Migrating resources without first mapping dependencies, traffic, data, recovery objectives, and rollback paths.
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A forensic audit of your AWS, Azure, or GCP bill that typically cuts 20–40% of spend — and keeps it cut.
A forensic audit of your AWS, Azure, or GCP bill that typically cuts 20–40% of spend — and keeps it cut.
The goal is not simply to complete a list of tasks. It is to remove a specific operational or customer constraint, prove the result, and leave clear ownership after delivery.

One accountable team connecting the decisions, quality checks, and handoff required for a durable result.
Cloud bills only grow. Idle instances, oversized databases, forgotten environments, and unmanaged data transfer quietly compound until finance asks questions nobody can answer. We find the waste, cut it safely, and install guardrails so it stays cut.
Infrastructure has grown through one-off decisions, leaving unclear ownership, inconsistent environments, and manual recovery.
Deployments depend on individual knowledge, making releases slow, stressful, and difficult to audit.
Cost, reliability, security, and delivery speed are optimized separately even though each change affects the others.
We connect diagnosis, scope, execution, validation, and operational ownership. The package changes the depth and scale—not the discipline of the delivery system.
We confirm the desired outcome, users, current state, dependencies, risks, and evidence of success before prescribing cloud cost optimization.
We translate line-by-line spend analysis and rightsizing and reserved-capacity plan into visible decisions, responsibilities, milestones, and review criteria.
Delivery moves through reviewable increments with quality checks, exception handling, and stakeholder decisions recorded before they become rework.
We complete savings report with before/after numbers, confirm handoff and escalation paths, and leave a practical measurement and improvement plan.
Every tier keeps the core controls below. Package level changes the volume, depth, complexity, or operating cadence.
Line-by-line spend analysis
Rightsizing and reserved-capacity plan
Safe remediation of approved changes
Budget alerts and anomaly detection
Savings report with before/after numbers
The visible deliverable is rarely the whole system. These are the recurring gaps we design out before they become delay, rework, or risk.
Migrating resources without first mapping dependencies, traffic, data, recovery objectives, and rollback paths.
Automating deployment while leaving configuration drift, secrets, observability, and access controls unresolved.
Right-sizing from averages and invoices instead of workload behavior, service levels, and growth scenarios.
Our advantage is not a claim that trade-offs disappear. It is the ability to connect the decisions other providers often split apart, make quality visible, and leave ownership clear.
Architecture, security, deployment, observability, cost, and recovery are treated as one operating system.
Changes are rehearsed with validation and rollback criteria before production cutover.
Runbooks, ownership, alerts, and knowledge transfer make the environment operable after the project.
Scope advantage: The scope makes line-by-line spend analysis explicit, then connects it to rightsizing and reserved-capacity plan; those dependencies are less likely to disappear between separate vendors.
Final targets are set during alignment, using a baseline, a named owner, and a realistic measurement window. Typical measures include:
Deployment frequency and change failure rate
Availability and recovery time
Unit infrastructure cost and utilization
Audit
Audit & Remediate
FinOps Program
Not sure which package fits? Build a guided project brief. We will use your goal, current stage, timing, and investment range to recommend the right package or a strategy session.
Most environments we audit yield 20–40% reductions. If the audit finds less than the audit fee in annual savings, we'll say so plainly — it almost never happens.
Every change is classified by risk and approved by you before execution; rightsizing follows measured utilization, not guesswork.
No — flat fees. Percentage models reward inflating baselines; we'd rather show you the before/after bill.