Cloud Computing

AI with Human Decision Making – Strikes a Right Balance in Agile Methodology

Leave a Comment / Agile-PM, AI & Emerging Technologies, Cloud Computing /

There has been an extensive discussion about AI and human interaction in Agile Methodology. In reality, AI and human decision-making are not opposing forces, they are complementary allies. AI enhances efficiency, predictability, and risk management, while human intuition, creativity, and emotional intelligence remain crucial for Agile success. By finding a right balance, organizations can leverage […]

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Artificial Intelligence (AI) – Privacy & Security Challenges

Leave a Comment / AI & Emerging Technologies, Cloud Computing, Software Engineering - DevOps /

AI – Privacy & Security Challenges – As AI continues to reshape industries, addressing security and privacy challenges has become even more crucial in building trust and reliability. Everyone knows that (AI) is also optimizing processes and enhancing decision-making. However, as AI adoption grows, security and privacy concerns become more critical. Orgs must adopt proactive

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How to Recognize That a Job Interview May be a “Trap Interview”

2 Comments / Agile-PM, Cloud Computing, Software Engineering - DevOps /

Recently, a friend of mine shared an experience during a job search & interview process that many of us might not recognize as a “trap interview.” He asked me to share some thoughts on this, and here’s my perspective: A “trap interview” occurs when an organization conducts an interview without a genuine intent to consider

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How to Mitigate Information Security Vulnerability During Unexpected Cloud Service Downtime

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Many of us have faced the frustration of unexpected cloud service downtime and subsequent challenge of addressing all related Information security concerns, which demands a structured approach focused on maintaining data integrity, ensuring regulatory compliance, and enhancing system resilience against potential threats. I have some suggestions that can help alleviate many of those concerns surrounding

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Azure DevOps vs. JIRA – Which Agile Tool Fits Your Workflow?

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Over the years, I’ve noticed that ‘Tech community’ frequently debates about their choice between JIRA Confluence and Azure DevOps – Kanban for project management. Cost has always been a focal point & a deciding factor. While I have extensive experience with Azure DevOps – Kanban, these ongoing discussions prompted me to take a deeper dive

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Key Considerations for Building a Stable and Cost-Effective (Azure) Cloud Architecture

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With my extensive experience on Microsoft platform, I plan to dive deep into Azure, Azure DevOps, Microsoft Teams, and more on AWS, Google Cloud etc. in future articles. However, for now, I’m focusing on one crucial topic-How to Build an Azure Architecture. Let’s get started & enjoy reading! Leverage Azure Well-Architected Framework – This Framework

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Why Migrate to MS Azure Cloud Platform

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At some point, I will explore reasons for migrating to a cloud platform. For now, I am just focusing specifically on Microsoft Azure out of curiosity: Cost efficiency – Pay-as-you-go pricing model – Reduced capital expenditure Scalability – Azure on-demand scalability, swiftly allowing scale up or down per workload Security and Compliance – Leverage with

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Transfer Azure Subscriptions Between Two Organizations

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Why Organizations need to Transfer Azure subscriptions – It could be because of business scenarios, such as mergers & acquisitions, company restructuring, or cloud cost optimization. A smooth transition is crucial to maintain uninterrupted services, avoid compliance issues, and align cloud resources with new organization’s policies Key prerequisites and Considerations – Subscription Type & Eligibility

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Afraid of Cloud Service Provider Lock-In? Implement a Multi-Cloud Strategy

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Workload Compatibility, Interoperability & Potability – Verify that Apps & workloads can run seamlessly on multiple cloud enviros. Implement containerization e.g., Docker, Kubernetes & other abstraction layers. Avoid reliance on any one proprietary services, design Apps that can be easily migrated/replicated on different cloud platforms with minimal changes Cost Efficiency & Optimization – Multi-cloud setups

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Key Risks of Unplanned Software Update Release

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Many Software Release Managers can relate to this insight: Poorly managed software update releases can lead to significant problems, including broken functionality, security vulnerabilities, dissatisfied customers, and subpar user experience. Lack of a Clear Roadmap – Poor Planning & Coordination – No structured release schedule or prioritization of features & fixes – Weak cross-team communication-

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