Tag: technical blog

Building a Scalable And Cost-Efficient BigQuery Platform: Architecture, Practices & Lessons

As data platforms evolve from proof-of-concept pipelines to business-critical systems, scaling BigQuery requires more than writing efficient SQL. Without the right architectural choices, governance, and monitoring, organizations often face unpredictable costs, query slowdowns, and operational instability.

This blog outlines a set of platform-level engineering decisions and best practices adopted to run BigQuery at scale—focused on performance, cost optimization, security and observability. Each practice is backed by real-world implementation examples. Continue reading “Building a Scalable And Cost-Efficient BigQuery Platform: Architecture, Practices & Lessons”

Logs to Unclog: The Complete Guide to Logging

Introduction to Logging

What Are Logs?

Logs are chronological records of events that occur within software applications, operating systems, and network devices. They serve as the digital equivalent of a ship’s logbook, documenting what happened, when it happened, and often providing context about why it happened.

Why Logging Matters

In today’s distributed systems and microservices architectures, logging is not just helpful — it’s essential. Here’s why:

  • Debugging: Logs provide crucial information for identifying and fixing bugs
  • Monitoring: They enable real-time monitoring of system health and performance
  • Security: Logs help detect security incidents and unauthorized access
  • Compliance: Many regulations require comprehensive logging for audit trails
  • Performance Analysis: They help identify bottlenecks and optimization opportunities
  • Business Intelligence: Application logs can provide insights into user behavior and business metrics

Continue reading “Logs to Unclog: The Complete Guide to Logging”

LLM-Powered ETL: How GenAI is Automating Data Transformations

We’ve made huge strides in collecting data. Businesses today generate terabytes from apps, sensors, transactions, and user behavior. But the moment you want to do something with that data (feed it into dashboards, power models, trigger business logic), you run straight into the mess of transformation. 

You’ve probably seen this first-hand. Engineers spend weeks writing brittle transformation code. Every schema update breaks pipelines. Documentation is missing. Business logic is locked away in obscure ETL scripts no one wants to touch. This is the silent tax on your data operations: not gathering data, but shaping it.  Continue reading “LLM-Powered ETL: How GenAI is Automating Data Transformations”

What is HashiCorp Vault? A Complete Guide to Secrets Management in 2025

In today’s DevSecOps-driven world, secrets management is not just a security best practice, it’s a necessity. Whether you’re running Kubernetes clusters, deploying microservices, or automating infrastructure, handling credentials, tokens, API keys, and certificates securely is critical.  That’s where HashiCorp Vault comes in. 

Continue reading “What is HashiCorp Vault? A Complete Guide to Secrets Management in 2025”

How OpsZilla Achieved Zero-Downtime MySQL Migration with Scalable Data Engineering Practices

Running a growing e-commerce platform like Opszilla is thrilling. You’re processing thousands of orders daily across the US and Canada, scaling infrastructure, and expanding into new markets. But amidst all that momentum, something  starts to break: your data infrastructure and database performance.

At first, it’s subtle—slower queries, lagging reports, a few scaling hiccups. Then the real issue surfaces: you’re still running on MySQL 5.7, a version nearing its end-of-life in October 2023.

Continue reading “How OpsZilla Achieved Zero-Downtime MySQL Migration with Scalable Data Engineering Practices”