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Top 10 Lessons Learned from Failed Cloud Migrations: What Went Wrong?

What separates successful cloud migrations from disastrous ones? Cloud migration is often hailed as the ultimate solution for scalability and cost-efficiency, yet many companies find themselves stuck in rising costs, security vulnerabilities, or operational chaos. Why do these failures happen? Is it poor planning, unrealistic expectations, or simply the wrong approach? In this blog, we’ll uncover the stories behind failed cloud migrations, the lessons they teach, and how businesses can turn potential disaster into long-term success. 10 Lessons From Past Cloud Migration Failures Cloud migration has transformed how businesses operate, but not all journeys to the cloud have been smooth. Many migrations fail due to common pitfalls that, if identified early, can be avoided. Here are 10 crucial lessons derived from past cloud migration failures: 1. Lack of a Comprehensive Migration Strategy What Went Wrong Organizations rushed into migration without understanding their business objectives or...
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Generative AI vs. Traditional AI: Key Differences and Use Cases

Artificial Intelligence (AI) has woven itself into the fabric of our daily lives, but it’s essential to recognize that not all AI operates in the same manner. Two major categories—Traditional AI and Generative AI—are influencing various industries in their own unique ways. In this article, we’ll delve into the main differences between the two and highlight their distinctive use cases to appreciate their strengths and significance. What Is Traditional AI? Traditional AI, often dubbed deterministic AI, is centered around the analysis of data, the identification of patterns, and decision-making based on established algorithms or models. It functions within defined parameters and is crafted to tackle specific tasks. Examples of Traditional AI: Recommendation Systems: Proposing products or content tailored to user interests. Fraud Detection: Spotting irregularities in financial transactions. Chatbots: Delivering rule-based responses to customer inquiries. Traditional AI focuses on tasks an...
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AWS Firewall- Samurai Warriors

In MNCs, we have separate Network and Security teams – which is good by the way. They have the proper tool to block incoming or outgoing traffic. For this, they set up a firewall on their side which helps them establish a Network Control Centre. But managing this firewall is not easy and cheap because you have to purchase a license and to maintain that you need SMEs for particular that firewall. So to overcome all these issues we now have a managed service that is AWS Firewall. So what were the current Requirements that help me go deep-dive into this? We need to block some Public URLs for our egress traffic. We want to do so with a managed service. It should be quite easy to implement No Hustle and Bustle is required for setting and maintaining the firewall It should be a centralized Service. Should have control over your multiple accounts. Ex- It would be treated as Single Control Network for multi Accounts So, to fulfill all these requirements. The first fully managed service that ca...
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What Is Data Science? A Friendly Introduction

  In our increasingly data-centric society, you may have come across the term “data science” quite often. But what does it really mean, and why is there so much buzz around it? Let’s simplify the concept and see how this intriguing field is influencing our future. The Basics of Data Science At its essence, data science involves extracting valuable insights from raw information. Think of it as detective work—unraveling clues (the data) to answer questions or solve problems.  Data scientists tap into a mix of: Mathematics and Statistics:  To analyze data and detect patterns.  Programming Skills:  To manage and process vast amounts of information.  Domain Knowledge:  To grasp the nuances and interpret the outcomes. Picture yourself as a business owner needing to figure out why sales took a hit last month. A data scientist could sift through sales figures, customer trends, and market behaviors to pinpoint the issues and propose solutions for improvement. W...
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