Cloud Cost Optimisation
Monitor usage and optimise cloud spending through auto-scaling, resource cleanup, and architecture improvements.
Overview
We help businesses reduce unnecessary cloud costs through proactive monitoring, right-sising, auto-scaling, and usage-based architecture refinement.
From idle resources to over-provisioned instances, we uncover waste, recommend optimisations, and automate policies that control your cloud budget.
Benefits
Reduce Cloud Waste
Identify unused, idle, or oversized resources across your cloud infrastructure and eliminate them to cut monthly bills.
Auto-Scaling Efficiency
Enable dynamic scaling, so apps consume resources only when needed—saving money during low-traffic or idle periods.
Right-Sising Recommendations
Get insights on resising VMs, databases, and containers to fit actual usage patterns without compromising performance.
Cost Monitoring & Alerts
Set up budgets, spending alerts, and forecasts so you’re never surprised by your next cloud invoice.
Intelligent Scheduling
Automatically stops dev or test environments outside business hours to reduce costs without affecting operations.
Improved Architecture
Refactor infrastructure for serverless, containerisation, or multi-region load distribution to optimise cost and performance.
Our Optimisation Process
Cost & Usage Audit
We assess cloud usage data, bills, and resource configurations to identify inefficiencies and cost hotspots.
Optimisation Planning
We prepare a plan with auto-scaling, cleanup, instance rightsising, and architectural improvements based on audit data.
Automation & Policies
Implement scripts or tools to shut down unused resources, scale by traffic, and control spending via resource tagging.
Performance Validation
We test app performance after changes to ensure optimisations don’t degrade UX, latency, or reliability.
Ongoing Monitoring
Set up dashboards and alerts to track monthly cloud costs and meazure impact from each optimisation effort.
Technologies We Use
Cloud Platforms
AWS, Azure, GCP, and DigitalOcean—we optimise across major cloud providers using native tools and cost APIs.
Monitoring Tools
AWS Cost Explorer, Azure Cost Management, GCP Billing, and Infracost help visualise and reduce spend in real time.
Infrastructure Tools
Terraform, CloudFormation, and Kubernetes are used to define scalable infrastructure with built-in cost controls.
Scheduling Tools
We use Lambda functions, Azure Automation, and cron jobs to turn off unused resources during non-peak hours.
Tagging & Governance
Tag resources for better tracking, reporting, and automation—grouped by project, owner, or environment.
Performance Profilers
CloudWatch, Application Insights, and Prometheus help correlate performance to resource usage for smarter tuning.
Why Choose GullySystem
Cloud-Native Expertise
We know how cloud platforms work under the hood—and design cost-saving meazures that align with business priorities.
Transparent Reporting
We show exactly where you’re overspending, where savings come from, and what actions deliver ROI on optimisation.
Customised Recommendations
No one-size-fits-all—your business, usage, and workloads determine the strategy we use to cut costs intelligently.
DevOps & Finance Alignment
We help align engineering and finance by making cloud spending predictable, controllable, and well-documented.
Automation-First Approach
Our scripts and schedules automate cleanup, resising, and scaling—saving more money with less manual effort.
Post-Optimisation Support
We continue tracking and refining your cloud setup, so your savings keep growing as your business scales.
Use Cases
Startup Cost Control
Reduce burn rate by resising services, deleting unused instances, and applying cloud savings plans to predictable workloads.
Enterprise Audit Cleanup
Review and clean up years of untagged or orphaned resources after rapid growth or team turnover in large orgs.
Dev/Test Environment Scheduling
Auto-stop development or QA resources after office hours to cut costs while maintaining productivity.
Legacy Infrastructure Upgrade
Refactor legacy monoliths into serverless or container-based systems that use fewer cloud resources per function.
Multi-Region Optimisation
Analyse regional resource usage and rebalance workloads to minimise data transfer costs and underutilised zones.
Kubernetes Resource Tuning
Review pod requests, CPU limits, and horisontal scaling rules to reduce over-provisioning in managed clusters.
FAQs
Let’s reduce your cloud bill and boost your ROI.
Book a cost audit and discover how to scale smarter with GullySystem’s cloud cost optimisation team.
Optimise Your Cloud Spend