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DevOps is an English acronym for development and operations . It refers to a cultural and professional movement focused on communication, collaboration and integration between software developers and IT operations professionals. The term first emerged at the Agile 2008 Toronto conference in a talk on “ Agile Infrastructure ,” where Yhens Wasna and Patrick Debois talked about misunderstandings that arose between development and systems teams that delayed project delivery. Starting in 2009, the term became popular due to the celebration of DevOps days in Belgium, which were later replicated in several cities around the world. But what kind of conflicts arise between development and systems? The vast majority of software companies operate by keeping departments isolated from each other. On the one hand there are the developers , who must develop a product as quickly as possible, without neglecting innovation and guided by a great tendency to change. On the other hand, operations professionals must implement, configure and optimize resources for the correct functioning of the code, constantly seeking system stability. As developers complete code packages, they hand them over to operations for deployment to a production environment. During this process, it is quite common for errors to appear, which ends in an exchange of reproaches, blaming each other. While operations resolves the incident, new code continues to be sent from development to operations, which tries to slow down the process to stabilize and optimize the system as much as possible. This imbalance ends up generating conflicts and delaying the delivery of the project , which represents an economic cost for the business. And then comes DevOps DevOps arises to promote communication between departments , seeking common interests of all parties, automating processes and facilitating continuous integration. The application of its processes allows software to be manufactured more quickly, with higher quality, lower cost and a very high frequency of releases. Lifecycle The iterative life cycle in DevOps consists of the following stages or phases: Build : In this phase of DevOps, software development solutions are constantly carried out. dividing the entire development process into small cycles. This benefits the DevOps team to accelerate the software development and delivery process. Testing : The QA team uses tools to identify and fix bugs in new code on an ongoing basis. Release : In this phase, the new functionality is integrated with the existing code and testing is carried out. Deploy : In this stage, the deployment process takes place continuously. It is done in such a way that any change made at any time in the code should not affect the functioning of the high traffic website. Operate : In this phase, the operation team will take care of inappropriate system behavior or errors found in production, always working on a solid and stable system. Monitor : This last stage of a DevOps process is a permanent phase that applies to the entire complete cycle. Here the operation team will be in charge of defining the measures to monitor and control the health status of the applications and their infrastructure. Is DevOps a methodology? Some gurus define it as a methodology, others as a culture closely linked to agile methodology . The reality is that they are a set of procedures that effectively require a cultural change in companies and that allow for more agile and efficient teams to be built. But then, DevOps is not a profile? No, although you see job offers that ask for “DevOps Engineers”, it is not about a person carrying out the tasks of a developer and a systems operator at the same time. It is about creating cross-functional teams with development and systems administration profiles with a comprehensive vision of technical environments and in-depth knowledge of automation tools . And what about QA? Since this series of procedures has been standardized and implemented in companies, quality departments have also undergone a transformation, some experts say almost making them disappear. Traditionally, quality was always in charge of finding errors in a product already in operation, while integrated with DevOps, the objective is not to find them, but to prevent them , bringing forward new releases if everything is working or rolling back if errors are found. Technologies to apply DevOps If something characterizes DevOps, it is automation . Some tools such as Docker, Puppet, Jenkins or AWS Lambda are so associated with DevOps that it is difficult not to consider one or the other to accelerate development processes. Because the process of organizing, testing, and deploying code from integration tools is automatic, cloud infrastructure can keep up with the pace required by applications in today's market. What does a DevOps developer do? We are expert software development consulting firms of business software and all types of apps both in Madrid and internationally. We ourselves, as DevOps developers , apply the DevOps methodology so, if you have any questions or need expert recommendations about your project, contact us now without any obligation.

Automotive software development moves to the cloud We are at an inflection point for automotive embedded development to move to the cloud. In an era where software has not just eaten the world but is continuously redefining it through AI, the cloud emerges not just as a platform but as the foundational fabric for software engineering. With AI’s increasing demand for computational power driving unprecedented changes in silicon, both at the edge and in the cloud, the need for agile, scalable, and continuously optimized development environments has never been more critical. As the home of the world’s developers, GitHub is the platform to build the next generation of automotive and embedded development environments in the cloud. Traditional embedded development challenges Improving the developer experience is at the heart of what GitHub does. We’re dedicated to making coding as smooth as possible by reducing unnecessary complexity. The traditional process for developers working with embedded systems has plenty of friction to remove. Historically, software development has been very hardware-dependent with developers maintaining some combination of test hardware connected to their development machines or an in-house testing farm. There weren’t many alternatives because so much was proprietary. In recent years, a series of technical advancements have significantly influenced the foundational architectures within the field. Despite these changes, many traditional methods and operational processes remain in use. Key developments include the adoption of more powerful multipurpose processors, the establishment of open standards for the lower-level software stack such as SOAFEE.io for cloud native architecture at the edge, and the increased reliance on open-source resources, facilitating reuse across different domains. These innovations have provided developers with the opportunity to fundamentally rethink their approaches to development, enabling more efficient and flexible strategies. As the rate of these technical trends and foundational change increases, teams are finding it increasingly difficult to deliver application commitments without significant cost of maintaining these in-house development and test environments. See how Scalable Open Architecture For Embedded Edge (SOAFEE), an industry-led collaboration between companies across the automotive and technology sectors, is working to radically simplify vehicle software solutions. Virtualization for embedded and automotive development While virtualization has become a cornerstone of enterprise development, its integration into embedded systems has proceeded at a more cautious pace. The complexities inherent in embedded systems—spanning a vast array of processors, operating systems, and specialized software—pose unique challenges not encountered in the more homogeneous environments of data centers and IT networks. Embedded systems require a nuanced approach to virtualization that goes beyond simply accommodating mainstream operating systems like Windows and Linux on standard Intel architectures. In a significant development that reflects the evolving landscape of embedded systems, in March 2024, Arm unveiled its new Automotive Enhanced (AE) processors. These cutting-edge processors are designed to boost AI capabilities within the automotive sector, ensuring ISA (Instruction Set Architecture) compatibility. This advancement is poised to revolutionize the way applications are developed and deployed, enabling developers to create software in the cloud and seamlessly transition it to the edge, such as in vehicles, without the need for extensive reconfiguration or modification. This leap forward promises to accelerate the time-to-market for new applications, bridging the gap between cloud development environments and the nuanced world of embedded systems . This transition exemplifies how advancements in processor technology and virtualization are converging to address the unique challenges of embedded development, paving the way for more integrated and efficient systems across industries. Developers will be able to write, build, and test code in the cloud and then run their applications in virtualized environments with digital twins that mirror their processor targets, even if those targets haven’t even been delivered in the silicon. Cloud-based continuous integration platform Continuous integration (CI), a cornerstone of agile methodologies for over two decades, automates the build, test, and deployment processes. This automation accelerates feedback loops, enabling timely verification that the software meets the intended requirements. It also minimizes integration risks and enhances the early detection of defects and security vulnerabilities. While surveys indicate that many embedded development teams have adopted CI as a practice, managing the development environments across multiple hardware configurations and deployment targets is costly and complex. Implementing CI/CD in a cloud environment leverages the well-established advantages of cloud computing for embedded engineering teams, significantly enhancing their ability to deliver high-quality products within tight market timelines. Enhanced Scalability. Cloud-based CI allows teams to dynamically allocate resources and optimize compute spend. Teams can execute workloads in parallel in order to support multiple hardware and software configurations simultaneously. Developers can also participate across geographic regions or even across organizational boundaries within the supply chain. Reduced Complexity. Standardizing on cloud-based CI reduces environment setup and tear down times and promotes consistency. Workflows can easily be shared across teams. Improved Quality. When compute resources are too constrained or managing the CI environment is brittle, teams may optimize locally onto too narrow a piece of the development. Reducing this friction and thereby increasing the end to end feedback loops can improve quality. To deliver cloud-based embedded developer environments for the design and build time that feed into the runtime virtualized and simulated targets, GitHub needed to update our infrastructure. In October 2023, GitHub announced native Arm64 support for our hosted CI/CD workflow engine, GitHub Actions. Supporting this platform is important because Arm’s family of processor designs are central to many uses in the embedded and automotive world. This promises to free embedded developers from being tied to the desktop. By moving jobs to the cloud, development teams will be able to focus more on coding time and less on infrastructure management. We also recently announced the public beta of GPU hosted runners that will enable teams building machine learning models to do complete application testing, including the ML components within GitHub Actions. Conclusion The convergence of cloud technologies, advanced virtualization, and cutting-edge processor innovations represents a transformative shift in automotive software development. To further advance and support these transformations across the industry, GitHub has recently joined SOAFEE.io, as well as maintaining our membership in the Connected Vehicle Systems Alliance (COVESA) and supporting Microsoft’s commitment to the Eclipse Software Defined Vehicle project. GitHub Enterprise Cloud, along with Arm’s latest AE processors, heralds a new era where development and testing transcend traditional boundaries, leveraging the cloud’s vast resources for more efficient, scalable, and flexible software creation. This paradigm shift towards cloud-based development and virtualized testing environments not only addresses the complexities and limitations of embedded system design but also dramatically reduces the overhead associated with physical hardware dependencies. By enabling developers to seamlessly transition applications from the cloud to the edge without extensive rework, the automotive industry stands on the brink of a significant acceleration in innovation and time-to-market for new technologies. GitHub’s introduction of native Arm64 support and the public beta of GPU hosted runners on its CI/CD platform, GitHub Actions, further underscores this transition. These advancements ensure that the embedded and automotive development communities can fully harness the cloud’s potential, facilitating a shift from local, hardware-constrained development processes to a more agile, cloud-centric approach. As a result, developers can focus more on innovation and less on the intricacies of hardware management, propelling the automotive sector into a future where software development is more integrated, dynamic, and responsive to the rapidly evolving demands of technology and consumers. This transition not only signifies a leap forward in how automotive software is developed but also reflects a broader trend towards the cloud as the backbone of modern software engineering across industries. Learn more about GitHub-hosted runners and look for the public beta for Arm-hosted runners coming later this year.

The landscape of application development is rapidly evolving, propelled by the integration of Artificial Intelligence (AI) into the development process. Results in the Docker AI Trends Report 2024, a precursor to the upcoming State of Application Development Report, show interesting AI trends among developers, highlighted in this report. The most recent Docker State of Application Development Survey results offer insights into how developers are adopting and utilizing AI, reflecting a shift toward more intelligent, efficient, and adaptable development methodologies. This transformation is part of a larger trend observed across the tech industry as AI becomes increasingly central to software development. The annual Docker State of Application Development survey, conducted by our User Research Team, is one way Docker product managers, engineers, and designers gather insights from Docker users to continuously develop and improve the suite of tools the company offers. For example, in Docker’s 2022 State of Application Development Survey, we found that the task for which Docker users most often refer to support/documentation was creating a Dockerfile (reported by 60% of respondents). This finding helped spur the innovation of Docker AI. More than 1,300 developers participated in the latest Docker State of Application Development survey, conducted in late 2023. The online survey asked respondents about what tools they use, their application development processes and frustrations, feelings about industry trends, Docker usage, and participation in developer communities. We wanted to know where developers are focused, what they’re working on, and what is most important to them. Of the approximately 1,300 respondents to the survey, 885 completed it. The findings in this report are based on the 885 completed responses. Who responded to the Docker survey? Respondents who took our survey ranged from home hobbyists to professionals at companies with more than 5,000 employees. Forty-two percent of respondents are working for a small company (up to 100 employees), 28% of participants say they work for mid-sized companies (between 100 and 1,000 employees), and 25% work for large companies (more than 1,000 employees). Well over half of the respondents were in engineering roles — for example, 36% of respondents identified as back-end or full-stack developers; 21% were DevOps, infrastructure managers, or platform engineers; and 4% were front-end developers. Other roles of respondents included dev/engineering managers, company leadership, product managers, security roles, and AI/ML roles. There was nearly an even split between respondents with more experience (6+ years, 54%) and less experienced (0-5 years, 46%). Our survey underscored a marked growth in roles focused on machine learning (ML) engineering and data science within the Docker ecosystem. In our 2022 survey, approximately 1% of respondents represented this demographic, whereas they made up 8% in the most recent survey. ML engineers and data scientists represent a rapidly expanding user base. This signals the growing relevance of AI to the software development field, and the blurring of the lines between tools used by developers and tools used by AI/ML scientists. More than 34% of respondents said they work in the computing or IT/SaaS industry, but we also saw responses from individuals working in accounting, banking, or finance (8%); business, consultancy, or management (7%); engineering or manufacturing (6%), and education (5%). Other responses came in from professionals in a wide range of fields, including media; academic research; transport or logistics; retail; marketing, advertising, or PR; charity or volunteer work; healthcare; construction; creative arts or design; and environment or agriculture. Docker users made up 87% of our respondents, whereas 13% reported that they do not use Docker. AI as an up-and-coming trend We asked participants what they felt were the most important trends currently in the industry. GenAI (40% of respondents) and AI assistants for software engineering (38% of respondents) were the top-selected options identified as important industry trends in software development. More senior developers (back-end, front-end, and full-stack developers with over 5 years of experience) tended to view GenAI as most important, whereas more junior developers (less than 5 years of experience) view AI assistants for software engineering as most important. This difference may signal varied and unique uses of AI throughout a career in software development. It’s clearly trendy, but how do developers really feel about AI? The majority (65%) agree that AI is a positive option, it makes their jobs easier (61%), and it allows them to focus on more important tasks (55%). A much smaller number of respondents see AI as a threat to their jobs (23%) or say it makes their jobs more difficult (19%). Interestingly, despite high usage and generally positive feelings towards AI, 45% of respondents also reported that they feel AI is over-hyped. Why might this be? It’s not fully clear, but when this finding is considered alongside responses to perception of job threat, one possible answer could be entertained: respondents may be viewing AI as a critical and useful tool for their work, but they’re not too worried about the hype of it replacing them anytime soon. How AI is used in the developer’s world We asked users what they use AI for, how dependent they feel on AI, and what AI tools they use most often. A majority of developers (64%) already report using AI for work, underscoring AI’s penetration into the software development field. Developers leverage AI at work mainly for coding (33% of respondents), writing documentation (29%), research (28%), writing tests (23%), troubleshooting/debugging (21%), and CLI commands (20%). For the 568 respondents who indicated they use AI for work, we also asked how dependent they felt on AI to get their job done on a scale of 0 (not at all dependent) to 10 (completely dependent). Responses ranged substantially and varied by role and years of experience, but the overall average reported dependence was about 4 out of 10, indicating relatively low dependence. In the developer toolkit, respondents indicate that AI tools like ChatGPT (46% of respondents), GitHub Copilot (30%), and Bard (19%) stand out as most frequently used. Conclusion Concluding our 2024 Docker AI Trends Report, Artificial Intelligence is already shifting the way software development is approached. The insights from more than 800 respondents in our latest survey illuminate a path toward a future where AI is seamlessly integrated into every aspect of application development. From coding and documentation to debugging and writing tests, AI tools are becoming indispensable in enhancing efficiency and problem-solving capabilities, allowing developers to focus on more creative and important work. The uptake of AI tools such as ChatGPT, GitHub Copilot, and Bard among developers is a testament to AI’s value in the development process. Moreover, the growing interest in machine learning engineering and data science within the Docker community signals a broader acceptance and integration of AI technologies. As Docker continues to innovate and support developers in navigating these changes, the evolving landscape of AI in software development presents both opportunities and challenges. Embracing AI as a positive force that can augment human capabilities rather than replace them is crucial. Docker is committed to facilitating this transition by providing tools and resources that empower developers to leverage AI effectively, ensuring they can remain at the forefront of technological innovation. Looking ahead, Docker will continue to monitor these trends, adapt our offerings accordingly, and support our user community in harnessing the full potential of AI in software development. As the industry evolves, so too will Docker’s role in shaping the future of application development, ensuring our users are equipped to meet the challenges and seize the opportunities that lie ahead in this exciting era of AI-driven development. Learn more Introducing a New GenAI Stack: Streamlined AI/ML Integration Made Easy Get started with the GenAI Stack: Langchain + Docker + Neo4j + Ollama Building a Video Analysis and Transcription Chatbot with the GenAI Stack Docker Partners with NVIDIA to Support Building and Running AI/ML Applications Build Multimodal GenAI Apps with OctoAI and Docker How IKEA Retail Standardizes Docker Images for Efficient Machine Learning Model Deployment Case Study: How Docker Accelerates ZEISS Microscopy’s AI Journey Docker AI: From Prototype to CI/CD Pipeline solutions brief Containerize a GenAI app (use case guide) Docker’s User Research Team — Olga Diachkova, Julia Wilson, and Rebecca Floyd — conducted this survey, analyzed the results, and provided insights. For a complete methodology, contact uxresearch@docker.com. View the full article

With today’s Q4 2023 data release, the GitHub Innovation Graph now offers four full years of data on eight metrics–Git pushes, repositories, developers, organizations, programming languages, licenses, topics, and economy collaborators. We’ve also made some clarifying updates in response to community feedback we’ve heard since we launched. But first, let’s briefly bask in the glory of having four full years of quarterly data to explore by taking a quick look at some of the seasonal patterns that show up in the data. Long-time visitors of the GitHub Innovation Graph will, of course, remember that the “hacktoberfest” topic prominently exhibits seasonal variation: Rank of topics globally With the benefit of another full year of data, we’d like to highlight another popular cyclical developer pastime that might have flown under the radar for those who haven’t explored the underlying dataset files, as its lower ranking prevents it from appearing in our site’s summary charts: Advent of Code. Pushers and rank for the “advent-of-code” topic Dotted lines indicate where there are gaps between quarterly data points due to the activity not meeting our minimum threshold for reporting. Advent of Code is an annual event founded and run by Eric Wastl, where participants solve daily coding challenges from December 1 to December 25. Often, developers participate in Advent of Code as a reason to try learning a language they’re less familiar with, sometimes with the encouragement of developer advocate programs. We can see this trend emerge in the following plots based on the Innovation Graph’s programming languages dataset: Pushers and rank for the COBOL programming language In case you missed it, these are the developers who, with the help of AI, will save us from the next financial crisis. Pushers and rank for the Julia programming language Pushers and rank for the ABAP programming language Pushers and rank for the Elm programming language Pushers and rank for the Erlang programming language Pushers and rank for the Processing programming language Pushers and rank for the Brainf*ck programming language Pushers and rank for LOLCODE programming language Dotted lines indicate where there are gaps between quarterly data points due to the activity not meeting our minimum threshold for reporting. Sometimes, it’s also interesting to see when cycles are broken, which we’re seeing with the steady rise of documentation: Global ranking of the “documentation” topic The seasonal variation in the “documentation” topic from Q1 2020 through Q4 2022 might be related to Google Season of Docs, a program to help open source projects with documentation, which has been operating since at least 2019. However, we didn’t see the usual cyclical dip of the “documentation” topic during 2023, which might be explained by the release of chat-based generative AI interfaces like ChatGPT in November 2022 and several similar products shortly afterwards, including GitHub Copilot Chat in March 2023. While we recognize that it’s not a panacea, perhaps generative AI technologies are helping to reduce the friction around writing documentation to enable maintainers and contributors to update project documentation more widely and frequently. Programming languages and GitHub profile README configuration topics are now excluded from the Topics bump charts In terms of changes to the graph’s functionality, the Topics bump charts on the global metric page and individual economy pages no longer display programming languages or topics related to GitHub profile README configuration (“config” and “github-config”). As you can tell from the preceding sentence and heading, we have no qualms against repeating largely the same information multiple times. However, our repetition in including programming language-related topics in the Topics bump charts (despite the Innovation Graph also having dedicated Programming Languages bump charts) had the unfortunate effect of taking up so much space in the chart that it prevented users from noticing interesting movements of other topics (including those of advent-of-code!). Additionally, we figured that few readers outside of the GitHub teams responsible for the feature would be interested in the adoption of GitHub profile README configuration files, so we’ve excluded those from rendering, too. Before: After: NOASSERTION changed to “Other” in the Licenses bump charts As noted in feedback we received shortly after the launch of the Innovation Graph, the NOASSERTION classification is likely confusing to most Innovation Graph visitors, so we’ve updated the rendering on the bump charts to display “Other” instead. Before: After: Clarification: the repositories, developers, and organizations metrics include “inactive” entities We’ve also added an explanatory note for the repositories, developers, and organizations metrics to highlight that these counts include inactive entities (for example, not just users who were active during a given quarter). So, there you have it. We’ve now got four full years of data to explore. Countless more stories no doubt abound within the data, so don’t wait–spin up a Jupyter Notebook via GitHub Codespaces, ask Microsoft 365 Copilot in Excel, or use any of the vast array of open source data analysis tools out there to explore the files, and we can’t wait to see what you discover. The post Explore the seasons of software development with four full years of data appeared first on The GitHub Blog. View the full article

Custom software development is about creating unique programs and applications. They are designed to meet the specific needs of a business or organization. Unlike off-the-shelf software, custom software is built from scratch. It can be fully customized to fit the exact requirements of the user. This offers greater flexibility, efficiency, and optimization in processes. Custom software development benefits both small startups and large corporations. It provides a solution to streamline operations and enhance productivity in today’s tech-driven world. Key Aspects of Custom Software Development Custom software development involves creating specific solutions for business needs. By collaborating with a development team, a company can design software that integrates smoothly into its operations. This process can address unique challenges and ensure the system can grow with the organization. The CEO oversees these projects to maintain control and meet the company’s requirements. Testing is crucial to guarantee security, efficiency, and user-friendliness. Developing custom software allows tailoring features, improving flexibility, and streamlining processes. Documentation provides insight for future integration and scaling, giving more control over operations. Benefits of Custom Software Development Advantages for Businesses Custom software development helps businesses by creating tailored solutions to meet their specific requirements. Working with a custom development team allows companies to design software that seamlessly integrates with their existing systems. This ensures efficiency and control over operations. Unlike off-the-shelf software solutions, custom development offers the flexibility to customize features and functionalities to meet unique needs. This provides scalability for future growth. Custom software development also ensures tighter security and data control since the software is designed specifically for the organization. Ongoing support and documentation from the development team help businesses maintain and scale their software solutions as operations evolve. Meeting Unique Business Situations Custom software development is when businesses create software specifically for their needs. This software can work well with their current systems, ensure security, and expand easily as the business grows. It gives businesses the freedom to customize features, improve processes, and increase efficiency. However, challenges like scalability, user control, and documentation can come up during development. Unlike ready-made software, custom software takes more time and resources to build but addresses a business’s needs better. A skilled team can create custom software that overcomes challenges, providing a scalable, efficient, and secure solution. Differentiating Custom Development from Off-the-Shelf Software Custom software development is when a business creates software specifically for its own needs. It’s different from ready-made software because a development team starts from scratch to address the organization’s unique challenges. This process gives the business more control over how the software is made, ensuring it works well with current systems. Custom software also offers better security and can grow with the business over time. The focus is on user experience, data security, and efficient operations, which might not be available in standard software. Additionally, custom software development usually includes detailed guides and continued support to help with integration and functionality. Custom Software Design Tailoring to Meet Your Needs Custom software development is all about tailoring software to meet the user’s specific needs. When you work with a custom development team like Binary Studio, they help design unique software solutions for your business. This customized approach ensures the software fits your organization’s challenges and requirements perfectly. It offers more control and efficiency compared to ready-made solutions. Development processes can be adjusted to include necessary features, scalability, and security measures tailored to your operations and data integration needs. Custom software development also brings flexibility and scalability benefits, creating a system that can grow with your organization over time. By opting for custom software, companies can guarantee their applications are efficient, user-friendly, and cater to individual client needs through personalized design and documentation. Custom Software Testing Importance of Testing in Custom Development Thorough testing is very important in custom development projects. It helps ensure the success of custom software development. By testing the software rigorously, the development team can find and fix any issues or bugs before delivering the final product to the client. This is crucial for meeting the specific needs and challenges faced by the organization. Custom software is designed to fit the unique requirements of a business. Without proper testing, the system may not work as intended. This can lead to operational problems, security issues, and potential data breaches. Testing also helps in making the software scalable and controllable. It allows for easy integration and efficient scaling as the business grows. On the other hand, relying only on out-of-the-box solutions without thorough testing can limit features, flexibility, and efficiency. This can hinder the project’s overall success. Therefore, testing is a significant part of the development process. It ensures that the custom software solution meets the company’s goals and user expectations. Custom Software Requirements How Requirements Drive Custom Development Specific requirements are very important in custom software development. They influence every part of the process. Tailoring features and functionality to meet a business or organization’s unique needs is vital. This is something off-the-shelf software cannot do. Detailed requirements guide the entire development process. They help in designing, integrating, and testing the software to ensure it meets the client’s expectations. Client expectations are crucial in shaping these requirements. They affect how the development team addresses the organization’s challenges. Custom software solutions are designed to tackle the specific needs of businesses. They offer benefits in efficiency and flexibility. Creating software that meets specific requirements allows for future scalability and operations. This helps in addressing both current and future needs. CEO’s Role in Custom Software Development CEO’s Involvement in Custom Development Projects The CEO’s involvement in custom software development projects is important. It helps ensure that the software meets the business’s specific needs. The CEO can give valuable insights to the development team. This helps align the software design with the company’s goals. When the CEO is part of the process, the company gets tailored solutions. These solutions address unique business requirements. This is better than using ready-made software. The CEO’s involvement can also improve control, scalability, and security. By working closely with the team, the CEO helps make the software efficient and flexible. This leads to increased efficiency and productivity in the organization. Challenges and Disadvantages of Custom Software Development Drawbacks for Growing Businesses Growing businesses in custom software development often face common drawbacks: Meeting specific requirements can be challenging. Integrating systems may pose difficulties. Ensuring security and data control is essential. These challenges can lead to delays, increased costs, and functional issues. They can limit process efficiency, design flexibility, and feature customization, impacting business success and scalability. Additionally, the lack of proper documentation and support can create challenges for the development team and users. When deciding between out-of-the-box solutions and custom development, it’s important to consider the advantages of tailored software against potential drawbacks in time, resources, and maintenance. Obstacles for Older Businesses Looking to Modernize Software Older businesses who want to update their software often struggle with money because custom software development is expensive. They need a skilled team to create software that fits their needs, which adds to the costs. Lack of tech knowledge in the company can also slow down the process, as understanding how custom software works is important for modernization. Migrating data from old systems and integrating new software can be hard and take a lot of time. This is why it’s important to invest in custom software development companies. These companies can offer software that is made specifically for older businesses, making their operations more efficient, scalable, and under their control. Key takeaways Custom software development is creating software solutions to meet specific needs. It involves designing, developing, testing, and deploying unique software applications tailored to individual requirements. This helps companies streamline operations, improve efficiency, and gain a competitive edge in the market. FAQ What is custom software development? Custom software development is the process of creating tailor-made software solutions to meet specific business needs. Examples include CRM systems, inventory management software, and online booking platforms. Why should a company consider custom software development? A company should consider custom software development to meet specific business needs, increase efficiency, improve customer experiences, and gain a competitive advantage. Examples include creating a unique customer portal, automating internal processes, and integrating software systems for seamless operations. What are the benefits of custom software development? Custom software development offers tailored solutions specific to your business needs, leading to improved efficiency, seamless integration with existing systems, increased productivity, competitive advantage, and better scalability. For example, a customized CRM system can streamline customer management processes, resulting in better customer service and retention. How is custom software development different from off-the-shelf software? Custom software development involves creating software tailored specifically to an organization’s unique needs and requirements, while off-the-shelf software is pre-built and available for purchase by anyone, with generic features that may not fully address specific needs. Examples of off-the-shelf software include Microsoft Office, Adobe Photoshop, and QuickBooks. What are the steps involved in custom software development? The steps involved in custom software development include: Gathering requirements (e.g. meetings with stakeholders). Designing the software (e.g. creating wireframes). Development (e.g. coding). Testing (e.g. quality assurance). Deployment and maintenance (e.g. ongoing updates) The post What is custom software development? appeared first on DevOpsSchool.com. View the full article

DevOps – a combination of ‘Development’ and ‘Operations’, has revolutionized the landscape in software development. The growing need for quality software has placed a burden.....View the full article

Docker’s commitment to empowering developers and organizations is evident in its ongoing investment in the Docker Business subscription, which includes Docker Desktop, Docker Hub, and Docker Scout. Through collaborative efforts with a vibrant user community and customers, Docker has pioneered best practices and innovations that significantly streamline application development workflows. Today, Docker Business — Docker’s solution that supports organizations of every size in optimizing DevOps, CI/CD, debugging, and IT processes — marks a significant step in enhancing enterprise development efficiency. The recent Forrester Total Economic Impact™ (TEI) study commissioned by Docker underscores for us the measurable benefits experienced by Docker Business users, including accelerated development agility, reduced time-to-market, and substantial cost savings. Maximizing resource efficiency with Docker Docker Business transforms the developer experience by simplifying workflows across multiple development phases. While its prowess lies in optimizing DevOps, CI/CD, and IT processes, Docker’s solution does this by consistently supporting a higher quality and more intuitive management experience for seamlessly packaging, distributing, and executing applications across diverse computing environments. This way of offering a combined developer interface and toolset makes creating containerized applications easier. This approach also reduces complications linked to separate solutions and old-style virtual machines (VMs), making data centers work more efficiently. Enhanced security and rapid deployment Security remains a pivotal focus for Docker Business, employing robust measures like isolation and encryption to safeguard applications and data. The streamlined development cycles enabled by Docker Business expedite application deployment and testing, fostering a culture of innovation and agility within enterprises. Key insights from the Forrester TEI™ Study Forrester conducted comprehensive interviews with representatives from top global technology manufacturers, consolidated and referred to as a composite organization, uncovering Docker Business’s capacity to tackle issues associated with slow legacy systems and costly VM dependencies. The study also shows compelling statistics highlighting Docker Business’s impact on the composite organization: 6% increase in application developer productivity Improved DevOps engineer-to-developer ratio from 1:20 to 1:60 3x reduction in servers due to increased VM density 3 months faster time-to-market for revenue-generating applications Embrace Docker Business for transformational outcomes The transformative potential of Docker Business is evident in its effective resolution of legacy system challenges and dependency on traditional VMs with a secure and flexible development platform built to ensure enterprises, teams, and developers’ success. Docker Business opens the door to remarkable benefits for organizations by enhancing developer velocity, accelerating development agility, reducing time-to-market, and delivering substantial cost savings to the business. Download the full Forrester Total Economic Impact™ (TEI) study to learn more about how Docker Business with Docker Desktop, Docker Hub, and Docker Scout fosters a positive total economic impact. Learn more Download the Forrester Total Economic Impact™ (TEI) study. Get the latest release of Docker Desktop. View the full article

The practise of employing a third-party organisation or individual to handle any or all components of the software development process is referred to as software development outsourcing services. Design, development, testing, maintenance, and support are all examples of activities that can be outsourced. Here are some of the advantages of outsourcing software development: 1) Outsourcing frequently allows organisations to dramatically lower development costs. 2) You can gain access to a global pool of qualified software engineers and other IT workers via outsourcing. 3) Outsourcing allows you to scale your development workforce up or down as needed. 4) Outsourced teams can typically expedite development cycles, allowing you to get your products or services to market faster since they have access to a larger and more experienced workforce. 5) Outsourcing organisations are frequently on the bleeding edge of technology trends and may provide access to the most up-to-date tools, frameworks, and techniques, guaranteeing that your software is produced using cutting-edge technology. 6) Outsourcing organisations frequently have compliance knowledge and can guarantee that your software complies with industry-specific legislation and standards. A successful outsourcing engagement requires effective communication, precise project requirements, and the selection of the suitable outsourced partner. Appsierra can assist you with the careful planning and ongoing management required to reap the full benefits of software development outsourcing.

There is a famous quote by Peter Drucker that states, “You can’t manage what you can’t measure.” In our industry, measuring how quickly we can get working software into the hands of our customers has become a mantra for agile development teams, and it’s even being talked about in the boardrooms. Customers measure the value […] View the full article

It should be no surprise to folks that agile software development grew out of manufacturing systems developed for exactly the same reasons – to build things more efficiently. View the full article

Software development companies are responsible to design, develop as well as maintain applications or other software components for businesses or consumers that eventually are meant to increase business’s productivity. Benefits of software development : Increases the value of the company. Increases the flexibility of the business. Reduces cost on training, licenses, and upgrades where possible. Empowers organizations to operate efficiently. So, if you have plans to hire a developer for your business then partner with Appsierra as it is the most trusted among software development companies in London, Appsierra is here to lead a matchless app development service. It has held an eminent benchmark in the tech world. With our Quality assurance specialist and experienced engineers we deliver the productive results.

CloudBees CEO Anuj Kapur told DevOps World attendees that the current state of software development in enterprise IT organizations is a disaster. View the full article

We are all looking to advance our careers and to find tips and tricks to help us get the leading edge in the industry. Technology certifications are a great way to to prove you have the expertise needed for the job. Sure, having expertise certainly helps when it comes to being more efficient with practical, […] The article How Adoption of ChatGPT Can Benefit Your Career in DevOps, SRE or Software Development appeared first on Build5Nines. View the full article