Although technology is constantly evolving, it must move in the direction that users desire. Although containers are developing, many IT professionals still demand more from the technology.
Despite all the attention that containers in the cloud have received from the IT community, they nevertheless resemble Beethoven’s Ninth Symphony if he had crowdsourced it: they are rather disconnected, lack key motifs, and are undoubtedly not ready for the Berlin Opera House.
Although Kubernetes and Docker seem to have prevailed in the competition for supremacy in container technology, there is still a tonne of opportunity for development. For instance, Kubernetes deployment is still difficult, and VM-based instances and containers might communicate better.
At the touch of a button, deployment
Even while Kubernetes makes Docker container orchestration simpler, it still requires time to set up and is a complicated technology. Kubernetes employs YAML, a format that is intended to be user-friendly, for configuration. Yet Kubernetes needs certain complex YAML constructs, like text blobs.
IT manufacturers have made various efforts to resolve the difficulties with container deployment. Several of the major cloud service providers, including as AWS, Microsoft, and Google, provide managed Kubernetes services that ease the load of installation for IT teams. For its part, Red Hat purchased CoreOS and is probably going to merge OpenShift with the CoreOS managed Kubernetes distribution, Tectonic.
Improved computing
Cloud containers may also gain from more effective computing procedures. As an illustration, consider software-defined storage with container support. Techniques like compression and erasure coding function well within a single server, but you should avoid replicating data across interfaces, including the interface between containers themselves, to retain efficiency and performance. One technique to speed up operations is to affinitize services to the same server and have some means for them to share memory as the exchange of memory pointers is far faster than the use of memcopy to move a data block. Also, this would stop LAN-based copies, which raise latency.
Interfaces for storage
Although still under development, VM-level storage support for containers in the cloud will become a significant problem as nonvolatile dual in-line memory modules gain popularity and IT organisations strive to share dynamic RAM among clusters.
Although we have made progress in this area, storage providers and container software still have work to do. The overall goal is to enable storage access for VMs and containers across various cloud platforms.
