Talk in English - UK at PHP Yorkshire 2017
Track Name:
Bytemark Track
View Slides: https://speakerdeck.com/bastianhofmann/expect-the-un-expected-how-to-handle-errors-gracefully-1
Short URL: https://joind.in/talk/96b82
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Even though you tested your application perfectly errors and bugs will still happen in production, especially if other services or databases go down or are under high load. Thus it is very important to see errors happing and to be able to react to them quickly. In this talk I’ll introduce you to efficient ways for monitoring and logging for errors and show how you can handle them if they happen, covering deployment strategies, using intelligent circuit breakers and gracefully reducing functionality.
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Super useful, relevant and encouraging to use latest tools and practices for error logging and monitoring !
Too much content & too many subsubjects.
Great !!!
Clear and helpful !!
Concreate example and clear direction of the talk !
Thank you
Very useful overview of how to handle errors at scale. I took away some good ideas I can use at work. Thanks!
Lots of useful information. Good to see tools that will help with monitoring and logging.
Lots of interesting information and tools that we can use.
Really interesting to hear about working at enormous scales. However, the pace was too fast for me and the scale of the software and infrastructure being discussed simply wasn't relevant to my own much smaller scale work. So many tools were introduced that I found it difficult to know what might be useful for me. That said, I will be putting more effort into error logging in future!
Very interesting, particularly liked the exploration of logging at such high volumes, and will be implementing some of the concepts discussed.
Lots of new things to think about and how we could go about doing this better in our org.
Could probably have done to be either a longer talk or more indepth on sections as it was a bit fast
A live demonstration that worked deserves a 5/5 in itself ;)
A wonderfully insightful talk into the different ways to handle errors, including examples to help debug from single servers to scaled solutions.
Super super good - relevant to everyone that puts code into production. Your pace and energy was infectious, and I loved that even though you're working at such a large scale that the points you presented could be used at much smaller scale levels as well - correlation, contextual data capture and similar. And a working live demo, nice!