Go beyond basic cost reduction to enable true value realization for your cloud investments.
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As many as 58% of cloud adopters feel they haven’t fully achieved the value they anticipated from the cloud. Of all the benefits, cost savings remain the most elusive. Why? Because cost efficiency and value maximization aren’t easy in the cloud. That’s why major cloud service providers (CSPs) have introduced native tools for cloud cost management and optimization. They help track and control infrastructure spending within their own native environments.
However, cloud maturity comes with heterogeneous cloud environments – organizations end up using services from multiple vendors and adopt hybrid models to meet specific needs. Native solutions exclude the overwhelming majority of businesses (89%) that are not fully cloud-native or exclusively committed to a single cloud provider.
Most cloud cost optimization tools lack true multi-cloud support, intelligent, real-time optimization, and automation capabilities needed to control and optimize costs in real-time, across heterogeneous environments.
Third-party cost optimization tools provide a critical lifeline for managing costs across fragmented environments. Yet, many still lack true multi-cloud support, intelligent, real-time optimization, and automation capabilities needed to control and optimize costs in real-time, across heterogeneous environments. They are also mainly designed for cloud engineers, not DevOps and finance teams, making it difficult to implement cross-functional FinOps strategies that are essential for sustainable cost optimization, governance, and control.
This is where emma comes in, going beyond basic cost reduction to enable true value realization by aligning cloud investments with business objectives. Here’s how:
Many cost management tools rely on exported cloud bills or periodic reports, which means cost data is updated with a lag. This prevents real-time decision-making and cost control. The problem is exacerbated when organizations use more than one cloud platform, as they must utilize and aggregate data from siloed, platform-native tools. Hopping between dashboards and control planes, it becomes impossible to enforce consistent cost management strategies across disparate environments.
The emma platform provides live cost monitoring and real-time alerts through a single pane of glass that spans AWS, Azure, Google Cloud, and on-prem environments… you can work proactively to prevent unexpected cost overruns instead of reacting to budget shocks.
In comparison, the emma platform provides live cost monitoring and real-time alerts through a single pane of glass that spans AWS, Azure, Google Cloud, and on-prem environments. Real-time insights and timely alerts mean you can work proactively to prevent unexpected cost overruns instead of reacting to budget shocks only once they become inevitable.
Going beyond basic cost tracking, emma lets you drill down analytics for granular cost attribution by team, project, application, or business unit. This helps foster a culture of financial transparency and responsibility across the board while enabling precise decision-making and centralized financial control across all projects and cloud environments.
Traditional tools rely on manual budget thresholds and historical spending trends rather than AI-driven predictive analytics. Without accurate cost forecasting, organizations are limited to reactive mitigating strategies. In contrast, the emma platform offers highly accurate, machine learning-driven predictions. You can anticipate your future cloud expenses based on current and historical usage trends.
Another differentiating feature is emma’s Scenario Modelling, which allows teams to test various provisioning strategies before committing to them. You can also set up budget limits by project, application, or business unit. The platform will trigger alerts and even enforce pre-defined remediations well before exceeding those thresholds. These features allow you to completely eliminate cost surprises.
Without automation, cost management solutions are merely reporting tools that need additional manual intervention to enforce cost controls and recommendations. This can be tough for organizations that are multi-cloud and have limited IT resources.
To bolster efficiency, emma provides hands-off, automation capabilities, such as smart workload placement which ensures the most cost-efficient cloud provider and region are used. AI-driven instance rightsizing not only identifies underutilized resources but also suggests optimal configurations.
To bolster efficiency, emma provides hands-off, automation capabilities, such as smart workload placement which ensures the most cost-efficient cloud provider and region are used. AI-driven instance rightsizing not only identifies underutilized resources but also suggests optimal configurations that anyone, even those with limited technical expertise, can directly implement with just a few clicks using emma’s intuitive dashboard.
A recent survey of 2100 organizations found that the average CPU utilization across Kubernetes clusters deployed in cloud environments is as low as just 10%. emma’s managed Kubernetes service allows multi-cloud cluster auto-scaling, which allows nodes to scale up or down based on real-time resource requirements.
Finally, you can also automate resource scheduling based on emma’s actionable insights to align cloud usage with peak and non-peak hours. Overall, these features help you reduce cloud waste and maintain optimal performance at the lowest cost possible.
Several cost management tools show potential savings from commitment-based discounts, but they don’t always provide information about real-time prices changes and options. This results in static savings strategies, which become less effective in the long-run. Enterprise workloads are always changing, and for optimal savings, you need more than point-in-time pricing information.
The emma platform tracks costs across cloud providers and their various instance types in real-time and suggests insights for optimal workload placement based on both current and projected needs. emma’s blended pricing insights help orchestrate the most efficient mix of on-demand, reserved, and spot instances to maximize cost savings while maintaining performance requirements. emma users have reported up to 75% cost savings through these AI-powered recommendations. In addition, the platform allows you to implement automated purchase and renewal strategies to maximize discount potential without constant hands-on upkeep.
Strategies like showback and chargeback are important for fostering financial accountability. Showback models, in particular, are least disruptive and allow FinOps teams to educate stakeholders on cost drivers and impact.
However, showback requires granular visibility into who is spending what and why. In this regard, the emma platform offers cost allocation tagging and tracks real-time consumption with granular attribution across teams, departments, and business units. This helps all users across the board to take ownership of their cloud spend, implement emma’s AI-powered optimization recommendations, and actively participate in preventing cloud overspending.
The emma platform is not just a monitoring and reporting tool. It’s a comprehensive solution that provides complete control along with execution capabilities. You can set custom cost policies to enforce budgets and spending limits for each service, project, and/or team and department.
Combined with emma’s no-code, self-service provisioning, businesses can reduce IT overhead by allowing teams to manage their cloud resources autonomously
emma also tracks and analyzes historical usage patterns to automatically detect anomalies and flag unexpected spikes in cloud spending. You can take proactive control over your cloud bill, detect policy misconfigurations, and predict and prevent overspending ahead of time.
Combined with emma’s no-code, self-service provisioning, businesses can also reduce IT overhead by allowing teams to manage their cloud resources autonomously without worrying about teams exceeding their budget limits. In addition, emma builds compliance into cost management through data residency controls. They allow you to prevent regulatory violations and potential fines by restricting data storage and movement beyond explicitly allowed jurisdictions.
Organizations adopt multi and hybrid cloud architectures, willingly or unwillingly, due to many reasons like shadow IT practices, M&A activity, data localization requirements, and specific workload demands. Ideally, these architectures should help optimize workload placement and discount utilization across different vendors and environments to reduce costs. In reality though, they come with even more cost management challenges, primarily due to lack of centralized visibility, governance, and control.
The more tools you use, the tougher it becomes to holistically analyze and optimize resource usage with accuracy. The emma platform solves this problem with its unified cost tracking and cross-cloud price comparisons.
70% of businesses use two or three tools to manage and optimize their cloud environments, yet nearly 50% of businesses are struggling to control cloud costs. The more tools you use, the tougher it becomes to holistically analyze and optimize resource usage with accuracy. The emma platform solves this problem with its unified cost tracking and cross-cloud price comparisons, which means you can centrally find and deploy on the most cost-effective instance types across all your cloud providers, all without switching tools and dashboards.
As workloads evolve and cloud pricing fluctuates, emma updates its recommendations in real time to ensure you always have the best options available. Beyond public clouds, emma’s hybrid cost insights integrate on-premise data center costs with cloud expenditures, so you can repatriate certain workloads that are better suited on-prem and save up to 50% on cloud costs. Basically, all your environments – whether public, private, or hybrid cloud – are covered under one single platform: emma.
Finally, emma transforms FinOps from basic cost tracking to full cloud value realization with its advanced AI/ML-powered features. It allows FinOps benchmarking & KPI tracking to measure cloud cost efficiency improvements over time. This helps FinOps teams build and improve long-term optimization strategies and ensure further cost reductions as time goes on.
emma’s intuitive dashboard is designed for a diverse range of users and teams, including those who may not be cloud-savvy. It enables cost-aware engineering, as different teams – DevOps, CloudOps, engineering, and finance – visualize and collaborate to align on cloud spending and deploy cost-efficient infrastructure from the get-go instead of optimizing it later on.
With emma, cloud cost optimization is not just about reducing spend – it’s about maximizing business value. emma automates cost control, enables proactive decision-making, and ensures financial accountability through AI-driven insights and automation and centralized visibility, governance, and control. These aren’t just claims – emma’s AI-powered recommendations for workload placement have been proven to reduce cloud bills by up to 75%, while its data transfer optimization cuts egress costs by 80%.
📢 Next Steps:
🚀 Try emma today and take control of your cloud costs with AI-powered insights!
This wraps up the final installment (Part 3) of our Cost Optimization series! Also check out Part 1 and Part 2, if you haven’t already. We hope you’ve learned valuable strategies and how to implement them seamlessly and effectively.
