Cloud Reliability Assessment & Resilience Consulting

No defined recovery targets

The team has not agreed how long recovery may take or how much data it can lose. During an outage, engineers must debate these limits before choosing a recovery procedure.

Known single points of failure

Everyone on the team can name the components that would take down the system. Nobody has prioritized fixing them. The risk sits in a backlog, aging quietly until it becomes an incident.

Runbooks that do not exist or do not work

Documentation is outdated or missing. On-call rotations lean on the same two engineers for everything. Incident response is reactive and chaotic rather than practiced and calm.

Deployments that feel risky

Shipping new code is a source of anxiety, not confidence. Teams deploy less often because the last time was painful. The deployment pipeline itself is a reliability risk.

Failure mode analysis

A systematic review of what can go wrong, how likely each failure is, and what the blast radius looks like. We define your actual availability targets based on business impact, not aspirational SLAs written into a contract nobody references.

Design reliability mechanisms

Circuit breakers, graceful degradation, health checks that reflect real system health, and multi-region failover where the impact justifies it. Each mechanism maps to a documented failure mode and test condition.

Runbooks and chaos exercises

We write concise runbooks for high-pressure incidents, then rehearse agreed recovery paths through controlled exercises. Each exercise records the observed behavior, gaps, owners, and follow-up actions.

Failure mode map with blast radius analysis

Every known failure mode documented with probability, impact, and blast radius. The risks your team has been carrying in their heads, written down and prioritized.

Availability targets tied to business impact

Define how quickly each service must recover, its recovery time objective (RTO). Agree how much data loss is acceptable, its recovery point objective (RPO). Set these targets from business impact so the team can design for them and measure recovery against them.

Operational runbooks

Step-by-step recovery procedures for high-pressure incidents. Where controlled exercises are in scope, the team rehearses the agreed response and records gaps. Untested procedures remain clearly identified.

Reliability architecture recommendations

Specific recommendations for circuit breakers, health checks, failover design, and deployment safety. Sequenced by risk reduction and implementation effort.

Business-tied

Document availability and recovery objectives from user impact and dependency behavior.

Recovery evidence

Record observed behavior from agreed recovery exercises, including gaps and untested paths.

Owned

Assign accountable owners to failure modes, alerts, runbooks, escalation, and follow-up actions.

Recovery tradeoffs

Compare recovery options for each service. Check recovery time, acceptable data loss, dependency limits, operating effort, and cost.

Scaling Strategy & Bottleneck Analysis

Find the specific constraints that show up at scale. Profiled under real traffic, sequenced by impact.

Cloud Architecture & System Design

Design the architecture before you build it. Tradeoffs mapped, risks surfaced, decisions documented.

Security & Compliance

Map framework requirements to implemented controls, evidence sources, owners, exceptions, and review cadence.

Production reliability and incident readiness

Review service objectives, dependency timeouts, alert ownership, release controls, and the recent incident record. Test degraded operation and failure isolation with bounded exercises. Findings should describe the observed behavior, the affected customer journey, the responsible team, and the check that demonstrates an improvement.

Disaster recovery and high availability

High availability keeps service running through the failures the system was designed to handle. Disaster recovery restores it after a larger disruption. Check backup integrity, restore duration, data reconciliation, access during an outage, and runbook ownership against agreed recovery objectives. A backup existing is not evidence that a restore will succeed.

Inspect a bounded AWS restore exercise

For an EFS workload, examine the permissions, encryption-key access, destination and validation checks needed for a cross-account restore rehearsal. This educational reference is not a customer recovery result or proof that a whole application can recover. Use it to identify the evidence your own exercise must produce.

Quantify the response burden you can observe

Use incident frequency, response duration and participating engineers to estimate response labor. Add hourly revenue exposure only when you can supply a defensible input. The scenario excludes unmeasured losses and does not predict the return from a reliability change.

Amazon ECS Delivery

Container applications moving into production

Relevant when your application needs an ECS deployment model, including workloads on AWS Fargate. The work connects task sizing, service scaling, deployment health, identity and network boundaries to your application's operating needs.

Agree deployment checks, rollback behavior, observability and ownership before cutover.

AWS's announcement lists Ampity for Containers and Serverless Computing.

Amazon RDS Delivery

Database migrations with a recovery plan

Relevant when a relational database needs migration or modernization on Amazon RDS. Assess engine compatibility, data integrity, connection behavior, backup and recovery, availability requirements and query performance before changing the production path.

Define data reconciliation, restore checks and workload-specific acceptance criteria.

AWS's announcement names Amazon Aurora PostgreSQL and Amazon RDS for MySQL. This recognition does not cover every RDS engine.

What is a cloud reliability assessment?

It reviews how well your production architecture withstands failure: redundancy, scaling, dependencies, backups, disaster recovery, monitoring and incident response. It identifies the weak points most likely to cause downtime.

What is included in a production architecture review?

We map critical user journeys to the services, data stores and third-party dependencies behind them, then test each for single points of failure, capacity limits, recovery time and observability gaps.

How do you assess disaster recovery readiness?

We compare your actual backup, replication and failover setup with the recovery time and recovery point objectives the business needs, and check whether recovery has been tested rather than just documented.

Can you review an existing incident response process?

Yes. We review alerting, on-call ownership, runbooks, escalation and post-incident learning, and recommend practical changes that shorten detection and recovery times.

How long does a cloud reliability review take?

Duration depends on the number of systems in scope. A focused review of one critical platform is typically measured in weeks, and the scope and timeline are agreed before work begins.