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Azure Storage Deep Dive (Performance, Security and Cost Optimization)

Автор: Koenig Solutions

Загружено: 2026-02-28

Просмотров: 62

Описание: 🔴 Azure Storage Deep Dive (Performance, Security and Cost Optimization)
📅 February 27 · 3 PM IST – Set Reminder ▶️

Modern cloud workloads demand storage that is fast, secure, scalable, and cost-efficient. Yet many teams struggle to architect Azure Storage effectively — leading to performance bottlenecks, unnecessary costs, and configuration gaps that impact security and compliance. With the right strategy, Azure Storage becomes a powerful foundation for analytics, applications, and enterprise operations.

This advanced session provides a hands-on, architecture-focused deep dive into optimizing Microsoft Azure Storage for real-world workloads. Instead of surface-level concepts, the emphasis is on performance tuning, enterprise-grade security, and cost optimization techniques aligned with cloud best practices.

Led by Ankit Malik, Senior Corporate Trainer, this session equips professionals with the knowledge needed to design Azure Storage solutions that are resilient, efficient, and cost-aligned.

🔍 What you’ll learn:

1. Core Azure Storage Services

Understanding Blob, File, Queue, and Table Storage — and when to use each.
Evaluating storage architecture choices for enterprise workloads.
How access patterns influence service selection and overall performance.

2. Performance Optimization Techniques

Choosing the right storage tiers (Hot, Cool, Archive) for dynamic workloads.
Selecting appropriate redundancy options — LRS, ZRS, GRS — based on durability needs.
Improving throughput and latency with strategic configuration and partitioning.
Aligning access patterns with performance expectations.

3. Securing Azure Storage

Implementing encryption at rest and in transit for end-to-end protection.
Using RBAC, private endpoints, firewalls, and network rules to restrict access.
Securing credentials with Shared Access Signatures (SAS) and Azure Key Vault.
Ensuring compliance and reducing risk through layered security controls.

4. Cost Optimization Strategies

Applying lifecycle management policies for automated tiering and retention.
Using tiering strategies (Hot, Cool, Archive) to align cost with data behavior.
Implementing reserved capacity and monitoring usage with Azure Cost Management.
Avoiding overprovisioning while maintaining availability and performance.

5. Practical Scenarios & Architecture Discussions

Designing storage for analytics, applications, media workloads, and archival solutions.
Understanding trade-offs between performance, security, and cost.
Applying best practices to build scalable, resilient cloud storage environments.

6. What You’ll Be Able to Do After This Session

Architect efficient and durable Azure Storage solutions.
Strengthen security and governance across storage resources.
Optimize cloud spend without compromising performance.
Deploy storage designs that support enterprise-grade scalability and reliability.

🎯 Who should attend?
Cloud architects and Azure administrators
Infrastructure engineers and DevOps professionals
Data engineers and solution designers
Anyone responsible for managing enterprise cloud storage

Speaker:
Ankit Malik
Senior Corporate Trainer | Koenig Solutions Pvt. Ltd.

📢 Follow & Learn More:
🔗 Koenig Solutions: https://www.koenig-solutions.com
🔗 LinkedIn:   / koenig-solutions  
🔗 Facebook:   / koenigsolutions  
🔗 Instagram:   / koenigsolutions  
🔗 Twitter (X): https://x.com/KoenigSolutions
🔗 Upcoming Webinars: https://www.koenig-solutions.com/upco...

🧠 If you want to design Azure Storage solutions that are secure, scalable, high-performing, and cost-optimized, this session gives you a framework that actually works at work.

👍 Like | 💬 Comment | 🔔 Subscribe for more expert-led Azure, cloud architecture, and infrastructure optimization sessions.

#KoenigWebinars #KoenigSolutions #StepForward #AzureStorage #CloudArchitecture #PerformanceOptimization #CostManagement #SecurityBestPractices

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Azure Storage Deep Dive (Performance, Security and Cost Optimization)

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