Earlier, developers followed conventional server-based approaches to build & deploy the applications. However, these traditional approaches do not guarantee scalability, continuous uptime, or complete availability of applications across diverse geographical areas. To avoid all these conflicts..
How Can GCP Help Perform Audits on BigQuery Projects and Google Cloud Storage?
Google Cloud Platform is a set of Computing, Networking, Storage, Big Data, and Machine Learning services that runs on the same Cloud infrastructure that Google uses internally for its end-user products such as Search, Gmail, and Drive. It empowers users to compute, store data, and facilitate..
Overview of Serverless and its Features
What is Serverless? Serverless is a way to describe the services, practices, and strategies that enable you to build more agile applications so you can innovate and respond to change faster. With serverless computing, infrastructure management tasks like capacity provisioning and patching are..
Data Foundation with Modernized Data Lake/Data Warehouse
Data Foundation – A GCP (Google Cloud Platform) Approach Legacy Data Warehouse was meant to capture mostly structured data for descriptive BI reporting. Trends changed to building a data lake to capture every aspect of the business operations. Data growth from terabytes to petabytes or..
Cloud-Native and the Hype around it
Cloud Adaption Models Cloud Adoption is a strategic move by organizations to reduce cost, mitigate risk and achieve scalability of computing capabilities. In fact, the depth of adoption yields insight into the overall maturity of best practices, enterprise-ready cloud services availability. Below..