The Client
Talkpal is an AI-powered language learning platform that helps users practice more than 80 languages through immersive, interactive experiences.
Learners can improve by writing or speaking on a wide range of topics while receiving responses in a realistic voice, making practice feel natural and engaging. With features like Chat, Roleplays, Characters, Debates, and multiple learning modes, Talkpal creates a highly personalized learning experience across web, iOS, and Android.
- Industry:Education
- Company Size:11-50
- Country:United States
“Cloudvisor has been a valuable partner in supporting Talkpal’s AWS and DevOps infrastructure as we scale globally. Their team has helped us build a more reliable, efficient, and scalable cloud environment, allowing us to focus on delivering the best possible AI-powered language learning experience to our users.”
Challenges
- Unclear savings potential – The team wanted to understand how much they could realistically save using Reserved Instances and Savings Plans, but lacked a clear breakdown based on their actual usage.
- Understanding Database Savings Plans – With the introduction of Database Savings Plans, it wasn’t obvious which configurations or instance types would allow them to fully benefit from the new model.
- Need for deeper analysis beyond COR – While the initial Cost Optimization Review provided direction, it didn’t fully answer all practical questions around implementation and commitment levels.
- Infrastructure alignment for savings – To take advantage of Savings Plans, certain adjustments in instance types and database configurations were required, which needed careful evaluation.
- Balancing cost optimization with growth – As Talkpal continued to scale, the goal wasn’t just to reduce costs, but to ensure spending was efficient and aligned with long-term usage.
Before working with Cloudvisor, Talkpal had a solid AWS setup in place, but needed deeper visibility and guidance to confidently manage commitment optimisation and evolve their infrastructure in line with long-term growth.
Solutions
Cloudvisor started with a cost review and then worked closely with the team to define practical ways to apply Savings Plans effectively based on their real usage.
Cost review and opportunity mapping
An initial assessment was carried out to highlight where savings could be captured across key services, with a focus on compute and database workloads.
Detailed savings simulations
Custom calculations were prepared to compare different commitment options, helping Talkpal understand how various scenarios would affect their costs over time.
Planning compute commitments
Guidance was provided on selecting the right Savings Plans coverage for compute resources, ensuring efficiency without overcommitting.
Enabling database-level savings
Cloudvisor advised on adjusting database configurations so they could benefit from the newer Database Savings Plans model.
Aligning infrastructure with Savings Plans requirements
Recommendations focused on adjusting existing resources to meet Savings Plan requirements, ensuring the setup supports cost optimization without disrupting operations.
Customised EKS Node Configuration
EKS node AMIs were customised to pre-load Docker images and ML models, simplifying automation and reducing initialization time for AI workloads.
Ongoing collaboration and support
After sharing the analysis, Cloudvisor continued working with the team to answer follow-up questions and support the implementation of the selected approach.
Ongoing Managed Service
As Talkpal scales to serve learners across 80+ languages, Cloudvisor ensures the AWS spend stays efficient and aligned with growth — not reactive to it.
Continuous FinOps monitoring
Cost Anomaly Detection alerts catch unexpected spend spikes before they hit the budget.
Monthly cost reviews
Savings Plans coverage, Reserved Instance utilisation, and right-sizing checked as Talkpal's usage evolves.
Proactive optimisation
New savings opportunities identified ahead of time as new regions and services come online.
Direct access to AWS cost expertise
Cost questions and commitment decisions handled directly — no new SoW needed.
What's next
Ongoing Savings Plans optimisation and coverage reviews as the platform continues to grow.
AWS Services Used
- Amazon EC2
- Amazon RDS
- Amazon EKS
- AWS Data Transfer
Results
Talkpal came to Cloudvisor with a fast-growing platform and uncertainty around how to optimise AWS spending without limiting future growth. What followed was a structured cost overhaul — and the start of a continuous FinOps partnership that keeps spending efficient as Talkpal scales to serve learners worldwide.
- More Efficient SpendSavings Plans were introduced across compute and database workloads, improving overall cost efficiency.
- Scalable Cost StrategyInfrastructure is now structured to support growth without unnecessary cost overhead.
- Clearer Cost UnderstandingDetailed analysis provided better visibility into usage patterns and long-term commitment decisions.
- Confident ImplementationDecisions were made based on validated data and supported by ongoing Cloudvisor guidance.
- Spending that scales with the platformOngoing FinOps partnership keeping Talkpal's AWS costs efficient as the platform grows worldwide.
- Proactive anomaly detectionCost Anomaly Detection alerts flagging unexpected spend changes before they impact the budget.