#svn Azure devops svn

[annajade456]

Navigating the DevOps Landscape: Opportunities and Roles

DevOps has become a game-changer in the quick-moving world of technology. This dynamic process, whose name is a combination of "Development" and "Operations," is revolutionising the way software is created, tested, and deployed. DevOps is a cultural shift that encourages cooperation, automation, and integration between development and IT operations teams, not merely a set of practises. The outcome? greater software delivery speed, dependability, and effectiveness.

In this comprehensive guide, we'll delve into the essence of DevOps, explore the key technologies that underpin its success, and uncover the vast array of job opportunities it offers. Whether you're an aspiring IT professional looking to enter the world of DevOps or an experienced practitioner seeking to enhance your skills, this blog will serve as your roadmap to mastering DevOps. So, let's embark on this enlightening journey into the realm of DevOps.

Key Technologies for DevOps:

Version Control Systems: DevOps teams rely heavily on robust version control systems such as Git and SVN. These systems are instrumental in managing and tracking changes in code and configurations, promoting collaboration and ensuring the integrity of the software development process.

Continuous Integration/Continuous Deployment (CI/CD): The heart of DevOps, CI/CD tools like Jenkins, Travis CI, and CircleCI drive the automation of critical processes. They orchestrate the building, testing, and deployment of code changes, enabling rapid, reliable, and consistent software releases.

Configuration Management: Tools like Ansible, Puppet, and Chef are the architects of automation in the DevOps landscape. They facilitate the automated provisioning and management of infrastructure and application configurations, ensuring consistency and efficiency.

Containerization: Docker and Kubernetes, the cornerstones of containerization, are pivotal in the DevOps toolkit. They empower the creation, deployment, and management of containers that encapsulate applications and their dependencies, simplifying deployment and scaling.

Orchestration: Docker Swarm and Amazon ECS take center stage in orchestrating and managing containerized applications at scale. They provide the control and coordination required to maintain the efficiency and reliability of containerized systems.

Monitoring and Logging: The observability of applications and systems is essential in the DevOps workflow. Monitoring and logging tools like the ELK Stack (Elasticsearch, Logstash, Kibana) and Prometheus are the eyes and ears of DevOps professionals, tracking performance, identifying issues, and optimizing system behavior.

Cloud Computing Platforms: AWS, Azure, and Google Cloud are the foundational pillars of cloud infrastructure in DevOps. They offer the infrastructure and services essential for creating and scaling cloud-based applications, facilitating the agility and flexibility required in modern software development.

Scripting and Coding: Proficiency in scripting languages such as Shell, Python, Ruby, and coding skills are invaluable assets for DevOps professionals. They empower the creation of automation scripts and tools, enabling customization and extensibility in the DevOps pipeline.

Collaboration and Communication Tools: Collaboration tools like Slack and Microsoft Teams enhance the communication and coordination among DevOps team members. They foster efficient collaboration and facilitate the exchange of ideas and information.

Infrastructure as Code (IaC): The concept of Infrastructure as Code, represented by tools like Terraform and AWS CloudFormation, is a pivotal practice in DevOps. It allows the definition and management of infrastructure using code, ensuring consistency and reproducibility, and enabling the rapid provisioning of resources.

Job Opportunities in DevOps:

DevOps Engineer: DevOps engineers are the architects of continuous integration and continuous deployment (CI/CD) pipelines. They meticulously design and maintain these pipelines to automate the deployment process, ensuring the rapid, reliable, and consistent release of software. Their responsibilities extend to optimizing the system's reliability, making them the backbone of seamless software delivery.

Release Manager: Release managers play a pivotal role in orchestrating the software release process. They carefully plan and schedule software releases, coordinating activities between development and IT teams. Their keen oversight ensures the smooth transition of software from development to production, enabling timely and successful releases.

Automation Architect: Automation architects are the visionaries behind the design and development of automation frameworks. These frameworks streamline deployment and monitoring processes, leveraging automation to enhance efficiency and reliability. They are the engineers of innovation, transforming manual tasks into automated wonders.

Cloud Engineer: Cloud engineers are the custodians of cloud infrastructure. They adeptly manage cloud resources, optimizing their performance and ensuring scalability. Their expertise lies in harnessing the power of cloud platforms like AWS, Azure, or Google Cloud to provide robust, flexible, and cost-effective solutions.

Site Reliability Engineer (SRE): SREs are the sentinels of system reliability. They focus on maintaining the system's resilience through efficient practices, continuous monitoring, and rapid incident response. Their vigilance ensures that applications and systems remain stable and performant, even in the face of challenges.

Security Engineer: Security engineers are the guardians of the DevOps pipeline. They integrate security measures seamlessly into the software development process, safeguarding it from potential threats and vulnerabilities. Their role is crucial in an era where security is paramount, ensuring that DevOps practices are fortified against breaches.

As DevOps continues to redefine the landscape of software development and deployment, gaining expertise in its core principles and technologies is a strategic career move. ACTE Technologies offers comprehensive DevOps training programs, led by industry experts who provide invaluable insights, real-world examples, and hands-on guidance. ACTE Technologies's DevOps training covers a wide range of essential concepts, practical exercises, and real-world applications. With a strong focus on certification preparation, ACTE Technologies ensures that you're well-prepared to excel in the world of DevOps. With their guidance, you can gain mastery over DevOps practices, enhance your skill set, and propel your career to new heights. 

[appdevelopmentservice1]

Streamlining Software Development with Cloud-Based DevOps and SCM Practices.

In today’s quick-changing tech world, delivering good software fast and reliably is a must. Companies use cloud based devops tools to speed up development, keep things consistent, and stay flexible.

At CloudKodeForm Technologies, we help organizations adopt new ideas by blending cloud-native DevOps practices with strong software configuration management (SCM) methods.

What is Cloud-Based DevOps?

Cloud DevOps merges development and sw configuration management using cloud services to automate, oversee, and handle apps at large scale. It removes the limits of older setups by giving scalability, flexibility, and real-time teamwork across different locations.

Main advantages include:

Fast deployment and ongoing integration/continuous delivery (CI/CD)

Monitoring in real time and diagnostics

Automated testing and quick rollback solutions

Easy collaboration between developers and operations teams

Azure and DevOps: A Strong Match

Azure combined with DevOps offers a full platform for managing the software cycle. Microsoft Azure supplies cloud infrastructure, while Azure DevOps provides tools for project planning, source control, CI/CD pipelines, testing, and managing builds.

At CloudKodeForm, we help clients get the most from Azure DevOps by:

Setting up secure, scalable CI/CD pipelines

Connecting repositories like Git and tracking tools like Azure Boards

Managing infrastructure as code with Azure Resource Manager (ARM) or Terraform

Automating testing and deployment steps

This smooth setup cuts mistakes, speeds up releases, and keeps applications stable and fast.

The Importance of Software Configuration Management (SCM) SCM is key for tracking changes in software through all stages of development. It makes sure every version stays clear and traceable—from source code to deployed files.

SCM includes:

Version control systems like Git or SVN

Change management processes

Control of build and release steps

Auditing of configurations

Without a strong SCM system, teams risk deploying buggy or outdated software, which can cause downtime and higher costs. That’s why CloudKodeForm Technologies stresses using integrated SCM in all parts of azure and devops.

Why SCM Matters in Software Work

In software development, SCM is more than just a tool. It’s a set of rules that helps prevent conflicts, improves teamwork, and keeps software quality high as projects grow and teams expand.

Some core rules are:

Having one clear source for the truth

Following naming and documentation standards

Watching for unauthorized changes

Being able to undo changes if needed

Our experts build custom SCM plans that fit each client’s needs. They use tools like GitHub, Bitbucket, Azure Repos, and CI/CD platforms such as Jenkins or GitLab.

Why Pick CloudKodeForm for Cloud DevOps and SCM?

CloudKodeForm Technologies offers full help with moving to cloud DevOps. We provide advice, setup, and ongoing support. Whether you’re working with microservices, containers, or serverless apps, our team helps you set up cloud-based DevOps, Azure DevOps, and good software management work methods.

We focus on:

Shorter release times about with less downtime

Secure, scalable setups

Following industry standards

Clear reports and full traceability

In conclusion, as tech speeds up, aligning your work with cloud tools and SCM is essential. Using cloud DevOps with platforms like Azure and strong software management will help your business stay ahead.

[mesaimat]

Top Software Tools and Technologies for MCA Students

The Master of Computer Applications (MCA) program is designed to equip students with the skills and knowledge needed to excel in the IT industry. To succeed in this dynamic field, it’s essential for MCA students to be proficient in a range of software tools and technologies. Here’s a look at some of the top software tools and technologies that MCA students should familiarize themselves with to stay competitive and industry-ready.

Integrated Development Environments (IDEs) Visual Studio Code: A versatile, open-source IDE developed by Microsoft, ideal for web development and supporting numerous extensions for various programming languages. Eclipse: Popular for Java development, Eclipse offers extensive plugins that cater to other languages and development needs. PyCharm: Specifically designed for Python, PyCharm enhances productivity with features like code completion, inspections, and a powerful debugger.

Version Control Systems Git: An essential tool for source code management, Git allows multiple developers to work on a project simultaneously. Platforms like GitHub, GitLab, and Bitbucket provide cloud repositories and collaboration tools. SVN (Apache Subversion): Though less common today, SVN is still used in some organizations and is good to know for understanding different version control methodologies.

Database Management Systems MySQL: A widely used relational database management system, MySQL is crucial for understanding SQL and handling large datasets. PostgreSQL: Known for its advanced features and compliance with standards, PostgreSQL is another critical tool for database management. MongoDB: A NoSQL database that’s perfect for working with unstructured data, MongoDB is increasingly relevant in the era of big data.

Programming Languages Java: A foundational language for many MCA programs, Java is essential for learning object-oriented programming. Python: Renowned for its simplicity and versatility, Python is extensively used in web development, data science, and AI. JavaScript: Essential for web development, JavaScript enables dynamic and interactive user experiences.

Web Development Frameworks React.js: A JavaScript library for building user interfaces, React.js is maintained by Facebook and widely used in the industry. Angular: Developed by Google, Angular is a robust framework for building web applications. Django: Framework for rapid development and clean, pragmatic web design based on Python.

Data Science and Machine Learning TensorFlow: An open-source platform for machine learning, TensorFlow is developed by the Google Brain team. SciPy and NumPy: Python libraries for scientific computing and numerical operations, essential for data analysis. Pandas: Python library for manipulating and analyzing data.

Project Management and Collaboration Tools Jira: A tool for agile project management, Jira helps in tracking bugs, tasks, and project progress. Trello: A flexible project management tool that uses boards, lists, and cards to organize tasks and collaborate with team members. Slack: A communication platform that integrates with other tools, facilitating seamless team collaboration.

Cloud Platforms Amazon Web Services (AWS): A comprehensive cloud platform offering a range of services from computing power to storage. Microsoft Azure: Another leading cloud platform, Azure supports a variety of cloud services and integrates well with Microsoft tools. Google Cloud Platform (GCP): Known for its strong data and machine learning services, GCP is a valuable tool for cloud-based projects.

DevOps Tools Docker: A tool for creating, deploying, and running applications in containers, Docker ensures that software runs consistently across different environments. Kubernetes: Automates application container deployment, scaling, and operation using open-source code. Jenkins: A continuous integration and continuous delivery (CI/CD) tool that automates parts of the software development process.

Cybersecurity Tools Wireshark: A network protocol analyzer that helps in troubleshooting and analyzing network traffic. Nmap: A network scanning tool used for security auditing and network discovery. Burp Suite: A set of tools for testing web application security. Conclusion Mastering these tools and technologies will provide MCA students with a strong foundation to build successful careers in the IT industry. Keeping up with the latest developments and continuously honing technical skills is crucial in this fast-evolving field. By integrating these tools into their education and projects, MCA students can ensure they are well-prepared for the challenges and opportunities that lie ahead. Know more visit : Best MCA Course in Kerala

[swaroopvs]

AWS

Cloud in a box

Everything you need to operate your business from Amazon, Microsoft Azure and Private Clouds.

Cloud in the box offering

A holistic approach to your infrastructure needs by combining services from the following disciplines to give you a seamless experience: DevOps: Your infrastructure is automated and built out right the first time SRE: Your infrastructure is configured for fault tolerance, resilience, monitored 24×7 and sends out alerts on critical failures DevSecOps: Your infrastructure is built to comply with security posture

CI/CD for cloud

Releasing features first to the market without sacrificing quality differentiates a company from its competitors. Mirketa will help you define CI pipelines to provide quick feedback to your developers to write better code by implementing industry leading open-source CI tools.

Build CI/CD pipeline: Our CI/CD pipelines integrate code quality, and test coverage tools to ensure quality is maintained as the teams move faster and implement change management integrations to provide compliance. Our expertise includes Jenkins, Kubernetes, Docker, and other open-source tools.

Branching strategies: Branching strategies are impacted by team structure, release processes, and even team skills and willingness to change. We recommend branching model blueprints that best fit your needs for efficient code management to increase developer productivity and reduce build and deploy time.

GIT migration: Our GIT migration services include taking your source code for legacy SCM tools like SVN and Perforce to GIT

CI/CD training: We provide classroom training on Continuous Integration and Continuous Deployment concepts and tools with hands-on exercises.

With Mirketa’s CI/CD methodology, you will see a significant reduction in cost per story point as the holding cost will drastically reduce without losing quality and sacrificing compliance.

Ready to discuss your clouds needs? Contact us for a free consultation.

Contact Us to know more

Modernization

Infrastructure modernization

Legacy infrastructure not just hampers businesses from lost productivity but also impacts growth potential. We at Mirketa take a cloud native approach and build infrastructure via open source DevOps automation tools to provide an error free and repeatable process.

We have expertise in docker, Kubernetes, AWS, GCP, Azure, serverless architecture.

Infrastructure Modernization Include:

– Assess current state and needs for Cloud Infrastructure

– Select the platform and architect to-be state

– Migrate from one platform to another

– Upgrade monitoring/ security tools

Whether it is an application migration journey from on-prem data centers to cloud or a brand new infrastructure built in the cloud, you can entrust Mirketa to have a smooth journey.

[allenbalif]

DevOps Tutorial

DevOps can indeed be a confusing topic, especially for those who are new to it or trying to understand its principles and practices. Let's break it down:

What is DevOps?

DevOps is a set of practices aimed at streamlining the collaboration between software development (Dev) and IT operations (Ops). The goal is to shorten the system development life cycle and provide continuous delivery with high software quality.

Key Principles of DevOps:

Culture: DevOps is as much about culture as it is about tools and practices. It emphasizes collaboration, communication, and shared responsibility among development, operations, and other stakeholders.

Automation: Automation is crucial in DevOps for tasks like provisioning infrastructure, deploying applications, and testing. This helps in achieving consistency, reliability, and speed in software delivery.

Continuous Integration (CI): Developers frequently integrate their code changes into a shared repository. CI systems automatically build and test the code changes, enabling early detection of issues.

Continuous Delivery (CD): Continuous delivery extends CI by automatically deploying all code changes to a testing or production environment after the build stage. This ensures that software is always in a deployable state.

Infrastructure as Code (IaC): Infrastructure is defined and managed using code and configuration files, allowing for automated provisioning and management of infrastructure resources.

Monitoring and Feedback: Continuous monitoring of applications and infrastructure provides feedback loops for identifying issues, optimizing performance, and informing future development efforts.

Common Tools and Technologies:

Version Control: Git, SVN

Continuous Integration: Jenkins, Travis CI, CircleCI

Configuration Management: Ansible, Puppet, Chef

Containerization: Docker, Kubernetes

Cloud Platforms: AWS, Azure, Google Cloud Platform

Monitoring: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)

Benefits of DevOps:

Faster time to market

Increased deployment frequency

Lower failure rate of new releases

Faster mean time to recovery in case of failures

Improved collaboration and communication between teams

Challenges of DevOps:

Cultural resistance to change

Complexity in integrating diverse tools and technologies

Security concerns with automation and continuous deployment

Skill gap in adopting new practices and technologies

In summary, DevOps is about breaking down silos between development and operations teams, fostering a culture of collaboration and automation, and delivering software quickly, reliably, and with high quality. While it can be complex to implement, the benefits it brings to organizations are significant in terms of efficiency, reliability, and customer satisfaction.

Watch Now:- https://www.youtube.com/watch?v=qGpfL8v4cos

[tricksdevops]

DevOps Tools and Toolchains

DevOps Course in Chandigarh,

DevOps tools and toolchains are crucial components in the DevOps ecosystem, helping teams automate, integrate, and manage various aspects of the software development and delivery process. These tools enable collaboration, streamline workflows, and enhance the efficiency and effectiveness of DevOps practices.

Version Control Systems (VCS): Tools like Git and SVN are fundamental for managing source code, enabling versioning, branching, and merging. They facilitate collaboration among developers and help maintain a history of code changes.

Continuous Integration (CI) Tools: Jenkins, Travis CI, CircleCI, and GitLab CI/CD are popular CI tools. They automate the process of integrating code changes, running tests, and producing build artifacts. This ensures that code is continuously validated and ready for deployment.

Configuration Management Tools: Tools like Ansible, Puppet, and Chef automate the provisioning and management of infrastructure and application configurations. They ensure consistency and reproducibility in different environments.

Containerization and Orchestration: Docker is a widely used containerization tool that packages applications and their dependencies. Kubernetes is a powerful orchestration platform that automates the deployment, scaling, and management of containerized applications.

Continuous Deployment (CD) Tools: Tools like Spinnaker and Argo CD facilitate automated deployment of applications to various environments. They enable continuous delivery by automating the release process.

Monitoring and Logging Tools: Tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), and Splunk provide visibility into application and infrastructure performance. They help monitor metrics, logs, and events to identify and resolve issues.

Collaboration and Communication Tools: Platforms like Slack, Microsoft Teams, and Jira facilitate communication and collaboration among team members. They enable seamless sharing of updates, notifications, and project progress.

Infrastructure as Code (IaC) Tools: Terraform, AWS CloudFormation, and Azure Resource Manager allow teams to define and manage infrastructure using code. This promotes automation, versioning, and reproducibility of environments.

Continuous Testing Tools: Tools like Selenium, JUnit, and Mocha automate testing processes, including unit tests, integration tests, and end-to-end tests. They ensure that code changes do not introduce regressions.

Security and Compliance Tools: Tools like SonarQube, OWASP ZAP, and Nessus help identify and mitigate security vulnerabilities and ensure compliance with industry standards and regulations.

In summary, DevOps tools and toolchains form the backbone of DevOps practices, enabling teams to automate, integrate, and manage various aspects of the software development lifecycle. These tools promote collaboration, efficiency, and reliability, ultimately leading to faster and more reliable software delivery.

[tech-ahead-corp]

DevOps Platforms And Software Development

28 Best DevOps Platforms And Tools: The ULTIMATE Guide

These best DevOps platforms and software can be a game-changer for businesses aiming to streamline their software deployment and development processes. The right platform or tool automates tasks and boosts collaboration between the operations and development teams. This, in turn, leads to quicker deployment of high-quality software that meets user expectations. Selecting from the Best DevOps Platforms and Software requires understanding your team's specific needs and how each tool can address them effectively. Tech Ahead provides cutting-edge DevOps platforms and software development solutions to streamline and enhance the software delivery lifecycle.

Understanding DevOps Platforms and Software

'DevOps' amalgamates two pivotal roles in software development: Development (Dev) and Operations (Ops). It's a methodology that encourages collaboration between these traditionally separate teams to streamline the entire software development lifecycle. Focusing on DevOps platforms and tools, they are integrated systems designed to support this collaborative approach by automating many routine tasks involved in developing applications from design through deployment stages.

Purpose of DevOps Tools

A range of specialized DevOps tools have been developed for different aspects of DevOps practices. Some handle code creation, while others manage testing or deployment processes. These popular DevOps automation tools enable faster releases with fewer errors due to their automation capabilities at various stages. Besides accelerating release cycles, these open-source DevOps tools also promote better communication among operations teams, thus fostering a culture where continuous improvement becomes part of everyday work habits within agile software development environments.

Monitoring and Error Reporting Platforms: The Backbone of App Performance

The effectiveness of a web app or mobile application is essential for its success. Monitoring and error reporting platforms are the backbones for maintaining this performance, offering tools that track application behavior, detect anomalies, and diagnose issues in real time.

Let's dive into these top 28 Best DevOps Platforms and Tools:

Raygun: Comprehensive Error Tracking

Nagios: Pioneer in IT Infrastructure Monitoring

Firebase Crashlytics: Specialized Mobile App Support

Opsgenie by Atlassian

Puppet Enterprise: The Model-Driven Approach

Cooking up Configurations with Progress Chef

An Open Source Solution: Ansible

SysAid: An All-Rounder In Configuration Management

Jenkins: A Versatile Open-Source Tool

Bamboo: Seamless Release Management

Amazon ECS: Containerized Deployments Simplified

Octopus Deploy: Advanced Deployment Functionalities

CircleCI: Speedy Builds And Tests

Docker: A Popular DevOps Tool

Redhat Openshift: Enterprise-Grade Solution

Kubernetes: The Container Orchestration King

LXC/LXD: Linux-Based Virtualization

Git: A Leading SCM Tool

Mercurial: User-friendly SCM

Apache (SVN) Subversion

SonarQube

Jira

Gradle

Atlassian Open DevOps

Azure DevOps Services

AWS (Amazon Web Services) DevOps

Terraform: An Open-Source Tool for Infrastructure Management

Google Cloud Build: Streamlining Continuous Integration/Continuous Deployment

TechAhead: Pioneering Global Excellence In The Field Of Development Work With Best-in-class Software

An industry leader in this domain - TechAhead has earned global recognition for their expertise in developing high-performing digital products using these best-in-class DevOps Platforms and software. They understand the importance of selecting appropriate DevOps automation tools tailored to client requirements, ensuring efficient workflow throughout the entire software development lifecycle. Their commitment to quality deliverables sets them apart, making them a one-stop solution provider for all application and software development automation needs.

Navigating numerous options might seem daunting, but it becomes easier to pick suitable ones once you identify what your team requires. No two projects are alike, so finding the right fit for your needs is essential. And if you ever find yourself needing expert guidance, remember companies like TechAhead are always ready to help.

The DevOps landscape is vast and diverse, with many platforms and software tools available to facilitate the development, deployment, monitoring, and maintenance of web apps and mobile applications. These popular DevOps tools are essential in streamlining operations teams' workflows while fostering collaboration among DevOps teams.

Conclusion

Exploring the world of DevOps platforms and software can feel like navigating a labyrinth. But, with this comprehensive guide, you've been armed with knowledge about top tools in various categories - from monitoring to DevOps configuration management tools, CI/CD deployment, and containerization. We've dived into source code management and build tools while shedding light on cloud-based solutions. We even touched upon security essentials for your applications.

The key takeaway? No single answer fits all when it comes to the best DevOps tools. It all concerns what works best with your team's needs and workflow. Understanding these Best DevOps Platforms and Software is part of the journey towards efficient software development. The real magic happens when you leverage them effectively. Contact TechAhead today for all your DevOps development, web, and mobile app development!

[devopsengineer]

Azure devops svn

Azure devops svn Azure devops svn Latest news live Azure devops svn Better Octopus Integration with Azure DevOps Octopus complements the Azure DevOps suite of services and we recently shipped an update to our Octopus Deploy integration for Azure DevOps to make the integration even better. It’s very common for teams to use Azure Pipelines to build their apps and use Octopus to deploy them. This…

[devops-jobs]

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers and partners on key engagements. This role is responsible for leading the delivery of new Professional Services offerings within our containe …

[dangerousgalaxydonut]

Visual Studio For Mac Code Style

Visual Studio For Mac Code Style Check

Visual Studio For Mac Code Style In Eclipse

Developer Community for Visual Studio Product family. After version 7.6 All my Xamarin forms project won't reference.NET Portable Subset assemblies, breaking intellisene. Download Visual Studio Code to experience a redefined code editor, optimized for building and debugging modern web and cloud applications. Download Visual Studio Code - Mac, Linux, Windows This site uses cookies for analytics, personalized content and ads.

Develop apps and games for iOS, Android, and web using .NET

Code in C#, F#, Razor, HTML5, CSS, JavaScript, TypeScript, XAML, and XML

With the power of Roslyn, Visual Studio for Mac brings IntelliSense to your fingertips. IntelliSense describes APIs as you type and uses auto-completion to increase the speed and accuracy of how you write code.

Quick Info tool tips let you inspect API definitions, squiggly lines in the editor highlight issues, in real time as you type.

Use the Visual Studio debugger to quickly find and fix bugs across languages.

Visual Studio For Mac Code Style Check

The Visual Studio for Mac debugger lets you step inside your code by setting Breakpoints, Step Over statements, Step Into and Out of functions, and inspect the current state of the code stack through powerful visualizations.

As your project grows, chances are, you’ll find yourself restructuring and refactoring code that you or someone else wrote earlier. That’s a whole lot easier when Visual Studio for Mac takes care of the heavy lifting for you.

The Visual Studio for Mac editor supports powerful built-in refactoring options such as Extract Method and Rename, accessible via the Quick Actions menu.

Manage your code in Git or SVN repos hosted by any provider, including GitHub and Azure DevOps. Review diffs, stage files, and make commits from inside Visual Studio for Mac.

Enhance your code quality and create a solid code base with comprehensive testing tools. The integrated test runner supports major testing frameworks such as xUnit, NUnit, and MSTest, allowing you to efficiently run and debug unit tests and automated UI tests.

Choose the development environment that is right for you. With Visual Studio on both macOS and Windows, you can share your C# and F# projects seamlessly with your team using either OS.

Compare Visual Studio for Mac and PCFEATURESVisual Studio 2019 for MacVisual Studio 2019Web and cloud development using C#ASP.NET Core and .NET CorePublish to AzureAzure FunctionsAzure Connected ServicesDocker container toolsDesktop developmentWPF and Windows FormsUWPMac Apps using Xamarin and C#Console apps with C#Desktop apps using C++Mobile and gamingMobile development with .NET using Xamarin and C#Game development using Unity and C#Mobile and game development using C++Other workloads and toolsJavaPythonSQL Server data toolsNode.jsUnit testingVersion control with Git

Create cross-platform apps targeting Android and iOS using Xamarin

Build, manage, and deploy cloud apps that scale to Azure

Create and debug cross platform games and 3D real time applications with Unity

Customers using Xamarin with Visual Studio for Mac

Visual Studio For Mac Code Style In Eclipse

Launch a professional environment tailored to the Mac, free for most non-enterprise users

[raph-tech-blog]

Looking into Version Control and Version Control Services

This quarter, we were formally introduced to version controlling in our Computer Science seminar. We learned to navigate through git because git emerged as the most successful and convenient version controlling software. This made me wonder: how does other version control software, especially the more popular ones, compare to git?

According to this medium post, other popular version control software are Mercurial, CVS, and SVN. 

To start off, some characteristics of Git include distributed repository model, good support for non-linear development, and project size independent. Some pros of Git include fast, efficient, convenient, easily maintainable; cross-platform; code change is easily detectable. However, Git fails to support keyword expansion, does not preserve timestamp, and history log becomes increasingly complex.

CVS, a.k.a. Concurrent Version System, is a centralized repository model released in 1990. It keeps historical snapshot of the project and uses compression technique for storage. The greatest pro of CVS is that it is very compatible with collaboration work. However, CVS fails to support signed merge tracking and does not perform integrity tracking. 

SVN, or Subversion, was released in 2000 as an improvement to CVS. SVN is also centralized, supports versioned directory, supports cheap and efficient branching, authorization, and file locking. However, SVN is slower and managing repositories is complicated.

Mercurial was released in 2005 as a decentralized repository model similar to git. Mercurial is lightweight, high performance, scalable, and supports collaborative development. However, Mercurial’s downside is that partial checkouts are not allowed and it does not fare well with additional extensions.

Ideally, developers should decide which version control software to use based on the project’s needs. However, appears that the decentralized nature of git and Mercurial provides much more lightweight-ness and easy usage compared to centralized CVS and SVN. Local branching in git is an especially cheap operation that allows for intuitive, efficient, fast, and collaborative version controlling. The largest cons of Git and Mercurial, how merging can be complicated and how it becomes complex to manage large projects, also applies to CVS and SVN as well. 

Git emerges superior (for most aspects). To enhance user experience, git is naturally used along with version control managing tools, like GitHub. GitHub provides functionalities and helps manage software better beyond the standard git. In additional to GitHub, enterprises also developed their own software for managing specific version controlling. Microsoft, even though they own GitHub from 2018, developed Azure DevOps which is geared towards closed enterprise software. Beyond standard version controlling, Azure DevOps offers more industry-common continuous delivery/integration (CI/CD) features including Kubernetes integration, Jenkins server support, integration to IDE, cloud build, cloud load testing, performance tracking, and machine-learning based detecting and diagnosing. The Azure DevOps’s lifecycle management tools make it a great choice for a well-developed proprietary software, which contrasts with GitHub’s emphasis on open source development. AWS CodeCommit is Amazon’s version/source control service that offers security, scalability, and ease in addition to basic functionalities of Git. Like Azure DevOps, AWS CodeCommit is geared towards company-owned-software. Regardless, Azure DevOps and AWS CodeCommit’s integration with git demonstrates how git emerged as the most powerful and prevalent version control software. 

Sources: https://medium.com/@derya.cortuk/version-control-software-comparison-git-mercurial-cvs-svn-21b2a71226e4

https://aws.amazon.com/codecommit/

https://www.g2.com/categories/version-control-systems

https://www.upguard.com/blog/microsoft-visual-studio-team-services-vs-github

[jobsaggregation2]

Azure Data Engineer

Role       :Azure Data Engineer Location :Philadelphia , US Duration : 12 months (Local profiles only US Citizens & GC?s)   Job Description: Experienced Azure Data Engineer resource having the below skillsets   IT Functional Area Data Engineering, Business Intelligence, Web/Mobile Application  Big Data Cloudera, Data bricks, HDInsight, Hadoop, Apache Spark, Hive, Impala, Spark SQL, Ranger ETL/ELT Tools Stream sets, ADF, Talend, Data Stage, SQL, PL/SQL Databases Oracle, SQL Server, MySQL, SQL DW, Firebase Cloud Azure, Google Cloud Azure Storage Azure Storage Account, Azure Data Lake Gen1/Gen2 Azure Compute Functions, Logic Apps, Power Apps, Automation Run Books, Azure VM Other Azure Technologies ARM, Key Vault, Azure Monitor, Application Insights, Log Analytics, IAM, Virtual Network, App Service Plan DevOps Docker, Azure DevOps, Jenkins, Git, SVN Programming Python, Java Web Application Frameworks Servlets, Struts, Spring, Hibernate, Django, Flask Mobile Application Frameworks Ionic Angular, Cordova Scripting Bash, PowerShell, JavaScript Visualization Qlik view, Qlik Sense, Power BI, D3.js, Raphael.js   Reference : Azure Data Engineer jobs from Latest listings added - JobsAggregation http://jobsaggregation.com/jobs/technology/azure-data-engineer_i10359

[nox-lathiaen]

Azure Data Engineer

Role       :Azure Data Engineer Location :Philadelphia , US Duration : 12 months (Local profiles only US Citizens & GC?s)   Job Description: Experienced Azure Data Engineer resource having the below skillsets   IT Functional Area Data Engineering, Business Intelligence, Web/Mobile Application  Big Data Cloudera, Data bricks, HDInsight, Hadoop, Apache Spark, Hive, Impala, Spark SQL, Ranger ETL/ELT Tools Stream sets, ADF, Talend, Data Stage, SQL, PL/SQL Databases Oracle, SQL Server, MySQL, SQL DW, Firebase Cloud Azure, Google Cloud Azure Storage Azure Storage Account, Azure Data Lake Gen1/Gen2 Azure Compute Functions, Logic Apps, Power Apps, Automation Run Books, Azure VM Other Azure Technologies ARM, Key Vault, Azure Monitor, Application Insights, Log Analytics, IAM, Virtual Network, App Service Plan DevOps Docker, Azure DevOps, Jenkins, Git, SVN Programming Python, Java Web Application Frameworks Servlets, Struts, Spring, Hibernate, Django, Flask Mobile Application Frameworks Ionic Angular, Cordova Scripting Bash, PowerShell, JavaScript Visualization Qlik view, Qlik Sense, Power BI, D3.js, Raphael.js   Reference : Azure Data Engineer jobs Source: http://jobrealtime.com/jobs/technology/azure-data-engineer_i11073

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What is DevOps? The Ultimate Guide to DevOps

DevOps is now a buzz word and several organizations and people are utilizing it frequently. There's no one answer to spell it out DevOps. It is about experience, perception, and understanding of a particular organization and how it fits in this current era.

Let's make it clear that this is simply not any technology, tool or any innovative framework but more a concept or philosophy. One can also consider it since the culture of an organization where the application form lifecycle management stays in the middle of the focus. DevOps is obviously made from the merging of two words, operations, and development. Both these teams have different responsibilities in the cycle of application release management. This time is more associated to collaboration, communication, and feedback between the different stakeholders like testers, developers, configuration management team, infrastructure team, and deployment team, etc.

DevOps is the modern term that emerging from the impact of two key trends. The first one is definitely an agile operation of agile infrastructure. It actually sprang from the way in which of applying lean and agile approaches to the job operations. The next it's possible to function as the much-expanded understanding of the collaboration value between operations and development staff through the entire different stages and steps of development lifecycle when operating and creating a service and how an operation become important in this service-oriented technical world.

This is a major element of agile software development that arises from the necessity to deal up with the increasing velocity of software and the complete way that the agile methods have gained. More advancement could be the agile culture and the techniques over the last few decades opened some new approaches to a conclusion to end the lifecycle of software delivery.

If you are dealing with a DevOps consulting service you will see lots of various things too numerous people since the discussion on the topic covers numbers of different grounds.

DevOps includes various sub-concepts like:

Continuous integration

It is more of the culture of integrating application code or the foundation code into the repositories of the foundation code like GIT or SVN repeatedly in a day. Build tools like Maven, Ant is used to verify the check-in by integrating the foundation code repositories and the continuous integration tools like Atlassian Bamboo and Jenkins.

Continuous testing

Unit testing or automated testing should be more precise. Selenium or JUnit is specifically employed for this kind of automated testing and these tools are incorporated into constant integration behavior.

Continuous provisioning or the cloud provisioning

Cloud requests or the virtual machines are highly accessible, pay per use and flexible. It is beneficial to generate various kinds of instances for various environments like testing, development, staging, and production. Various cloud service providers such as for instance Amazon web services, Microsoft Azure can be used. Various cloud service models can be used into consideration since the infrastructure or as a platform or service.

Configuration management

Configuration management is efficient to make the runtime environment ready in a steady manner across different settings. Puppet, Chef or Ansible can be utilized since the configuration management tools. It is rather easy to handle the resources with these tools in a cloud environment.

Continuous deployment or delivery

Continuous release or constant deployments would be the terms employed for day to day purposes. Continuous delivery can be utilized suitably the package file is prepared for deployment into any type of environment and continuous delivery is the proper word when the package file is ready for production deployment.

How DevOps helps to increase your IT security?

DevOps is more important to produce your software delivery faster and virtually efficient but in addition, it can keep your software secure.

It actually identifies the pair of cultural priorities and practices that linked to the good way that the program was created, deployed and produced. It could emphasize collaboration involving the IT Ops, developers and everyone, who are involved in the process like the designers and testers.

When DevOps is done efficiently, it could reduce enough time span that takes to style software from idea or concept to the implementation and delivery to the user. It can also add more efficiency to the delivery means of software in a different manner. Additionally, it helps the team members to finish the task in parallel. It may ensure the ways to correct the coding problem in the process of delivery pipeline and within less time. DevOps constantly encourage good communication involving the IT team members to secure the program better.

For More Information about DevOps CLICK  HERE

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Devops

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Rainbow Training Institute provides the Best Deveops online Training Course Certification. We are Offering Devops Course classroom training And Devops Online Training in Hyderabad.we will deliver courses 100% Practical and Devops Real-Time project training. Complete Suite of Devops training videos 

DevOps is a popular expression lately and parcel of individuals and associations are utilizing it habitually. There is no single right response for the inquiry "What is DevOps". It is about recognition, experience and comprehension of the way of life of the association and how it fits in the present period.

We should clarify that DevOps isn't an innovation, apparatus or any inventive structure. It is to a greater extent a Philosophy and idea. We can likewise consider it as a culture of an association where application lifecycle the board is in the focal point of core interest. In any case, DevOps is made of converging of two words 1) Development 2) Operations. Both the group has various obligations in the Application discharge the board cycle. It is increasingly identified with correspondence, coordinated effort, input between various partners, for example, designers, analyzers, foundation group, setup supervisory crew, sending group and so on.

DevOps incorporates distinctive sub ideas, for example,

Constant Integration: It is to a greater extent a culture of coordinating application code or source code into the source code stores, for example, SVN and GIT a few times each day. Fabricate apparatuses, for example, Ant and Maven are utilized to confirm check in by coordinating source code stores and constant reconciliation instruments, for example, Jenkins, Atlassian Bamboo, and so forth.

Constant Testing: Automated Testing or Unit testing to be progressively exact. Junit or Selenium is utilized for such sort of robotized testing and these apparatuses are incorporated in the nonstop combination conduct by devices.

Constant Provisioning or Cloud Provisioning: Virtual machines or cloud occurrence are exceptionally accessible, adaptable and pay per use. It is useful to make various sorts of cases for various condition, for example, improvement, testing, arranging, and creation. Diverse cloud specialist co-ops, for example, Microsoft Azure, Amazon Web administrations can be utilized. Distinctive Cloud administration models can be contemplated, for example, Infrastructure as a Service or Platform as a Service.

Arrangement Management: Configuration the executives is helpful to make runtime condition prepared in reliable way over every one of the situations. Culinary specialist, Puppet or Ansible can be utilized as design the executives instruments. It is extremely simple to oversee assets with such instruments in Cloud condition.

Ceaseless Delivery or Continuous Deployment: Continuous Delivery or Continuous Deployment is terms which utilized freely in everyday use. Persistent Delivery can be utilized when bundle document is arrangement prepared into any condition while Continuous Deployment term can be utilized when bundle record is creation organization prepared.

It is constantly valuable to coordinate start to finish procedure of use discharge the executives. Perceivability into organization gives knowledge into start to finish computerization process and that is exceptionally helpful in making and keeping up DevOps culture.

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Azure devops svn

Azure devops svn Azure devops svn Headlines Azure devops svn ServiceNow Integration with Azure DevOps (VSTS) The integration of Azure DevOps with ServiceNow enhances collaboration between the customer service and development teams. This, in turn, helps resolve the customer issues faster and gives visibility to both teams into customer priorities. Integration overview In an Application Lifecycle…