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Data protection is a hot topic in today’s digital age. With the rise of social media and the increasing amount of personal information we share online, it’s more important than ever to understand how our data is being used and protected. | data security One of the key issues surrounding data protection is the concept of consent. When we share our personal information with a company or organization, we are essentially giving them permission to use that information in specific ways. However, it’s not always clear what we are consenting to, and this lack of transparency can lead to problems. For example, have you ever read the fine print in a website’s privacy policy? If not, you could be missing out on important information about how your data will be used. In many cases, these policies are written in complex legal language that can be difficult to understand. This makes it hard for us to know exactly what we are agreeing to when we click that “agree” button. So what can we do to protect our data and ensure that it is used responsibly? One solution is to be more selective about who we share our information with. Before giving out your personal information, take the time to research the company or organization and read their privacy policy. This will help you understand how your data will be used and give you the opportunity to opt out if you’re not comfortable with their practices. Another important step is to take advantage of the privacy settings and tools offered by social media platforms. These can help you control who can see your personal information and what they can do with it. For example, you can choose to make your profile private, or limit the information that is visible to others. In addition to being proactive, it’s also important to stay informed about data protection laws and regulations. These can vary depending on where you live, so it’s worth doing some research to understand your rights as a consumer. Overall, protecting your data is an ongoing process that requires attention and effort. By being aware of how your data is being used and taking steps to control who has access to it, you can help ensure that it is used responsibly and kept safe.

Initially, it is very important for us to know the basic meaning of the terms Waterfall and Agile, before exploring the differences between them. In a simple way, we describe, Agile means ‘able to move quickly and easily’ and hence that is what it means when it comes to the Agile development methodology. | Waterfall vs Agile The waterfall model is a linear sequential model in which the progress flows majorly in one direction downwards through the phases of requirement gathering, analysis, design, development, testing, deployment, and maintenance. The finished product is delivered once to the customer at the end of the deployment phase. This is the oldest model for software development. Agile is a method of project management that is represented by splitting of tasks into shorter segments of work with frequent reviews and adaptation of plans. Waterfall vs Agile This same example applies to the concept of project management when it comes to the waterfall model. This is a method of project management, that is represented by serial stages and a fixed plan of work. In the Agile approach, the software development, the whole project is broken down into small manageable Segments or units. Agile is based on the iterative development model where the requirements and the solutions grow through a collective effort of self-disciplined & the cross-functional teams and their customers/stakeholders. There are multiple iterations (often called Sprints) of adaptive planning, design, development, testing (these phases also overlap with each other in the sprint) and delivery. At the end of each sprint, an MVP (Minimum Viable Product) is delivered. MVP (Minimum Viable Product) is agreed to a subset of the product features. Waterfall methodology is a model, where each stage of the product’s life cycle occurs in a sequence. The progress of the project flows gradually downwards, which resembles a waterfall. Agile methodology is a model that follows a linear, sequential, and iterative approach. This model believes in a one-time massive whole delivery. This model believes in multiple small chunks (unit) of delivery at defined time intervals. The product is delivered at the end of the SDLC. An MVP (Minimum Viable Product) is delivered at the end of each sprint. It’s a traditional and old-fashioned approach. It’s a new and modern approach. One single cycle and single release. The repetitive number of iterations and multiple releases. It divides the software development lifecycle into different phases. It divides the software development lifecycle (SDLC) into sprints. This project has gotten so big, I’m not sure I’ll be able to deliver it! It’s so much better delivering this project in bite-size sections the process is treated as one, a single project which is further divided into different phases. The process is divided into multiple projects and each project has its own iteration of different stages. Structured and rigid model. This methodology is known for its flexibility. Long-term planning scale. Short term planning scale. A long-distance exists between the customer and the developer. A short distance exists between the developer and the customer. Long time between specification and implementation. The short time between specification and implementation. Takes a long time to discover problems. Problems are discovered quickly. High project schedule risk. Low project schedule risk. Less ability to respond quickly to change. High ability to respond quickly to change. The testing phase occurs only after the completion of the development phase. Testing is generally performed in parallel with the development to ensure quality continuously. The customer is involved only at the requirement gathering phase and after, there is no involvement of the customer. DevOps is great for your organization. Consult the TeamITServe team for DevOps integration today. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com or visit the contact us section on the TeamITServe website.

Kohsuke Kawaguchi, who is a Java developer, working at SUN Microsystems, was tired of building the code and fixing errors repetitively. In 2004, he created an automation server called Hudson that automates build and test task. | Jenkins Basics In 2011, Oracle who owned Sun Microsystems had a dispute with Hudson open-source community, so they forked Hudson and renamed it as Jenkins. Both Hudson and Jenkins continued to operate independently. But in short span of time, Jenkins acquired a lot of contributors and projects while Hudson remained with only 32 projects. Then with time, Jenkins became more popular, and Hudson is not maintained anymore. What is Continuous Integration? Continuous Integration (CI) is a development practice in which the developers are needs to commit changes to the source code in a shared repository at regular intervals. Every commit made in the repository is then built. This allows the development teams to detect the problems early. Continuous integration requires the developers to have regular builds. The general practice is that whenever a code commit occurs, a build should be triggered. Continuous Integration with Jenkins Let’s consider a scenario where the complete source code of the application was built and then deployed on test server for testing. It sounds like a perfect way to develop software, but this process has many problems. The whole process was manual which increases the threat of frequent failure. contact the TeamITServe team today for help. If you are looking for experienced professionals for your organization, contact us at vic@teamitserve.com.

Git is a distributed SCM (source code management tool) and is one of the most used DevOps tools. There are two types of version control systems centralized and distributed. Git is a distributed version control system. Users can save different versions of their source code and return to previous builds whenever necessary. Currently, the two best online Git repo hosting services are GitHub and Bitbucket. GitHub Git is a popular tool for collaboration among developers and, GitHub is an open-source platform based on the cloud for the developers using Git. GitHub has a community of around 30 million developers and, Microsoft acquired it for $7.5B in 2018. Individuals can work together on projects using GitHub and, since Git is a distributed version control system, each individual gets a separate file to work. People can open issues on GitHub to report errors and, the concerned developer can work on it seamlessly by creating an alternative source code. GitHub makes the process of code creation, sharing, and bug fixing effortless and seamless.  One advantage of using GitHub is the interface. Git requires a level of technical knowledge to operate but, GitHub is so user-friendly that even novice users can work it with ease. Some people also use it to complete other tasks like writing books because of how easily multiple people can work on the same project. GitHub as a platform has many paid services and business plans making it easier for organizations to manage employees, projects, and security. GitHub is fast, reliable, stable, and user-friendly. GitHub has an extensive library of guides and articles all related to Git. GitHub has made collaboration extremely easy for coders and organizations. Even as a platform for backing up projects, GitHub is right there competing with the best platforms. GitHub continues to evolve. With an open-source ecosystem, a large number of active users, and a very user-friendly interface GitHub is probably the best Git-based platform. Want to implement DevOps? Consult the TeamITServe team today for help. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com.