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MVK Techno Solutions
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Welcome ToMVK Techno Solutions

 

Our IT service and consultancy firm offers comprehensive solutions tailored to meet your digital needs. From website development to cloud-based solutions, we specialize in crafting innovative and user-friendly platforms that elevate your online presence. Our team of experts excels in creating dynamic websites that not only captivate your audience but also drive results. Additionally, we provide cutting-edge cloud development solutions, harnessing the power of cloud technology to optimize your business processes and enhance scalability. Moreover, we offer training programs designed to empower your team with the skills and knowledge needed to leverage the latest technologies effectively. With our holistic approach to IT services, we are committed to delivering excellence and helping your business thrive in the digital age.

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Our Courses

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Azure DevOps

Azure DevOps is also known as Microsoft visual studio team services (VSTS). It is a set of collaborative development tools built for the cloud. VSTS was commonly used as a standalone term, and Azure DevOps is a platform which is made up of a few different products, such as:

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Python with Django Rest Framework

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming.

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ServiceNow Crash Course

The ServiceNow platform is designed for use in security, operations, customer service and HR, among other areas. The ServiceNow product suite also offers software for physical and cloud IT needs and can be used to manage service-level projects and production instances within a department.

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Data Analytics with Python libraries

Data analytics involves the exploration, interpretation, and communication of meaningful patterns within datasets to aid decision-making and solve problems. Through statistical analysis, data visualization, and machine learning techniques, data analysts extract valuable insights from large volumes of data. These insights can inform strategic business decisions, optimize processes, and identify opportunities for growth or improvement. Data analytics plays a crucial role across various industries, empowering organizations to make data-driven decisions and stay competitive in today's rapidly evolving landscape.

Students Feedback

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Ravi K

Azure DevOps Engineer
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Azure Devops Feedback

Happy to announse that my student got placed in one of the MNC company with best salary .

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E-Books

Blogs

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software downloads URLs - Free

 NameSoftware Download URLTypeAmazon Web Service(AWS)Register in AWSPaaSAzure Register in AzurePaaSGCP Register in GCPPaaSPuTTyGenClick HerePuTTy Click HereSSH ToolWinSCPClick HereFTPToolGitBashClick HereSCMGitHubRegister in GitHubGITHUBGitLabRegister in GitLabSource RepoBitBucketRegister in BitBucketSource RepoJDK Click HereJava Development KitNotePad++Click HereEditorVisual Studio CodeClick HereEditorEclipseClick HereIDEMaven Click HereBuild ToolApache TomcatClick HereApplication ServerApache HTTP serverClick HereHTTP ServerWildFlyClick HereApplication ServerJbossClick HereApplication ServerSonarQubeClick HereCode Quality AnalzerSonar ScannerClick HereScanner ToolSonarQube cloudClick HereCode Quality AnalzerPostgre Sql Db ServerClick HereDatabase serverJfrogClick HereArtifacts storageJenkinsClick HereCI/CD ToolDockerClick Herecontainer toolDocker HubClick HereRepositoryAnsibleClick HereConfiguration management toolChefClick HereConfiguration management toolPuppetClick HereConfiguration management toolAzure DevOpsRegister in AzureDevOpsDevops Terraform Click HereIacC Tool

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Different types of Deployment Strategies

           Different types of Deployment Strategies1) Continuous Deployment (CD):     Automatically deploying every code change that passes automated testing to production.Example: A web application that updates multiple times a day based on new features or bug fixes.2) Blue-Green Deployment:     Running two identical production environments (Blue and Green), but only one is live at a time. The switch between environments is seamless.Example: Routing traffic to the Green environment for testing while the Blue environment serves production traffic. When Green is ready, traffic is switched to it.3) Canary Deployment:    Gradually rolling out a new version of the application to a small subset of users or servers before deploying it to the entire infrastructure.Example: Releasing a new mobile app version to 5% of users initially to monitor for any unexpected issues before a full release.4) Rolling Deployment:  Gradually replacing instances of the old version with the new one, minimizing downtime and risk.Example: Updating a cluster of servers one at a time, ensuring that the application remains available throughout the deployment process. 5) Feature Toggles (Feature Flags):    Controlling the release of new features by toggling them on or off without redeploying the application.Example: Introducing a new UI component but activating it only for internal users initially to gather feedback before exposing it to all users. These strategies help in achieving a balance between deploying new features quickly and maintaining the stability and reliability of the application. The choice depends on the specific requirements, risks, and constraints of the project.6) A/B Testing:   A method of comparing two versions (A and B) of a webpage, application, or feature to determine which performs better.Example: Consider an e-commerce website testing two variations of a checkout button. Version A is the existing button design, while Version B is a new design. By randomly assigning users to either A or B, the company can analyze user interactions and conversion rates to decide which version is more effective in increasing purchases.7) Shadow Deployment: Introducing a new version of an application or service alongside the existing production version, allowing it to run concurrently without affecting live users.Example: Suppose a company wants to deploy a new messaging feature in a chat application. With shadow deployment, the new messaging system is deployed in parallel with the existing one, but the messages from the new system are only logged for analysis rather than being visible to users. This allows the team to monitor performance, identify issues, and ensure a smooth transition before making it live for all users.                                    Note : Image credits to google .

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