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2017 Predictions: Five Things to Come for Cloud-Native Applications

With new open source projects launched by major players across the board, the momentum behind containerized, cloud-native infrastructure is undeniable.

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Adeesh Sharma
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No doubt about it, 2016 was the year of the container. With new open source projects launched by major players across the board (including VMware, which launched vSphere Integrated Containers as an open source project), the momentum behind containerized, cloud-native infrastructure is undeniable.

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What does 2017 have in store, then? Here are five things we expect to see.

1.       Kubernetes Will Break Away From the Pack of Container Schedulers

In 2016, a three-horse race emerged in the container scheduler space between Docker Swarm, Kubernetes, and Mesos. We predict that Kubernetes will take the lead in 2017. We’re already starting to see increased interest in Kubernetes from users, vendors, and the open source community. Next year, we’ll see Kubernetes continue to break away from the pack with more users and production deployments and many new features that will increase its appeal to an ever-widening audience.

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2.       Containers Will Increasingly Use Virtualization Technologies

Today’s containers rely on technologies built into the Linux kernel, including control groups and namespaces, to isolate containers from each other on the host machine. But a number of companies are already experimenting with using lightweight operating systems and the virtualization features baked into modern CPUs to transparently start a lightweight VM for each container that’s launched. This approach could potentially increase isolation and security for containers without adding any additional overhead, and we predict you’ll hear big noise around the idea in the coming year.

3.       Container Persistence Technologies Will Mature and Start Seeing Production Use

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Thus far, most containers are “stateless”—in other words, the data inside the container is destroyed when the container instance shuts down, and any necessary application state must be stored in an external database or other form of storage service. This is largely due to the immaturity of the container persistence technologies available on the market today. However, with the advent of new capabilities like Kubernetes’ PetSets, up-and-coming technologies like those from PortWorx, and our own container persistence efforts such as the Docker volume driver for vSphere, we’ll soon see increased levels of maturity for container persistence, and we’ll finally start seeing stateful containers in production use.

4.       The Number of Container Security Solutions Will Explode

Security is top of mind for most container users—it rates high in survey after survey. It should, as the security issues around containers are wide-ranging. Container images may include old versions of libraries with security vulnerabilities. Linux containers share a kernel and thus expose a porous security boundary. And container networking security is still in its infancy. But there is a light at the end of the tunnel: as we start to see more and more production use of containers, companies will increasingly demand security solutions to ensure their critical applications and data are not unduly exposed.

5.       Pivotal Cloud Foundry Will Get the Credit it Deserves

Container technologies have stolen the spotlight over the last several years. Meanwhile, the Pivotal Cloud Foundry (PCF) open-source, cloud-native application platform has been silently building up a large customer base of loyal cloud-native developers and operators. The company’s run rate crossed the $200 million mark this year, indicating strong and continued growth across industries. Pivotal’s Spring Boot framework has been growing at an astronomical rate, exceeding 2.5 million monthly downloads and fuelling interest in PCF as the production runtime. Next year will finally be PCF’s time to shine.

cloud-computing vmware
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