Top Technology Trends of the Year: Cloud, Containers, Microservices, DevOps, and More

The rapid pace of change means many technologies that dominate this year were barely known a year ago, and they are expected to stay hot as the industry accelerates.

Last year's trends such as JavaScript dominance, new security identification methods, memory storage, and the growing influence of developers in enterprises now appear outdated.

1. Public Cloud Success. The convergence of IaaS and PaaS makes building, testing, and deploying applications on public clouds easier; major providers like AWS now offer multiple PaaS options.

Meanwhile, private cloud has stalled due to high costs and operational complexity, prompting companies like GE to bet on public cloud services.

2. Container Frenzy. Docker enables lightweight, portable application packaging within Linux containers, and its collaboration with Microsoft brings Windows containers into the mix, extending Docker’s role beyond dev‑test to cloud‑native production.

While moving a single containerized app is simple, orchestrating groups of apps across multiple containers is more complex; the Docker ecosystem (Kubernetes, Mesos, StackEngine) and cloud‑native services from Google Cloud and AWS address this challenge.

3. Microservices Architecture. Developers now prefer building applications from small, API‑exposed services rather than monoliths; Docker’s packaging and deployment capabilities accelerate microservice adoption.

Compared with the older SOA model, microservices are finer‑grained, use JSON instead of XML, REST instead of SOAP, and eliminate heavyweight middleware.

4. Liquid Computing. Coined by InfoWorld, this describes temporary networks that sync state across personal devices—e.g., Apple’s Handoff between iOS and macOS—while Microsoft, Google, and Samsung pursue similar cross‑device experiences.

5. Multi‑Cloud Management. Reliance on a single public cloud creates lock‑in; emerging tools (e.g., CliQr, RightScale) help dynamically allocate workloads across multiple clouds and optimize costs.

6. Endpoint Security Innovations. Solutions like Tanium provide near‑real‑time visibility of thousands of endpoints for patch compliance; Bluetooth‑LE proximity sensors enable phones as security keys, and Android 5.0’s “trusted places” reduce password prompts based on location.

7. Machine Learning. As a subset of AI, machine learning is gaining traction through big‑data frameworks such as Mahout and Spark/MLlib; IBM’s open Watson API and startups leveraging abundant compute power are reviving neural‑network research.

8. DevOps Resurgence. The integration of development and operations, supported by application lifecycle management, automated testing, database virtualization, release automation, configuration management, performance monitoring, and PaaS, is revitalizing agile delivery.

In some domains, DevOps is viewed as continuous developer responsibility for operational performance, but it fundamentally represents the most modern, efficient way to configure development and testing environments for global, high‑scale applications.

9. The End of Traditional Network Switches. Virtual networking, SDN, and abundant server compute are prompting a rethink of data‑center networking; projects like OpenFlow, LINCX, and NFV aim to virtualize functions such as load balancing, firewalls, and WAN acceleration.

Conclusion: Open Source Is Essential. Open‑source projects drive all nine trends, offering startups a platform to experiment, gather feedback, and build ecosystems around core technologies like Docker, Hadoop, and OpenStack.

The collaborative, self‑organizing model of open‑source development is already influencing enterprise software practices, and as IT spending shifts from hardware to cloud services and developer tools, companies that adopt the best processes and technologies will gain a competitive edge.