Post-Launch Cloud Operations: Beyond Go-Live. The toughest cloud challenges surface long after launch, once production is live and implementation teams depart. Critical post-go-live risks and how Sundew proactively engineers solutions to prevent them. Talk to us
Uptime and Health ChecksContinuous checks against every critical service, not just the homepage, so a degraded backend surfaces before it becomes a customer-facing outage.
Log AggregationLogs are centralized across every environment, so diagnosing an incident does not mean SSH-ing into five servers to find the cause while the clock runs.
Threshold and Anomaly AlertingAlerts tuned to real failure signals, not noisy defaults that get muted after week one. The page that fires is a page worth answering.
On-Call RoutingThe right alert reaches the right person, with enough context to act immediately, backed by runbooks and blameless post-incident reviews.
Scheduled Patch ManagementOS and dependency patching on a defined cadence, tracked to closure, not left until the next incident or audit forces it into an emergency window.
Automated Backup SchedulingBackups run automatically on a schedule matched to how critical the data actually is, so recovery point objectives are met by design, not by luck.
Restore TestingBackups verified restorable on a regular basis, not just scheduled and assumed to work. A backup you have never restored is a hope, not a plan.
Scheduled Job and Cron ManagementRecurring jobs monitored for failure, so a silently broken cron does not go unnoticed for weeks until the missing output finally causes a problem.
Auto-Scaling ConfigurationCompute scales with real demand, so traffic spikes are absorbed automatically rather than becoming the outage the operations team learns about from customers.
Capacity ForecastingGrowth trends reviewed regularly, so scaling decisions are planned against where the business is heading, not made last-minute under pressure.
Load TestingInfrastructure tested against realistic peak load before the real peak arrives, so the holiday surge or the launch spike is a rehearsed event, not a live experiment.
AI Workload Capacity PlanningGPU and inference capacity sized against real usage patterns, so AI features scale with demand without paying for idle accelerators between requests.
Resource Tagging and AttributionEvery resource is tagged to a team, project, or environment through policy-enforced tagging, so there is no untracked spend hiding in an unassigned account.
Cost DashboardsSpend visible in real time, broken down by the categories that actually matter to the business, from team and project to workload and, for AI, per-feature inference cost.
Monthly Cost Review CadenceA recurring cost review built into the operating rhythm alongside the reliability review, not a once-a-year fire drill that catches overspend after it is already paid.
Cost Anomaly AlertingUnexpected spend spikes routed to the responsible team the same week they happen, so a runaway workload is caught in days, not discovered on the monthly invoice.
RightsizingOver- and under-provisioned resources identified and corrected on a recurring basis, including GPU and inference instances sized to real utilization rather than to peak-of-peak.
Idle Resource CleanupUnattached disks, unused IPs, forgotten dev environments, and orphaned resources found and removed before they accumulate into a meaningful monthly line item.
Reserved Capacity ManagementReserved Instances and Savings Plans reviewed and renewed against actual usage, so committed capacity is neither left to lapse nor paid for and underused.
AI Cost OptimizationData moved to the right storage tier based on access frequency. For AI, routing, caching, and model selection are tuned to cut inference cost-per-outcome without degrading quality.
Align infrastructure scale with true business unit economics. True FinOps goes beyond basic cost-cutting. It's about maximizing value for every dollar spent in the cloud. We help enterprise leaders refactor expensive cloud architectures, eliminate idle resources, and establish continuous cost visibility across engineering teams. Take control of your multi-cloud footprint. Talk to us