Parveen Singh
@cloudwithsingh
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Microsoft Certified Trainer (MCT) ---- ☁️ Cloud Solution Architect Talking about Cloud, Security, and DevOps #cloudwithsingh building https://t.co/C3faytXAsI
Joined October 2015
Posted a video after a long time now, I shared how you can deploy Azure Virtual Desktop with Intune. Check it out here! https://t.co/22T0lKagLH
#azure #cloudwithsingh #intune #azurevirtualdesktop
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☁️ Azure community is growing and getting more engagement now. It was amazing to see more than 200 people attending the Vancouver Azure User Group and network at this scale. Quick highlight from the recent session 👍👍 #cloudwithsingh @VancouverAzure @Azure
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The Microsoft Entra Suite Workshop is now live and it’s FREE to download! 🎉 The Microsoft Entra Suite workshop helps customers to develop an actionable and orderly strategy for implementing the Microsoft Entra Suite. Check it out at the following link: https://t.co/iO9zLYKUPL
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🔥 Weekend Project: I built a Service Mesh Analyzer in Go (golang) It uses a K-Means algorithm, which groups time-series data patterns. Why is this helpful for Service Mesh? 👉 Pattern recognition across Kubernetes Services 👉 Spot problems like retry storms, latency spikes,
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Remember, the key is continuous monitoring and adjustment based on current usage patterns and business requirements. ✅ Learn more by signing up for early access to Unsave
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9. Network Cost Optimization: VNet Peering: Use Virtual Network Peering instead of VPNs where possible to reduce egress data transfer costs. Traffic Manager: Optimize routing to reduce latency and, indirectly, costs by improving performance.
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8. Use Azure Functions for Event-Driven Compute: Serverless: Implement Azure Functions for tasks that don't require constant runtime, paying only for compute time used.
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7. Deallocate VMs When Not in Use: Stop/Deallocate: For development environments or any VM not needed 24/7, stop and deallocate when not in use to avoid compute charges.
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6. Optimize Data Storage: Cool vs. Hot Storage: Use Azure Blob Storage's cool tier for data accessed less frequently, and archive tier for data rarely accessed. Data Lifecycle Management: Automate moving data between tiers based on access patterns.
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5. Azure Cost Management + Billing: Set Budgets: Configure budget alerts to monitor and control spending. Cost Analysis: Regularly review costs by resource, service, or tag to identify anomalies or areas for optimization.
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4. Spot VMs for Non-Critical Workloads: Lower Cost: Use Azure Spot VMs for batch processing, development/test environments, or any workload that can tolerate interruptions.
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3. Auto-Scaling: Auto-Scale: Configure auto-scaling for VMs, App Services, or AKS clusters to match resource allocation with demand, reducing costs during low usage periods.
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2. Use Reserved Instances: Commitment: Pay for 1 or 3 years upfront for significant discounts on compute services like Virtual Machines, SQL Database, Cosmos DB, etc. Azure Hybrid Benefit: If you have existing licenses (like Windows Server, SQL Server), use to save on VM costs.
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Here are some effective Azure cost-saving strategies: 1. Right-Sizing Resources: Analyze Usage: Use Azure Advisor or Azure Cost Management to understand resource utilization. Resize: Scale down or up based on actual usage. Overprovisioning leads to unnecessary costs. Thread 🧵
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A mistake repeated more than once is a decision. Keep growing and making mistakes, but learn to incorporate the learnings to improve as you go. 💪 #cloudwithsingh
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I hope to solve that problem or at least, come closer to helping those, facing issues with wasting money on cloud resources that can be saved. If you know someone who could benefit from it, tag them and help spread the word to work together on solving this looming discussion.🤝
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Cost has always been a major discussion for most business owners🧑💼 and individuals building sandbox labs 🧪 in their cloud environments. Questions like ❓ - How do you save the cost? - Why does this cost so much? - How do we cleanup unused stuff?
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Building my First SaaS, the Journey of a Cloud Engineer 🚀🚀 Working in Azure space for more than 7 years and writing code, I always tried to keep an eye on trending issues and repetitive problems. 👀 💰 "Cost"
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