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Yeedu Blogs

Deep dives into cloud efficiency, data engineering, and platform scalability. Learn from real-world experiences and expert perspectives shaping the future of data operations.

FEATURED

Yeedu: Cut Cloud Costs, Not Corners

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Cost-Aware UI in Yeedu: Real-Time Cost Visibility with YCU
Vishali Pillutla
February 24, 2026

Cost-Aware UI in Yeedu: Real-Time Cost Visibility with YCU

Yeedu CLI: Powering Yeedu Operations from the Command Line
Vishnu Prasad Boorla
February 10, 2026

Yeedu CLI: Powering Yeedu Operations from the Command Line

Billing Cycle and Invoice Generation in Yeedu
Jyothsna Basireddy
February 5, 2026

Billing Cycle and Invoice Generation in Yeedu

Cross-Resource Navigation Without Context Loss
Vishali Pillutla
February 3, 2026

Cross-Resource Navigation Without Context Loss

Running Thrift Jobs Seamlessly in Yeedu
Konda Samaikya
January 29, 2026

Running Thrift Jobs Seamlessly in Yeedu

Exposing Python Scripts as API in Production with Yeedu Functions
Akhil Dharani & Sadhvik Chirunomula
January 27, 2026

Exposing Python Scripts as API in Production with Yeedu Functions

Blogs
Team
Cost-Aware UI in Yeedu: Real-Time Cost Visibility with YCU
Real-Time Cloud Cost Tracking | Cost-Aware UI with Yeedu
Yeedu CLI: Powering Yeedu Operations from the Command Line
How to Run a Spark Job from Command Line Using a CLI
Billing Cycle and Invoice Generation in Yeedu
Billing Cycle & Invoice Generation for Multi-Cloud | Yeedu
Cross-Resource Navigation Without Context Loss | Yeedu UI
Running Spark Thrift Jobs Seamlessly in Yeedu
Exposing Python Files as API in Production with Yeedu Functions
Expose Python Scripts as Production APIs with Yeedu Functions
How Yeedu Architecture Optimizes Spark for Cost and Speed
Running Databricks Without the Bill Shock: Practical Cost Optimization Strategies
Databricks Cost Optimization: Cut DBU Spend Without Bill Shock
Governance & Access Control: Managing Workspaces Securely with Yeedu
Validating Real-Time Dashboards for Spark Job Efficiency and Spend Trends
Orchestrate Spark Smarter: Yeedu + Airflow for Reliable Data Pipelines
Multi-Cloud Spark Orchestration with Airflow
Breaking Silos: Yeedu’s Unified Logging to Google, AWS & Azure
Multi-Cloud Logging Without Blind Spots | Yeedu
Smarter Spark Scaling: Yeedu Auto-Sizes Clusters So You Don’t Have To
Smarter Spark Cluster Autoscaling With Yeedu
Integrating Glue, Hive and Unity Metastore Seamlessly into Yeedu With Zero Migration Overhead
Seamless Glue, Hive & Unity Metastore Integration in Yeedu
Smarter Spark Cluster Management with Yeedu: Auto Start-Stop, GPU Acceleration, and Multi-Version Control
Smart Spark Cluster Management with Auto Start-Stop & GPUs
Verifying LDAP and SSO workflows so enterprise users are authenticated securely in Yeedu
Secure Enterprise Authentication with LDAP, Azure AD & SSO
Migrating Databricks Notebooks and Jobs into Yeedu No Code Rewrites, Full Unity Catalog Connectivity
Migrate Databricks Notebooks & Jobs to Yeedu With No Code Changes
Enhancing Assistant X: Revolutionizing Spark Job Debugging for Developers
Revolutionize Spark Debugging with Assistant X – Try It on Yeedu Today
Enhancing cross-cloud Spark performance tuning with a single unified execution engine for predictable results
Cross-Cloud Spark Performance Tuning With One Unified Engine
Multiplexing Your Spark: Submit Multiple Spark Jobs, Kill The Queue, and Cut Costs
Multiplex Your Spark: Run Multiple Jobs Faster & Cut Costs with Yeedu
Designing Interactive Notebooks in Yeedu for Faster and Collaborative Model Experimentation
Interactive Notebooks in Yeedu with Managed Spark Clusters
AI Is Eating Digital Budgets - What That Means for Data Teams
AI Is Reshaping Tech Budgets - How Data Teams Can Stay Efficient
Intuitive UX for deployment of python functions, ML models and much more with Yeedu Functions
Yeedu: Intuitive Python Function Deployment & API Monitoring
Simplifying Access Governance with a Role-Based Access Control (RBAC) Dashboards
Role-Based Access Control Dashboard for Simplified Governance
The Challenges of Spark Cost Optimization and Diagnosing Expensive Spark Jobs
Spark Cost Optimization & Diagnosing Expensive Jobs
Avoid Vendor Lock-In With Open Data Architecture
Avoiding Vendor Lock-in in Modern Data Architecture
How FinOps Is Changing Data Engineering Forever
FinOps Transforms Data Engineering with Cost Optimization
Accelerating Chemical Similarity for Drug Discovery with Yeedu
Accelerating Chemical Similarity for Drug Discovery with Yeedu Turbo Engine
Why Data Observability Tools Fail to Control Big Data Costs
Why Data Platform Observability Tools Aren’t Enough to Control Big Data Costs
Accelerating Big Data Query Optimization with Iceberg Puffin
Accelerating Query Performance with Iceberg Puffin
Apache Polaris: Data Catalog for Open Data Platforms
Apache Polaris for Modern Open Data Platforms
Cut Costs, Not Corners : Yeedu Cloud Data Optimization Platform
Cut Cloud Costs with Cloud Cost Optimization Solutions | Yeedu
DOCUMENTATION

Yeedu Documentation

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