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Our Approach to Optimizing Your Cloud Environment
Workload Analysis & Assessment
We understand your traffic and workload patterns to use the right pricing model for you. Linear traffic might just need autoscaling, but for spikes other on-demand options like Serverless, AWS Fargate, or Container Instances are available. At times, time-based scaling outperforms auto-scaling.
Performance Monitoring Setup
We implement and review observability metrics like latency, throughput, network and resource utilization are key to identifying bottlenecks before scaling. Implement service level indicators (SLIs) to critical services to track P50, P95, and P99 latency percentiles and ensure peak performance.
Architecture Optimization Phase
Our focus is on designing stateless APIs that enable scaling out rather than up, ensuring efficient traffic handling.
Embracing Eventual Consistency
Not all use cases require immediate consistency. We review the adoption of your message brokers to throttle database load and update data incrementally over time to reduce database strain during peak hours.
Data Archiving
We strategically move less frequently accessed data to cold storage to avoid forced tier upgrades from cloud vendors while maintaining service level objectives.
Cost Management
We reduce inefficiencies, prevent overspending, and avoid over-provisioning, confirming cloud resources align with actual usage for cost savings. Implementing Well Architected Framework best practices, we also review critical paths and code for horizontal scaling. Tools like AWS Cost Optimization Monitor and Azure Cost Alerts help track spending and prevent budget overruns, directly impacting your bottom line.
Enhanced Efficiency
Our optimization strategies improve cloud resource efficiency by right-sizing instances and implementing auto-scaling. This approach helped a client reduce cloud costs by 25%, allowing their teams to focus on growth instead of managing resources. By aligning cloud resources with actual usage, we simplify operations and remove inefficiencies, driving better business outcomes.
Increased Productivity
We reduce the time spent managing cloud infrastructure, enabling businesses to focus on strategic initiatives. After optimizing resources for a client, we reduced management overhead by 30%, speeding up development cycles and improving time-to-market. This optimization helps teams concentrate on value-driven work, strengthening overall productivity.
Greater Visibility
Our cloud optimization services offer detailed insights into resource usage and spending. We used AWS Cost Explorer and Azure Cost Management to identify over-provisioned resources, resulting in a 20% cost reduction. With real-time monitoring and analytics, businesses can make informed decisions, improving budget forecasting and resource allocation.
Proactively Optimize Resource Allocation
We regularly evaluate cloud resource usage, identifying and eliminating inefficiencies to confirm resources are allocated effectively. By aligning resources with your business needs, we drive cost savings and improve overall operational efficiency.
Achieve Comprehensive Visibility
As cloud demands and costs increase, we provide in-depth insights into workload performance and resource utilization. This detailed visibility empowers data-driven decision-making, helping you optimize cloud investments and manage costs.
Prioritize Resiliency
We design resilient cloud architectures to withstand disruptions, from network issues to hardware failures. By reviewing infrastructure and code, we mitigate risk by separating critical paths from non-critical ones, ensuring uninterrupted operations.
As part of our Cloud Optimization service, we conduct a Well Architected Framework Review, assuring your cloud infrastructure is built to scale, maintain security, and optimize costs effectively.