How to Scale End-to-End Observability in AWS Environments

How No-code and Low-code can transform your organization

in Programming , Continuous delivery , Machine Learning , Process Management , GitOps

    Using some no-code/low-code platforms, you can drive positive changes in the software development workflow in your organization. DevOps is also adopting the use of these platforms for increased speed and automation.

    Looking at no-code/low-code from the perspective of a business owner, it is a very empowering technology that will help you get things done quickly while spending less.

    The role of technology in every organization is massive today. Technological stakeholders in every organization are now using various software and applications to drive growth and improve the company’s business solutions.

    So when you think about building tech solutions as a non-tech founder, no-code and low-code avail you the opportunity to tap into the transformational potential of software and applications.

    As a developer or a CIO of a tech-based organization, no-code and low-code can help your team become faster, highly efficient, and productive. It improves the general agility of the organization in terms of satisfying and meeting clients’ expectations.

    No-code/low-code also allows you to scale your enterprise solution quickly.

    What is the one way No-code/Low-code is shaping the future of software development?

    In 2017, GitHub CEO Christ Wanstrath said in one of the company’s annual user conferences, “The future of coding is no coding at all.”

    Few years after Christ’s speech, no-code/low-code technology is genuinely changing the software development industry – even though it’s been around for a while.

    No-code/low-code is improving the software development workflow by helping it become more efficient. Businesses can quickly take care of their software development needs without waiting for a long development period.

    Developers can quickly understand their tasks, validate ideas, and get feedback on solutions they build for clients. It also helps them simplify the release of applications to production by allowing various platform-specific applications without maintaining separate development, testing, and deployment environments.

    If there is a one-way no-code/low-code is shaping the future of software development, it is increasing agility while enabling developers and software engineers to focus on their fundamental tasks, solving problems with technology.

    How No-code/Low-code platform may reinvent DevOps

    No-code/low-code is disrupting every workflow in software development, and DevOps is not left out.

    DevOps has become a necessary process for enterprises that want to deliver fast and durable solutions. This process involves using various tools and frameworks that require codes to fulfill the agility, continuous integration, continuous deployment, and continuous testing goals.

    No-code/low-code solutions will streamline this process and keep it as codeless as possible; to relieve the task of DevOps professionals.

    The goal of DevOps is to simplify and automate the process of building an application. No-code/low-code helps DevOps actualize this by providing easy to use graphical interface for professionals to define the necessary procedures with improved speed and accuracy. The no-code/low-code platform reduces hand-coding and the need to learn how to use so many tools before implementing DevOps. The use of no-code will even increase the rate at which containerized applications are deployed. DevOps professionals with low skill levels will be able to deploy applications while experts will be more efficient.

    No-code/Low-code platforms used in DevOps

    Developers and DevOps engineers are drivers for changes in every aspect of life, including the tools they use in driving the changes. This is why developers are keener to ease their tasks by adopting no/low code platforms in their workflow.

    Below are some of the no-code/low-code platforms built by developers and DevOps engineers to reduce friction in their workflow and improve their efficiency.

    No-code CI/CD platform

    No-code CI/CD platforms offer a set of tools and practices that you can use to reduce the complexity of the main 2 DevOps processes: CI and CD. It includes support for intuitive technologies to help you build, deploy and manage complex and straightforward containerized and non-containerized apps in an easy-to-use visual interface. These tools combine a wide range of DevOps tools to help you deliver consistent codeless infrastructure. Ideally, these platforms allow companies to manage both containerized and non-containerized applications in the same familiar interface.

    No-code Kubernetes

    Kubernetes is one of the most complex but beneficial technologies used in DevOps. Using no-code tools such as the ones below to handle the complexity of Kubernetes will reduce the learning curve and help you deploy Kubernetes applications faster.

    Wildcard

    Wildcard allows you to build, test, and deploy your cloud-native applications using the latest technologies like Docker and Kubernetes without writing a single line of code. It allows you to set up and run CI/CD pipelines for your applications while providing advanced security by storing secrets and sensitive information in a secure vault. It supports various web languages and frameworks including JavaScript (Angular, React, and Vue.js), Node.js, Python, .NET, Golang, and Rust. Wildcard also integrates with GitHub to sync your application code and keep its version in a repository.

    It’s a NoCode platform that provides a solution to help organizations, and developers, even those without DevOps experience or coding knowledge, to successfully implement and manage versioned infrastructure using NoCode CI/CD pipelines. It enables collaboration, auditing, and automation.

    You can use Wildcard to build, deploy, and manage applications without writing a single line of code. Start for free by singing using Github or GitLab.


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    How to Scale End-to-End Observability in AWS Environments

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