Tag: technology trends

  • 7 Trends Influencing DevOps and DevSecOps Adoption

    7 Trends Influencing DevOps and DevSecOps Adoption

    Enterprise technology adoption trends can be broadly categorized under three pillars: infrastructure, architecture and technology. Let’s explore what these trends are and how they influence DevOps and DevSecOps adoption in tech corporations worldwide.

    Trends in Architecture

    In computing, architecture is the collection of protocols encompassing the utility, structure and execution of software applications. Architecture defines how an application works and determines the function of each component, such as data storage and computing capability, for example. Architecture trends directly influence how technology is developed, which also makes it influential on the field of DevOps.

    Trend #1: Monolithic to Microservice Architecture

    The shift from massive, inflexible systems that limit compatibility to lightweight, nimble software has increased DevOps and DevSecOps adoption. As architectures such as containers become mainstream, it is easier than ever for teams to code, debug and deploy software quickly, and work collaboratively. Microservice architecture offers the benefit of quickly being able to install, run and maintain systems, and is a catalyst to greater DevOps adoption, while containers spur DevSecOps adoption.

    Trend #2: Cloud-First Trend

    Mobile-first, cloud-first development has revolutionized data transportation, security and collaboration, and made development efficient, safe and transparent. This approach leads many organizations to adopt DevOps/DevSecOps.

    Trends in Infrastructure

    In IT, infrastructure refers to software, hardware, networking resources, systems and tools that allow companies to operate and manage their production processes.

    Infrastructure trends also heavily influence both the hardware and software tools companies use for tracking and manufacturing their products, and therefore directly impact their willingness to adopt DevOps and DevSecOps.

    Trend #3: Kubernetes Plus/Minus DevOps

    A significant infrastructure trend that affects DevOps is the increasing adoption of Kubernetes by global technology companies. Kubernetes is open-source software designed to orchestrate the management, deployment and scaling of containers, and  has seen widespread adoption in the tech industry. Kubernetes empowers organizations to be more productive, with an emphasis on security and collaboration. Containers in Kubernetes seamlessly allow multiple teams to develop a project simultaneously. Resource management and transparency are significantly enhanced, bugs can be fixed more quickly and work cycles can be shortened.

    Kubernetes and container management systems also reduce the need for human interaction and facilitate a fully automated, ‘NoOps’ scenario. Kubernetes uses a pipeline architecture approach that makes it easier for developers to use AI and ML tools to analyze, predict, and automate data and work processes.

    Furthermore, Kubernetes sets an infrastructure backed on logging, continuous detection, consistency, and self-healing, making it extremely easy and considerably faster for computers to make sense of the data, potentially eliminating human interaction. The infrastructure established by the trendy Kubernetes technology is both advancing and restraining DevOps adoption in companies worldwide, depending on how the companies implement Kubernetes into their work cycle.

    Trend #4: The Agile Infrastructure Trend

    Agile infrastructure for software development has become the standard for software development, and is perhaps the most influential trend impacting DevOps adoption. Agile, like DevOps, focuses on collaboration, organization, diversifying skill sets to achieve resilience, rapid iteration and self-improving work processes. Adapting to an Agile methodology means each team has members skilled in various disciplines that work in concert. Each product delivered is followed by a feedback cycle. Agile teams in an enterprise are transparent, collaborative and resilient to internal and external conditions.

    Trends in Technology

    Advancements in technology enable new ways of thinking and new best practices. As tech trends change, the work cycles, processes and mindsets also evolve.

    Trend #5: Release & Deployment Automation

    Manually moving software between testing and production environments is an inefficient, painful task that must be repeated every time updates are added, new versions are released or new features are built. But with the rise of release and deployment automation, software companies can entirely automate this process, saving time while boosting reliability. With the click of a button, test code can be automatically converted to production-ready work and deployed to version controls or hosting services. With this use of automation, DevOps adoption skyrockets.

    Trend #6: Site Reliability Engineers

    Site Reliability Engineers (SREs) are in huge demand as organizations strive to create highly scalable and secure software. SREs build robust, reliable software that leverages automation, create self-healing systems that focus on operations and align closely with business imperatives.

    Trend #7: Shift Toward AI/ML

    The evolution of artificial intelligence and machine learning is changing our entire perspective on the development and use of technology. With increasing automation, ML systems can process large amounts of data, make reliable predictions and provide extremely accurate analyses. AI can make use of this data and these predictions to determine what to do next, and create truly intelligent machines that can function with minimal human interaction.

    While this makes systems faster, more autonomous and reliable—which aligns with what DevOps promotes—it can eventually create a NoOps cycle that doesn’t require human intervention. In the short-term, this trend does influence DevOps adoption, but, in the long term, AI/ML could ultimately eliminate DevOps altogether.

  • Five Technology Trends to Shape Future Investments

    Five Technology Trends to Shape Future Investments

    Humans invented technology to introduce innovative products in the market. Technology’s relentless cycle of innovation has now touched humanity, redefining what it means to be a human, a meaningful change that is impacting business priorities and is expected to do so in the future.    

    The most important tech investment for C-level executives relates to digital transformation, artificial intelligence (AI), Internet of Things (IoT) and cybersecurity. With 71% of the world expected to use mobile phones by 2024 and the successes of mobile banking in developing countries, experts predict that mobile and blockchain technologies will also join to bring about more financial inclusions.

    Here are five things that C-suite business people should invest in.

    Digital Transformation: Everything Online

    As one of the weapons in the arsenal of business innovation, digital transformation has become such a buzz word that it turns people on. According to a report by Forrester, 90% of the executives believe digital transformation is a necessity for their business, and around 60% believe they lag behind in digital transformation. By the end of 2020, a company would either have transformed or will be on its way to adapt to digital transformation.

    IoT: A Thousand Points of Entry?

    Business implementation of IoT and blockchain are very popular these days. However, if we look to enterprises it’s a different story. Costs, security and current political climate are the major hurdles for the enterprise-level implementation of IoT. To get the most out of this innovative technology, businesses need to determine what stands in their way and then work on strategies to sort things out. So until the issues are dealt with, IoT will be seen as a promising technology that’s not ready for prime time.

    AI: A Real Game-Changer

    Every so often a technology comes along that has the potential to completely change everything around it. The last such thing was cloud computing. Like cloud computing, AI has been around for a long time. AI, machine learning and deep learning are catching up with the initial promises and it will become more evident in the coming years.

    Most common usage of AI and machine learning will be seen in business intelligence, automating the repeated tasks, and making future prediction using the previous data. Previously, AI has been used for decision making using data analytics and this is expected to increase in the coming years with more businesses investing in the AI-driven decision-making system. Another use of AI that will be more common is digital identity verification for online businesses.

    Ultimately, AI/machine learning and deep learning will be seen more frequently in the years ahead. However, the promises it brings are far fetched and it’s worth waiting to see the true potential of AI.

    Quantum Computing: The Next Big Thing

    Currently, in R&D, quantum computing will open new ways by solving problems that require a lot of computation. Google’s investment in quantum R&D is expected to grow and more researchers will shift their focus from AI to quantum. With the emergence of 5G, the quantum research industry will see a boom.

    DevOps: For a Customer-Centric Approach

    According to the Forrester report, firms will embrace a customer-centric approach as the DevOps speeds flatter. DevOps continues to impress the heart and minds. However, with a slow-release speed, engineers are experiencing a stress point. DevOps teams must see this as an opportunity to approach DevOps differently. Within the next six to 12 months, DevOps adoption will change and the team will implement new strategies. Testing will revolve around previous radical methods and new technology will help developers to learn new skills.

    — James Efron