Cloud cost optimization for engineers
Cloud cost optimization tools your engineers will actually use.
Empower engineers to control their own budgets
Engineering teams get understandably frustrated when finance and budget owners come to them with lengthy spreadsheets and complex budget reports, asking for reductions to cloud resource usage that seem difficult or impossible to reach.
Instead of having unproductive, rearview-mirror conversations that end in countless follow-ups and delays, Yotascale’s cloud cost optimization tools empower engineers to take active ownership of their cloud costs and collaborate more effectively with finance teams and budget owners.
What makes Yotascale different?
Automated tagging, modern architecture support, and actionable recommendations that engineers love.
Challenge
Accurate cost attribution is the foundation of your ability to understand your cloud costs by team, determine accurate COGS and margins, and plan your budget and forecasts. But manual cost attribution (by tagging) can’t be scaled, and doesn’t account for shared resource usage across teams and applications.
Solution
Yotascale is the only solution that automates cost attribution with automated tagging workflows, giving your engineering teams the tools they need to identify untagged resources, normalize tag naming conventions, and create business hierarchy rules that allocate costs in your business context.
Challenge
Kubernetes and containers give great flexibility and on-demand scalability, but they make cloud cost optimization even harder because most cloud cost optimization tools don’t understand how to allocate the cost of these shared resources. This leads to cost micro-wastage as reserved container capacity is underutilized by teams and applications.
Solution
Yotascale was built for modern architectures at scale, and is the only solution that gives a complete view of multi-cloud infrastructure spend, including containers and Kubernetes costs. Yotascale gives you the deep business context of all your costs, and combines your tags and container labels to give a complete picture of cloud resource utilization.
Challenge
Most tools only look at a single aspect of compute utilization, but ignore the full system metrics of compute, memory, IO, network and storage, which causes the tools to make bad recommendations such as shutting down a failover cluster due to low no CPU utilization. Without a way to provide feedback to the tool, engineers are inundated with useless recommendations over and over again.Solution
Yotascale’s recommendations look at the complete system picture, and provide detailed information to your engineers of the potential cloud cost optimization savings they could achieve. More importantly, it gives engineers the ability to provide feedback, in the tool, of why they may not be acting on a recommendation and dismiss it temporarily or permanently . Yotascale learns from this feedback to provide the most actionable set of recommendations for your engineers to use.Deep system & business context
Scales with cloud complexity
Engineering
centric
- Deep business & system context
- Scales with cloud complexity
- Unified view of multi-cloud spend
- Engineering centric
First-Gen Cost Mgmt
Legacy cost management products
- Static custom reporting
- Minimal system and business context
- Frustrates engineering teams
Point Solutions
Limited functionality and narrow scope
- Lack of enterprise & business context
- Limited support for native + non-native
- More engineering centric
Deep system & business context
Scales with cloud complexity
Engineering centric
- Deep business & system context
- Scales with cloud complexity
- Engineering centric
First-Gen Cost Mgmt
Legacy cost management products
Deep system & business context
Scales with cloud complexity
Engineering centric
- Static custom reporting
- Minimal system and business context
- Frustrates engineering teams
Cloud Provider Tools
Native cost management tools from AWS, Azure, etc.
Deep system & business context
Scales with cloud complexity
Engineering centric
- Basic reporting and recommendations
- Does not scale beyond certain complexity
- Not engineering centric
Point Solutions
Limited functionality and narrow scope
Deep system & business context
Scales with cloud complexity
Engineering centric
- Lack of enterprise & business context
- Limited support for native + non-native
- More engineering centric
What does empowered engineering look like?
Ownership
Give engineers the information they need to take ownership of cloud costs and make smarter decisions
Efficiency
Spend a lot less time manually tagging cloud resources and chasing cost anomalies
Satisfaction
Let your engineers do their best work to drive greater profitability and sustainability
What can Yotascale do for you?
Your engineers are the backbone of your company’s cloud services, but are they empowered with the tools and information they need to make smarter decisions about their cloud cost / performance?
Clear attribution of cloud costs and resources to the team level
Automated tagging to eliminate “death-by-tagging”
Actionable recommendations by team / application with closed-loop engineering feedback
Real-time cost anomaly detection, with detailed information of where the anomaly is occurring
Your cloud environment is complex, and your centralized team is tasked with managing your resources across multiple engineering teams and applications. But do you have the information you need to know if the resources you’ve assigned to your teams are being well utilized?
Automated tagging rules to identify untagged resources and normalize tagging names for the most accurate cost attribution
Intuitive cost analytics ‘out-of-box’, in your business context
Deep, unified view of all cloud costs, including containers and Kubernetes
Integrated with the tools your team uses (Slack, Jira, etc)
Finance has the responsibility to negotiate the best prices they can for cloud services, but how do you know how much reserved instances or savings plans are the best fit? How can you see out-of-control cloud spending as it happens, rather than when the cloud bill comes due?
M/L driven budgeting and forecasting provides detailed recommendations for reserved instance and savings plan investments
Real-time cost anomaly detection with detailed alerts
Cloud cost attribution in your business context for the most accurate cost and margin analysis
Automated workflows empowers finance and engineering teams to work smarter together
Do you truly know what your profit margins are by cloud product / service? Are you really getting the most value from our cloud? You have questions, and you need a solution that gives you answers you can trust to evaluate your current and future cloud investments.
Unified view of all cloud costs, with simple, easy to understand reports
Detailed, accurate cloud COGS that matches your business context
Company wide budgeting and forecasting improves forecasts up to 90%
Learn more about why you need dynamic cloud cost optimization
White Paper
Webinar
In this webinar, you’ll learn from Okta’s engineering based approach to making data-driven decisions that yield sustained savings.
Case Study
Thanks to the visibility provided by Yotascale, ParkMobile is reducing costs by rightsizing resources and able to make better decisions for the future.