How Rapyd solved observability gaps to cut Kubernetes costs by 40%
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
Lusha is a growing challenger in B2B sales intelligence. Founded in 2016, the Boston-based data broker has built itself up to become a major lead engagement platform for over 1.5 million users. Its cloud-native platform offers over 100 million business profiles to help sales and recruitment professionals find their next prospects and candidates. Lusha offers a competitive alternative to larger incumbents in the sales intelligence space by offering highly accurate, reliable data through an intuitive, easy-to-use dashboard.
Leveraging AWS, Lusha built its infrastructure to ensure great flexibility, resilience, and access to a wide range of tools to help its customers. However, this comes at the cost of rapidly increasing complexity in managing usage across workloads.
Staying within budget on cloud expenditures is challenging for the vast majority of companies. Accurately forecasting cloud budgets that leave room for unpredictable cost fluctuations is paramount to succeed. Lusha had the added complexity of investing in and implementing new machine learning and AI features, making cost control even more challenging.
Lusha came to DoiT after assessing a number of vendors. They were looking for a partner to help them support and manage all their cloud infrastructure, with a particular focus on gaining control and visibility over its costs to better inform business decisions.
DoiT began its relationship with Lusha with a comprehensive assessment of its environment to capture a complete picture and look for opportunities to reduce costs and increase efficiency. With the analysis complete, Lusha was onboarded on DoiT Cloud Intelligence so Lusha’s engineers and business decision-makers could have a complete and shared view of the company’s cloud resources. After implementing Flexsave to optimize its costs, it allocated its cloud resources across more than 10 technical and security teams using DoiT Attributions. After that, they used DoiT analytics to build team-specific reports that filtered its cost data, then combined these together to create dashboards for each team lead so each could easily view resource usage for the cloud infrastructure they were responsible for.
Lusha also leverages DoiT’s cloud expertise to enhance and optimize its infrastructure. By collaborating closely with the DoiT team, Lusha leverages tailored guidance and intelligent technology that helps streamline operations and ensure a well-architected, scalable cloud environment. This partnership empowers Lusha to proactively address challenges, drive efficiency, and unlock the full potential of its cloud investment.
Lusha’s engineers meet with DoiT monthly to exchange feedback and insights aimed at improving infrastructure. Additionally, when specific issues arise, DoiT proactively engages with the Lusha’s team to explore potential optimizations.
Lusha has also begun experimenting with new AI-based technologies, which DoiT supports through its expertise. DoiT gives Lusha’s team access to its cloud architects, who can help them ideate and prototype tools or services they can then test and iterate on.
Using this newly-created visibility into its resource spend and with automated management of its cloud compute costs with Flexsave, Lusha has brought its costs down by 18% – in real terms, this has meant hundreds of thousands of dollars saved across the Amazon services it uses, including EC2, RDS, and Sagemaker.
Additionally, DoiT’s support has the downstream effect of helping Lusha improve its customer support and services with faster response times.
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
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