Loading…
Cloud environments built quickly rarely stay optimized. The original architecture made sense for the team size and workload at the time. Eighteen months later, you have instances provisioned for peak loads that never arrived, service accounts with permissions no one remembers granting, monitoring alerts no one reads, and a cloud bill that has grown faster than the business.
Read-only access to Cloud Asset Inventory, billing export, and Cloud Monitoring data. We build a complete picture of the environment without making any changes — what exists, what it costs, and how it behaves.
Cost, performance, and security analysis conducted in parallel. Each finding is rated by impact and remediation effort so the remediation backlog is prioritized before we begin any work.
We present the findings, walk through the prioritized backlog with your team, agree on what we implement and what you handle internally, and define the acceptance criteria for each remediation.
Bring us the constraint. We'll bring the team.
This is cloud drift — the gradual divergence between what the cloud environment should look like and what it actually looks like. It is normal, it is predictable, and it is fixable.
We conduct cloud optimization engagements as structured audits with a clear remediation plan — not open-ended consulting with vague recommendations.
We analyze actual resource utilization against provisioned capacity. Right-sizing recommendations for Compute Engine instances, GKE node pools, Cloud SQL instances, and Cloud Memorystore. We identify idle and orphaned resources — unused persistent disks, unattached IP addresses, unused Cloud Storage buckets — and calculate their monthly cost. We model Committed Use Discount and Sustained Use Discount eligibility and estimate savings against on-demand spend. Output: a prioritized savings roadmap with estimated monthly impact for each action.
We profile performance bottlenecks across compute, network, and storage layers. For database workloads, we analyze query performance, index utilization, and Cloud SQL or Spanner configurations. For compute workloads, we review instance types, autoscaling policies, and regional placement relative to where traffic originates. We identify services that are CPU-constrained, memory-constrained, or I/O-constrained — and recommend the specific configuration changes that address each constraint.
We review the environment against GCP security best practices and relevant compliance frameworks. IAM review: over-privileged service accounts, inactive identities, missing least-privilege enforcement, and direct user bindings that should be managed through groups. Network review: firewall rules with overly broad source ranges, public-facing services that shouldn't be public, missing VPC Service Controls. Logging review: audit log coverage gaps, log retention policies, and missing alerting on high-severity events. Output: a prioritized finding list with severity ratings and specific remediation steps for each finding.
An optimization audit report covering all three dimensions, a prioritized remediation backlog with effort estimates and expected impact per item, an implementation plan for remediations we execute on your behalf, and a post-remediation validation confirming that changes achieved the expected outcome.
We implement the agreed remediations — right-sizing changes, IAM cleanup, firewall rule corrections, log policy updates — with change documentation for each action taken.
Post-remediation validation against the audit findings. Confirmed cost savings, security finding closure evidence, and a clean-state environment baseline your team can track going forward.