Optimizing Design and Deployment Process with AI Guidance

We frequently ask questions to gather requirements and provide our designs and solutions. Many organizations standardize their questions for consistency among teams. Can chatbots handle these questions? Yes, AI services can be utilized to make decisions and trigger DevOps pipelines to deploy the desired design or service.

By using Infrastructure as Code (IAC), we can quickly deploy design templates using AI to assist in choosing the appropriate design. This allows customers to focus on workload migration instead of landing zone design. Although, not every customer is the same, for example, a secure Azure VNet hub and spoke design can be deployed initially and improved upon while testing non-critical workloads in the cloud. We can drive move from design workshop to design selection workshop where you are helping the customers to pick up one of best design available.

Another solution is deploying services on an existing subscription, where customers can quickly deploy VMs or PaaS services by answering a few questions posed by a chatbot, without waiting for a human response. This speeds up the deployment process and increases customer satisfaction.

In conclusion, by utilizing AI and chatbots, customers can avoid creating tickets and waiting for support, as they can immediately provision resources by answering questions and confirming with AI suggestions.

What do you think?

Infra Folks, shouldn’t we change our approach with Public Cloud

All of us are familiar with below picture and can easily describe the IaaS, PaaS and SaaS. Are we thinking about how it is changing our way of working? It is affecting both Infra and App team as both the teams need to think about each other’s territories especially when somebody need to build DevOps culture.

PaaS

It is gone those days we just don’t care about any application or functionality what is running on the servers that we built. We used to provide number of servers based on the sizing and design. We did not have to know what functionality the application would perform or roles as well.

You can continue with the above if you are still thinking of riding on IaaS (Infrastructure As A Services) but not with PaaS (Platform As A Services) and SaaS (Software As A Services). Infrastructure team has little things to do now as most of those tasks will be performed by your Cloud Service Provider.

Everybody talks about serverless computing even though, there is none at the backend 😊. We should be able to think about moving away from monolithic architectures, moving to microservices and containerize wherever possible.

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ExploreExplore the technology to Upskill, Reskill and CrossSkill the resources.

Yes, most of us work in Technology companies those advise many organizations globally for taking technological decision and encourage them to use the latest and advanced technologies to automate their operations. However, how many of those companies are using technology within their organizations and drive innovations for their internal requirements. Both the employees and employers are suffering because a proper system is not in place for solving the problems like Lack of effective appraisal system, identifying the right resources for the projects, unable to stop the talent leaving the organization etc. Let’s look at those and how we can try to solve using the technologies like Machine Learning(ML) and Artificial Intelligence(AI). Yes, we are in the world of Machine Learning(ML) and Artificial Intelligence (AI) and we must now start thinking about using them effectively.

upskill2

Continue reading “ExploreExplore the technology to Upskill, Reskill and CrossSkill the resources.”