities.

We migrate in waves with clear rollback plans, environment parity (dev/test/prod), and monitoring in place before cutovers. The goal is controlled transitions—not “big bang” moves that introduce downtime surprises.

We establish ongoing signals: policy compliance, cost accountability, drift incidents, backup validation results, and recovery test outcomes—reviewed in a consistent cadence so resilience stays true as the environment changes.