Azure Blob Storage SDK Features

Azure Blob Storage SDK: Overview & Main Features

Demystifying the Main Features of Azure Blob Storage SDK

Overview

If you need to store and access a considerable amount of unstructured data, Azure Blob Storage is the perfect solution. Azure Blob Storage SDK is a set of libraries that enable you to interact with Azure Blob Storage programmatically using various languages and platforms.

Azure Blob Storage SDK Features

In this blog post, we will explain the main features and how it can help you simplify your development process and optimize your performance.

Data Protection and Encryption

Supports data protection and encryption features that help you secure your data at rest and in transit. You can use client-side encryption to encrypt your data before sending it to Azure Blob Storage using your encryption keys. Secure your data using either Microsoft-managed or customer-managed keys for encryption. Additionally, you can use Azure Key Vault to store and manage your encryption keys securely.

Data Movement and Performance Optimization

Offers secure data transfer with optimized performance. To expedite your data transfer, try utilizing parallel uploads and downloads. This involves dividing your data into several parts and sending them simultaneously. Additionally, you can utilize resumable uploads and downloads to pick up where you left off in the event of network disruptions. To further minimize bandwidth usage, consider using incremental snapshots and differential downloads which only transfer changes since the last snapshot.

Data Analysis and Processing

You can benefit from various data analysis and processing tools to extract valuable insights from your data and perform necessary transformations. Use query acceleration to run SQL queries directly on your blobs without having to download or process them first. Also, use the change feed to track the changes made to your blobs over time and trigger actions based on them. Moreover, you can use blob index tags to add metadata to your blobs and filter them based on custom criteria.

Azure Blob Storage SDK: Conclusion

In summary, Azure Blob Storage SDK is a powerful and flexible tool that enables you to work with Azure Blob Storage in various languages and platforms. It provides a rich set of features and options that allow you to customize your storage operations according to your needs and preferences.

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June 20, 2023 Azure - June 2023, Azure - What's New No comments yet
Azure Blob Storage SDK Benefits

Azure Blob Storage SDK Benefits: Explained

Unlocking the Power of Azure Blob Storage SDK Benefits for Your Business

Azure Blob Storage SDK Benefits: Overview

Azure Blob Storage is a cloud service that allows you to store large amounts of unstructured data, such as images, videos, documents, and logs. You can access your data from anywhere using HTTP or HTTPS protocols, and you can manage your data using the Azure portal, Azure CLI, PowerShell, or REST APIs.

What if you want to interact with your data programmatically using your preferred programming language? That’s where the Azure Blob Storage SDK benefits come in. The SDK library provides a convenient and consistent way to perform common operations on blobs, such as creating, deleting, uploading, downloading, copying, and listing.

In this article, we will explore some of the key benefits of the Azure Blob Storage SDK and how it can help you simplify your development process and optimize your performance.

Azure Blob Storage SDK Benefits

Support for Multiple Languages and Platforms

The Azure Blob Storage SDK supports various languages and platforms, such as .NET, Java, Python, Node.js, Go, Ruby, PHP, and C++. This means you can use the SDK with your existing code base and tools, and you can leverage the features and libraries of your chosen language. You can also use the SDK across different operating systems and environments, such as Windows, Linux, macOS, Android, iOS, and web browsers.

Consistent and Intuitive API Design

The Azure Blob Storage SDK follows a consistent and intuitive API design across all languages and platforms. The SDK uses object-oriented concepts to model the blob storage hierarchy, such as containers, blobs, and leases. The SDK also provides methods and properties that correspond to the REST API operations and parameters. For example, you can use the `Create` method to create a container or a blob, the `Delete` method to delete a container or a blob, the `Upload` method to upload data to a blob, and the `Download` method to download data from a blob.

High-level Abstractions and Convenience Methods

The Azure Blob Storage SDK also provides high-level abstractions and convenience methods that simplify common tasks and scenarios. For example, you can use the `BlobClient` class to perform operations on a single blob without having to specify the container name or the blob name every time. You can also use the `BlobServiceClient` class to perform operations on the entire blob service without having to create individual clients for each container or blob.

The SDK also offers convenience methods that handle complex or multipart operations for you. For example, you can use the `UploadFromUri` method to copy data from one blob to another in a single call, or you can use the `UploadFromStream` method to upload data from a stream source without having to specify the blob size or type.

Conclusion

The Azure Blob Storage SDK is a powerful and versatile tool that enables you to work with your blob data programmatically using your preferred language and platform. The SDK offers many benefits and features that can help you simplify your development process, optimize your performance, secure your data, and analyze your data. You can start with the SDK by following the documentation and samples for your language and platform of choice.

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June 20, 2023 Azure - June 2023, Azure - What's New No comments yet
AgilizTech's 8th Anniversary

AgilizTech’s 8th Anniversary Celebration

Embracing Progress: AgilizTech’s 8th Anniversary Celebration

What a wonderful way to commemorate AgilizTech’s 8th Anniversary on June 9, 2023! The festivities commenced with a delightful High Tea event and a vibrant Cake Cutting ceremony, setting the tone for an unforgettable day.

8th Anniversary Planning and Preparation 

Archana MV, the Head of Human Resources and Operations, alongside her dedicated team, hosted the event with immense enthusiasm, with a remarkable High Tea event and a lively Cake Cutting ceremony. Their meticulous planning and attention to detail ensured that every moment of the celebration was filled with joy and excitement.  Their enthusiasm and attention to detail were evident in every aspect of celebration, creating an atmosphere of joy and appreciation.

Employees’ Interaction with Mr. Ganesh

To ignite a sense of enthusiasm and inspire success in the realm of AI and ML, Mr. Ganesh – our MD and CEO engaged in an interactive conversation with the employees. During this insightful session, he also shared the latest advancements in AI and ML and stressed the significance of continuous learning through AI Prompts. This emphasis on upskilling and staying abreast of evolving trends and technologies was met with great enthusiasm from the employees.

The interactive session also provided a platform for employees to ask questions about future challenges on ChatGPT, AI and ML. Mr. Ganesh reassured everyone that while challenges may arise, embracing technology like ChatGPT is vital. He highlighted the importance of leveraging AI prompts effectively to expedite work processes and enhance productivity.

High Tea, Cake Cutting and Entertainment

Following the enriching conversation, Mr. Ganesh, the MD and CEO, lit a candle as a symbol of gratitude. He extended warm wishes to each and every employee for their contributions to another successful year. The celebration continued with the indulgence of delectable cakes and snacks, further enhancing the festive atmosphere.

AgilizTech's 8th Anniversary

Gratefulness and Sincere Wishes

Furthermore, the senior employees took this momentous occasion to express their heartfelt gratitude to Mr. Ganesh for his invaluable guidance throughout their journey at AgilizTech. The new joiners also shared their excitement and gratitude for being part of such a dynamic and supportive organization.

The festivities didn’t end there! The evening was lively entertainment, including uplifting songs, jokes, and captivating stories. The laughter and joy resonated through the venue, creating a truly delightful ambiance that brought everyone together.

Sumptuous Buffet Dinner

As the night progressed, the celebration moved to a sumptuous dinner awaited. The buffet spread was nothing short of mouthwatering, leaving everyone satisfied and content. The occasion provided numerous opportunities to capture joyous memories, as selfies and group photos were taken to immortalize shared moments.

AgilizTech's 8th Anniversary

The celebration became even more exciting with the addition of Mathan’s birthday.

AgilizTech's 8th Anniversary

Overall, the festivities served as a splendid kick-off to the weekend, filled with happiness, togetherness, and a genuine sense of appreciation. Events like these remind us of our collective strength and inspire us to reach even greater heights in the years to come.

AgilizTech's 8th Anniversary

AgilizTech’s 8th Anniversary, Many More Years to Come

As Friday night came to a close, it left behind cherished memories of a truly remarkable 8th-anniversary celebration at AgilizTech. Here’s to many more years of success, growth, and continued happiness!

June 14, 2023 Awards & Celebrations No comments yet
Unlocking Connectivity: A Guide to Resetting Network Interfaces for Azure VMs

Reset Network Interface for Azure VM: Steps

Learn to Reset the Network Interface of Azure VM

Overview

The presence of a network interface (NIC) empowers an Azure virtual machine (VM) to establish connections with internet, Azure, and on-premises resources. When you create a VM using the Azure portal, a default NIC is automatically assigned to it. However, you have the flexibility to craft NICs with personalized configurations and attach them to a VM at the time of creation or even afterwards. Furthermore, you retain the ability to modify settings for any existing NIC, granting you full control over your VM’s networking capabilities.

But, have you ever found yourself in a perplexing situation where your connection to an Azure Windows VM mysteriously vanished after a routine reboot? Imagine your Windows Server on Azure working flawlessly, only to lose connectivity following a Microsoft-scheduled reboot or an advisor recommendation. What would you do in such a predicament?

Fear not, for there is a solution! Follow the given steps to reset your Network Interface for Azure Windows VMs using the Azure Portal.

Steps to Reset Network Interface

  1. Sign in to the Azure portal.
  2. Choose the required Virtual Machine.
  3. In the left pane, under Settings, choose Networking and then choose Network Interface.
  4. In the left pane, under Settings, choose IP Configurations.

The IP configurations pane appears.

Reset Network Interface

  1. Choose the IP.
  2. Under the Private IP address settings, if the Assignment is Dynamic, change it to Static.
  3. In the IP address box, enter a different IP address available in the Subnet.

Reset Network Interface

The virtual machine restarts to initialize the new NIC to the system.

  1. Try to Remote desktop to the machine you changed.

You should be able to successfully RDP. If you want, change the private IP address back to previous one or you can go with the new IP address.

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June 13, 2023 Microsoft Azure No comments yet
Enhancing Content Safety: Unveiling the Advantages of Azure AI Content Safety

Azure AI Content Safety: Securing User Experiences

Leveraging Azure AI Content Safety: Key Benefits and Features

Azure AI Content Safety Overview

Azure AI Content Safety comprises a suite of cloud-based services that utilize artificial intelligence (AI) and machine learning (ML). These services provide content safety solutions for various scenarios and domains. Ensuring content safety is crucial for online platforms that enable users to generate, distribute, or access content. Content safety involves identifying and regulating harmful or unsuitable content, such as hate speech, vulgar language, nudity, violent content, spam, phishing, malware, etc. It can help protect users from exposure to harmful content and safeguard platforms from legal, regulatory, or reputational risks.

The suite offers the following services:

  • Text Analytics for Content Safety: This service analyzes text content and returns a score indicating the likelihood of the text containing potentially harmful or inappropriate language. The service can also identify harmful language categories and subcategories, such as personal attacks, sexual harassment, discrimination, profanity, etc. Users can customize the service to suit their domains and use cases.
  • Computer Vision for Content Safety: This service analyzes image and video content and returns a score indicating the likelihood of the content containing potentially harmful or inappropriate visual elements. The service can also identify harmful element categories and subcategories, such as adult, racy, gore, medical, etc. It supports various image and video formats and can be customized to suit specific domains and use cases.
  • Custom Content Safety: Users can build their custom models for content safety using Azure Machine Learning. They can utilize their data and labels to train and deploy custom models capable of detecting and moderating specific types of harmful or inappropriate content not covered by existing services.

How Azure AI Content Safety Works

Azure AI Content Safety applies advanced AI and ML techniques to analyze and classify content based on predefined or custom criteria. The services utilize deep neural networks to learn from extensive data and extract relevant features for content safety. They also employ natural language processing (NLP) and computer vision (CV) techniques to understand the meaning and context of the content.

The services expose REST APIs, allowing users to send content-related requests and receive responses containing content safety scores and labels. SDKs and client libraries for various programming languages simplify integration with existing applications. You can configure the services to suit different scenarios and domains using parameters such as language, domain-specific terms, custom models, etc.

Benefits

The services provide several benefits for users seeking to implement content safety solutions:

  • Scalability: Users can handle large volumes of content and requests with high performance and reliability. The services automatically scale up or down based on demand and traffic.
  • Accuracy: The services offer high accuracy and precision in detecting and moderating harmful or inappropriate content. They constantly update and improve with new data and models for the best results.
  • Customizability: Users can customize the services to fit different scenarios and domains. They can adjust parameters like language, domain-specific terms and use their data and labels to train and deploy custom models for specific content types.
  • Compliance: With Azure AI Content Safety, users can ensure compliance with legal and regulatory requirements related to content safety. The services adhere to the highest standards of security, privacy, and the principles of the Microsoft Trust Center.

Conclusion

Azure AI Content Safety is a cloud-based service suite that provides content safety solutions for various domains and scenarios. The services leverage AI and ML to analyze and moderate potentially harmful or inappropriate text, image, and video content. Users can benefit from the scalability, accuracy, customizability, and compliance features when implementing platform content safety solutions.

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June 13, 2023 Azure - What's New No comments yet
Efficient Resource Optimization: How Azure Resource Visualizer Enables Streamlined Resource Utilization

Why Azure Resource Visualizer is Essential?

Why Azure Resource Visualizer is a Valuable Tool

Overview

Azure’s Resource Visualizer is an innovative feature seamlessly integrated into the Azure portal. It enables you to access it effortlessly through the settings of any Resource Group. You can swiftly generate a diagram encompassing all the resources within the selected resource group.

Azure Resource Visualizer

How Azure Resource Visualizer Helps

With Resource Visualizer, you can:

  • Visual Representation: The Resource Visualizer provides a graphical representation of your Azure resources. This allows you to visualize the structure and layout of your resources intuitively.
  • Dependency Visualization: The tool lets you see the relationships and dependencies between different Azure resources, helping you understand how they interact.
  • Resource Group Focus: The Visualizer allows you to focus on a specific resource group and view its resources. This provides a clear understanding of the resource hierarchy within the group.
  • Resource Documentation: You can export the visual diagrams from Resource Visualizer and use them for documentation purposes. This provides a clear and visual representation of your resource architecture.
  • Resource Planning and Management: Resource Visualizer helps you plan and manage your Azure resources more effectively by providing a high-level view of their relationships. This assists in optimizing resource deployments and configurations.
  • Collaboration and Communication: The visual diagrams created by Resource Visualizer can be shared with team members and stakeholders, facilitating better collaboration and communication about the resource architecture.
  • Resource Insights: Resource Visualizer provides insights into your architecture, allowing you to understand resource dependencies better and identify potential issues.

Conclusion

Overall, it is a valuable tool for understanding and visualizing the complex relationships between Azure resources. It simplifies the process of exploring your resource architecture, enhances collaboration among teams, and supports efficient resource management within your Azure subscription. To visualize your resources, click How to visualize your Azure Resources.

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June 13, 2023 Microsoft Azure No comments yet
Demystifying Azure Resource Visualizer: Step-by-Step Tutorial for Effective Resource Visualization

How Azure Resource Visualizer Works

Efficient Resource Mapping with Azure Resource Visualizer

Overview

In a scenario where you’re pressed for time and require an immediate diagram of your environment, wouldn’t it be convenient if there was a method to simply select your resources and automatically generate a comprehensive diagram? This diagram would not only display all the resources within your environment but also illustrate the relationships among them. Fortunately, Azure now offers a solution to fulfill this need.

Azure Resource Visualizer is a powerful feature integrated into the Azure portal that provides an interactive and visual representation of your Azure resources and their dependencies. It allows you to gain a comprehensive overview of your resource architecture and understand the relationships between different resources.

To use Azure Resource Visualizer

  1. Sign in to the Azure Portal.
  2. In the Search box, search for Resource group and choose Resource group from the result.
  3. In the Resource Groups pane, choose the required Resource group and click Resource Visualizer.

Note: By default, the diagram shows all resources in the subscription.

Azure Resource Visualizer

  1. To filter the resources, click Choose Resources.

The Resources pane appears.

  1. Choose the required resources to appear in the diagram.

The selected resources diagram appears.

Tips: Hovering over a resource box displays a tooltip showing details such as resource type, name, and resource group.

Azure Resource Visualizer

  1. To export the diagram for further analysis or documentation, click Export PNG in the top-right corner of the Azure Resources Visualizer pane.

This downloads the diagram as a PNG image file.

That’s it! You can now use Azure Resources Visualizer to explore and understand the relationships between your Azure resources visually and intuitively.

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June 8, 2023 Microsoft Azure No comments yet
Creating an Amazon Virtual Private Cloud (VPC): A Simple and Clear Step-by-step Guide

Amazon Virtual Private Cloud: Step-by-step Guide

Creating Amazon Virtual Private Cloud (VPC)

Overview

You can start up AWS services in a predefined virtual network that is logically separated using Amazon Virtual Private Cloud (Amazon VPC). This virtual network has the advantage of leveraging the scalable infrastructure of AWS while closely resembling a conventional network you would manage in your own data center.

To create an Amazon Virtual Private Cloud

  1. Sign in to the AWS Management Console.
  2. In the Search box, search for VPC and choose VPC from the results.

The VPC dashboard pane appears.

  1. Click Create VPC.

The Step 1: Select a VPC Configuration pane appears.

Creating Amazon Virtual Private Cloud

  1. Choose VPC with Public and Private Subnets and then click Select.

The Step 2: VPC with Public and Private Subnets pane appears.

  1. Do the following:
    1. In the IPv4 CIDR block box, type the required IPv4 CIDR.
    2. For IPv6 CIDR block, click No IPv6 CIDR Block.
    3. In the VPC name box, type a name for the VPC.
    4. In the Public subnet’s IPv4 CIDR box, type the required subnet.
    5. In the Availability Zone list, choose No Preference or the required zone.
    6. In the Public subnet name box, type a name.
    7. For Enable DNS hostnames, click Yes.
    8. In the Hardware tenancy list, choose Default.
  2. Click Create VPC.

The newly created VPC appears in the Your VPCs pane.

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June 7, 2023 Amazon AWS No comments yet
Creating an Amazon S3 Bucket: A Simple and Clear Step-by-step Guide

Amazon S3 Bucket Creation: Step-by-step Guide

Creating Amazon S3 Bucket in AWS Console

Overview

Amazon S3 Bucket or Amazon Simple Storage Service is a highly scalable, secure, and performant object storage service. It caters to customers of various sizes and industries, offering a wide array of use cases for data storage and protection. These use cases encompass data lakes, websites, mobile applications, backup and restore operations, archival purposes, enterprise applications, IoT devices, and big data analytics.

Amazon S3 not only ensures data availability but also provides robust security measures. It empowers users with management features that enable optimization, organization, and customized access configuration to meet specific business, organizational, and compliance needs.

To Create an Amazon S3 bucket

  1. Sign in to the AWS Management Console.
  2. In the Find Services box, type S3 and choose Amazon S3 from the results.
  3. In the left pane, under Amazon S3, click Buckets.
  4. In the Buckets pane, click Create bucket.

The Create bucket pane appears.

Creating Amazon S3 Bucket

  1. Under General configuration, do the following:
    1. In the Bucket name box, type a unique bucket name.
    2. In the AWS Region list, choose the required region.
    3. To copy settings from the existing bucket, click Choose bucket and choose the required bucket settings.
  2. Under Object Ownership, go with the default option ACLs disabled (recommended).
  3. Under Block Public Access settings for bucket, select Block all public access
  4. Under Tags – optional, click Add tag to track storage costs and organize buckets.
  5. Under Default encryption, do the following:
    1. For Encryption key type, click Amazon S3 managed keys (SSE-S3).
    2. For Bucket key, click Enable.
  6. Under Advanced settings, for Object Lock, choose Enable if you want to enable object lock.

Note: Object Lock for a bucket may only be turned on at the time of creation; it cannot be turned off afterwards. Versioning for the bucket is also enabled by turning on Object Lock. To prevent new objects from being destroyed or rewritten after activation, you must adjust the Object Lock default retention and legal hold settings.

  1. Choose Create bucket.

The newly created bucket appears in the Buckets pane.

Creating Amazon S3 Bucket

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June 7, 2023 Amazon AWS No comments yet
Step-by-step Guide: Creating Amazon Network Load Balancer with Ease

Amazon Network Load Balancer Creation: Procedures

Creating Amazon Network Load Balancer

Overview

Amazon’s Network Load Balancer operates on the fourth layer of the Open Systems Interconnection (OSI) model, enabling efficient handling of millions of requests every second. Upon receiving a connection request, the load balancer intelligently chooses a target from the designated target group based on the default rule. It then proceeds to establish a TCP connection with the selected target, utilizing the port specified in the listener configuration.

To create an Amazon network load balancer

  1. Sign in to the AWS Management Console.
  2. In the Find Services box, type EC2 and choose EC2 from the results.
  3. In the left pane, under Load Balancing, choose Load Balancers.

The Load Balancers pane appears.

  1. Click Create load balancer.

The Load balancer types pane appears.

Creating Amazon Network Load Balancer

  1. Under Network Load Balancer, click Create.

The Create Network Load Balancer pane appears.

  1. Under Basic configuration, do the following:
    1. In the Load balancer name box, enter a name for the load balancer.
    2. For Scheme, click Internet-facing.
    3. For IP address type, click IPv4.
  2. Under Network mapping, do the following:
    1. In the VPC list, choose the virtual private cloud for the targets.
    2. For Mappings, select the checkbox for the availability zones. You can select one subnet per availability zone.
  3. Under Security groups, in the Security groups list, choose a security group or create one.
  4. Under Listeners and routing, do the following:
    1. Under Listener HTTP:80, in the Default action list, choose a target group or click Create target group to create a new target group.
    2. Click Add listener tag (optional) to add a tag.
    3. To add another Listener, click Add listener.
  5. For AWS Global Accelerator (optional), select the checkbox to create an accelerator and associate the load balancer with accelerator.
  6. Under Load balancer tags (optional), choose Add tag, and enter the key and value.
  7. Under Summary, review the configuration details and click Create load balancer.

Creating Amazon Network Load Balancer

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June 5, 2023 Amazon AWS No comments yet
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