Many organizations now require some data to be stored in the cloud because it is faster to access from anywhere.

One of the most popular use cases for Azure Storage is as a data store for applications. Azure Storage can store data generated by applications, like logs, user data, and application configuration. Applications can fluently access the data stored in Azure Storage, which can help reduce the load on the application’s database. Also, by storing the data in Azure Storage, applications can scale more easily, as the data store can be scaled up or down as needed.

In terms of cost, Azure Storage is very affordable, making it an attractive option for businesses of all sizes. The pricing model is based on the amount of data stored, the number of requests made to the storage service, and the type of storage used. Also, users can take advantage of the Azure Hybrid Benefit, which allows them to save money by using existing licenses for Windows Server and SQL Server with Azure.

What is an Azure Storage Account?

Azure Storage Account is a service provided by Microsoft.

• It offers scalable, highly available, and cost-effective object, blob, file, and table data storage.
• It helps store and manage large amounts of unstructured and structured data in the cloud, which can be accessed through REST APIs.
• The storage account acts as a central repository, allowing you to store and manage large amounts of data in the cloud.

Types of Access Tiers

• Hot storage (Default): It is used for storing data that is accessed frequently.
• Cool Storage: It is used for storing data, but is not accessed frequently and stored for at least 30 days.
• Archive Storage: It is used for storing rarely accessed data for a minimum of 180 days.

Types of Azure Storage Accounts

• General-purpose V1 Account: It provides access to all Azure Storage services like blobs, files, queues, and tables but does not have the latest features. There are no supported access tiers.
• General-purpose V2 Account: Basic storage account types for blobs, files, queues, and tables are recommended for most scenarios using Azure Storage. It supports access tiers.
• Premium block blobs: Premium storage account type for block blobs and append blobs It only supports blob storage. It does not support geo-redundant storage; it only supports locally redundant storage and zone redundant storage for redundancy.
• Premium file shares: Premium storage accounts are only available for file shares. It only works with Azure Files and does not support geo-redundant storage. However, it supports the Data Lake Storage with locally redundant storage and zone redundant storage for redundancy.

Types of Azure Storage Services: -

• Azure Containers / Blobs: It is useful to store huge amounts of unstructured data stored to keep text and binary data.There are three types of blobs: -
  • Block Blobs: Block blobs are used to store large amounts of unstructured data, such as text and binary data. They are used for uploading and downloading large files.
  • Page Blobs: Page blobs are similar to block blobs, but are optimized for random read and write operations. They are used to store virtual hard disk (VHD) files for Azure virtual machines.
  • Append Blobs: Append blobs are similar to block blobs. They are used to store logs and other append-only data, adding new data at the end of the blob.
• Azure Files: This file service is used for sharing files in the cloud or on-premises via the Server Message Block (SMB) protocol.
• Azure Queue: It is a messaging store for consistent messaging between application components.
• Azure Tables: They are used for a NoSQL store for schema-less storage of structured data.

Types of Azure Storage Redundancy

• Locally redundant storage (LRS): The data is replicated and synced three times in one data center in a region. It has a service level agreement (SLA) of 99.99 % for a year.
• Zone redundant storage (ZRS): The data is replicated and synced three times in multiple data centers within a zone in the same region. It has a service level agreement (SLA) of 99.99 percent for a year.
• Geo-redundant storage (GRS): The data is replicated and synced three times in multiple data centers in the primary and secondary regions asynchronously. It's given 99.99 % service level agreement (SLA) over a year
• Read-access geo-redundant storage (RA-GRS): The data is replicated and synced three times in multiple data center in the primary region as well as Secondary region asynchronously. Allowing read access from the second region.

Azure Storage is a highly scalable, highly available, and cost-effective solution for storing data in the cloud. Whether you need to store data for applications, backups, or archiving, Azure Storage provides a powerful, flexible, and secure result.

For more questions on Azure storage, you can contact the Microsoft Azure-certified professionals at MetaSys Software. Our Azure services portfolio includes new product development, application modernization, application migration, windows integration, web application development, and Azure consulting. Get in touch now!

OpenAI founded in December of 2015, is a United States-based nonprofit organization with a primary focus on AI and ML tools, including machine learning, computer vision, natural language processing, and robotics. It’s aim is to develop AI-based software that will benefit humanity.

What is ChatGPT ?

ChatGPT is a conversational language model invented by OpenAI. ChatGPT stands for "Chat Generative Pre-trained Transformer". GPT was trained on massive data collected from the Internet.

It's a revolutionary AI technology that helps a user to search for long-form question-answers. It interacts with humans as if it were a human. ChatGPT reacts like a typical human would and fully comprehends the question.

How is ChatGPT trained?

ChatGPT, or the Conversational AI model behind OpenAI GPT is a language model, is trained using a variant of the Transformer architecture called GPT (Generative Pre-trained Transformer). ChatGPT uses Reinforcement Learning with Human Feedback (RLHF) algorithm. This algorithm is used by ChatGPT to directly optimize a language model with human feedback.

ChatGPT was trained using a two-stage process: pre-training and fine-tuning.

Pre-training: This stage is trained on a large amount of text data using unsupervised learning. It enables the model to develop a general understanding of language.

Fine-tuning: This stage is adjusted to optimize it’s performance on specific tasks using supervised learning. Additionally, ChatGPT uses unsupervised multitask learning to improve its performance on multiple related tasks simultaneously,such as language generation, question answering, and more sentiment analysis, etc.

ChatGPT is trained on a large amount of data from the Internet and uses Reddit, Stack Overflow, and other websites for coding. It also learns to dialogue and respond like a human.

What can ChatGPT do?

ChatGPT can be used for various applications, including chatbots, client servicing, and language translation. It can be used for creative writing as well. ChatGPT can be used for:

What can ChatGPT do?

ChatGPT can be used for various applications, including chatbots, client servicing, and language translation. It can be used for creative writing as well. ChatGPT can be used for:

• Language Generation: ChatGPT can generate fluent text similar to human writing, including creative writing, poetry, and news articles.
• Language Translation: ChatGPT can be used to do language translation.
• Text Classification: ChatGPT can classify text into categories, like a news article into topics like politics, sports, and entertainment.
• Sentiment Analysis: ChatGPT can determine the sentiment of a text, whether it is positive, negative, or neutral.
• Question Answering: ChatGPT can answer questions by providing relevant information from a given text.
• Summarization: Long text paragraphs can be condensed into shorter ones while retaining the meaning.
• Chatbot applications: ChatGPT can be used in chatbots to enable human-like conversations between machines and humans.

Let's see some queries for ChatGPT.

• How do I make an HTTP request using the built-in library in Python? Debug code
• Help me to complete assignment questions
• Extract data from the text.
• Write an article.
• 1 man can build 5 houses in a month; 10 men can build 15 houses in how many days?
• Why do programmers drink a lot of coffee?

ChatGPT is continuously improving through research and development in natural language processing. It's expected to become even more advanced and capable in the future, coming up with new possibilities for applications in fields of education, healthcare, and customer service.

What are the limitations of ChatGPT (3.5)?

ChatGPT has a limited understanding of the world events that occurred after 2021. Moreover, ChatGPT lacks common sense because it is in the preview stage and gets knowledge from a large amount of data on the Internet. Too much information might impair one's capacity to think and properly respond. This lack of knowledge can sometimes result in illogical or wrong replies, which is what happens with ChatGPT.

Is ChatGPT free to use?

Right now, ChatGPT is presently free during the "Research Preview" time.

Since ChatGPT is in the preview stage, it is presently free for all users to test out and provide feedback on the replies so that it can get better at answering queries. This also helps it learn from its own mistakes.

ChatGPT has introduced a new subscription service called ChatGPT Plus. ChatGPT Plus will offer a variety of benefits to users, including

• Always available, even during peak times.
• Faster response than normal ChatGPT
• Provides users with priority access and new features.

ChatGPT previously took input as text, but ChatGPT-4 is capable of taking input as both images and text.

ChatGPT-4 can give responses of more than 25,000 words. More than the previous version

ChatGPT-4 has the ability for users to just send a web link and ask it about that link's web page; it can provide all of the information from that web link. The user can interact with the text, video, and image on that web link page.

ChatGPT-4 comes with more features, like:

• Image Recognition
• Multilingual Capabilities
• Steerability.

Image Recognition - The most important feature of ChatGPT4 is image recognition. Because the previous version only supported text-based input and output. With this version, users will be able to give input as an image and generate content.

Multilingual Capabilities: As compared with the previous version, ChatGPT 4 has more language support.

Steerability: - Steerability is a new feature in ChatGPT-4. This feature was not available in the previous version. This version allows users to customize the Al's behavior in ChatGPT4. Now you can make the chatbot understand your commands more easily, and it responds faster than the previous version.

How do I use ChatGPT?

You can use ChatGPT by visiting the OpenAI - ChatGPT website at https://chat.openai.com. After that, register yourself on the OpenAI website. You can sign up with your Google id, Microsoft id, or custom email id.

After registering yourself on OpenAI website, click on “login” and enter the same credential that you used during registration.

• Text Classification: ChatGPT can classify text into categories, like a news article into topics like politics, sports, and entertainment.
• Sentiment Analysis: ChatGPT can determine the sentiment of a text, whether it is positive, negative, or neutral.
• Question Answering: ChatGPT can answer questions by providing relevant information from a given text.
• Summarization: Long text paragraphs can be condensed into shorter ones while retaining the meaning.
• Chatbot applications: ChatGPT can be used in chatbots to enable human-like conversations between machines and humans.

Let's see some queries for ChatGPT.

• How do I make an HTTP request using the built-in library in Python? Debug code
• Help me to complete assignment questions
• Extract data from the text.
• Write an article.
• 1 man can build 5 houses in a month; 10 men can build 15 houses in how many days?
• Why do programmers drink a lot of coffee?

ChatGPT is continuously improving through research and development in natural language processing. It's expected to become even more advanced and capable in the future, coming up with new possibilities for applications in fields of education, healthcare, and customer service.

What are the limitations of ChatGPT (3.5)?

ChatGPT has a limited understanding of the world events that occurred after 2021. Moreover, ChatGPT lacks common sense because it is in the preview stage and gets knowledge from a large amount of data on the Internet. Too much information might impair one's capacity to think and properly respond. This lack of knowledge can sometimes result in illogical or wrong replies, which is what happens with ChatGPT.

Is ChatGPT free to use?

Right now, ChatGPT is presently free during the "Research Preview" time.

Since ChatGPT is in the preview stage, it is presently free for all users to test out and provide feedback on the replies so that it can get better at answering queries. This also helps it learn from its own mistakes.

ChatGPT has introduced a new subscription service called ChatGPT Plus. ChatGPT Plus will offer a variety of benefits to users, including

• Always available, even during peak times.
• Faster response than normal ChatGPT
• Provides users with priority access and new features.

After successfully logging in, you will see the ChatGPT chatbot, where you can type your query.

ChatGPT is simple to use and is for anyone to use.

How can I use ChatGPT-4?

ChatGPT-4 is only available for Plus members. You must subscribe to ChatGPT+ in order to access ChatGPT-4. Here is how to purchase a chatGPt plus subscription.

To use ChatGPT, go to the OpenAI website at https://chat.openai.com.To upgrade the plan, repeat the above ChatGPT Registration process. until the login page

After successfully logging in, on the left side you will see "Upgrade to Plus." After you click on the upgrade plan, you will be redirected to the payment options. Make the payment and enjoy chatGPT-4 features

We, at MetaSys software, are always keen to know about new trending technologies and firmly believe that AI will play a significant role in shaping our society in the coming decades.

A virtual event called Microsoft Build 2022 took place from May 24 to May 26, 2022. In response, Microsoft CEO Satya Nadella announced new resources and enhancements for the developer community.

He made several announcements regarding the cloud, AI, etc., during his keynote address. Most of the choices are intended to make it simpler for developers to create native apps for various platforms. The most significant updates and releases from Microsoft Build 2022 are listed below.

1.Azure migration:

• In order to make cloud migration and upgrades for businesses easier, Microsoft has added new functionality to Azure Migration.
• Users now have additional power over the Azure Migration Service, thanks to this functionality.
• Users can start, pause, and resume operations, which will allow them to plan migration during off-peak hours.

2.Dev Box:

• Dev Box is a new tool for developers to deliver high-performance, cloud-based workstations, which are pre-configured.
• It's like a container that provides isolated space for developers to build and test.
• Microsoft Dev Box is the way to create development environments in Azure-hosted Windows virtual machines so that developers can quickly open a pre-configured system and use them.

3.Power Pages:

• Microsoft’s Power Pages is a low-code website builder. This tool is helpful when we want to build a website quickly.
• It provides a pre-template for developers to choose and customize the website according to their requirements.
• Power Pages is also integrated with Visual Studio, GitHub, and Azure DevOps.

4.Azure Hybrid: -

• Microsoft launched the Azure Arc tool for users to make the most of their environment Hybrid.
• Azure Arc is a bridge that extends the Azure platform to help you build applications and services with the flexibility to run across data centers, at the edge, and in multi-cloud environments.
• Users can run sensitive data workloads in their environment.

5.Hybrid Loop:

• Hybrid Loop offers cross-platform development for building AI (Artificial Intelligence) experiences on the cloud and edge.
• For hybrid applications, the cloud is meant to be seen as an additional computing resource.

6.OpenAI service:

• Microsoft announced a preview of its Azure OpenAI Service as part of the Azure Cognitive Service.
• The Azure OpenAI service provides REST API access to OpenAI's powerful language models, including the GPT-3, Codex and Embeddings model series.
• Azure OpenAI Service provides analysis and awareness, capabilities for building apps, code generation and analyzing unstructured data.

7.Project Volterra:

• Microsoft and Qualcomm announced a new device powered by Qualcomm Snapdragon i.e., Project Volterra.
• It is a development kit with a neural processor that will enable developers to build advanced AI apps with the help of Qualcomm’s new Neural Processing SDK.
• It looks like the black Apple Mac mini.

8.Microsoft Intelligent Data Platform:

• Microsoft calls its integrated database, analytics, and management product the ‘Microsoft Intelligent Data Platform’.
• Microsoft Intelligent Data Platform helps the user to spend more time on their larger business strategy rather than managing their data systems.

9.AI and Copilot:

• Microsoft also announced the general availability of GitHub Copilot.
• Copilot is also available on Visual Studio as a code extension.
• It works with a range of frameworks and languages. It works well with Python, JavaScript, TypeScript, Ruby, and with several other languages.

10.Microsoft Purview Data Updates:

• Azure Purview is a joint data governance solution that helps you manage and govern your on-premises, multi-cloud, and Software-as-a-service (SaaS) data.
• Microsoft Purview brings together data governance from ‘data and AI’ and risk and compliance solutions from security.

11.Azure Database for MySQL Changes:

• The Azure Database is a fully managed MySQL database.
• It focuses on application development and not on database management.
• This year, Microsoft upgraded Azure Database for MySQL and as a result, it is now 1.5 times faster than the previous version.
• Azure Database for MySQL is easy to set up and cost-effective. It is also easy to operate and scale.
• Other advantages include advanced security, zone-redundant high availability or same-zone, and a service-level agreement (SLA) of up to 99.99 percent.

12.New Azure Cosmos DB Previews:

• Microsoft has new previews for Azure Cosmos DB, including the serverless capacity to 1TB, support for hierarchical partition keys and shared database partitions.
• You can now access your database account and collections with a connection string, without requiring access to the Azure subscription or portal.

13.Azure App Service Updates:

• Now, Google Remote Procedure Call (gRPC) is supported on Azure App Services; developers of gRPC can Host their Apps on Azure App Services.
• Microsoft will release Azure App Service bulk migration capabilities to classify which applications are ready for migration.

14.Upgrades for Azure Cognitive Services for Language:

• Now, Google Remote Procedure Call (gRPC) is supported on Azure App Services; developers of gRPC can Host their Apps on Azure App Services.
• Microsoft will release Azure App Service bulk migration capabilities to classify which applications are ready for migration.

15. Azure Spring Apps:

• Azure Spring Apps is a Platform as a service (PaaS) for Spring App developers.
• Microsoft renamed its Azure Spring Cloud managed service with VMware to Azure Spring Apps.
• It has made the Azure Container Apps service for microservices and containerized applications on serverless platforms generally available

Transform your business with MetaSys Software's Azure application development services. Our expert team specializes in Azure software development to deliver custom solutions that maximize the potential of the cloud.

Take advantage of the flexibility and scalability of the Azure platform to modernize your applications and drive your business forward. Contact us today to learn more.

Image sources:

• https://www.crn.com/slide-shows/cloud/the-15-biggest-azure-announcements-at-microsoft-build-2022/10
• https://analyticsindiamag.com/key-announcements-from-microsoft-build-2022/
• https://news.microsoft.com/build2022/

According to a survey, 8 out of 10 customers consider the experience a company offers to be equally significant as the products or services it provides.

Source: "State of Service," Salesforce, December 2020.

Customer service is no longer an afterthought; it's a core competency. Companies that do a great job of providing excellent customer service will win over those that don't. Customers are looking for companies that provide them with exceptional experiences.

MetaSys believes in the above philosophy, and therefore we have invested heavily in providing superior customer service. We are proud that our relationship with most of our customer’s averages over 10 years.

So, what has been our key recipe for success? Here are some factors that have benefitted us!

• Understanding client requirements– The MetaSys team is well-versed in knowing client requirements. This enables us to deliver precisely what the client requires. We choose Agile methodology if a client has no set requirements. It aids in the timely design and delivery of Sprints.
• Time-management– A complex software development project necessitates meticulous planning. As MetaSys developers are aware of this, they provide clients with timely updates. The team is always punctual in attending the meetings. Some mission-critical projects require daily client calls. For such projects, we ensure daily calls between the client and the team. Even if the client's requirements change, we can accommodate the changes in the project. And even in such scenarios, there is no compromise on the deadlines.
• Availability per client working hours- Since the client and the outsourcing partner work in different time zones, managing international projects can be challenging. But our developers and project managers are always available to assist the client at their convenience. For urgent queries, our team works on weekends as well.
• Accurate Task-wise Estimate- Project planning is the first step toward any successful project. MetaSys gives a lot of importance to it, so our team prepares detailed task-wise estimates. This helps in meeting the deadlines of the project without much hassles.
• Trust and Integrity- For over 20 years, MetaSys has been developing custom software. Our typical customer relationship lasts over ten years. We earned this trust by consistently outperforming expectations. And in present, our existing clients' belief in us is primarily based on their faith in us.
• Suggestions and Inputs– Our team is actively involved in all the projects. The team gives regular suggestions, and their contributions are well-thought-out and beneficial to the client.

Other important factors, which have also helped us in strengthening our relationship with clients include:

• Providing high-quality deliverables
• Maintaining better communication and coordination with the client
• Readiness to achieve goals through a systematic approach
• Prompt action taken for production
• Doing backlog grooming, architectural meetings
• Eagerness to comprehend new requirements and frequently pose pertinent queries to understand more about the project
• Helping clients in their mission-critical projects, which involves the development of a complex portal that a previous vendor had botched
• Billing transparency for work hours

All of these factors have contributed to MetaSys becoming what it is today. Through this blog, we'd like to express our gratitude to our clients who have trusted us for so long and do so even now.

For businesses that are still searching for the ideal solution to their custom software needs, MetaSys Software is the best option because of our experience managing software development projects of various complexity levels across different industry verticals.

To know more about the projects which we have handled, read through our case studies.

The need for a directory of users arises when various devices are used on the same network. It is crucial to locate the directory on one central source, known as Active Directory. It helps validate and authenticate multiple users accessing all resources on the domain with a single sign-on.

In this blog, we will demonstrate how to implement Active Directory in a .NET application.

What is Active Directory?

Active Directory is a database adapted by Microsoft to manage multiple devices on a single network. It also can be defined as a set of services that connect users with network resources they need to accomplish projects. In order to obtain access to devices, the network users require it to be validated.

Let us consider a C# .NET application to validate the users using Active Directory on the login page, before implementing Active Directory, we use ASP.NET membership to validate a user on the Login page. The code should look similar to the code below.

Now, to create our own function to validate the user through Active Directory, we use the code below.

VerifyUserAD accepts three parameters, namely, Username, Password and ReturnMsg. ReturnMsg returns the error message if the validation of the user fails against the Active Directory. Refer to the code below.

Once the user is validated, the function VertifyUserAD returns an ‘authenticated’ message, based on which the user can take the following relevant actions.

To entirely bypass the ASP .NET membership, use the Active Directory to validate the user. For an existing application, users can maintain and access a copy of Users in the database, meaning there is no need to modify the whole application end-to-end.

Role-based implementation

For role-based implementation, we use the DirectorySearcher class to fetch the property ‘memberOf’ for that user in Active Directory, as shown in the code below.

This enables users to find the list of Groups in which the user is assigned using the SearchResult.

Use the command below to install Directory Services using the package manager console.

Install-Package System.DirectoryServices

Hope this blog will help you in the implementation of Active Directory in Dot Net application. For more information on .Net services, please visit https://development.ikf.in/metasys1/dot-net