Comments URL: https://news.ycombinator.com/item?id=40802671

Points: 9

# Comments: 1

Remote: Preferred, but Hybrid fine within 20 miles of Irvine, CA

Willing to Relocate: No

Technologies: Strongest in Java, Kubernetes, MongoDB, SQL, Kafka, Data Lakehouse (Wrote Java apps as a developer lead at IBM, was on the 0.1 kubenetes team at Red Hat, 3+ years at MongoDB leading the technical direction at their #1 ARR account WW, Head of Community and DevRel at a 65 million VC-funded startup that was building an open source version of Snowflake)

Resume: http://linkedin.com/in/atwong

Email: atwong@alumni.uci.edu

About me:

My game is changing the world at warp speed. I've honed my skills across the board - sales engineer, developer advocate, lead developer, even infrastructure and operations maestro. Think of me as a multi-class strategist with 10 patents under my belt and 20+ certifications in my arsenal – Java, .net, you name it. I can build it, deploy it, talk the talk, and walk the walk, from bare metal to cloud-native code. So, what's the next challenge we'll tackle together?

I am looking for my next job in sales engineering or developer relations.

We have Amplitude, but didn't use it because the implementation costs, time and maintenance are too much.

I know there is GA4, but again, implementation of that requires tech resources and maintenance. There's also products like Mixpanel, Pendo, etc. I'm intrigued by Heap.

Anyone have experience with it? I need something that is: - Low threshold to implement. - Low maintenance code-wise - Excellent dashboard reporting

Comments URL: https://news.ycombinator.com/item?id=38655856

Points: 1

# Comments: 0

I'll be even more specific. Say I'm an OSS OLAP database and I want to have as much mindshare as Trino. Is there a tool that can tell me how I compare my OSS product/community to theirs. I'm thinking along several dimensions.

- Technical Parity: Focus on core functionality, performance, and query compatibility with Trino.

- Ecosystem Parity: Ensure smooth integration with existing tools and ecosystem.

- Community Parity: Strive for similar levels of user engagement, contribution, and support.

The closest I've seen is just measuring my own community using Common Room (commonroom.io) but they don't provide scorecard features that track key KPIs (they do track new members numbers and engagement rates but want more) and telling me what we need to work on. Thoughts?

Comments URL: https://news.ycombinator.com/item?id=38649346

Points: 3

# Comments: 4

* Query performance improved 4x. * Query P90 time improved from 500ms to 150ms. * The cluster size reduced from 60+ nodes to less than 10 nodes. * Data storage volume reduced by about 40%. * Overall cost reduced by more than 80%.

TPC-H and TPC-DS are important because they are industry standard benchmarks for measuring the performance of data warehouse and big data systems. They are widely used by vendors and customers to evaluate the performance of different systems and to compare the performance of the same system over time.