AWS re:Invent 2020, Week Two
6 minute read |AWS, AWS re:Invent, Cloud
Week two of three for AWS re:Invent 2020 kicks off and this post will be my “live blog” for the week. It will be neither “live” not probably completed this week. Check back often for reactions, news, and tips on how to get the most out of the week.
Remember, I have a separate post with just my take on the latest announcements.
09:00 I managed to sneak in another session! This time it was, “Data lakes: Easily build, secure, and share with AWS Lake Formation”. Check out my reactions in my tweet-🧵:
up next for me, EMB039, Data lakes: Easily build, secure, and share with AWS Lake Formation, at @awscloud #reinvent— Mark Nunnikhoven (@marknca) December 11, 2020
this 200-level session is presented by Mehul A. Shah, @Mashah08, GM of AWS Glue & Lake Formation pic.twitter.com/AbyqpJb2k0
08:55 I finally finished the write up of my talk, “Mistakes Were Made. Lessons Were Learned”, and posted it
08:00 Next, I watched PNU203, Fighting wildfire with artificial intelligence. This is a session in the “power & utilities” track. I’m very curious to see the positioning and how far they go into different topics.
07:30 I’m super excited to watch EMB037, Understand ML model predictions and biases with Amazon SageMaker Clarify, my tweet-🧵 for the session:
10:31 I’ll be live tweeting the infrastructure keynote. You can check out my tweet-⛈ at:
up shortly, the @awscloud #reinvent infrastructure keynote with Peter DeSantis— Mark Nunnikhoven (@marknca) December 10, 2020
this is an evolution of the Monday/Tuesday Night Live session from previous years and they’ve always been great! pic.twitter.com/mHr1agwTgy
10:30 The stream for the infrastructure keynote hosted by Peter DeSantis kicks off with a performance by The White Buffalo
09:00 Next up: EMB034, “Accelerate data preparation with Amazon SageMaker Data Wrangler”
My Twitter 🧵:
next up for me is Ajai Sharma from @awscloud delivering EMB034, “Accelerate data preparation with Amazon SageMaker Data Wrangler”— Mark Nunnikhoven (@marknca) December 10, 2020
I’m very curious to see the differences compared to AWS Glue DataBrew…and you can too 🤣#reinvent https://t.co/LKVfctXr2p
This session was really well structured and Surbhi is a great speaker. The energy was high throughout and the examples really hammered home the utility of the service.
More in my tweet-🧵:
18:30 I got to take in AIM211, “Deliver viewing experiences for super fans with Amazon Personalize”
My twitter thread 🧵:
18:15 My sessions gets rebroadcast for what I now realize is SGT with GMT being the sessions I catch super early in ET. Aren’t time zones fun?
14:45 I watched EMB031, “Improve application availability with ML-powered insights using Amazon DevOps Guru”. This session was presented by Jacob Sullivan, a Sr. Manager with AWS ML Services. It covered the 101 of the new Amazon DevOps Guru service and then went on to examine the expected use cases and integrations of the services.
My tweet storm ⛈:
10:15 My session, “Mistakes Were Made. Lessons Were Learned”, aired for the first time. It’s been available on-demand via the Trend Micro sponsor page but showing up in the session catalog as “live” will hopefully drive more people to see this talk and learn about the AWS Well-Architected Framework.
Full talk breakdown post coming soon!
09:00 I started by day by trying to fix a silly logic bug in my script that builds my “Hot Takes” post. It took way too long and was entirely my fault. Thankfully, I fixed it and simplified how I can review announcements made during the show
20:45 I watched an excellent talk called, “Incident management in a distributed organization” (BLD208) by Oren Nachman. Being a security person, I just assume this was a security talk when I read “incident management” but I was pleasantly surprised to quickly find out this was about dealing with any incident.
The good news is that normal vs security incident is 95% the same. I even did a talk on that very idea for AWS re:Invent 2016. This was an excellent talk and I really enjoy Oren’s style and the content.
17:00 I spent the afternoon digesting the machine learning keynote content and the security leadership session. A lot to think about…
13:15 Stephen Schmidt, AWS CISO, presented the leadership session on security (SEC219-L). This hour long session took a look at what security features AWS shipped over the last, their view of security, and what you can be doing right now to improve your security posture in the AWS Cloud.
My twitter mega-🧵:
11:00 The machine learning keynote with Swami Sivasubramanian airs. Lots of great information about the state of machine learning in the AWS Cloud and some new services. Of particular note was the announcement of Amazon SageMaker Clarify, a tool to help identity and reduce bias in machine learning models. More on that soon.
⛈ Here’s my tweet storm of the keynote…
Brandi and Andy had a nice chat to start the session off. It was open and friendly. You could tell they both enjoyed the discussion about Brandi’s career and view on music.