Greetings from London! I arrived yesterday and spent today at our office working with our local sales engineering team. Great bunch of proper experts.
[article] Many software developers don’t trust AI – report. That’s the headline, but inside, you also see that 70% of devs think AI will help, and 60% want to use AI. But, there’s work to do for us all to trust it more.
[article] Wells Fargo’s assistant, powered by Google’s AI, poised to hit 100 million interactions annually. Good recipe: orient towards legit use cases, deeply train your staff, pick partners that help you get to production quickly.
[blog] Databases upgrade made easy with in-place major version upgrades on Cloud SQL. For support reasons alone, it’s important to keep up with database engine versions. It’s hard though. I like when solutions like this exist, especially when you can keep the name/IP the same.
[article] Applying the SPACE Framework. It’s less prescriptive that DORA, but the SPACE framework offers a more rich view of the “developer productivity” lens for tech teams. I suspect that many folks will use both to uplevel their teams.
[blog] Can large language models identify and correct their mistakes? Some cool research here, and the idea seems reasonable.
[blog] 5 Steps to Debug Development and Operations Teams. If you inherit a struggle team, or wake and realize your own team is struggling, this article offers helpful guidance for figuring out where the issue is.
[blog] Troubleshooting distributed applications: Using traces and logs together for root-cause analysis. I’d bet that most all of you have mature logging and monitoring processes. But how many of you heavily use distributed tracing to find latency issues? Here’s a good post about how it works.
[article] How to Lead Across a Siloed Organization. It’s probably rare nowadays for someone to NOT work with a lot of people across different functions or organizations. If that’s hard for you—as it is for most of us—this guidance should help.
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