Introducing Blameless Postmortems at ASOS
Summary
Here at ASOS, we have over 60 engineering teams developing and supporting many APIs and services that keep the business running 24/7 globally. Alongside these teams we also have the centralised support of our Major Incident Management (MIM) team, who coordinate the people involved in the resolution of major incidents and report progress to the key stakeholders.
In recent months we have been rolling out a Blameless Postmortem process to help align our different teams, drive better outcomes and ultimately improve reliability. This is where we’re at on our journey of continuous improvement.
The problem
Over the years, inconsistencies started to creep…
Here at ASOS, we’ve been experimenting with using natural language understanding capabilities to build new customer experiences in voice and conversational platforms. The first product that we launched is Enki, the ASOS Fashionbot on Facebook Messenger. Check it out here!
When building a bot for Facebook Messenger (without using a third-party integration such as Dialogflow or Wit.ai) you are struck with an immediate automation testing challenge due to the constraints of their platform. When a user sends a message to your bot, Facebook will pass the message on to your webhook (an API with a POST endpoint) and expect an…
