Managing Spending in Cloud Environments
Public cloud models bill customers for actual resource usage rather than fixed capacity reservations. While this usage-based pricing model provides flexibility, it can be difficult for organizations to track spending across different accounts and services. Left unchecked, cloud costs may spiral out of control.
Continuously monitor resource utilization of running instances using metrics and identify those consistently underutilized. Adjust configurations such as storage volumes, memory allocation or number of CPUs to more closely match observed usage patterns and workload requirements to avoid overspending on excess capacity.
02
Reserved Instances
For applications or services with steady state or predictable workloads, commit to 1-3 year Reserved Instance contracts to set a consistent monthly fee lower than on-demand rates in exchange for a usage commitment.
03
Auto Scaling
Implement scaling policies tuned to patterns of traffic rather than keeping static instance group sizes. Automatically scale out during peaks and scale in when loads decrease to deploy only resources needed at a specific time.
04
Data Management
Archive data that is infrequently accessed yet still needs to be online to lower cost object storage tiers. Also set policies to migrate or delete data exceeding age thresholds if it no longer serves a business purpose to help reduce data storage costs over time.
Cloud Architecture
Designing Scalable and Robust Cloud Solutions
As more workloads transition to the cloud, a well-architected infrastructure becomes essential to fully unlocking the benefits of elasticity, availability and agility. Cloud architecture refers to frameworks and best practices for deploying distributed systems across on-premises datacenters and public clouds in a standardized, scalable and secure manner.
Building Software the Cloud-Native Way
As organizations embrace cloud-first strategies, developing applications native to public clouds delivers clear advantages over merely migrating existing software. Cloud-native apps are purpose-built for modern infrastructure like compute services, storage and databases. They leverage elasticity, high availability zones, auto-scaling and other cloud services by design.
Embracing Cloud-Native Development and Operations
As application portfolios grow in size and complexity, maintaining costly on-premises infrastructure can strain IT budgets and slow innovation. Meanwhile, public cloud platforms now deliver virtually unlimited scalability and high availability at lower costs. Migration provides a path for organizations to streamline operations and empower developments.
Breaking Down Silos for Faster Delivery
Traditional development and operations teams tended to work sequentially, with long handoffs between code completion and deployment. This resulted in slow, error-prone releases. DevOps aims to align development processes end-to-end from code to monitoring. It unites previously siloed teams through automation and shared tooling.
Our recommender solutions apply machine learning to analyze user behavior and item attributes, delivering individualized suggestions that drive engagement and satisfaction.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laborisLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris
Go to Use Case Title
What Are the Advantages You Should Expect?
Cost Savings
Rightsizing idle resources and minimizing unused capacity helps eliminate wastage and unnecessary spending on public cloud bills.
Visibility
Consolidated billing reports annotated with cost allocation data provide transparency to track spending trends across accounts and workloads against budgets.
Planning
Cloud cost modeling and forecasting tools help estimate expenses for migrations or new deployments to set accurate budgets.
Efficiency
Matching deployment precisely to demand avoids over-provisioning to maximize the value of cloud investments and optimize operational expenditures.