A blog site on our Real life experiences with various phases of DevOps starting from VCS, Build & Release, CI/CD, Cloud, Monitoring, Containerization.
When managing infrastructure-as-code using Terraform, the state file is a key component, as it keeps track of what resources are associated with your configuration and how they are configured relative to one another. Teams will suffer from corrupted state and conflicting updates if they are left on their own to store and coordinate state.As teams compete for overall dominance, resources are neglected. Continue reading “Terraform state locking with S3 and DynamoDB explained”
In the modern enterprise, data isn’t just an asset, it’s the lifeblood of decision-making. But raw data is like crude oil – it holds immense potential but is unusable in its natural state. It must be extracted, refined and transported to where it can power the business. This is the fundamental role of a data pipeline. For any leader looking to build a truly data-driven organization, understanding and investing in robust data pipeline architecture is not an IT expense, it’s a strategic imperative.
This guide moves beyond the technical jargon to explore why data pipelines are the bedrock of business agility, how to build them effectively and the tangible outcomes they deliver. Continue reading “The Complete Guide To Data Pipelines With Architecture, Types and Use Cases “
In today’s data-centric world, information is everywhere, but its true potential shines only through effective data engineering. As we move towards 2025, the ability to build, maintain, and innovate robust data infrastructures will distinguish leading companies in the industry. Indian technology companies are leading this transformation, providing excellent expertise to transform complex data into streamlined strategic resources. For businesses and professionals, adapting to this dynamic landscape is essential to achieve success in the future. Continue reading “Top Data Engineering Companies in India 2025”
As businesses continue to generate large amounts of data every day, it has become essential to establish a reliable cloud data storage architecture. Whether you’re working with analytics workloads, IoT data, or datasets for AI training, a thoughtfully designed cloud storage setup guarantees scalability, availability, and high performance while keeping costs and security under control.
In this guide, we will discuss designing a cloud data storage architecture suitable for big data, its components, best practices, and cutting-edge technologies that are fueling data-driven innovation. Continue reading “Building a Reliable Cloud Data Storage Architecture for Big Data”
