Daily Wrap Up – January 31, 2023 (#020)

One month of these daily recaps down and I think I’ll keep going. It’s been fun, and the response has been positive. Today, I read some educational content on AI, got some fresh stats to use in my presentations, and learned how companies like Meta and MixPanel do things.

[blog] The digital forecast: 30-plus cloud computing stats and trends to know in 2023. I like using third party surveys and expert opinions to set context for strategies and decisions. This post has 30 of them, and each in a standalone Google Slide format for you to use.

[blog] AI Development Tools Compared – The Differences You’ll Need to Know. Even if you dismiss much of the AI noise as “hype” (which would be a mistake), it’s useful to know the leading frameworks and platforms that are out there.

[preso] Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud. Video and transcript that covers a good topic. From Confluent focused on Apache Kafka, but applicable even if you use a different event engine.

[blog] Cloud-native Netbox On Google Cloud Platform. Here’s a look at how you’d take a workload that traditionally runs on VMs and instead, run it on fully managed compute and data services.

[blog] Asynchronous computing at Meta: Overview and learnings. Here’s some things the crew at Meta have learned about queuing, stream processing, and more.

[blog] Tracking events at millisecond granularity. The choices we make early on with our software likely made sense at the time. But then things change. Here, MixPanel folks talked about needing to switch from capturing events with more granularity as volume increased.

[blog] You get what you pay for: Principles for designing a chargeback process. The metered, pay-for-what-you-use nature of public cloud means that you should be able to chargeback costs to consuming teams. It’s still harder than it looks. This post has good guidance for making it happen.

[blog] How we manage our 1200 incident playbooks. Do you have automated playbooks/runbooks to handle emergencies for your apps? This engineering team explained their process for creating and using them.

[article] Cisco AppDynamics Survey Surfaces DevSecOps Challenges. I dunno, folks. It seems like we’re getting worse at secure computing over time, not better. The data from this survey isn’t good. Seems like we need to rethink and simplify how we build and run secure systems.


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Author: Richard Seroter

Richard Seroter is Director of Developer Relations and Outbound Product Management at Google Cloud. He’s also an instructor at Pluralsight, a frequent public speaker, the author of multiple books on software design and development, and a former InfoQ.com editor plus former 12-time Microsoft MVP for cloud. As Director of Developer Relations and Outbound Product Management, Richard leads an organization of Google Cloud developer advocates, engineers, platform builders, and outbound product managers that help customers find success in their cloud journey. Richard maintains a regularly updated blog on topics of architecture and solution design and can be found on Twitter as @rseroter.

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