Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Meet Mux
Consumers expect more businesses to have video in their products, and streaming platforms like Netflix and TikTok have set expectations for seamless and reliable video experiences. Video is complex to build and even harder to scale and maintain. Mux is video infrastructure that makes it easy for development teams to build video into their products quickly, reliably, and at global scale. This lets teams focus on building what makes their business special, while Mux handles the complexity of video and analytics infrastructure.
The Challenge
Mux struggled to optimize cloud spend across their multicloud environment. The team was using Reserved Instances on AWS but had difficulty managing usage over commitment terms. When they changed machine types or optimized software, they faced painful processes of converting or selling outdated reservations. The time and expertise required for fully optimized commitment strategy was too much for the growing company to manage, leading to ad-hoc purchases that failed to provide significant savings.
The Solution
DoiT enabled Mux to enjoy full benefits of Savings Plan and CUD discounts across both AWS and Google Cloud environments. This approach works alongside their existing 3-year commitments while eliminating the need for new commitment purchases. The DoiT Console provides aggregate view and analytics as the primary source of cloud spend information for Mux's technology and business operations teams.
Results
- 22% savings on AWS on-demand EC2 costs
- 27% savings on Google Cloud on-demand Google Compute Engine workloads
- Eliminated need for purchasing new Savings Plans, saving countless hours of forecasting and provisioning
Prior to onboarding with DoiT, the challenge of forecasting and tracking is ultimately what kept us from doing commitment management really effectively. We'd get to a place where we wouldn't even feel confident enough in our own analysis to really take advantage of the commitments. We wanted to focus on building the product and growing quickly, not complex financial analysis.
Adam Brown, Co-Founder and Head of Technology
See how DoiT helps cloud teams control spend
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- Time to first cost insights after install
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What they say
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
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Your cloud bill shouldn't be a mystery
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