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Day 12 – Monitoring & Logging with CloudWatch & CloudTrail

Leave a Comment / Cloud Computing /

In cloud environments, visibility is critical. On Day 12, we explore AWS CloudWatch and AWS CloudTrail, two core services that allow cloud engineers to monitor, log, and troubleshoot AWS resources effectively. At CuriosityTech.in, we emphasize that monitoring isn’t just about alerts—it’s about understanding system behavior, predicting failures, and optimizing performance. 1. Understanding AWS CloudWatch AWS […]

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Day 20 – Secrets Management with HashiCorp Vault & AWS KMS

Leave a Comment / Cloud Engineer AWS /

In modern DevOps and cloud-native environments, managing secrets securely is critical. Secrets include API keys, database credentials, certificates, and encryption keys, which, if exposed, can compromise entire systems. At CuriosityTech.in, we train DevOps engineers to implement robust secrets management solutions using HashiCorp Vault, AWS Key Management Service (KMS), and other industry-standard tools. What is Secrets

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Day 20 – Case Study: Migrating Enterprise Apps to Azure Cloud

Leave a Comment / Cloud Engineer Azure /

Introduction Migrating enterprise applications to the cloud is a complex but critical process for modern businesses. Azure provides tools, best practices, and managed services that simplify migration, minimize downtime, and improve scalability. At curiositytech.in, learners gain hands-on experience planning and executing migrations, covering assessment, migration strategies, optimization, and post-migration monitoring. 1. Case Study Overview Client

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Day 20 – Case Study: Migrating Apps to Google Cloud Platform

Leave a Comment / Cloud Computing /

Introduction Migrating applications to Google Cloud Platform (GCP) is a critical step for organizations seeking scalability, reliability, and cost-efficiency. A well-executed migration not only reduces operational overhead but also enables access to cloud-native services like Cloud Run, BigQuery, Vertex AI, and Cloud Storage. At Curiosity Tech, engineers are trained in end-to-end migration strategies, from assessment

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Day 20 – AI & ML in Multi-Cloud: Leveraging Cloud-Native AI Tools

Leave a Comment / Artificial Intelligence /

Introduction Artificial Intelligence (AI) and Machine Learning (ML) are no longer research experiments — they’re production-grade tools driving personalization, fraud detection, automation, predictive maintenance, and intelligent operations across industries. Yet, each cloud provider brings its own AI/ML stack: ●      AWS with SageMaker & Bedrock, ●      Azure with Cognitive Services & OpenAI integration, ●      GCP with

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Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions

Leave a Comment / Cloud Engineer AWS /

Introduction Imagine this: A fintech company handles millions of micro-transactions daily. Their engineers don’t want to manage servers. They want functions that scale instantly, cost only when used, and integrate across AWS, Azure, and GCP. That’s the promise of serverless computing. In single-cloud, serverless is straightforward. But in multi-cloud environments, things get exciting: ●      AWS

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