The next significant point of discussion about chatbots in DevOps refers to the use cases. You can find many chatbots with higher responsiveness and intelligence capabilities for addressing different tasks. On the other hand, industry implementations are marginally different from day to day activities. The use cases of chatbots in DevOps demand the efficient resolution of problems with desired approaches.
The two most common types of use cases for chatbots with DevOps involve domain-specific bot implementation or generative bot implementation.
The chatbots act as the missing link between the collaboration tool of your choice and DevOps tools such as AWS Lex, Hubot, ErrBot, or Lita. The final component in ChatOps is the target platform or the infrastructure. Chatbots in DevOps should have the capability for integration with the desired target platforms.
The target platforms are the stage for the chatbots to execute required commands. The integration with DevOps tools enables chatbots to ensure communications with tools and ensure execution of actions such as building, deployment, testing, provisioning, and scaling of infrastructure from the chat window directly.
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