Daily Wrap Up – April 12, 2023 (#066)

Take a look at the items I read today, and you may find something that interests you. There were lessons learned adopting microservices, a few pieces on (cloud) security, and a handful of items that might impact your application architecture.

[article] Airbnb at Scale: From Monolith to Microservices. Recording and transcript from InfoQ that explains lessons learned by Airbnb during a microservices transition, and what was more difficult than they thought.

[blog] Best Kept Security Secrets: How Assured Workloads accelerates security and compliance. More people should know about this. Get the benefits of regulatory-required isolation, but in the public cloud? Assured Workloads does that in Google Cloud, supporting everything from FedRAMP to PCI DSS and HIPAA.

[blog] Google Cloud Assured Open Source Software service is now generally available. This is also a big deal. Use 1000+ of the most popular Java and Python packages, signed and distributed by Google. TechCrunch covered the news as well.

[research] Reports of the Death of Enterprise Tech Spending Have Been Greatly Exaggerated: The March 2023 Battery Ventures State of Cloud Software Spending Report. Here’s a summary post with a link to the full report. It shows where some tech investments are going, and where enterprise buyers are focusing their spend.

[blog] 12 Insidious Biases that Impact Our Every Day Lives. If you don’t experience these on a daily basis, you’re a much better person than I am. It’s useful to be able to recognize and name the bias when you see it!

[article] Inside the never-ending race to update the Pentagon’s IT. Once you fall far behind on technology, it’s so tough to catch back up. A culture of continuous modernization seems like the only way to prevent that.

[article] Survey Shows Companies Moving away from DIY Kubernetes. I still have yet to read a public company’s annual report where they bragged about how well they ran Kubernetes. It’s not a differentiating component for most any business.

[blog] How to identify and reduce costs of your Google Cloud observability in Cloud Monitoring. I like these kinds of posts that explain what goes into the cost of a specific service, and how to optimize given that knowledge.

[blog] Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM. Every generative AI use case won’t demand a massive LLM that’s expensive to train and serve. Databricks made their trained model available for research or commercial use.

[blog] SQL Maxis: Why We Ditched RabbitMQ And Replaced It With A Postgres Queue. You can use a database as a queuing system. You give up some things, and it likely won’t scale to certain cases, but it’s not a terrible idea for basic use cases.


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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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