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Tastewise Saves 2 Engineer Salaries, Cuts Costs 40%

DoiT Cloud Intelligence and tiered S3 storage optimized AWS spend while partner expertise resolved Elasticsearch timeouts.

Cloud Intelligence™
Tastewise

The Challenge

Tastewise faced rising S3 storage costs due to massive data volumes, challenging predictable unit economics. Complex customer searches strained their Elasticsearch system, causing slow response times and risking timeouts against SLOs. The company needed expertise to optimize both cloud costs and search performance without hiring expensive in-house specialists.

The Solution

Tastewise partnered with DoiT for cloud cost optimization and BigData Boutique for Elasticsearch expertise. DoiT implemented tiered S3 storage, right-sized objects, and provided ongoing cost governance through Cloud Intelligence. BigData Boutique helped migrate to resilient multi-node Elasticsearch clusters, separated data ingestion from customer queries, and provided proactive monitoring through Pulse.

Results

  • Saved equivalent of two full-time engineer salaries through expert partnerships
  • Reduced Elasticsearch operating costs by 40% versus managed services
  • Eliminated search timeouts with optimized cluster architecture
  • Achieved 36% all-time effective savings on EC2 workloads with Flexsave
  • Prevented thousands in unexpected costs with real-time anomaly detection

BigData Boutique saves us the cost of a dedicated Elasticsearch engineer, and DoiT saves us the cost of a FinOps engineer. And the fact that both companies have local Israeli teams, working in our time zone, speaking our language, and being able to conduct business face to face when required is a huge advantage.

Doron Gill, VP R&D at Tastewise

Cloud Cost Optimization with DoiT

DoiT recommended tiered storage to ensure fast access to frequently needed data while moving backup data to cost-efficient storage layers. The team also recommended right-sizing objects and batching access to limit API calls. DoiT continues analyzing cloud usage via Cloud Intelligence during quarterly reviews. Recent recommendations like switching ElastiCache to reserved instances saved $1,000 monthly. Flexsave for Compute automatically finds discounted rates for EC2 workloads, while Real-Time Anomaly Detection prevents unexpected cost spikes.

Elasticsearch Expertise with BigData Boutique

BigData Boutique helped migrate from single-node Elasticsearch clusters to resilient, scalable infrastructure on AWS. They provide ongoing expertise for routine maintenance and performance optimization, ensuring fast insights without timeouts. The partnership includes re-architecting data services by separating data ingestion pipelines from customer queries, preventing interference with customer-facing services. BigData Boutique's Pulse solution provides proactive monitoring and health assessments of Elasticsearch clusters.

Comprehensive Results

Working with both partners gives Tastewise comprehensive cloud expertise. The company saves equivalent to two full-time engineer salaries while reducing Elasticsearch operating costs by 40% versus managed services. DoiT's recommendations saved $1,000 monthly on ElastiCache, while Anomaly Detection prevented thousands in unexpected costs. Flexsave for Compute delivers 36% all-time effective savings on EC2 workloads. Most importantly, search timeouts are eliminated, ensuring reliable customer service.

See how DoiT helps cloud teams control spend

Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.

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What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

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You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can

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SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform

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