The era of the intelligent cloud has arrived, says Forbes’ well-known contributor Louis Columbus in one of his posts. Several low code/no code and serverless cloud services like Lamda, Fargate, Azure Functions, Terraform, etc. have been abstracting layers of computing making it easier to develop high-performing applications with minimal effort. Application development is slowly moving towards adopting intelligent & intuitive solutions. So is the future of cloud management.
Hypothetically, the cloud must always be a high ROI IT investment. The reality, however, is that cloud computing is chaotic, but until managed well.
One of the biggest challenges in cloud computing today is mapping and synchronizing tens and hundreds of metric data, applications, and processes among cloud and on-premises systems. In a hyper-complex labile environment, several resources auto scale-up, scale-down, or terminate on-demand simultaneously.
The human mind needs an intuitive platform that can encapsulate such a complex network of data and present them in an easily consumable form on a single pane of glass. Like RTS games that provide so much of information of an environment on a visual console with vocal instructions to help players make the right moves at the right time.
While this is one of the primary reasons why the future of cloud management is visual and vocal, there are three more solid reasons strongly justifying it.
Most of us interact with AI every day, whether we realize it or not. We do things like interact with Alexa or Siri, talk to chatbots online, auto tag photos on Facebook, and listen to Discover Weekly on Spotify.
With the democratization of interactive visualizations and NLP, cloud service providers and cloud management solution providers are coerced to bring in these technologies into their solutions. Moreover, it makes more sense to bring in visual and vocal solutions here, because it provides intuitive control over complex data via gaze and voice.
A research report on multi-cloud management market indicates that it is expected to grow to $4,492.7 million, or almost $4.5 billion, by 2022. With the increase in the use of multi-cloud environments, there will be an innumerable number of data points to map and process. The current programmatic approach of using CLI for customization or use of siloed tools to manage multi-cloud services will only add to the complexity. Further, use of microservices or containers like Docker will only add to the already existent complexities.
Neither primary interface of a cloud service provider nor a bunch of cloud management tools provide the holistic data of cloud usage in one place. But, again, just a unified view of all metric data will not help build the perspective of cloud usage. Encapsulating the entire infrastructure in one place and rendering topology and network interconnections visually are the needs of the hour to simplify siloed multi-cloud management.
Key cloud management tasks like DR, Database backups, troubleshooting, etc. require a lot of team collaboration and visibility across cross-functional teams. Several solutions today integrate chat interfaces or search bars to help users quickly get the data looking for in few clicks. Soon CSPs and cloud management solution providers will integrate such voice and text-enabled NLP functionalities to ease cloud usage.
Just as emerging technologies like AI and machine learning are slowly outperforming human capabilities, a self-sustaining cloud platform with smart visual and vocal capabilities will outperform today’s lauded dashboard style cloud management tools. Because it makes more sense to use features that are closer to the innate preference of a human mind.
“A time will soon arrive, these emerging technologies together will help democratize cloud usage, and new roles like Citizen Cloud Engineers will emerge who will take on duties that once required IT infrastructure knowledge and programming with technical know-how.”
We, at TotalCloud Inc., are ardently working on an intelligent, autonomous cloud management solution that is visual and will soon support vocal capabilities. Do check it out. Currently, we are offering a 30-day free trial, too.
TotalCloud automates actions on AWS resources and services using its unique cloud graph engine.