How TrueFoundry streamlines multi-cloud cost management across AWS, GCP, and Azure using Economize
Discover how TrueFoundry leverages the Economize integrated analytics and reporting features, gaining clarity on cost allocation and enabling easier budget oversight across departments and accounts.
“We needed a single pane of glass to understand what’s going on across all our cloud environments, especially as our team and workloads scaled. Economize gave us that visibility and helped us stay proactive in managing costs.”
Shubham Rai
Lead Platform Engineer @ TrueFoundry
About
TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the right governance controls, allowing them to achieve 90% faster time to value than other teams.
TrueFoundry abstracts out the engineering required and offers GenAI accelerators - LLM PlayGround, LLM Gateway, LLM Deploy, LLM Finetune, RAG Playground and Application Templates that can enable an organisation to speed up the layout of their overall GenAI/LLMOps framework. Enterprises can plug and play these accelerators with their internal systems as well as build on top of our accelerators to enable a LLMOps platform of their choice to the GenAI developers. TrueFoundry is modular and completely API driven, has native integration with popular tools in the market like LangChain, VectorDBs, GuardRails, etc.
TrueFoundry works with 25+ Fortune 500 Companies as well as hi-Tech midmarket companies including likes of WadhwaniAI, WhatFix, 2 Fortune 100 healthcare, Games24x7, AvisoAI etc.
Challenges
Complex multi-cloud environment: Operating across AWS, GCP, and Azure to serve a diverse client base made it challenging to manage costs effectively. The absence of a unified view led to inefficiencies and potential overspending.
Manual cost tracking: Initially, cloud cost tracking was managed through spreadsheets and manual processes. This approach became increasingly unsustainable as the team scaled, leading to missed optimizations and higher risks of untracked expenses.
Unpredictable workload costs: With almost 30% of workloads involving AI/ML inference, resource usage varied widely. This made it difficult to predict and control costs for the regularly used resources, especially during periods of experimentation.
Solution
Unified multi-cloud cost visibility: Economize provided a single pane of glass for TrueFoundry to monitor costs across all three major cloud providers, ensuring clarity and ease of management.
Automated alerts and reporting: Weekly notifications and real-time alerts via Slack enabled the team to proactively address potential cost spikes, reducing the manual overhead of monthly reviews.
Streamlined resource allocation: The platform helped the team to identify over-provisioned and underutilized resources across their cloud environments, allowing the team to allocate resources more effectively and eliminate unnecessary expenditures.
Outcomes
Improved cost oversight: The team gained a comprehensive view of cloud spending, enabling better decision-making and ensuring no resources were left unused or misconfigured.
Enhanced operational efficiency: Real-time alerts reduced manual interventions, freeing up the team to focus on core product development and scaling efforts.
Seamless scalability: TrueFoundry now has the tools to manage cloud costs efficiently as their operations grow, ensuring a sustainable balance between innovation and expenses.