Our team of skilled and experienced IT professionals is dedicated to helping businesses achieve their technology goals. We offer a wide range of services, including software development, website design and development, cloud computing, cybersecurity, network infrastructure, and managed IT services. Our team works closely with our clients to understand their business requirements and deliver customized solutions that meet their specific needs.

We look forward to the opportunity to work with your business and help you achieve your technology goals. Please feel free to contact us to schedule a consultation and learn more about our services.

robot-handshake-human-background-futuristic-digital-age.png

small_robot-handshake-human-background-futuristic-digital-age.png

thumbnail_robot-handshake-human-background-futuristic-digital-age.png

About Lamzing

Download our official Lamzing logos.We have three versions of the logo. Use Azure and Charcoal on light backgrounds and white on dark backgrounds.

logo-with-name.svg

Lamzingtech Blue Logo-03.svg

LamzingtechBlueLogo.svg

Vector.svg

Media Assets

skrunch.png

logo-pedalsgo.png

logo-toi.png

logo-forthcode.png

AIM_Niti_aayog-removebg.png

image 29.png

image 30.png

NEATeHUB.png

Asset 10.png

Assam_Agricultural_University_logo.png

icon-ar.svg

AR/VR

icon-ai.svg

Artificial Intelligence

icon-robotics.svg

Robotics

icon-language.svg

Language

icon-education.svg

Education

icon-ecom.svg

E-Commerce

icon-agri.svg

Agriculture

image 55.png

image 57.png

maolKeki.svg

image 58.png

large_projectMap.png

medium_projectMap.png

small_projectMap.png

thumbnail_projectMap.png

projectMap.png

TensorFlow is an open-source machine learning framework that enables developers to build and train machine learning models for a variety of tasks, including image recognition, natural language processing, and more. In this blog, we will explore the key features and benefits of TensorFlow and how it can benefit developers and businesses.&nbsp;What is TensorFlow?&nbsp;TensorFlow is an open-source machine learning framework that was developed by Google Brain. It provides a flexible and efficient way to build and train machine learning models for a wide range of applications. TensorFlow supports a wide range of platforms, including desktops, mobile devices, and cloud platforms.&nbsp;Key features of TensorFlow&nbsp;<ol style="list-style-type:decimal;"><li>Flexible architecture - TensorFlow provides a flexible architecture that allows developers to build and train machine learning models using a wide range of techniques, including deep learning, reinforcement learning, and more.</li><li>Cross-platform support - TensorFlow supports a wide range of platforms, including desktops, mobile devices, and cloud platforms. This makes it easy to build and deploy machine learning models on a wide range of devices.</li><li>High-performance - TensorFlow is designed to be highly optimized for performance, with support for both CPU and GPU acceleration. This makes it ideal for training large machine learning models.</li><li>Easy to use - TensorFlow provides a wide range of APIs and tools that make it easy for developers to build and train machine learning models. It also provides extensive documentation and tutorials to help developers get started quickly and easily.</li></ol> Benefits of TensorFlow&nbsp;<ol style="list-style-type:decimal;"><li>Scalable - TensorFlow provides a scalable way to build and train machine learning models. It can be used to train models on small datasets, as well as large datasets that require distributed training across multiple devices.</li><li>Fast - TensorFlow is designed to be highly optimized for performance, with support for both CPU and GPU acceleration. This makes it ideal for training large machine learning models quickly and efficiently.</li><li>Flexible - TensorFlow provides a flexible architecture that allows developers to build and train machine learning models using a wide range of techniques, including deep learning, reinforcement learning, and more.</li><li>Easy to use - TensorFlow provides a wide range of APIs and tools that make it easy for developers to build and train machine learning models. It also provides extensive documentation and tutorials to help developers get started quickly and easily.</li></ol> &nbsp;Getting started with TensorFlow&nbsp;To get started with TensorFlow, you need to follow a few steps:&nbsp;<ol style="list-style-type:decimal;"><li>Install TensorFlow - You can install TensorFlow using pip, the Python package manager.</li><li>Build and train a model - You can build and train a machine learning model using TensorFlow by writing code in Python.</li><li>Test and evaluate the model - You can test and evaluate the performance of your machine learning model using TensorFlow by feeding it data and analyzing the results.</li><li>Deploy the model - You can deploy your machine learning model using TensorFlow by exporting it to a file or serving it as a REST API.</li></ol>&nbsp; Conclusion&nbsp;TensorFlow is a powerful and flexible machine learning framework that enables developers to build and train machine learning models for a wide range of applications. It provides a wide range of features and benefits, including a flexible architecture, cross-platform support, high-performance, and ease of use. By understanding the key features and benefits of TensorFlow, developers can improve their workflows and streamline their machine learning model development processes.

TensorFlow is an open-source machine learning framework that enables developers to build and train machine learning models for a variety of tasks, including image recognition, natural language processing, and more. In this blog, we will explore the key features and benefits of TensorFlow and how it can benefit developers and businesses.

TensorFlow-09-05_at_11.01.04-min.png

TensorFlow

AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. It provides a flexible and cost-effective way to build and run applications in the cloud. In this blog, we will explore the key features and benefits of AWS Lambda and how it can benefit developers and businesses.&nbsp;What is AWS Lambda?&nbsp;AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. It enables developers to build scalable and flexible applications by providing a way to execute code in response to events, such as changes to data in an Amazon S3 bucket, updates to a DynamoDB table, or API requests.&nbsp;AWS Lambda supports a wide range of programming languages, including Node.js, Python, Java, Go, Ruby, and C#. This makes it easy for developers to write code in their preferred language and run it in the cloud. Key features of AWS Lambda&nbsp;<ol style="list-style-type:decimal;"><li>Serverless computing - With AWS Lambda, developers don't have to worry about managing servers, scaling infrastructure, or maintaining operating systems. This allows developers to focus on writing code and building applications, rather than managing infrastructure.</li><li>Event-driven architecture - AWS Lambda enables developers to build event-driven applications by executing code in response to events. This allows applications to respond quickly and automatically to changes in data or user behavior.</li><li>Auto-scaling - AWS Lambda automatically scales resources up and down based on the demand for a function. This means that developers only pay for the compute time that is used, which makes it a cost-effective solution for running applications in the cloud.</li><li>Integration with other AWS services - AWS Lambda integrates with a wide range of other AWS services, including Amazon S3, Amazon DynamoDB, Amazon API Gateway, and Amazon Kinesis. This makes it easy to build complex applications that utilize multiple AWS services.</li></ol>&nbsp;Benefits of AWS Lambda&nbsp;<ol style="list-style-type:decimal;"><li>Cost-effective - AWS Lambda provides a cost-effective way to run applications in the cloud. Developers only pay for the compute time that is used, which can lead to significant cost savings compared to traditional hosting solutions.</li><li>Scalable - AWS Lambda enables developers to build scalable applications that can handle high volumes of traffic and requests. It automatically scales resources up and down based on demand, which ensures that applications are always available and responsive.</li><li>Flexible - AWS Lambda supports a wide range of programming languages and integrates with a wide range of other AWS services. This makes it a flexible solution for building a wide range of applications.</li><li>Easy to use - AWS Lambda is easy to use, with a simple and intuitive user interface. It also provides a wide range of documentation and tutorials to help developers get started quickly and easily.</li></ol>&nbsp;Getting started with AWS Lambda&nbsp;To get started with AWS Lambda, you need to follow a few steps:&nbsp;<ol style="list-style-type:decimal;"><li>Create an AWS account - If you don't already have an AWS account, you'll need to create one to use AWS Lambda.</li><li>Create a Lambda function - You can create a Lambda function by writing code in your preferred language or using a blueprint.</li><li>Configure triggers - You can configure triggers for your Lambda function, such as an S3 bucket, DynamoDB table, or API Gateway endpoint.</li><li>Test and deploy - You can test and deploy your Lambda function using the AWS Lambda console, CLI, or SDKs.</li></ol>&nbsp;Conclusion&nbsp;AWS Lambda is a powerful and flexible serverless computing service that enables developers to build scalable and cost-effective applications in the cloud. It provides a wide range of features and benefits, including serverless computing, event-driven architecture, auto-scaling, and integration with other AWS services. By understanding the key features and benefits of AWS Lambda, developers can improve their workflows and streamline their application deployment processes.

AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. It provides a flexible and cost-effective way to build and run applications in the cloud. In this blog, we will explore the key features and benefits of AWS Lambda and how it can benefit developers and businesses.

lamda.png

AWS Lambda

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a robust set of tools for managing containerized workloads, services, and infrastructure in a highly available and scalable way. In this blog, we will explore the key concepts of Kubernetes and how it can benefit developers and businesses.&nbsp;What is Kubernetes?&nbsp;Kubernetes, also known as K8s, is a container orchestration platform that automates the deployment, scaling, and management of containerized applications. It was developed by Google and is now maintained by the Cloud Native Computing Foundation (CNCF). Kubernetes provides a highly available and scalable environment for running containerized applications across different environments.&nbsp;Benefits of Kubernetes&nbsp;<ol style="list-style-type:decimal;"><li>Scalability - Kubernetes makes it easy to scale applications by providing an automated way to deploy, manage, and scale containerized workloads. It allows businesses to handle increased traffic and demand more efficiently.</li><li>Availability - Kubernetes provides a highly available and resilient environment by automatically handling failures and maintaining the desired state of the system. It ensures that applications are always up and running.</li><li>Cost savings - Kubernetes allows businesses to optimize their infrastructure costs by utilizing resources more efficiently. It enables businesses to run multiple applications on a single cluster of machines, reducing hardware and maintenance costs.</li><li>Portability - Kubernetes provides a consistent and portable environment for running containerized applications across different cloud providers and on-premises infrastructure. This makes it easier to move applications between different environments.</li></ol>&nbsp;Key concepts of Kubernetes&nbsp;<ol style="list-style-type:decimal;"><li>Nodes - A node is a physical or virtual machine that runs Kubernetes. Nodes are responsible for running containerized workloads and services.</li><li>Pods - A pod is the smallest deployable unit in Kubernetes. It contains one or more containers that share the same network namespace and storage volume.</li><li>Services - A service is an abstraction that defines a set of pods and provides a stable IP address and DNS name for accessing them. It enables applications to communicate with each other across the cluster.</li><li>Deployments - A deployment is a higher-level abstraction that manages the deployment and scaling of a set of replicas of a pod. It provides declarative updates for rolling out new versions of an application.</li></ol>&nbsp;Getting started with Kubernetes&nbsp;To get started with Kubernetes, you need to follow a few steps:&nbsp;<ol style="list-style-type:decimal;"><li>Install Kubernetes - You can install Kubernetes on-premises or on the cloud. Many cloud providers, such as Google Cloud, Amazon Web Services, and Microsoft Azure, offer managed Kubernetes services.</li><li>Create a Kubernetes cluster - You can create a Kubernetes cluster by setting up nodes and configuring network and storage settings.</li><li>Deploy an application - You can deploy an application by creating a deployment and defining the desired number of replicas. You can also create a service to provide a stable IP address and DNS name for accessing the application.</li></ol>&nbsp;Conclusion&nbsp;Kubernetes is a powerful platform for managing containerized workloads and infrastructure in a highly available and scalable way. It provides many benefits for developers and businesses, including scalability, availability, cost savings, and portability. By understanding the key concepts of Kubernetes and how to use it, developers can improve their workflows and streamline their application deployment processes.

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a robust set of tools for managing containerized workloads, services, and infrastructure in a highly available and scalable way. In this blog, we will explore the key concepts of Kubernetes and how it can benefit developers and businesses.

kubernetes768x422.png

Kubernetes

Docker is a popular platform for building, shipping, and running applications in a containerized environment. It allows developers to package their applications and dependencies into a single container, making it easier to deploy and run them across different environments. In this blog, we will explore the key concepts of Docker and how it can benefit developers and businesses.&nbsp;What is Docker?&nbsp;Docker is an open-source containerization platform that provides an efficient way to package, distribute, and run applications. A Docker container is a lightweight, standalone, and executable package that contains everything an application needs to run, including code, dependencies, and system libraries. Containers are isolated from each other and from the host operating system, making them more secure and portable.&nbsp;Benefits of Docker:<ol style="list-style-type:decimal;"><li>&nbsp;Consistent environment - Docker allows developers to create a consistent environment across different platforms, making it easier to deploy and run applications on different operating systems, cloud platforms, and devices.</li><li>Scalability - Docker makes it easier to scale applications by allowing developers to deploy multiple instances of a containerized application on a single host or across multiple hosts. This makes it easier to handle increased traffic and load.</li><li>Faster development cycles - Docker simplifies the process of creating and testing applications by providing a lightweight and portable environment. This makes it easier to test and iterate on new features, reducing development time and costs.</li><li>Cost savings - Docker reduces infrastructure costs by allowing multiple applications to run on a single host or cluster. This can help businesses save money on hardware, maintenance, and support.</li></ol>&nbsp;Key concepts of Docker:&nbsp;<ol style="list-style-type:decimal;"><li>Images - A Docker image is a preconfigured package that contains an application and all its dependencies. Images can be created, modified, and shared across different environments.</li><li>Containers - A Docker container is a runtime instance of a Docker image. It provides an isolated environment for running an application and its dependencies.</li><li>Dockerfile - A Dockerfile is a text file that contains instructions for building a Docker image. It specifies the base image, software dependencies, and configuration settings for the image.</li><li>Registry - A Docker registry is a repository that stores and distributes Docker images. The most popular registry is Docker Hub, which provides a public repository of Docker images.</li></ol>&nbsp;Getting started with Docker:To get started with Docker, you need to follow a few steps:<ol style="list-style-type:decimal;"><li>Install Docker - You can download and install Docker from the official website for your operating system.</li><li>Build a Docker image - You can create a Dockerfile that specifies the software dependencies and configuration settings for your application, and then use the docker build command to build an image.</li><li>Run a Docker container - You can use the docker run command to start a Docker container from an image. You can specify the configuration settings and environment variables for the container.</li></ol>&nbsp;Conclusion&nbsp;Docker is a powerful platform for containerizing applications and simplifying the process of deploying and running them across different environments. It provides many benefits for developers and businesses, including faster development cycles, cost savings, and scalability. By understanding the key concepts of Docker and how to use it, developers can improve their workflows and streamline their application deployment processes.

Docker is a popular platform for building, shipping, and running applications in a containerized environment. It allows developers to package their applications and dependencies into a single container, making it easier to deploy and run them across different environments. In this blog, we will explore the key concepts of Docker and how it can benefit developers and businesses.

docker-226091.png

Docker

&nbsp; &nbsp; &nbsp; &nbsp; ReactJS is a popular library for building user interfaces, and TypeScript is a type-safe language that helps catch errors before they happen. Together, they make a powerful combination for creating robust and scalable web applications.TypeScript is a superset of JavaScript, which means that any valid JavaScript code is also valid TypeScript code. However, TypeScript adds additional features such as static typing and interfaces that help catch errors at compile time rather than at runtime.With static typing, developers can define the shape of props and state using interfaces, which can then be used to enforce type safety. This helps catch errors early in the development process and prevents unexpected bugs from occurring in production.&nbsp;Getting started with ReactJS in TypeScript:&nbsp;To get started with ReactJS in TypeScript, there are a few steps to follow:&nbsp;<ol style="list-style-type:decimal;"><li>Install TypeScript - You can install TypeScript using npm or yarn. &nbsp;Here is the command to install TypeScript using npm:<ol><li>npm install typescript --save-dev</li></ol></li><li>Create a new React app - You can create a new React app using the create-react-app command-line tool. Here is the command to create a new React app in TypeScript:<ol><li>npx create-react-app my-app --template typescript</li></ol></li><li>Write your code - You can now write your React components using TypeScript.&nbsp;</li></ol>Here's an example of using TypeScript with ReactJS:&nbsp;<pre><code class="language-typescript">import React, { FC } from 'react';

interface Props {
 name: string;
 age: number;
}

const MyComponent: FC&lt;Props&gt; = ({ name, age }) =&gt; {
 return (
 &lt;div&gt;
 &lt;p&gt;Name: {name}&lt;/p&gt;
 &lt;p&gt;Age: {age}&lt;/p&gt;
 &lt;/div&gt;
 );
};</code></pre>&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; In this example, we define an interface Props that specifies the shape of the props object that our component expects. We then use this interface to define the type of our component using the FC (Function Component) type from React. This ensures that the props passed to our component are of the correct type, and any errors related to props are caught at compile time.Another benefit of using TypeScript with ReactJS is that it provides better tooling support. IDEs such as Visual Studio Code can provide better code completion and error checking, making it easier to write and maintain code.In summary, using TypeScript with ReactJS can provide several benefits, including better type safety, catching errors at compile time, and improved tooling support. If you're starting a new ReactJS project, consider using TypeScript to improve the quality and maintainability of your code.&nbsp;Benefits of ReactJS in TypeScript&nbsp;<ol style="list-style-type:decimal;"><li>Type Safety: TypeScript adds static typing to your code, allowing you to catch errors at compile-time instead of run-time. This can help catch bugs early in the development process, reducing the time and effort required for testing and debugging.</li><li>Improved Code Quality: By adding type annotations to your code, TypeScript can help ensure that your code is consistent and well-structured. This can improve readability and maintainability, making it easier for other developers to work with your code.</li><li>Enhanced Productivity: TypeScript's tooling can help improve developer productivity by providing better auto-completion, code navigation, and refactoring tools. This can save time and effort when writing and maintaining your code base.</li><li>Better code organization - TypeScript provides a way to define interfaces and types, which helps in better organizing the code. It improves readability, maintainability, and refactoring of code.</li><li>Improved developer experience - With TypeScript, developers can take advantage of better auto-completion, code navigation, and inline documentation. It can also help prevent common errors that occur in JavaScript projects.</li><li>Easier codebase management - In larger codebases, TypeScript can help developers better manage the complexity of the code. It can also help in better code reuse and sharing between different components.</li></ol>&nbsp;Best Practices for Using ReactJS in TypeScript&nbsp;<ul><li>Use React.FC: Use the React.FC type to define your functional components. This will provide better type checking for your props and ensure that your components are compatible with the rest of the React ecosystem.</li><li>Define Props with Interfaces: Use interfaces to define the shape of your component's props. This will provide better type checking and ensure that your components are used correctly.</li><li>Use Generics: Use generics to create reusable components and HOCs. This can reduce code duplication and improve code maintainability.</li><li>Use Enums: Use enums to define constants that are used in your application. This can help make your code more readable and easier to maintain.</li><li>Use React Hooks: Use React Hooks to manage state and side-effects in your components. This can improve code readability and reduce complexity.</li></ul>&nbsp;Conclusion:&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; Using ReactJS in TypeScript can provide significant benefits in terms of code quality, type safety, and developer productivity. By following best practices such as using React.FC, interfaces, generics, enums, and React Hooks, you can create maintainable and high-quality code. If you're new to TypeScript or ReactJS, it may take some time to get used to the syntax and tools, but the investment can pay off in the long run.

        ReactJS is a popular library for building user interfaces, and TypeScript is a type-safe language that helps catch errors before they happen. Together, they make a powerful combination for creating robust and scalable web applications.

TypeScript is a superset of JavaScript, which means that any valid JavaScript code is also valid TypeScript code. However, TypeScript adds additional features such as static typing and interfaces that help catch errors at compile time rather than at runtime.

One of the benefits of using TypeScript with ReactJS is that it helps catch errors related to props and state at compile time. With static typing, developers can define the shape of props and state using interfaces, which can then be used to enforce type safety. This helps catch errors early in the development process and prevents unexpected bugs from occurring in production.

react-logo@3x.svg

React JS in TypeScript

We have a team of Trained and Seasoned DevOps professionals that work on AWS, Azure & Google Cloud Infrastructure, Strategy & Design, Kubernetes Consulting and more...

devOps.svg

DevOps

We design, consult and build Microservices architecture for your startup and enterprise applications. Our core expertise is on Spring boot, Nodejs and Python based microservices.

microservices.svg

Microservices Architecture

We develop frontend using Reactjs/React Native for web and mobile applications. We regularly train inhouse reactjs developers and have a good set of people who can be deployed on demand.

front.svg

Frontend Development

We have extensive experience in Delivery Apps, Video Streaming Applications and Web Content Accessibility Guidelines .

idea.svg

Business Domain Knowledge

Our UI/UX professionals are trained from UX Academy, London and frequently mentored by industry experts that have worked on top brands.

ui.svg

UI/UX Design

We have worked on OCR, object detection and NLP by the virtue of our collaboration with top technical institutions like IITG, NIT and NIELIT. We are official industry partners in a couple of R&D projects.

Why work with us

DevOps

Microservices Architecture

Frontend Development

Business Domain Knowledge

UI/UX Design

Machine Learning

Clients

Project Map

Industries we have
worked with

Updates

Incubators

Partners

Why work with us

DevOps

Microservices Architecture

Frontend Development

Business Domain Knowledge

UI/UX Design

Machine Learning

Clients

Project Map

Industries we have worked with

Updates

Incubators

Partners

Industries we have
worked with