Curiosity Tech

Day 21 – DevOps for Mobile & Web Applications Explained

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DevOps practices are no longer limited to backend or enterprise systems—they are essential for mobile and web application development. Integrating DevOps pipelines, CI/CD, automated testing, monitoring, and feedback loops into mobile and web projects ensures faster releases, higher quality, and better user experiences. At CuriosityTech.in, we teach engineers to implement end-to-end DevOps workflows for mobile […]

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Day 21 – Compliance & Governance in Multi-Cloud Environments

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Introduction Cloud adoption changes more than just infrastructure — it also changes legal and compliance responsibilities. When companies move to cloud platforms like AWS, Azure, and GCP, they share responsibility with the provider but are still fully accountable for data privacy, security, and compliance.In a multi-cloud setup, strong governance is essential to avoid fines, data

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Day 21 – AI & ML on AWS: SageMaker Overview for Engineers

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On Day 21, we explore AWS SageMaker, the fully managed service for building, training, and deploying machine learning models at scale. At CuriosityTech.in, learners understand that AI/ML is no longer optional—modern cloud engineers must integrate ML capabilities into applications for smarter solutions. SageMaker simplifies this by handling infrastructure, scaling, and monitoring, allowing engineers to focus

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Day 17 – Microservices & DevOps: Building Scalable Applications

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In today’s DevOps world, microservices are the go-to way to build apps that are scalable, reliable, and easy to maintain. Unlike big all-in-one systems, microservices let teams work on parts of the app separately, deploy them faster, and scale as needed. These fit perfectly into automated DevOps pipelines. At CuriosityTech.in, we teach engineers how to

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Illustration showing multi-cloud security with shields protecting data across AWS, Azure, and GCP

Day 17 – Data Migration Across Cloud Providers Explained

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Introduction Data is the most valuable asset for any company, but it’s also the hardest to move. Unlike apps that don’t store data, data is large, hard to move, and often regulated. Migrating data across AWS, Azure, and GCP is rarely about just copying files — it’s about: AtCuriosityTech.in, we’ve seen companies in Nagpur and

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Day 17 – Cost Optimization Strategies for Google Cloud Engineers

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Introduction As organizations scale their workloads in Google Cloud Platform (GCP), controlling costs becomes a critical responsibility for cloud engineers. Cloud resources can quickly accumulate expenses if not monitored and optimized properly. Cost optimization is not just about reducing bills—it’s about maximizing value while maintaining performance, availability, and reliability. At CuriosityTech.in, engineers are trained to

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