Top 3 pain points for serverless developers

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This is the 100th episode of Serverless Expeditions! To celebrate, Martin and Wes discuss 3 top obstacles for serverless developers and how to overcome them. Watch along to learn how an old circuit board and imaginary maps can help you think differently about serverless computing.

Chapters:
0:00 - Intro
0:28 - First obstacle: user authentication
2:46 - Second obstacle: database connections
4:33 - Martin’s app without a database
6:20 - Third obstacle: technical architecture
8:00 - Think differently about serverless computing
9:31 - Wrap up

#ServerlessExpeditions​
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💯 episodes and counting of Serverless Expeditions and it all thanks to you - our developer community. Thank you!

googlecloudtech
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So Nice the dynamic and how in the final you bring the convention ideas to explain, really great

mffalcaos
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Thanks for another great video! Your videoes are amazing for getting a fast and unintimidating understanding of GCP. 🤩

At 3:22 you mentioned that relational databases are good for aggregating data over many records, and then you mentioned MySQL, PostgreSQL, and SQL Server.

Those databases are notoriously bad for doing aggregations over many records. A report here and there may be ok, but on a production database, you would avoid mixing CRUD operations and multi-row aggregations in the same database.

If multi-row aggregations are essential for your app, consider a column store database instead. GCP offers both BigQuery and Snowflake out of the box.

StarlightInsights_com
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8:47 exactly whatever on-prem they copy to the cloud, i came to a company they copy paste their on-prem k8s to gke, i'm changing it using cloud build, skaffold, cloud deploy, cloud run for some projects ...

Babbili
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I want to watch in an upcoming video, what Serverless option to take when going Serverless? what Serverless options is more suitable for some kind of application?

luillyfe
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Have you covered already how to implement a fully serverless data platform (or lakehouse) on GCP?

jeanchindeko
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I love cloud run, but attaching a redis memory store on basic plan costs at least 50 € / month. Attaching a dedicated volume using Filestore is way to pricy with 200 € / month.
Why not provide smaller and cheaper possibilities to attach volumes. Especially smaller apps would benefit a lot from cheap persistent volumes.

davidspiess
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I find it difficult to maintain a consistent redis connection with cloud run. Socket disconnects all the time. We tried heart beats as well. It's failing on cold start and also when we have minimum instances. So we can build a consistent application on cloud run. Is there a recipe on how the redis connection should be handled?

vineethp
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Cloud Functions for Firebase need support for Python, Java & Go at minimum. Stop forcing Typescript /Javascript on the backend

bigdlamz