Emerging Trends in Software Development-Aug-2019
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The document discusses emerging trends in software development, highlighting the shift towards microservices architecture, serverless technology, and containerization to enhance scalability and efficiency. It also emphasizes the importance of continuous integration and delivery (CI/CD), feature flagging, and outcome-driven development to improve software quality and deployment processes. Other notable trends include increased incorporation of AI, blockchains, and progressive web apps, along with a growing focus on cybersecurity and real-time security testing.
Emerging Trends in Software Development-Aug-2019
- 1. Emerging Trends in Software Development By Nevill Nguyen – CEO & Solution Architect August 2019 nevill.nguyen@powergatesoftware.com
- 2. Microservices Microservices architecture (MSA) is a distributed network architecture that enables horizontally scaling and network redundancy. A microservice implementation will break an application in to separate deployments that correspond to business needs. Some examples of these business needs are: payments, authentication, and analytics. The migration from monolithic software stacks to serverless microservices is the path many software companies are taking to better isolate and compartmentalize software development. Breaking apart code in this manner allows small dedicated teams to focus exclusively on specific areas with minimal impact on the whole. Many large companies have already achieved this. The rest of us should follow. - Chris Kirby, Retired
- 3. Serverless-functions as a service A developer can write and upload a simple code function that takes input and returns output. The serverless platform will then expose this code function on a URL that can be accessed to utilize the function. This new process greatly simplifies the development-to-production release pipeline.
- 4. Containerization Containerization is an emerging trend that automates hosting and deployment responsibilities in DevOps Before containerization gained adoption developers would have no guarantees that their application would behave the same on different machines. Moving applications around between cloud machines or hosting providers was a risky and tedious move. Teams can now package complete system-level dependency stacks into a portable container which can then be initialized on any other machine. In many ways, I think this may already be true for a lot of organizations, but I think this is just the beginning of a widening trend. The Docker and Kubernetes ecosystem definitely help with moving forward as well, but I expect that within the next few years it will be more uncommon to see teams not using containers. - Zach Bruhnke, Halleman Bradley
- 5. Continuous integration and continuous delivery CI/CD puts in place guardrails that allow developers to push new code and features that then automatically deploy to production environments Before CI/CD gained popularity merging code and deploying were a much more cumbersome process. Deployments were risky affairs where teams would manually copy files between servers and the network could fail or desync a deploy across a cluster. The guardrails that enable CI/CD are version control systems, automated tests, and monitoring tools.
- 6. Multiplatform UI Development Many companies end up needing frontends for web, iOS and Android. Doing these three different ways is ineffectual. Several solutions exist to address the last two (e.g., Flutter, React Native, Xamarin), but few handle all three in a reasonably successful fashion. On the back end, serverless solutions will be popular for certain use cases. Containers and microservices will proliferate. - Manuel Vellon, Level 11
- 7. Feature flagging or feature toggling Feature flagging reduces the risk for deployments by allowing safe validation of features in a production environment before exposing them live to all live customers Once a feature flag rollout has been successfully, privately, validated it can be rapidly rolled out and change live customer experience.
- 8. Functional programming – formally verified software Functional languages can provide these higher quality offerings with features that lower the cognitive overhead of developers interacting and maintaining a code base. Organizations are finding that higher quality, well designed, user empathetic programing languages can lay a foundation for higher quality, well designed user empathetic business product output. This leads to less bugs and higher quality software. Discussions like maybe Object Oriented Programming was a mistake?
- 9. Outcome-driven development Outcome driven development (OOD) is a workflow process that encourages rapid, lightweight software development. ODD defines goals instead of tasks and assigns ownership of those goals to a team which will be responsible for meeting that goal and implementing. If you’ve ever experienced a team planning meeting where the general consensus was “why are we building this?” It might be time to try outcome-driven development.
- 10. Increased Third-Party API Integrations A rising trend of customers choosing to use external API instead of custom development. It takes less time for development and helps save money at the beginning. In a few years, developers will be working mostly on integration between different services instead of developing a custom software solution
- 11. Native Analytics Modules More and more products will include business intelligence and analytics modules natively in their solutions, reflecting the need to drive more value from the data these systems generate. Involving development to include natural language generation (NLG) in these BI and analytics modules will become a fundamental requirement as well. - Marc Zionts, Automated Insights
- 12. Blockchain Blockchain technology holds incredible potential for many industries, especially when used in tandem with internet-of-things (IoT) data, artificial intelligence (AI) and fog computing. Software developers will be focused on building disruptive, new solutions that leverage blockchain ledgers such as solutions to enable micropayments and smart contracts or end counterfeiting in the supply chain. - Maciej Kranz, Cisco Systems
- 13. AI-First Software Development AI and machine learning-driven product features are already an integrated part of software development for e- commerce, movie watching and social media. Now AI-first software, from conversational virtual assistants to self-driving technologies, are becoming mainstream in software development. - Mitul Tiwari, Passage AI
- 14. Cybersecurity - Earlier And More Frequent Security Testing The inevitable evolution of DevOps will be to include security testing earlier and at more points in the development pipeline. Security testing is currently a bottleneck for delivery, and the cost is highest to remediate code when done late in the cycle. Providing developers with real-time feedback on the security of the code they are writing is the ultimate goal to avoid delays and expenses. - Travis Greene, Micro Focus According to a research by Alert Logic, 18% of the organizations reported at least one security incident in the last one year. Protecting data loss and leakage (67%) is the biggest concern for cybersecurity professionals, followed by threats to data privacy (61%) and breaches of confidentiality (53%).
- 15. Progressive Web Apps The websites or web pages that look and act like native mobile apps or conventional apps are known as progressive web apps (PWAs). The PWAs provide benefits of mobile experience along with the features of browser technology. Gartner had counted PWAs as a software development trend in 2017 and it is likely to continue as a trend in 2019 as these apps are less complex to develop and maintain as compared to conventional mobile apps.
- 16. THANK-YOU! By Nevill Nguyen – CEO & Solution Architect nevill.nguyen@powergatesoftware.com https://powergatesoftware.com/