Using Microsoft Azure Bots & AI to Automate DevSecOps [Webinar Recording]
Joe Brown – Xgility’s Chief Strategy Officer – recently presented a webinar where he talked about using Microsoft Azure bots and virtual assistants to automate DevSecOps.
During the webinar, Joe talks about the benefits and challenges of DevSecOps, unravels bots and chatbots, and explains how they can help automate the DevOps and DevSecOps software development process.
Plus, he shares how Xgility built an innovative, chatbot-driven interface for a government agency that performed simple environmental lifecycle orchestration tasks in an Azure DevOps environment without any human interaction.
Watch the webinar now:
Automation is at the core of DevSecOps – and when properly implemented and utilized – it can create a well-oiled machine that delivers an agile pipeline for software developers with security baked into every step in the process.
But there can also be downsides – especially when it comes to manual processes, configuration management, relying on manual provisioning and de-provisioning, and difficulty in moving or promoting code between environments. Those can all lead to high costs, downtime, outages, and application vulnerability.
One way to overcome those challenges is to give your software developers a support assistant that is available 24×7 – using a Microsoft Azure bot and Virtual Assistant – and that can automate the full lifecycle of their developer environments. How?
- Dialogue-driven interfaces – available in Microsoft Teams via a web page or in a standalone client – are programmed to offer a curated and approved set of cloud-based development resources.
- Artificial Intelligence introduces natural language-driven dialogue and bot learning to improve the user experience.
- Bots manage the full lifecycle with all the parameters given to them by the software developers and security engineers.
- Bots will always follow the processes defined by the DevSecOps Team.
What Makes a Bot or Chatbot Successful?
Make the user experience a top priority. Consider these questions:
- Does the bot easily solve the user’s problem with the minimum number of steps?
- Does the bot solve the user’s problem better/easier/faster than any of the alternative experiences?
- Does the bot run on the devices and platforms the user cares about?
- Do the users naturally know what to do when using it?
- Is the bot discoverable?
Considering a Bot or Chatbot Application?
Start by asking these questions first:
- What your bot is used for?
Be clear about the kind of bot you plan to build. This will determine the functionalities you want to implement in the bot.
- What problems does your bot intend to solve?
Be clear about the problems your bot intends to solve. Solving problems for customers is the top factor you should consider when building bots. You should also consider things such as how to solve the problems easily and of course with the best user experience you can provide.
- Who will use your bot?
Different customers will expect different user experiences. This will also determine the complexity you should involve in your bot design. Consider what language to implement the bot.
- Where will your bot run?
You should decide the platforms your bot will run on. For example, a bot designed to run on a mobile device will have more features like sending SMS to implement.
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At Xgility, we can help modernize your software development process and legacy applications while reducing costs and development risk.
As a Microsoft Gold Partner with vast experience under our belts, we are ready to help. Contact Us Now »