I asked someone – Describe your perception of “work-life balance” and the response was: Work-life balance is just me balancing my laptop on one knee while eating dinner and replying to emails!😅
Work-Life Balance Relates to Working Smart Read More »
GitHub Copilot is a powerful tool that can significantly improve productivity. I’ve written extensively about Artificial Intelligence however, I figured it’s time to spotlight Microsoft Copilot. This AI-powered tool serves as a smart digital companion, leveraging advanced AI to understand user requests, generate insightful responses, assist with writing, and even create stunning images – Here
Power of Copilot – AI Powered Tool by Microsoft Read More »
In my opinion, work-life balance is not a ‘one-size-fits-all’ approach; it requires conscious effort and discipline. By setting boundaries, prioritizing effectively, and fostering a balanced work culture, software engineers can enjoy a fulfilling career without compromising personal well-being. Stay Tuned – I will share more insights on how to find joy and enthusiasm in your
Work-Life Balance for Software Engineers: Myth or Achievable Goal? Read More »
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
Key Considerations for Building a Stable and Cost-Effective (Azure) Cloud Architecture Read More »
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
Why Migrate to MS Azure Cloud Platform Read More »
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
Transfer Azure Subscriptions Between Two Organizations Read More »
Foster Shared Vision and Priorities – Define overarching OKRs that guide teams toward common results. Each team can break these down into specific sprint goals, ensuring their work aligns with higher-level business priorities. Cross-Team Stand-Ups or Syncs – Schedule periodic cross-team syncs (SCRUM) to review progress, address blockers, and manage dependencies. Utilize tools e.g.
Agile Sprints – And a Multi Team Priority Environment Read More »
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
Afraid of Cloud Service Provider Lock-In? Implement a Multi-Cloud Strategy Read More »
Cloud computing security blind spots created by AI stem from the complexity of cloud infrastructure and unique challenges AI introduces in this environment. These blind spots can reveal vulnerabilities that traditional security measures such as strong governance, transparent AI model development, and robust data management practice may not fully address. Here, I offer some suggestions
Cloud Security Blind Spots Created Due to Artificial Intelligence Read More »
Faster & Error-Free Deployments – AI can detect and prevent misconfigurations in IaC scripts before deployment – It enables automated remediation, reduces human intervention which results in minimizing downtime.Intelligent Automation & Optimization – AI can analyze historical deployment data to recommend most efficient configs – It automates Performance tuning, ensures optimal resource allocation which contributes
Benefits of Using AI With Infrastructure as Code (IaC) Read More »
