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What Changes Blockchain Technology Can Bring in Future?

Blockchain Technology /

Supply chain Industry | Blockchain technology In the current scenarios, where supply chain industry is spread over a larger area (national and global), there is a lack of transparency in this system. As manufacturing is global, it is hard for buyers to know the actual value of products. Blockchain technology offers a distributed ledger system that can be used for the exchange of data, agreements, tracking, and payments. In this system, every transaction will get recorded on a block whose multiple copies would be shared on multiple nodes (computers), it serves high-grade transparency, as everyone on the blockchain system can track the data related to a particular product. Moreover, the data is available in a secured channel, since every block is available in a collaboration with each other. Another property that makes it astounding is the facility of ‘consensus’. Actually, this system accompanies a single version of ledger throughout all entities, so there are no chances of dispute in the matter of transaction. For buyers, this property is a plus point, as they can check who is the real owner of the asset. Other than these, nobody can remove the records on this channel so it is not possible to break the transparency in supply chain. Ultimately, this technology can improve the accuracy and efficiency of supply chain. Food Industry You might be thinking that how can blockchain help in food production? Well, this is not about food production, it is solely dedicated to different tasks that take place after production. Let’s get a closer look at the ways, it can help in food industry. Experts are trying to improve different aspects of this sector, and one of them is food recalls. Today, foodborne illness is very common, and for companies, it is very hard to find contaminated packages from farm to stores. With the track and tracing property of blockchain, it is very easy to find out such packages. Along with this, the contamination report can be shared with all suppliers and can prevent damage. Such systems are very helpful for both restaurants and grocery stores, as when an outbreak of problem occurs, they can gather all the information from the source of food till the end delivery. It helps them in taking required actions. Except it, this can also enhance the labelling system and can prompt the weeding out of companies who make false claim or misrepresent the origin of products with the help of decentralize tracking system. Moreover, farmers and producers can view the commodity price and market data in real time. With this, they can take part in business more competitively and can be more productive. Voting If you think that blockchain system is beneficial for industries that handle heavy supply chains including buying and selling, then you are mistaking again. As this system can be used in voting, you should stop underestimate its flair. Shake off all your doubts, as this technology can integrate higher level integrity and transparency in elections. It can help in resolving various issues in the election by streamlining the process of vote counting. Moreover, as it takes the responsibility to count all votes, the cost of conducting election can be reduced. Here are some advantages that this technology can offer in the election system. * Voters can check that their vote was cast precisely and figure out tampering. * The election process would be more transparent as governments and independent parties can verify the results stored on the blockchain.

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three devops mistakes to avoid

Three DevOps Mistakes To Avoid

DevOps /

Adapting to change is not easy for any organization, but if you try hard enough and avoid these mistakes, your switch to DevOps will be smooth. | DevOps Mistakes 1. Failure to consider staffing and resources. | DevOps Mistakes If you do not have enough knowledge about the workloads of your team, and their capabilities of performing tasks, do not force them to adopt the DevOps strategy. Your DevOps developer will advise you to quantify the workload of each and the team as a whole. The next steps are devising key performance indicators (KPI) and ensure that they are well monitored. Understand the performance of all your employees, and use the information to arrange your workloads. Without adequately considering workloads and resourcing, you will have a team with unhappy employees who will be busy looking for other jobs in other companies. 2. Moving to DevOps without enough preparation Companies are rapidly moving to DevOps. The problem is that a DevOps engineer of an organization is assigned duties without evaluating his or her level of expertise in the field. Also, other companies are willing to take up develops projects with a small team of less experienced DevOps professionals to look different from the competitors. As a result, they end up delivering low quality work. Moving to DevOps is a brilliant idea, but only if you are well prepared and have vast experience. The level of skills has to be extremely high. For a DevOps developer to get a job, your level of experience and expertise have to maintain a threshold level. 3. Selecting speed over quality. Many organizations focus on manufacturing a product fast, instead of focusing on the quality. DevOps tasks must be accomplished by maintaining high standards. Since DevOps development requires speed, you do not have to replace quality with speed. On the other hand, you cannot compromise speed with quality. In today’s world, competition has become so stiff and staying relevant is a challenge. That is why many organizations rush to take up DevOps projects and finish them in the shortest time possible. As a result, the quality of the job is poor. Speed and quality must work hand in hand.

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Software Testing Services

Software Testing /

Software testing services should cover in the areas of testing strategy, methodology, process, and test competency assessment with an established Testing Centre of Excellence (TCoE) which provides centralized testing services function across project teams. Software testing keeps on evolving day-to-day. It ensures that a software/application is free of errors, glitches, or other bugs so that it offers users an incredible experience. Here are some types of Testing that can be performed on the software or application: Unit Testing – It centres around the smallest unit of software design. They consist of testing individual methods and functions of the classes, components, or modules utilized by your software. Smoke Testing – Smoke tests are fundamental tests that check the essential usefulness of the application. Integration Testing – Integration tests check that various modules or services used by your application work well together. Regression Testing – Every time a new and fresh module is added leads to changes in the program. This kind of testing ensures that the entire component works properly even after adding components to the complete program. System Testing – This software is tested such that it works fine for the different operating systems. Here, it includes security testing, performance testing, recovery testing, and stress testing. User Acceptance Testing – Acceptance tests are formal tests executed to check if a system fulfils its business needs. Clients require the complete application to be up and running and focus on replicating user behaviours. The customer acknowledges the software product only when all the features and functionalities work as expected. Stress testing – In this, we give unfavourable conditions to the system and check how they perform in those conditions. Performance Testing – Performance tests check the behaviours of the system when it is under significant load. These tests are non-functional Object-Oriented Testing – This testing is a blend of different testing procedures that help to check and validate object-oriented software. This testing is done in an accompanying way: Testing of Requirements, Design and Analysis of Testing, Testing of Code, Integration testing, System testing, User Testing.

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The Next Evolution of DevOps

DevOps /

1. Cloud-Native Technology in Production | DevOps As the cloud takes centre stage in pandemic recovery efforts, enabling millions of workers to work from home, maintaining supply chains globally, and rapidly transforming business models. In 2021, it estimates that the global public cloud infrastructure market will grow by 35% to $120 billion, about $7 billion higher than its previous predictions, which changed after reviewing the revenue growth of the big cloud companies, AWS, Azure, Google Cloud, and Alibaba. Next year, companies would be shifting to cloud-native computing to seize benefits such as greater efficiency, lower costs, higher speed to delivery, and management ease. Cloud-native applications make use of micro-services, containers, and an agile framework built on continuous delivery, which enables businesses to build more reliable systems, quicker. The competitive nature of business means that the cloud-native approach, which improves the speed and efficiency of application development is inevitable in the coming years. 2. Integration of DevOps and Security Security is defining the coming trends of DevOps significantly more than ever. The massive shift to the cloud occasioned by the pandemic means there must now be greater emphasis on cloud-based cybersecurity due to elevated security concerns. Amongst other lessons, the pandemic has shown that cloud cybersecurity for remote workers is tougher than expected. This has caused experts to suggest that the cyber pandemic might be next. DevOps is tied strongly to security; teams can build more secure applications if they integrate security earlier in the application development. With continuous testing and delivery, DevOps ensures that nothing is left to chance. Apparently, according to the Puppet State of DevOps retrospective, “integrating security throughout the software delivery lifecycle leads to faster software delivery with fewer security issues.” 3. Testing Shifts Further Left Not only is security shifting left; testing, as a whole, will shift much further left in the coming years. Fewer bugs at the early stages mean that developers can detect and fix them easier. Vulnerabilities discovered at the production stage can cost up to around $7600 to fix whereas the same vulnerabilities discovered at the early stages of development could be fixed for only $80-$85 then. Hence, the need for shift-left testing. And developers are responding appropriately as evidenced by the rising trend. One of the consequences of shifting left is that traditional testing teams are being stripped of testing exclusivity. That’s according to Capgemini’s Continuous Testing Report 2020. The report identifies the driving frameworks behind the increasing popularity of shift left as Model-based Testing (MBT), Test-driven Development (TDD), and predictive analytics/machine learning. DevOps can change the dynamics of your organization. Consult the TeamITServe team today for help. If you are looking for experienced DevOps professionals for your organization, contact us at vic@teamitserve.com.

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Waerfall

Waterfall vs Agile Model

Uncategorized /

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.

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Jenkins Basics by TeamITServe

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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.

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Agile IT Infrastructure

IT Infrastructure /

Agile is a philosophy—a mindset that is applied to enhance the provisioning, management, and operation of digital infrastructure. Agile promotes business-led development, whereby a product owner and package development team collaborate as one entity to deliver tasks that area unit prioritized supported business price. These tasks are delivered over a brief timeframe, like via two-week sprints | Agile IT Infrastructure Essentially, your infrastructure is way additional seemingly to be each secure and resilient if Agile ideas area unit enforced throughout the package engineering method. As a result, new digital products are often delivered to customers quickly, for example, Agile ways that of operating embody creating tiny, repetitious changes to deliver high-quality results with speed. you’ll conjointly spin up infrastructure once required, which keeps the value of innovation down. The advantages of getting Agile IT infrastructure area unit varied. The adoption of Agile strategies not solely promotes business growth, however, is additionally a good thanks to cutting back prices and improving team performance. By operating in sprints, groups will turn options additional usually and nurture their price throughout the business. Agile transformation conjointly allows organizations to supply new products or solutions to customers quicker, gain early feedback, and build changes, if necessary, therefore avoiding errors from the starting. Cost optimization is another profit to think about. Cloud companies pay-as-you-go strategy conjointly ensures that prices area unit unbroken to a minimum viable level. for instance, most limitations are often set for the scaling out of resources. most significantly, agile operating strategies eliminate the requirement for substantial direct investments, leading to the next to come back on investment (ROI). 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.

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A Guide to DevSecOps and its Implementation

Uncategorized /

DevOps DevOps is an efficient, time-saving, and relatively error-free process that ensures better software quality and high consumer satisfaction, a win-win for organizations. | DevSecOps According to Atlassian, 99% of the surveyed population in 2019 had stated that DevOps had a positive impact on their organization. The DevOps lifecycle has seven phases to ensure an efficient, automated, fast, and error-free development process. The different phases are as follows:  DevSecOps In recent years, we have seen that cyber-attacks have increased many folds, and even the most prepared organizations can’t deny the risk of undergoing a cyber-attack. Incorporating security is essential to the DevOps process as security can no longer be neglected or underestimated. Further, this increased level of threat has given rise to DevSecOps. Different models that the organizations can adapt to implement DevSecOps: DevSecOps Implementation Stages for Successful Implementation Consult the TeamITServe team for DevOps integration today. If you are looking for experienced DevOps professionals for your organization, contact us at vic@localhost or visit the contact us section on the TeamITServe website. A Guide to DevSecOps and its Implementation DevOps DevOps is an efficient, time-saving, and relatively error-free process that ensures better software quality and high consumer satisfaction, a win-win for organizations. According to Atlassian, 99% of the surveyed population in 2019 had stated that DevOps had a positive impact on their organization. The DevOps lifecycle has seven phases to ensure an efficient, automated, fast, and error-free development process. The different phases are as follows:  DevSecOps In recent years, we have seen that cyber-attacks have increased many folds, and even the most prepared organizations can’t deny the risk of undergoing a cyber-attack. Incorporating security is essential to the DevOps process as security can no longer be neglected or underestimated. Further, this increased level of threat has given rise to DevSecOps. Different models that the organizations can adapt to implement DevSecOps: DevSecOps Implementation Stages for Successful Implementation 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.

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DevOps Trends in 2021 || TeamITServe

DevOps /

DevOps (the concept) was introduced in 2008 by Andrew Clay and Patrick Debois to act as a bridge between developers and operations and eliminate dysfunction. We are now in the second decade of DevOps and, it’s no longer just about the developer and operations team but also about the customer. DevOps has come a long way since its inception and is going strong as more and more organizations are integrating DevOps for efficient development and delivery cycles. | DevOps Trends The Future of DevOps Security was already a concern in the digital world, Covid 19, and work from home has fuelled this concern to new levels. As more and more employees work from home, security is necessary at every layer of the business process. Businesses are adopting DevSecOps and will continue to do so in the future. More than 4 billion people are using the internet today and, Covid 19 has accelerated the growth of internet expansion and digital adoption. Users generate a lot of data for businesses to process. AI and ML technologies help organizations deal with the available quantity data in a fast and cost-effective manner and scale. The use of these technologies will only increase with time. Kubernetes is a popular open-source platform for container orchestration and helps in streamlining the entire software development cycle (building, testing, deployment). Kubernetes eliminates manual tasks and helps enterprises meet growing and changing consumer demands. Bugs are a nightmare for the security of any application. The Shift-left approach encourages finding and fixing these issues in the early stages of the development cycle as it is the cheapest to do so at that moment. By giving more importance to developers and security, code rollout has become relatively bug-free and cheap, and the situation will continue to improve in the future. 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.

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The DevOps Lifecycle | Basics on TeamITServe

DevOps /

The traditional software/application development process is very complex, with the development and operations teams working in siloes. The process is slow and error-prone. DevOps facilitates the modernization of the traditional development process by allowing development and operations to collaborate, from the development phase to the delivery phase of the software development cycle. DevOps is an efficient, time-saving, and relatively error-free process that ensures better software quality and high consumer satisfaction, a win-win for organizations. | DevOps Lifecycle The DevOps lifecycle has seven phases to ensure an efficient, automated, fast, and error-free development process. The different phases are as follows:  Every project has a vision, and the first phase of the DevOps lifecycle is laying the groundwork for the application based on that vision. Planning is completed based on the project. Once plans are in place, coding initiates as a part of the first phase. Commonly used programming languages for coding are Python, C/C++, JavaScript. Git is the most used Source Code Management (SCM) tool for setting up a centralized management structure for the project. Coding as a process has to be performed repeatedly in software development to ensure stable and bug-free functionality. In this phase, the developer integrates the updated code with the existing one. It helps to add new features to the software and fix bugs. This process ensures bug removal in the early stages, and the end-user gets to use a stable product. Jenkins is a popular DevOps tool used for updating the code and generating .exe format builds. As the name suggests, the developed code is tested continuously for bugs and glitches in this phase. One of the most common tools used for continuous and automated testing is Docker containers. Manual testing is a time-consuming and lengthy process. The automatic process allows the developer to test code multiple times in short periods, which is not possible with manual testing. It ensures that the development process is quick and the software is bug-free. Some popular DevOps tools used for automated testing are TestNG, Selenium and Junit. Bugs and glitches can completely ruin the software experience for the end-user. Enterprises need to keep their software and services bug-free and updated to sustain. In this phase, complete monitoring is done majorly by the operations team to check the software application and iron out bugs or any other recurring issues using tools like Sensu, ELK Stack, NewRelic, etc. This process results in a product that is more reliable and efficient for the customer. Feedback sharing is one of the biggest reasons which make DevOps so effective. Traditionally developers and the operations have worked in siloes resulting in a complex operating structure. DevOps encourages the two groups to collaborate, share feedback freely and instantly for a quick and efficient development cycle, increasing the overall quality of the code and the subsequent application. Users can also provide feedback which helps the developers push out relevant software updates. Consistency is the key with DevOps. Configuration management tools like Chef, Puppet, and Ansible are the most used in this DevOps lifecycle phase for continuously deploying the new code. Containerization helps to establish consistency across the various stages of the development, leaving low chances of failures and helping to scale up and down instances with ease.  This phase is the last in the DevOps lifecycle and probably the easiest. It helps in creating an automated development cycle for the software. Enterprises can deliver products and updates to the market quickly, ensuring high code quality and customer satisfaction. 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.

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