Cloud Optimization
Cost Optimization for cloud Utilizes data to drive workload and spend efficiencies
Strategic cost management takes many forms, including updates to technology and infrastructure spends. Organizations can take a proactive approach to reducing spend for cloud by implementing a development framework to optimize cloud architecture design and maximize efficiencies across its multi-cloud environments. This approach helps organizations:
• develop a cost-optimal and scalable cloud strategy,
• establish and monitor KPIs across multiple cloud infrastructures to increase visibility and encourage continuous improvement across product groups, and
• drive long-term cost savings and new efficiencies to make their business more competitive.
Your cloud environment might be costing you more than it should.
Here's why.
Prioritized for speed
Environments are set up for fast go-to-market; there's been no investment on cost optimization
Quick design decisions
Architecture guided by haste, not empirical data
"Just in case" consumption model
Solutions designed for high consumption without benchmarking for cost-optimal solutions
Old designs
Historical decisions are not updated based on new cost saving SaaS or cloud offerings
These choices lead to drastically over-provisioned, under-optimized, or improperly-provisioned deployments that impact your bottom line.
Cost Optimization - Take action to start a cost reduction program
Adopt a consumption model
Scale & adjust computing resources that you require on-demand
Increase or decrease usage depending on current utilization & requirements
Measure overall efficiency
Create benchmarks & compare against historical + current outputs
Measure increasing output & reducing costs
Analyze & attribute expenditure
Ensure costs are tagged and allocated to projects & products
Utilize managed & application level services
Remove operational burden of maintaining servers
Track cost savings with cross-cloud analysis.
Improve prioritization helps you save more money.
1. Business area specific workloads can be run in different cloud environments
2. Each cloud environment is assessed to determine inefficient configurations
3. Consolidating each cloud assessment enables visibility of the least efficient & most expensive components
