#azure storage queue

[seosy05-blog]

The Rise of Serverless Architecture and Its Impact on Full Stack Development

The digital world is in constant flux, driven by the relentless pursuit of efficiency, scalability, and faster time-to-market. Amidst this evolution, serverless architecture has emerged as a transformative force, fundamentally altering how applications are built and deployed. For those seeking comprehensive full stack development services, this paradigm shift presents both exciting opportunities and new challenges. This article delves deep into the rise of serverless, exploring its core concepts, benefits, drawbacks, and, most importantly, its profound impact on full stack development.

Understanding the Serverless Revolution

At its core, serverless computing doesn't mean the absence of servers. Instead, it signifies a shift in responsibility. Developers no longer need to provision, manage, and scale the underlying server infrastructure. Cloud providers like AWS (with Lambda), Google Cloud (with Cloud Functions), and Microsoft Azure (with Azure Functions) handle these operational burdens. This allows full stack developers to focus solely on writing and deploying code, triggered by events such as HTTP requests, database changes, file uploads, and more.

The key characteristics of serverless architecture include:

No Server Management: The cloud provider handles all server-related tasks, including provisioning, patching, and scaling.

Automatic Scaling: Resources scale automatically based on demand, ensuring applications can handle traffic spikes without manual intervention.

Pay-as-you-go Pricing: Users are charged only for the compute time consumed when their code is running, leading to potential cost savings.

Event-Driven Execution: Serverless functions are typically triggered by specific events, making them highly efficient for event-driven architectures.

The Benefits of Embracing Serverless for Full Stack Developers

The adoption of serverless architecture brings a plethora of advantages for full stack developers:

Increased Focus on Code: By abstracting away server management, developers can dedicate more time and energy to writing high-quality code and implementing business logic. This leads to faster development cycles and quicker deployment of features.

Enhanced Scalability and Reliability: Serverless platforms offer built-in scalability and high availability. Applications can effortlessly handle fluctuating user loads without requiring developers to configure complex scaling strategies. The underlying infrastructure is typically highly resilient, ensuring greater application uptime.

Reduced Operational Overhead: The elimination of server maintenance tasks significantly reduces operational overhead. Full stack developers no longer need to spend time on server configuration, security patching, or infrastructure monitoring. This frees up valuable resources that can be reinvested in innovation.

Cost Optimization: The pay-as-you-go model can lead to significant cost savings, especially for applications with variable traffic patterns. You only pay for the compute resources you actually consume, rather than maintaining idle server capacity.

Faster Time to Market: The streamlined development and deployment process associated with serverless allows teams to release new features and applications more rapidly, providing a competitive edge.

Simplified Deployment: Deploying serverless functions is often simpler and faster than deploying traditional applications. Developers can typically deploy individual functions without needing to redeploy the entire application.

Integration with Managed Services: Serverless platforms seamlessly integrate with a wide range of other managed services offered by cloud providers, such as databases, storage, and messaging queues. This allows full stack developers to build complex applications using pre-built, scalable components.

Navigating the Challenges of Serverless Development

While the benefits are compelling, serverless architecture also presents certain challenges that full stack developers need to be aware of:

Cold Starts: Serverless functions can experience "cold starts," where there's a delay in execution if the function hasn't been invoked recently. This can impact the latency of certain requests, although cloud providers are continuously working on mitigating this issue.

Statelessness: Serverless functions are inherently stateless, meaning they don't retain information between invocations. Developers need to implement external mechanisms (like databases or caching services) to manage state.

Debugging and Monitoring: Debugging and monitoring distributed serverless applications can be more complex than traditional monolithic applications. Specialized tools and strategies are often required to trace requests and identify issues across multiple functions and services.

Vendor Lock-in: Choosing a specific cloud provider for your serverless infrastructure can lead to vendor lock-in, making it potentially challenging to migrate to another provider in the future.

Complexity Management: For large and complex applications, managing a multitude of individual serverless functions and their interactions can become challenging. Proper organization, documentation, and tooling are crucial.

Testing: Testing serverless functions in isolation and in integration with other services requires specific approaches and tools. Traditional testing methodologies may need to be adapted.

Security Considerations: While the cloud provider handles infrastructure security, developers are still responsible for securing their code and configurations within the serverless environment. Understanding the security implications of serverless is crucial.

The Impact on Full Stack Development Practices

The rise of serverless architecture is significantly reshaping the role and responsibilities of full stack developers:

Shift in Skillsets: While traditional backend skills remain relevant, full stack developers working with serverless need to develop expertise in cloud-specific services, event-driven programming, API design, and infrastructure-as-code (IaC) tools like Terraform or CloudFormation.

Increased Focus on API Design: With serverless functions often communicating via APIs, strong API design skills become even more critical for full stack developers. They need to design robust, scalable, and well-documented APIs.

Embracing Event-Driven Architectures: Serverless naturally lends itself to event-driven architectures. Full stack developers need to understand event sourcing, message queues, and other concepts related to building reactive systems.

DevOps Integration: While server management is abstracted, a DevOps mindset remains essential. Full stack developers need to be involved in CI/CD pipelines, automated testing, and monitoring to ensure the smooth operation of their serverless applications.

Understanding Cloud Ecosystems: A deep understanding of the specific cloud provider's ecosystem, including its serverless offerings, databases, storage solutions, and other managed services, is crucial for effective serverless development.

New Development Paradigms: Serverless encourages the adoption of microservices and function-as-a-service (FaaS) paradigms, requiring full stack developers to think differently about application decomposition and architecture.

Tooling and Ecosystem Evolution: The serverless ecosystem is constantly evolving, with new tools and frameworks emerging to simplify development, deployment, and monitoring. Full stack developers need to stay updated with these advancements.

Future Trends in Serverless and Full Stack Development

The future of serverless architecture and its impact on full stack development looks promising and dynamic:

Further Abstraction: Cloud providers will likely continue to abstract away more infrastructure complexities, making serverless even easier to adopt and use.

Improved Cold Start Performance: Ongoing research and development efforts will likely lead to significant improvements in cold start times, making serverless suitable for an even wider range of applications.

Enhanced Developer Tools: The tooling around serverless development will continue to mature, offering better debugging, monitoring, and testing capabilities.

Edge Computing Integration: Serverless principles are likely to extend to edge computing environments, enabling the development of distributed, event-driven applications closer to the data source.

AI and Machine Learning Integration: Serverless functions will play an increasingly important role in deploying and scaling AI and machine learning models.

Standardization and Interoperability: Efforts towards standardization across different cloud providers could reduce vendor lock-in and improve the portability of serverless applications.

Conclusion: Embracing the Serverless Future

Serverless architecture represents a significant evolution in how applications are built and deployed. For full stack developers, embracing this paradigm offers numerous benefits, including increased focus on code, enhanced scalability, reduced operational overhead, and faster time to market. While challenges such as cold starts, statelessness, and the need for new skillsets exist, the advantages often outweigh the drawbacks, especially for modern, scalable applications.

As the serverless ecosystem continues to mature and evolve, full stack developers who adapt to this transformative technology will be well-positioned to build innovative and efficient applications in the years to come. The rise of serverless is not just a trend; it's a fundamental shift that is reshaping the future of software development.

[passyouritcertificationexamfirst]

 Pass AWS SAP-C02 Exam in First Attempt

Crack the AWS Certified Solutions Architect - Professional (SAP-C02) exam on your first try with real exam questions, expert tips, and the best study resources from JobExamPrep and Clearcatnet.

How to Pass AWS SAP-C02 Exam in First Attempt: Real Exam Questions & Tips

Are you aiming to pass the AWS Certified Solutions Architect – Professional (SAP-C02) exam on your first try? You’re not alone. With the right strategy, real exam questions, and trusted study resources like JobExamPrep and Clearcatnet, you can achieve your certification goals faster and more confidently.

Overview of SAP-C02 Exam

The SAP-C02 exam validates your advanced technical skills and experience in designing distributed applications and systems on AWS. Key domains include:

Design Solutions for Organizational Complexity

Design for New Solutions

Continuous Improvement for Existing Solutions

Accelerate Workload Migration and Modernization

Exam Format:

Number of Questions: 75

Type: Multiple choice, multiple response

Duration: 180 minutes

Passing Score: Approx. 750/1000

Cost: $300

AWS SAP-C02 Real Exam Questions (Real Set)

Here are 5 real-exam style questions to give you a feel for the exam difficulty and topics:

Q1: A company is migrating its on-premises Oracle database to Amazon RDS. The solution must minimize downtime and data loss. Which strategy is BEST?

A. AWS Database Migration Service (DMS) with full load only B. RDS snapshot and restore C. DMS with CDC (change data capture) D. Export and import via S3

Answer: C. DMS with CDC

Q2: You are designing a solution that spans multiple AWS accounts and VPCs. Which AWS service allows seamless inter-VPC communication?

A. VPC Peering B. AWS Direct Connect C. AWS Transit Gateway D. NAT Gateway

 Answer: C. AWS Transit Gateway

Q3: Which strategy enhances resiliency in a serverless architecture using Lambda and API Gateway?

A. Use a single Availability Zone B. Enable retries and DLQs (Dead Letter Queues) C. Store state in Lambda memory D. Disable logging

 Answer: B. Enable retries and DLQs

Q4: A company needs to archive petabytes of data with occasional access within 12 hours. Which storage class should you use?

A. S3 Standard B. S3 Intelligent-Tiering C. S3 Glacier D. S3 Glacier Deep Archive

Answer: D. S3 Glacier Deep Archive

Q5: You are designing a disaster recovery (DR) solution for a high-priority application. The RTO is 15 minutes, and RPO is near zero. What is the most appropriate strategy?

A. Pilot Light B. Backup & Restore C. Warm Standby D. Multi-Site Active-Active

Answer: D. Multi-Site Active-Active

Click here to Start Exam Recommended Resources to Pass SAP-C02 in First Attempt

To master these types of questions and scenarios, rely on real-world tested resources. We recommend:

✅ JobExamPrep

A premium platform offering curated practice exams, scenario-based questions, and up-to-date study materials specifically for AWS certifications. Thousands of professionals trust JobExamPrep for structured and realistic exam practice.

✅ Clearcatnet

A specialized site focused on cloud certification content, especially AWS, Azure, and Google Cloud. Their SAP-C02 study guide and video explanations are ideal for deep conceptual clarity.Expert Tips to Pass the AWS SAP-C02 Exam

Master Whitepapers – Read AWS Well-Architected Framework, Disaster Recovery, and Security best practices.

Practice Scenario-Based Questions – Focus on use cases involving multi-account setups, migration, and DR.

Use Flashcards – Especially for services like AWS Control Tower, Service Catalog, Transit Gateway, and DMS.

Daily Review Sessions – Use JobExamPrep and Clearcatnet quizzes every day.

Mock Exams – Simulate the exam environment at least twice before the real test.

🎓 Final Thoughts

The AWS SAP-C02 exam is tough—but with the right approach, you can absolutely pass it on the first attempt. Study smart, practice real exam questions, and leverage resources like JobExamPrep and Clearcatnet to build both confidence and competence.

[learning-code-ficusoft]

Combining Azure Data Factory with Azure Event Grid for Event-Driven Workflows

Traditional data pipelines often run on schedules — every 15 minutes, every hour, etc. But in a real-time world, that isn’t always enough. When latency matters, event-driven architectures offer a more agile solution.

Enter Azure Data Factory (ADF) + Azure Event Grid — a powerful duo for building event-driven data workflows that react to file uploads, service messages, or data changes instantly.

Let’s explore how to combine them to build more responsive, efficient, and scalable pipelines.

⚡ What is Azure Event Grid?

Azure Event Grid is a fully managed event routing service that enables your applications to react to events in near real-time. It supports:

Multiple event sources: Azure Blob Storage, Event Hubs, IoT Hub, custom apps

Multiple event handlers: Azure Functions, Logic Apps, WebHooks, and yes — Azure Data Factory

🎯 Why Use Event Grid with Azure Data Factory?

BenefitDescription🕒 Real-Time TriggersTrigger ADF pipelines the moment a file lands in Blob Storage — no polling needed🔗 Decoupled ArchitectureKeep data producers and consumers independent⚙️ Flexible RoutingRoute events to different pipelines, services, or queues based on metadata💰 Cost-EffectivePay only for events received — no need for frequent pipeline polling

🧱 Core Architecture Pattern

Here’s how the integration typically looks:pgsqlData Source (e.g., file uploaded to Blob Storage) ↓ Event Grid ↓ ADF Webhook Trigger (via Logic App or Azure Function) ↓ ADF Pipeline runs to ingest/transform data

🛠 Step-by-Step: Setting Up Event-Driven Pipelines

✅ 1. Enable Event Grid on Blob Storage

Go to your Blob Storage account

Navigate to Events > + Event Subscription

Select Event Type: Blob Created

Choose the endpoint — typically a Logic App, Azure Function, or Webhook

✅ 2. Create a Logic App to Trigger ADF Pipeline

Use Logic Apps if you want simple, no-code integration:

Use the “When a resource event occurs” Event Grid trigger

Add an action: “Create Pipeline Run (Azure Data Factory)”

Pass required parameters (e.g., file name, path) from the event payload

🔁 You can pass the blob path into a dynamic dataset in ADF for ingestion or transformation.

✅ 3. (Optional) Add Routing Logic

Use conditional steps in Logic Apps or Functions to:

Trigger different pipelines based on file type

Filter based on folder path, metadata, or event source

📘 Use Case Examples

📁 1. File Drop in Data Lake

Event Grid listens to Blob Created

Logic App triggers ADF pipeline to process the new file

🧾 2. New Invoice Arrives via API

Custom app emits event to Event Grid

Azure Function triggers ADF pipeline to pull invoice data into SQL

📈 3. Stream Processing with Event Hubs

Event Grid routes Event Hub messages to ADF or Logic Apps

Aggregated results land in Azure Synapse

🔐 Security and Best Practices

Use Managed Identity for authentication between Logic Apps and ADF

Use Event Grid filtering to avoid noisy triggers

Add dead-lettering to Event Grid for failed deliveries

Monitor Logic App + ADF pipeline failures with Azure Monitor Alerts

🧠 Wrapping Up

Event-driven architectures are key for responsive data systems. By combining Azure Event Grid with Azure Data Factory, you unlock the ability to trigger pipelines instantly based on real-world events — reducing latency, decoupling your system, and improving efficiency.

Whether you’re reacting to file uploads, streaming messages, or custom app signals, this integration gives your pipelines the agility they need.

Want an infographic to go with this blog? I can generate one in your preferred visual style.

WEBSITE: https://www.ficusoft.in/azure-data-factory-training-in-chennai/

[hawkstack]

🚀 Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation

As enterprises continue to adopt Kubernetes for container orchestration, the demand for scalable, resilient, and enterprise-grade storage solutions has never been higher. While Kubernetes excels in managing stateless applications, managing stateful workloads—such as databases, messaging queues, and AI/ML pipelines—poses unique challenges. This is where Red Hat OpenShift Data Foundation (ODF) steps in as a game-changer.

📦 What is Red Hat OpenShift Data Foundation?

Red Hat OpenShift Data Foundation (formerly OpenShift Container Storage) is a software-defined storage solution designed specifically for OpenShift environments. Built on Ceph and NooBaa, ODF provides a unified storage layer that seamlessly supports block, file, and object storage within your Kubernetes infrastructure.

ODF delivers highly available, scalable, and secure storage for cloud-native workloads, empowering DevOps teams to run stateful applications confidently across hybrid and multi-cloud environments.

🔧 Key Features of OpenShift Data Foundation

1. Unified Storage for Kubernetes

ODF supports:

Block Storage for databases and persistent workloads

File Storage for legacy applications and shared volumes

Object Storage for cloud-native applications, backup, and AI/ML data lakes

2. Multi-Cloud & Hybrid Cloud Ready

Deploy ODF on bare metal, private clouds, public clouds, or hybrid environments. With integrated NooBaa technology, it allows seamless object storage across AWS S3, Azure Blob, and on-premises storage.

3. Integrated with OpenShift

ODF is tightly integrated with Red Hat OpenShift, allowing:

Native support for Persistent Volume Claims (PVCs)

Automated provisioning and scaling

Built-in monitoring through OpenShift Console and Prometheus/Grafana

4. Data Resilience & High Availability

Through Ceph under the hood, ODF offers:

Data replication across nodes

Self-healing storage clusters

Built-in erasure coding for space-efficient redundancy

5. Security & Compliance

ODF supports:

Encryption at rest and in transit

Role-Based Access Control (RBAC)

Integration with enterprise security policies and key management services (KMS)

🧩 Common Use Cases

Database as a Service (DBaaS) on Kubernetes

CI/CD Pipelines with persistent cache

AI/ML Workloads requiring massive unstructured data

Kafka, Elasticsearch, and other stateful operators

Backup & Disaster Recovery for OpenShift clusters

🛠️ Architecture Overview

At a high level, ODF deploys the following components:

ODF Operator: Automates lifecycle and management

CephCluster: Manages block and file storage

NooBaa Operator: Manages object storage abstraction

Multicloud Object Gateway (MCG): Bridges cloud and on-prem storage

The ODF stack ensures zero downtime for workloads and automated healing in the event of hardware failure or node loss.

🚀 Getting Started

To deploy OpenShift Data Foundation:

Install OpenShift on your preferred infrastructure.

Enable the ODF Operator from OperatorHub.

Configure storage cluster using local devices, AWS EBS, or any supported backend.

Create storage classes for your apps to consume via PVCs.

Pro Tip: Use OpenShift’s integrated dashboard to visualize storage usage, health, and performance metrics out of the box.

🧠 Final Thoughts

Red Hat OpenShift Data Foundation is more than just a storage solution—it's a Kubernetes-native data platform that gives you flexibility, resilience, and performance at scale. Whether you're building mission-critical microservices or deploying petabyte-scale AI workloads, ODF is designed to handle your stateful needs in an enterprise-ready way.

Embrace the future of cloud-native storage with Red Hat OpenShift Data Foundation.For more details www.hawkstack.com 

[trantor-inc]

Building Scalable Web Applications: Best Practices for Full Stack Developers

Scalability is one of the most crucial factors in web application development. In today’s dynamic digital landscape, applications need to be prepared to handle increased user demand, data growth, and evolving business requirements without compromising performance. For full stack developers, mastering scalability is not just an option—it’s a necessity. This guide explores the best practices for building scalable web applications, equipping developers with the tools and strategies needed to ensure their projects can grow seamlessly.

What Is Scalability in Web Development?

Scalability refers to a system’s ability to handle increased loads by adding resources, optimizing processes, or both. A scalable web application can:

Accommodate growing numbers of users and requests.

Handle larger datasets efficiently.

Adapt to changes without requiring complete redesigns.

There are two primary types of scalability:

Vertical Scaling: Adding more power (CPU, RAM, storage) to a single server.

Horizontal Scaling: Adding more servers to distribute the load.

Each type has its use cases, and a well-designed application often employs a mix of both.

Best Practices for Building Scalable Web Applications

1. Adopt a Microservices Architecture

What It Is: Break your application into smaller, independent services that can be developed, deployed, and scaled independently.

Why It Matters: Microservices prevent a single point of failure and allow different parts of the application to scale based on their unique needs.

Tools to Use: Kubernetes, Docker, AWS Lambda.

2. Optimize Database Performance

Use Indexing: Ensure your database queries are optimized with proper indexing.

Database Partitioning: Divide large databases into smaller, more manageable pieces using horizontal or vertical partitioning.

Choose the Right Database Type:

Use SQL databases like PostgreSQL for structured data.

Use NoSQL databases like MongoDB for unstructured or semi-structured data.

Implement Caching: Use caching mechanisms like Redis or Memcached to store frequently accessed data and reduce database load.

3. Leverage Content Delivery Networks (CDNs)

CDNs distribute static assets (images, videos, scripts) across multiple servers worldwide, reducing latency and improving load times for users globally.

Popular CDN Providers: Cloudflare, Akamai, Amazon CloudFront.

Benefits:

Faster content delivery.

Reduced server load.

Improved user experience.

4. Implement Load Balancing

Load balancers distribute incoming requests across multiple servers, ensuring no single server becomes overwhelmed.

Types of Load Balancing:

Hardware Load Balancers: Physical devices.

Software Load Balancers: Nginx, HAProxy.

Cloud Load Balancers: AWS Elastic Load Balancing, Google Cloud Load Balancing.

Best Practices:

Use sticky sessions if needed to maintain session consistency.

Monitor server health regularly.

5. Use Asynchronous Processing

Why It’s Important: Synchronous operations can cause bottlenecks in high-traffic scenarios.

How to Implement:

Use message queues like RabbitMQ, Apache Kafka, or AWS SQS to handle background tasks.

Implement asynchronous APIs with frameworks like Node.js or Django Channels.

6. Embrace Cloud-Native Development

Cloud platforms provide scalable infrastructure that can adapt to your application’s needs.

Key Features to Leverage:

Autoscaling for servers.

Managed database services.

Serverless computing.

Popular Cloud Providers: AWS, Google Cloud, Microsoft Azure.

7. Design for High Availability (HA)

Ensure that your application remains operational even in the event of hardware failures, network issues, or unexpected traffic spikes.

Strategies for High Availability:

Redundant servers.

Failover mechanisms.

Regular backups and disaster recovery plans.

8. Optimize Front-End Performance

Scalability is not just about the back end; the front end plays a significant role in delivering a seamless experience.

Best Practices:

Minify and compress CSS, JavaScript, and HTML files.

Use lazy loading for images and videos.

Implement browser caching.

Use tools like Lighthouse to identify performance bottlenecks.

9. Monitor and Analyze Performance

Continuous monitoring helps identify and address bottlenecks before they become critical issues.

Tools to Use:

Application Performance Monitoring (APM): New Relic, Datadog.

Logging and Error Tracking: ELK Stack, Sentry.

Server Monitoring: Nagios, Prometheus.

Key Metrics to Monitor:

Response times.

Server CPU and memory usage.

Database query performance.

Network latency.

10. Test for Scalability

Regular testing ensures your application can handle increasing loads.

Types of Tests:

Load Testing: Simulate normal usage levels.

Stress Testing: Push the application beyond its limits to identify breaking points.

Capacity Testing: Determine how many users the application can handle effectively.

Tools for Testing: Apache JMeter, Gatling, Locust.

Case Study: Scaling a Real-World Application

Scenario: A growing e-commerce platform faced frequent slowdowns during flash sales.

Solutions Implemented:

Adopted a microservices architecture to separate order processing, user management, and inventory systems.

Integrated Redis for caching frequently accessed product data.

Leveraged AWS Elastic Load Balancer to manage traffic spikes.

Optimized SQL queries and implemented database sharding for better performance.

Results:

Improved application response times by 40%.

Seamlessly handled a 300% increase in traffic during peak events.

Achieved 99.99% uptime.

Conclusion

Building scalable web applications is essential for long-term success in an increasingly digital world. By implementing best practices such as adopting microservices, optimizing databases, leveraging CDNs, and embracing cloud-native development, full stack developers can ensure their applications are prepared to handle growth without compromising performance.

Scalability isn’t just about handling more users; it’s about delivering a consistent, reliable experience as your application evolves. Start incorporating these practices today to future-proof your web applications and meet the demands of tomorrow’s users.

[onlinemarketingbangalore]

Top 10 Skills to Look for in a Python Developer in 2025

As Python continues to be one of the most in-demand programming languages, businesses across all industries are on the lookout for skilled Python developers. Hiring the right developer is crucial to the success of your projects, and the fast-paced evolution of technology means that certain skills are more important than ever. To ensure you hire the best talent in 2025, here are the top 10 skills to prioritize when hiring a Python developer.

1. Expertise in Python Fundamentals and Advanced Features

A strong grasp of Python’s core concepts is the foundation of any Python developer’s skill set. This includes:

Data types, variables, and control flow

Functions, classes, and modules

List comprehensions, lambda functions, and error handling

Beyond the basics, developers should be familiar with advanced Python features such as decorators, generators, and context managers. Mastery of these advanced concepts shows that a developer can write clean, efficient, and scalable code.

2. Proficiency with Web Frameworks (Django, Flask, FastAPI)

Python’s strength in web development continues to grow, and expertise in popular frameworks is essential. Key frameworks include:

Django: Ideal for building large-scale applications with built-in tools for ORM, authentication, and admin dashboards.

Flask: A lightweight option for smaller or more flexible applications.

FastAPI: Perfect for building high-performance APIs with modern features.

A well-rounded developer should know when and how to use these frameworks to best suit the needs of a project, as well as have experience in deploying and scaling web applications.

3. Strong Knowledge of Data Structures and Algorithms

Efficient problem-solving relies on a developer’s understanding of fundamental data structures and algorithms. Key areas include:

Lists, dictionaries, sets, and queues

Sorting, searching, and optimization techniques

A deep understanding of these concepts ensures that Python developers can write code that is both efficient and scalable, especially when dealing with large datasets or computationally intensive tasks.

4. Experience in Data Science and Machine Learning

As Python is the go-to language for data science and machine learning, a developer with expertise in this area is highly valuable. Look for experience with:

Data manipulation libraries like NumPy, Pandas, and SciPy

Machine learning libraries such as Scikit-learn

Knowledge of deep learning frameworks like TensorFlow or PyTorch

These skills are essential for companies working with large datasets, AI, or predictive models.

5. Cloud Computing Knowledge

As businesses continue to move toward cloud-based infrastructures, Python developers need to be skilled in working with cloud platforms like AWS, Google Cloud, and Microsoft Azure. Look for developers who have experience with:

Deploying applications on the cloud

Using cloud storage, databases, and serverless computing

Integrating with services like Kubernetes and Lambda for scalable solutions

Cloud computing expertise ensures that your Python applications are scalable and ready for deployment in modern cloud environments.

6. Proficiency in Version Control (Git)

Version control is an essential skill for modern development workflows. Developers should be comfortable with Git, including tasks like:

Branching and merging code

Resolving conflicts

Using platforms like GitHub or GitLab

Proficiency in version control is crucial for smooth collaboration and maintaining a clean, organized codebase.

7. Testing and Debugging Skills

A great Python developer should not only write code but also ensure it works as intended. Look for experience with:

Writing unit tests and performing integration tests using frameworks like PyTest and unittest

Debugging and optimizing code

Ensuring robustness by identifying performance bottlenecks and bugs

Effective testing and debugging save time, improve quality, and help developers deliver reliable software.

8. Understanding of Security Practices

With data breaches and security threats becoming more common, Python developers should be aware of security best practices. This includes:

Preventing common vulnerabilities like SQL injection, XSS, and CSRF

Implementing encryption, hashing, and secure API development

Ensuring data protection and compliance with security regulations

Security awareness is vital for keeping applications safe and maintaining trust with users.

9. Strong Communication and Collaboration Skills

While technical expertise is key, soft skills like communication and teamwork are just as important. A Python developer should be able to:

Explain complex technical concepts to non-technical stakeholders

Collaborate effectively with team members on code reviews and problem-solving

Contribute to team efforts and maintain positive relationships

Good communication ensures smooth project execution and fosters a collaborative work environment.

10. Adaptability and Commitment to Continuous Learning

The tech industry evolves rapidly, and the best developers are those who stay curious and adaptable. Look for developers who:

Stay updated on the latest Python tools, libraries, and technologies

Participate in communities, courses, and industry events

Adapt to new challenges and evolving project requirements

An adaptable developer ensures that your projects remain innovative and can quickly integrate the latest technologies as they emerge.

Conclusion

In 2025, Python remains one of the most popular and versatile programming languages, making it essential to hire developers who are not only proficient in Python but also well-versed in other crucial areas like web development, data science, cloud computing, and security. Soft skills such as communication, collaboration, and adaptability are equally important to ensure smooth project execution and team success.

At Jurysoft, we specialize in connecting businesses with top-tier Python developers who possess both the technical expertise and the collaborative mindset needed to succeed. Whether you need a developer for a short-term project or a long-term partnership, we can help you find the right talent to drive your business forward.

By focusing on these 10 key skills, you can ensure that your next Python developer will be equipped to help your organization thrive in 2025 and beyond.

[clearcatnet]

Top 10 Skills Every Azure Administrator Should Master for the AZ-104 Exam

The AZ-104 exam, also known as the Microsoft Azure Administrator Associate certification, validates your skills in managing cloud services that span storage, security, networking, and compute capabilities within Microsoft Azure. It's a critical milestone for IT professionals looking to establish or advance their career in cloud administration. To ace this certification, mastering certain key skills is essential. Here’s a comprehensive look at the top 10 skills every Azure Administrator should develop:

1. Understanding Azure Core Services

Before diving into complex tasks, ensure a solid grasp of Azure's core services. These include Virtual Machines (VMs), Azure Storage, Virtual Networks, and Azure Active Directory. Understanding the basics of these services will provide a strong foundation for solving real-world problems and configuring advanced solutions. Focus on:

Deploying and managing VMs

Setting up Azure Resource Manager (ARM) templates

Configuring Azure Blob, File, and Disk Storage

2. Resource Management and Governance

Azure administrators must manage subscriptions, resource groups, and tags effectively to optimize costs and maintain an organized cloud environment. Key skills include:

Creating and managing Azure policies

Using Role-Based Access Control (RBAC) to assign permissions

Configuring and monitoring Azure Monitor and Log Analytics

Proficiency in resource management ensures your Azure infrastructure stays organized and adheres to governance standards.

3. Virtual Networking

Networking is the backbone of Azure infrastructure. Administrators need to design, implement, and manage virtual networks effectively. Key topics to focus on include:

Configuring Virtual Network (VNet) peering

Managing network security groups (NSGs) and application security groups (ASGs)

Implementing site-to-site, point-to-site, and virtual private network (VPN) gateways

Additionally, understanding Azure DNS and load balancing solutions like Azure Load Balancer and Azure Application Gateway is crucial.

4. Identity and Access Management

Azure administrators must ensure secure access to Azure resources. This involves a deep understanding of Azure Active Directory (Azure AD). Key focus areas include:

Managing Azure AD users and groups

Configuring Azure Multi-Factor Authentication (MFA)

Implementing conditional access policies

Integrating Azure AD with on-premises Active Directory

Strong identity and access management skills help ensure that only authorized users can access critical resources.

5. Azure Storage Management

Storage is a critical aspect of Azure. Understanding how to manage data efficiently is vital. You should be skilled in:

Implementing Azure Storage accounts

Configuring blob, table, queue, and file storage

Managing backups and configuring storage replication options

Implementing Azure File Sync for hybrid environments

These skills will help you manage large amounts of data while ensuring availability and redundancy.

6. Backup and Disaster Recovery

Business continuity is essential for any organization. Azure provides robust backup and disaster recovery solutions, and administrators should know how to configure them. Key areas to master include:

Setting up Azure Backup and Recovery Services

Implementing Azure Site Recovery (ASR) for disaster recovery

Configuring backup policies and restoring data from backups

These skills will enable you to ensure data integrity and minimize downtime during outages.

7. Monitoring and Troubleshooting

A proactive approach to monitoring and troubleshooting ensures that potential issues are identified and resolved promptly. Key skills in this domain include:

Setting up and interpreting Azure Monitor metrics and logs

Configuring alerts for resource utilization

Using Azure Advisor for best practice recommendations

Diagnosing connectivity and performance issues

Effective monitoring minimizes downtime and improves system performance.

8. Implementing and Managing Hybrid Environments

Many organizations operate in a hybrid cloud environment. Azure administrators should understand how to integrate and manage these setups. Focus on:

Configuring Azure Arc for hybrid and multi-cloud scenarios

Implementing VPN or ExpressRoute for connectivity

Using Azure Active Directory Connect to synchronize on-premises and cloud directories

Hybrid management skills are increasingly important in today’s interconnected IT landscapes.

9. Automation Using PowerShell and CLI

Automation is key to efficient Azure management. Familiarity with scripting and command-line tools can save time and reduce errors. Key areas include:

Writing PowerShell scripts for common administrative tasks

Using Azure Command-Line Interface (CLI) for resource management

Implementing Infrastructure as Code (IaC) with ARM templates and Bicep

Configuring automation workflows with Azure Automation and Logic Apps

Automation ensures consistency and scalability in Azure deployments.

10. Security Management

Security is paramount in any cloud environment. Azure administrators must ensure their systems are secure from external threats. Key skills include:

Implementing Azure Security Center and Azure Defender

Managing Azure Key Vault for secrets and certificates

Configuring Just-In-Time VM access

Understanding firewalls, encryption, and network segmentation

A strong focus on security management helps protect sensitive data and applications.

Tips for Success in the AZ-104 Exam

Study Microsoft Documentation: Microsoft’s official documentation provides comprehensive guidance for each topic in the AZ-104 syllabus.

Use Practice Tests: Leverage practice exams to identify weak areas and build confidence.

Hands-On Practice: Use the Azure portal and Azure free tier to experiment with real-world scenarios.

Join a Study Group: Collaborating with peers can help clarify complex concepts and provide additional resources.

Mastering these skills not only helps you succeed in the AZ-104 exam but also prepares you for a rewarding career as an Azure Administrator. With cloud adoption growing rapidly, your expertise in Azure administration will be in high demand across industries.

[suhailms]

Top Azure Courses to Boost Your Cloud Skills

Microsoft Azure is one of the leading cloud platforms, and with the growing demand for cloud services, enhancing your skills in Azure can open up new career opportunities. Here are some of the best courses available for learning Azure, covering a variety of skill levels and areas of specialization.

Beginner-Level Azure Courses

Azure Fundamentals (AZ-900)

Platform: Microsoft Learn, Udemy, Pluralsight

Duration: 3-6 hours

Description: This course is perfect for anyone new to cloud computing and Microsoft Azure. It covers the basics, including Azure's core services, pricing, support options, and cloud concepts. Completing the AZ-900 certification exam will help you lay the foundation for further Azure learning.

Microsoft Azure for Beginners (AZ-900)

Platform: LinkedIn Learning, Udemy

Duration: 5-10 hours

Description: Another beginner-friendly course, this one provides an overview of Azure's cloud services, including virtual machines, networking, and databases. Great for anyone starting a career in cloud or IT infrastructure.

Azure Storage Fundamentals

Platform: Microsoft Learn, Pluralsight

Duration: 3-4 hours

Description: Dive into the storage services offered by Azure, including Azure Blob, Queue, and Table storage, along with Azure Files. This is an essential skill for anyone involved in cloud storage management.

Intermediate-Level Azure Courses

Azure Administrator (AZ-104)

Platform: Microsoft Learn, Udemy, Pluralsight

Duration: 15-30 hours

Description: This course is designed for Azure administrators who want to deepen their knowledge. Topics include managing Azure subscriptions, virtual machines, networking, and storage accounts. Passing the AZ-104 certification exam will solidify your administrative expertise.

Azure Solutions Architect (AZ-305)

Platform: Microsoft Learn, Pluralsight, A Cloud Guru

Duration: 20-40 hours

Description: Ideal for those aiming to design Azure solutions. This intermediate-level course teaches you to design infrastructure, integrate Azure solutions, and manage resources. It's a key course for future cloud architects.

Azure Networking Basics

Platform: Pluralsight, LinkedIn Learning

Duration: 5-10 hours

Description: For those interested in mastering Azure’s networking services, this course covers networking fundamentals like virtual networks, VPN gateways, and load balancers. It’s perfect for network engineers looking to pivot into cloud technologies.

Advanced-Level Azure Courses

Azure DevOps Solutions (AZ-400)

Platform: Microsoft Learn, Pluralsight, Udemy

Duration: 30-40 hours

Description: Designed for DevOps professionals, this course covers continuous integration, continuous delivery, and automation within Azure environments. You'll learn about tools like Azure DevOps Services, CI/CD pipelines, and version control using Git.

Azure Security Engineer (AZ-500)

Platform: Microsoft Learn, Pluralsight, Udemy

Duration: 25-40 hours

Description: If security is your focus, this advanced course is ideal. It provides deep insights into managing Azure security operations, protecting identities, and securing data in the cloud. Perfect for those preparing for the AZ-500 certification.

Azure AI Engineer (AI-102)

Platform: Microsoft Learn, A Cloud Guru

Duration: 20-30 hours

Description: Learn to design and implement AI solutions on Azure. This course dives into machine learning, natural language processing, and computer vision, providing the skills required for the AI-102 certification exam.

Specialized Azure Courses

Azure Data Engineer (DP-203)

Platform: Microsoft Learn, Udemy, A Cloud Guru

Duration: 30-50 hours

Description: For data professionals looking to work with Azure data services, this course covers data storage, data processing, and data security on Azure. The DP-203 certification is ideal for aspiring data engineers.

Azure IoT Developer (AZ-220)

Platform: Microsoft Learn, Pluralsight

Duration: 20-30 hours

Description: As the Internet of Things (IoT) grows, Azure offers powerful tools for IoT solutions. This course covers IoT architecture, device provisioning, and the Azure IoT Hub. It’s perfect for developers focused on building IoT applications on Azure.

Azure Kubernetes Service (AKS) Deep Dive

Platform: Pluralsight, Udemy

Duration: 10-20 hours

Description: Dive into containerization and orchestration with Azure Kubernetes Service. This course covers topics like deploying and scaling applications using AKS, managing Kubernetes clusters, and integrating with Azure services for seamless operations.

Conclusion

Whether you are starting your journey with Azure or looking to specialize in a specific domain, there’s a course for you. Microsoft offers a wide variety of learning paths tailored to your goals, from fundamental knowledge to advanced certifications. Choose a course based on your career interests and desired Azure expertise level. Happy learning!

[govindhtech]

What Is Azure Blob Storage? And Azure Blob Storage Cost

Microsoft Azure Blob Storage

Scalable, extremely safe, and reasonably priced cloud object storage

Incredibly safe and scalable object storage for high-performance computing, archiving, data lakes, cloud-native workloads, and machine learning.

What is Azure Blob Storage?

Microsoft’s cloud-based object storage solution is called Blob Storage. Massive volumes of unstructured data are best stored in blob storage. Text and binary data are examples of unstructured data, which deviates from a certain data model or specification.

Scalable storage and retrieval of unstructured data

Azure Blob Storage offers storage for developing robust cloud-native and mobile apps, as well as assistance in creating data lakes for your analytics requirements. For your long-term data, use tiered storage to minimize expenses, and scale up flexibly for tasks including high-performance computing and machine learning.

Construct robust cloud-native apps

Azure Blob Storage was designed from the ground up to meet the demands of cloud-native, online, and mobile application developers in terms of availability, security, and scale. For serverless systems like Azure Functions, use it as a foundation. Blob storage is the only cloud storage solution that provides a premium, SSD-based object storage layer for low-latency and interactive applications, and it supports the most widely used development frameworks, such as Java,.NET, Python, and Node.js.

Save petabytes of data in an economical manner

Store enormous volumes of rarely viewed or infrequently accessed data in an economical manner with automated lifecycle management and numerous storage layers. Azure Blob Storage can take the place of your tape archives, and you won’t have to worry about switching between hardware generations.

Construct robust data lakes

One of the most affordable and scalable data lake options for big data analytics is Azure Data Lake Storage. It helps you accelerate your time to insight by fusing the strength of a high-performance file system with enormous scalability and economy. Data Lake Storage is tailored for analytics workloads and expands the possibilities of Azure Blob Storage.

Scale out for billions of IoT devices or scale up for HPC

Azure Blob Storage offers the volume required to enable storage for billions of data points coming in from IoT endpoints while also satisfying the rigorous, high-throughput needs of HPC applications.

Features

Scalable, robust, and accessible

With geo-replication and the capacity to scale as needed, the durability is designed to be sixteen nines.

Safe and sound

Role-based access control (RBAC), Microsoft Entra ID (previously Azure Active Directory) authentication, sophisticated threat protection, and encryption at rest.

Data lake-optimized

Multi-protocol access and file namespace facilitate analytics workloads for data insights.

Complete data administration

Immutable (WORM) storage, policy-based access control, and end-to-end lifecycle management.

Integrated security and conformance

Complete security and conformance, integrated

Every year, Microsoft spends about $1 billion on cybersecurity research and development.

Over 3,500 security professionals who are committed to data security and privacy work for it.

Azure boasts one of the biggest portfolios of compliance certifications in the sector.

Azure Blob storage cost

Documents, films, images, backups, and other unstructured text or binary data can all be streamed and stored using block blob storage.

The most recent features are accessible through blob storage accounts, however they do not allow page blobs, files, queues, or tables. For the majority of users, general-purpose v2 storage accounts are advised.

Block blob storage’s overall cost is determined by:

Monthly amount of data kept.

Number and kinds of activities carried out, as well as any expenses related to data transfer.

The option for data redundancy was chosen.

Adaptable costs with reserved alternatives to satisfy your needs for cloud storage

Depending on how frequently you anticipate accessing the data, you can select from its storage tiers. Keep regularly accessed data in Hot, seldom accessed data in Cool and Cold, performance-sensitive data in Premium, and rarely accessed data in Archive. Save a lot of money by setting up storage space.

To continue building with the same free features after your credit, switch to pay as you go. Only make a payment if your monthly usage exceeds your free amounts.

You will continue to receive over fifty-five services at no cost after a year, and you will only be charged for the services you utilize above your monthly allotment.

Read more on Govindhtech.com

[azuretrainingsin]

Azure Storage Plays The Same Role in Azure 

Azure Storage is an essential service within the Microsoft Azure ecosystem, providing scalable, reliable, and secure storage solutions for a vast range of applications and data types. Whether it's storing massive amounts of unstructured data, enabling high-performance computing, or ensuring data durability, Azure Storage is the backbone that supports many critical functions in Azure.

Understanding Azure Storage is vital for anyone pursuing Azure training, Azure admin training, or Azure Data Factory training. This article explores how Azure Storage functions as the central hub of Azure services and why it is crucial for cloud professionals to master this service.

The Core Role of Azure Storage in Cloud Computing

Azure Storage plays a pivotal role in cloud computing, acting as the central hub where data is stored, managed, and accessed. Its flexibility and scalability make it an indispensable resource for businesses of all sizes, from startups to large enterprises.

Data Storage and Accessibility: Azure Storage enables users to store vast amounts of data, including text, binary data, and large media files, in a highly accessible manner. Whether it's a mobile app storing user data or a global enterprise managing vast data lakes, Azure Storage is designed to handle it all.

High Availability and Durability: Data stored in Azure is replicated across multiple locations to ensure high availability and durability. Azure offers various redundancy options, such as Locally Redundant Storage (LRS), Geo-Redundant Storage (GRS), and Read-Access Geo-Redundant Storage (RA-GRS), ensuring data is protected against hardware failures, natural disasters, and other unforeseen events.

Security and Compliance: Azure Storage is built with security at its core, offering features like encryption at rest, encryption in transit, and role-based access control (RBAC). These features ensure that data is not only stored securely but also meets compliance requirements for industries such as healthcare, finance, and government.

Integration with Azure Services: Azure Storage is tightly integrated with other Azure services, making it a central hub for storing and processing data across various applications. Whether it's a virtual machine needing disk storage, a web app requiring file storage, or a data factory pipeline ingesting and transforming data, Azure Storage is the go-to solution.

Azure Storage Services Overview

Azure Storage is composed of several services, each designed to meet specific data storage needs. These services are integral to any Azure environment and are covered extensively in Azure training and Azure admin training.

Blob Storage: Azure Blob Storage is ideal for storing unstructured data such as documents, images, and video files. It supports various access tiers, including Hot, Cool, and Archive, allowing users to optimize costs based on their access needs.

File Storage: Azure File Storage provides fully managed file shares in the cloud, accessible via the Server Message Block (SMB) protocol. It's particularly useful for lifting and shifting existing applications that rely on file shares.

Queue Storage: Azure Queue Storage is used for storing large volumes of messages that can be accessed from anywhere in the world. It’s commonly used for decoupling components in cloud applications, allowing them to communicate asynchronously.

Table Storage: Azure Table Storage offers a NoSQL key-value store for rapid development and high-performance queries on large datasets. It's a cost-effective solution for applications needing structured data storage without the overhead of a traditional database.

Disk Storage: Azure Disk Storage provides persistent, high-performance storage for Azure Virtual Machines. It supports both standard and premium SSDs, making it suitable for a wide range of workloads from general-purpose VMs to high-performance computing.

Azure Storage and Azure Admin Training

In Azure admin training, a deep understanding of Azure Storage is crucial for managing cloud infrastructure. Azure administrators are responsible for creating, configuring, monitoring, and securing storage accounts, ensuring that data is both accessible and protected.

Creating and Managing Storage Accounts: Azure admins must know how to create and manage storage accounts, selecting the appropriate performance and redundancy options. They also need to configure network settings, including virtual networks and firewalls, to control access to these accounts.

Monitoring and Optimizing Storage: Admins are responsible for monitoring storage metrics such as capacity, performance, and access patterns. Azure provides tools like Azure Monitor and Application Insights to help admins track these metrics and optimize storage usage.

Implementing Backup and Recovery: Admins must implement robust backup and recovery solutions to protect against data loss. Azure Backup and Azure Site Recovery are tools that integrate with Azure Storage to provide comprehensive disaster recovery options.

Securing Storage: Security is a top priority for Azure admins. This includes managing encryption keys, setting up role-based access control (RBAC), and ensuring that all data is encrypted both at rest and in transit. Azure provides integrated security tools to help admins manage these tasks effectively.

Azure Storage and Azure Data Factory

Azure Storage plays a critical role in the data integration and ETL (Extract, Transform, Load) processes managed by Azure Data Factory. Azure Data Factory training emphasizes the use of Azure Storage for data ingestion, transformation, and movement, making it a key component in data workflows.

Data Ingestion: Azure Data Factory often uses Azure Blob Storage as a staging area for data before processing. Data from various sources, such as on-premises databases or external data services, can be ingested into Blob Storage for further transformation.

Data Transformation: During the transformation phase, Azure Data Factory reads data from Azure Storage, applies various data transformations, and then writes the transformed data back to Azure Storage or other destinations.

Data Movement: Azure Data Factory facilitates the movement of data between different Azure Storage services or between Azure Storage and other Azure services. This capability is crucial for building data pipelines that connect various services within the Azure ecosystem.

Integration with Other Azure Services: Azure Data Factory integrates seamlessly with Azure Storage, allowing data engineers to build complex data workflows that leverage Azure Storage’s scalability and durability. This integration is a core part of Azure Data Factory training.

Why Azure Storage is Essential for Azure Training

Understanding Azure Storage is essential for anyone pursuing Azure training, Azure admin training, or Azure Data Factory training. Here's why:

Core Competency: Azure Storage is a foundational service that underpins many other Azure services. Mastery of Azure Storage is critical for building, managing, and optimizing cloud solutions.

Hands-On Experience: Azure training often includes hands-on labs that use Azure Storage in real-world scenarios, such as setting up storage accounts, configuring security settings, and building data pipelines. These labs provide valuable practical experience.

Certification Preparation: Many Azure certifications, such as the Azure Administrator Associate or Azure Data Engineer Associate, include Azure Storage in their exam objectives. Understanding Azure Storage is key to passing these certification exams.

Career Advancement: As cloud computing continues to grow, the demand for professionals with expertise in Azure Storage increases. Proficiency in Azure Storage is a valuable skill that can open doors to a wide range of career opportunities in the cloud industry.

Conclusion

Azure Storage is not just another service within the Azure ecosystem; it is the central hub that supports a wide array of applications and services. For anyone undergoing Azure training, Azure admin training, or Azure Data Factory training, mastering Azure Storage is a crucial step towards becoming proficient in Azure and advancing your career in cloud computing.

By understanding Azure Storage, you gain the ability to design, deploy, and manage robust cloud solutions that can handle the demands of modern businesses. Whether you are a cloud administrator, a data engineer, or an aspiring Azure professional, Azure Storage is a key area of expertise that will serve as a strong foundation for your work in the cloud.

[sergey-tihon]

F# Weekly #29, 2024 - end of .NET 6 and Terrabuild

Welcome to F# Weekly, A roundup of F# content from this past week: News ILSpy for macOS: First Public Beta Release .NET 6 will reach End of Support on November 12, 2024 – .NET Blog .NET 9 Preview 6 is now available! – .NET Blog Introducing CoreWCF and WCF Client Azure Queue Storage bindings for .NET – .NET Blog OpenAI’s fastest model, GPT-4o mini is now available on Azure AI | Microsoft…

[persistentsystems]

Windows Azure and Java: Working with Blob Storage

Windows Azure Blobs are part of the Windows Azure Storage service, along with Queues and Tables. Windows Azure Blob Storage can store large amounts of data such as videos, audio, and images.

[hawkstack]

🚀 Why You Should Choose "Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370)" for Your Next Career Move

In today’s cloud-native world, Kubernetes is the gold standard for container orchestration. But when it comes to managing persistent storage for stateful applications, things get complex — fast. This is where Red Hat OpenShift Data Foundation (ODF) comes in, providing a unified and enterprise-ready solution to handle storage seamlessly in Kubernetes environments.

If you’re looking to sharpen your Kubernetes expertise and step into the future of cloud-native storage, the DO370 course – Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation is your gateway.

🎯 Why Take the DO370 Course?

Here’s what makes DO370 not just another certification, but a career-defining move:

1. Master Stateful Workloads in OpenShift

Stateless applications are easy to deploy, but real-world applications often need persistent storage — think databases, logging systems, and message queues. DO370 teaches you how to:

Deploy and manage OpenShift Data Foundation.

Use block, file, and object storage in a cloud-native way.

Handle backup, disaster recovery, and replication with confidence.

2. Hands-On Experience with Real-World Use Cases

This is a lab-heavy course. You won’t just learn theory — you'll work with scenarios like deploying storage for Jenkins, MongoDB, PostgreSQL, and more. You'll also learn how to scale and monitor ODF clusters for production-ready deployments.

3. Leverage the Power of Ceph and NooBaa

Red Hat OpenShift Data Foundation is built on Ceph and NooBaa. Understanding these technologies means you’re not only skilled in OpenShift storage but also in some of the most sought-after open-source storage technologies in the market.

💡 Career Growth and Opportunities

🔧 DevOps & SRE Engineers

This course bridges the gap between developers and infrastructure teams. As storage becomes software-defined and container-native, DevOps professionals need this skill set to stay ahead.

🧱 Kubernetes & Platform Engineers

Managing platform-level storage at scale is a high-value skill. DO370 gives you the confidence to run stateful applications in production-grade Kubernetes.

☁️ Cloud Architects

If you're designing hybrid or multi-cloud strategies, you’ll learn how ODF integrates across platforms — from bare metal to AWS, Azure, and beyond.

💼 Career Advancement

Red Hat certifications are globally recognized. Completing DO370:

Enhances your Red Hat Certified Architect (RHCA) portfolio.

Adds a high-impact specialization to your résumé.

Boosts your value in organizations adopting OpenShift at scale.

🚀 Future-Proof Your Skills

Organizations are moving fast to adopt cloud-native infrastructure. And with OpenShift being the enterprise Kubernetes leader, having deep knowledge in managing enterprise storage in OpenShift is a game-changer.

As applications evolve, storage will always be a critical component — and skilled professionals will always be in demand.

📘 Final Thoughts

If you're serious about growing your Kubernetes career — especially in enterprise environments — DO370 is a must-have course. It's not just about passing an exam. It's about:

✅ Becoming a cloud-native storage expert ✅ Understanding production-grade OpenShift environments ✅ Standing out in a competitive DevOps/Kubernetes job market

👉 Ready to dive in? Explore DO370 and take your skills — and your career — to the next level.

For more details www.hawkstack.com

[talent2connect]

How to Manage Your Azure Storage Resources with Azure Storage Explorer

Azure Storage is a cloud service that provides scalable, durable, and highly available storage for your data. You can use Azure Storage to store and access blobs, files, queues, tables, and disks. However, managing your Azure storage resources can be challenging if you don’t have the right tools.

That’s why Microsoft offers Azure Storage Explorer, a free and cross-platform application that lets you easily work with your Azure Storage data on Windows, macOS, and Linux. With Azure Storage Explorer, you can:

Upload, download, and copy blobs, files, queues, tables, and disks

Create snapshots and backups of your disks

Migrate data from on-premises to Azure or across Azure regions

Manage access policies and permissions for your resources

Monitor and troubleshoot your storage performance and issues

In this article, we will show you how to get started with Azure Storage Explorer and how to use it to manage your Azure storage resources.

Download and Install Azure Storage Explorer

To download and install Azure Storage Explorer, follow these steps:

Go to the Azure Storage Explorer website and select the download link for your operating system.

Run the installer and follow the instructions to complete the installation.

Launch Azure Storage Explorer from your desktop or start menu.

Connect to Your Azure Storage Account or Service

To connect to your Azure storage account or service, you have two options:

Sign in to your Azure account and access your subscriptions and resources

Attach to an individual resource using a connection string, a shared access signature (SAS), or an Azure Active Directory (Azure AD) credential

To sign in to your Azure account, follow these steps:

In Azure Storage Explorer, select View > Account Management or select the Manage Accounts button.

Select Add an account and choose the Azure environment you want to sign in to.

A web page will open for you to sign in with your Azure account credentials.

After you sign in, you will see your account and subscriptions under ACCOUNT MANAGEMENT.

Select the subscriptions you want to work with and select Apply.

You will see the storage accounts associated with your selected subscriptions under EXPLORER.

To attach to an individual resource, follow these steps:

In Azure Storage Explorer, select Connect or select the Connect to Azure Storage button.

Select Use a connection string or a shared access signature URI or Use a storage account name and key or Sign in using Azure Active Directory (Azure AD) depending on the type of credential you have.

Enter the required information for your credential type and select Next.

Enter a display name for the resource and select Next.

You will see the resource under Local & Attached > Storage Accounts.

Manage Your Azure Storage Resources

Once you have connected to your Azure storage account or service, you can start managing your resources using Azure Storage Explorer. Here are some of the common tasks you can perform:

To upload or download blobs or files, right-click on a container or a file share and select Upload or Download. You can also drag and drop files from your local machine to a container or a file share.

To copy blobs or files between different accounts or services, right-click on a blob or a file and select Copy URL. Then go to the destination container or file share and select Paste Blob or Paste File.

To create snapshots of your disks, right-click on a disk and select Create Snapshot. You can also restore a disk from a snapshot by selecting Restore Disk from Snapshot.

To migrate data from on-premises to Azure or across Azure regions, use the AzCopy tool that is integrated with Azure Storage Explorer. You can access it by selecting Edit > Copy AzCopy Command.

To manage access policies and permissions for your resources, right-click on a resource and select Manage Access Policies or Manage Access Control Lists (ACLs). You can also use the role-based access control (RBAC) feature of Azure AD to grant permissions to users and groups.

To monitor and troubleshoot your storage performance and issues, use the metrics and logs features of Azure Monitor that are integrated with Azure Storage Explorer. You can access them by selecting View > Metrics or View > Logs.

Understand Your Azure Storage Costs

Azure Storage offers different pricing options for different types of services and usage scenarios. You can use the Azure pricing calculator to estimate your costs based on your expected usage.

Some of the factors that affect your Azure storage costs are:

The type of storage account you choose (standard or premium)

The redundancy option you choose (locally redundant, zone redundant, geo-redundant, or geo-zone redundant)

The performance tier you choose (hot, cool, or archive)

The amount of data you store and the number of transactions you perform

The data transfer and network fees for moving data in and out of Azure

To optimize your Azure storage costs, you can use the following best practices:

Choose the right storage account type, redundancy option, and performance tier for your workload requirements and availability needs

Use lifecycle management policies to automatically move your data to lower-cost tiers based on your access patterns

Use reserved capacity to save money on predictable storage usage for one or three years

Use Azure Hybrid Benefit to save money on storage costs for Windows Server virtual machines

Monitor your storage usage and costs using Azure Cost Management and Billing

Conclusion

Azure Storage Explorer is a powerful and convenient tool that helps you manage your Azure storage resources. You can use it to upload, download, copy, backup, migrate, and secure your data. You can also use it to monitor and troubleshoot your storage performance and issues. Moreover, you can use it to understand and optimize your Azure storage costs.

[heartcentrictech]

Let's talk about technology folks👩🏻‍💻 I'm very interested in Cloud Technology☁️ lately and very inspired about what Microsoft Azure brings in the market🥰 You already realize everything is turned out to be online. Therefore, web based applications are highly demanded these days. Due to high volume of traffic, it's challenging to keep applications available and responsive with a high performance💁‍♀️ I want to talk about message queue for those who are interested and techie🦸‍♀️ A message💌 queue is a queue of messages sent between applications. It includes a sequence of work objects that are waiting to be processed. Message queues📨 can be used to decouple heavyweight processing, to scale up easily and to provide loose connectivity among various components. Azure Storage Queue is advised to when following are concern; 💭Async communication 💭Passing messages from an Azure Web role to an Azure worker role 💭Load Leveling 💭Load Balancing 💭Temporal Decoupling 💭Loose coupling Comment below what technologies you are currently working with🦋 or what technologies make you inspired🎊 Looking forward to hearing your thoughts✨ Always with passion🔥

[stefanoscloud]

Azure storage design considerations

Introduction

When planning for the deployment or migration to any Azure storage type, there are a number of design factors to take into account. The current post lists Azure Storage design considerations and can be used as a design guide by Azure architects and pre-sales engineers when designing Azure storage solutions.

Azure storage account types

The first step of your Azure storage design considerations when choosing storage for your solution, is to review your infrastructure and application requirements and choose the proper storage types. Azure offers the following storage types as of late February 2023. Azure storage account types - Blob (using containers) - Azure files (SMB file shares) - Table - Queue For more details on the available relational and non-relational data types in Azure, refer to the Azure DP-900 certification exam curriculum at: https://stefanos.cloud/blog/microsoft-dp-900-certification-exam-study-guide/.

Performance options

When provisioning a new Azure storage account, the following general options are available for performance. This setting cannot be changed after storage account creation. - Standard (general purpose V2) - Premium (for low latency scenarios)

Security options

The following security options can be set for any Azure storage account. - Require secure transfer for REST API operations - Allow enabling public access on containers. Blob containers, by default, do not permit public access to their content. This setting allows authorized users to selectively enable public access on specific containers. You can use Azure policy to audit this setting or prevent this setting from being enabled. - Enable storage account key access - Default to Azure Active Directory authorization in the Azure portal - Minimum TLS version - Permitted scope for copy operations

Access tiers

The following access tiers are available and only applicable to blob data: - Hot (online) - Cool (online) - Archive (offline). The archive access tier is not an available option during storage account resource creation. The archive tier is an offline tier for storing data that is rarely accessed. The archive access tier has the lowest storage cost. However, this tier has higher data retrieval costs with a higher latency as compared to the hot and cool tiers.

Region and zone placement

In some cases, a storage account can be provisioned at an Azure Edge zone. More information about Azure public multi-access edge compute (MEC) can be found at https://azure.microsoft.com/en-us/solutions/public-multi-access-edge-compute-mec/#overview.

Redundancy options

Redundancy relates to the way each storage account is being synced to other Azure zones and regions to achieve high availability. The following Azure storage redundancy options are available. - LRS. Locally-redundant storage. Suitable for non-critical scenarios. - GRS. Geo-redundant storage. Recommended for backup scenarios. - ZRS. Zone-redundant storage. Recommended for high availability scenarios. - GZRS. Geo-zone redundant storage. Includes the offerings and benefits of both GRS and ZRS. - RA-GRS. This option is a variation of the GRS option with the addition of the "Make read access to data available in the event of regional unavailability" option. - RA-GZRS. This option is a variation of the GZRS option with the addition of the "Make read access to data available in the event of regional unavailability" option. Depending on your chosen redundancy option, you shall have different options available under the Data Management --> Redundancy blade of the storage account in the Azure portal, as shown in the example below.

Network connectivity and network routing options

The following network connectivity and network routing options are available for Azure storage accounts. - Network connectivity. You can connect to your storage account either publicly, via public IP addresses or service endpoints, or privately, using a private endpoint. - Network routing. Determine how to route your traffic as it travels from the source to its Azure endpoint. Microsoft network routing is recommended for most customers.

Data protection

The following data protection options can be configured for an Azure storage account. Recovery Point-in-time restore and hierarchical namespace cannot be enabled simultaneously. Also versioning and hierarchical namespace cannot be enabled simultaneously. When point-in-time restore is enabled, versioning, blob change feed and blob soft delete are also enabled. The retention periods for each of these features must be greater than that of point-in-time restore, if applicable. Tracking Access control

Encryption options

The following encryption options can be used for any Azure account.

Other Azure storage configuration options

The following additional options can be set during Azure storage account creation. There are dependencies between various options, in that some options cannot be enabled if a combination of other options is selected. - Enable hierarchical namespace. The Data Lake Storage Gen2 hierarchical namespace accelerates big data analytics workloads and enables file-level access control lists (ACLs). - Enable SFTP. Requires hierarchical namespace. - Enable network file system v3. Enables the Network File System Protocol for your storage account that allows users to share files across a network. This option must be set during storage account creation. - Allow cross-tenant replication. Cross-tenant replication and hierarchical namespace cannot be enabled simultaneously. Allow object replication to copy blobs to a destination account on a different Azure Active Directory (Azure AD) tenant. Not enabling cross-tenant replication will limit object replication within the same Azure AD tenant. - Enable large file shares. Provides file share support up to a maximum of 100 TiB. Large file share storage accounts do not have the ability to convert to geo-redundant storage offerings and upgrade is permanent. This option cannot be changed after storage account creation.

External access options

The "Networking" blade in the Azure portal provides the following options for connecting to an Azure storage account. Public network access This decides whether public access will be enabled or not and if yes, from which networks and IP addresses. If no, access to the storage account will only be available via private endpoint connections (maximum security). Resource instances and network routing This decides which Azure resource types will have access to the storage account and how traffic will be routed from the external endpoint to the Azure storage account. The "Access Keys", "Shared Access Signature (SAS)" and "Lifecycle management" blades in the Azure portal dictate how external access will be provisioned and how Azure storage account data will be preserved or disposed of, as per predefined policy metrics. Access keys and corresponding connection strings A shared access signature (SAS) is a URI that grants restricted access rights to Azure Storage resources. You can provide a shared access signature to clients who should not be trusted with your storage account key but whom you wish to delegate access to certain storage account resources. By distributing a shared access signature URI to these clients, you grant them access to a resource for a specified period of time. An account-level SAS can delegate access to multiple storage services (i.e. blob, file, queue, table). Note that stored access policies are currently not supported for an account-level SAS. Shared Access Signature (SAS) options include connection string, SAS token and SAS URL for each of the available storage types (blog, file, table, queue)

Data migration options

There are a variety of Azure data transfer solutions available for customers. In the Azure portal under the "Data Migration" blade, select the resource type and transfer scenario, based on which the Azure portal wizard will guide you to the solution that best fits your scenario. Please note that the data transfer rate you observe is impacted by the size and number of files in the transfer, as well as your infrastructure performance and network utilization by other applications. An example of the data migration wizard is shown below. The most notable tools for migrating data to Azure storage accounts are the following: - Azure AzCopy - Azure Powershell - Azure CLI - Azure Data Factory - Azure Storage in the Azure portal - Azure Storage Explorer - Azure Storage REST API/SDK - Azure Data Box - Azure Data Box Disk - Azure File Sync Read the full article