HN user

plaur782

839 karma

Co-Founder at Crunchy Data

Posts190
Comments20
View on HN
www.snowflake.com 28d ago

Looking Ahead to Postgres 19

plaur782
3pts0
wiki.postgresql.org 1mo ago

The PostgreSQL C Dialect

plaur782
3pts0
www.snowflake.com 1mo ago

Looking Ahead to Postgres 19

plaur782
4pts0
www.crunchydata.com 1mo ago

British Columbia, Time Zones, and Postgres

plaur782
3pts0
brandur.org 1mo ago

The Minimum Viable Unit of Saleable Software

plaur782
1pts2
www.snowflake.com 8mo ago

Pg_lake: Integrate Your Data Lakehouse with Postgres

plaur782
2pts0
www.crunchydata.com 8mo ago

Postgres Internals Hiding in Plain Sight

plaur782
1pts0
github.com 8mo ago

Incremental Data Processing in PostgreSQL

plaur782
1pts0
github.com 8mo ago

Pg_lake: Postgres with Iceberg and data lake access

plaur782
371pts118
www.crunchydata.com 11mo ago

Postgres Logging for Performance Optimization

plaur782
3pts0
www.crunchydata.com 1y ago

Logical Replication from Postgres to Iceberg

plaur782
2pts1
www.crunchydata.com 1y ago

Creating Histograms with Postgres

plaur782
2pts0
duckdb.org 1y ago

Transforming Data with DuckDB and Dbt

plaur782
1pts0
duckdb.org 1y ago

Maximizing Your Delta Scan Performance

plaur782
5pts0
www.crunchydata.com 1y ago

Automatic Iceberg Maintenance Within Postgres

plaur782
3pts0
duckdb.org 1y ago

Parquet Bloom Filters in DuckDB

plaur782
2pts0
www.crunchydata.com 1y ago

Postgres, Dbt, and Iceberg: Scalable Data Transformation

plaur782
4pts0
jpcamara.com 1y ago

PgBouncer is useful, important, and fraught with peril

plaur782
1pts0
drunkdba.medium.com 1y ago

Postgres Compatability Index

plaur782
3pts0
www.crunchydata.com 1y ago

Incremental Archival from Postgres to Parquet for Analytics

plaur782
1pts0
cloudnativegeo.org 1y ago

Geoparquet 2.0: Going Native

plaur782
2pts0
www.shayon.dev 1y ago

Scaling with PostgreSQL without boiling the ocean

plaur782
40pts14
still.visualmode.dev 1y ago

Best place to learn to use PostgreSQL

plaur782
2pts0
duckdb.org 1y ago

Running TPC-H SF300 on a Raspberry Pi

plaur782
1pts0
cholmes.medium.com 1y ago

Using DuckDB's Hilbert Function with GeoParquet

plaur782
4pts1
db-engines.com 1y ago

PostgreSQL is the Database Management System of the Year 2024

plaur782
263pts106
thenewstack.io 1y ago

Database Trends: A 2024 Review and a Look Ahead

plaur782
2pts0
duckdb.org 1y ago

Vertical Stacking as the Relational Model Intended: Union All by Name

plaur782
4pts1
thenewstack.io 1y ago

DuckDB: Query Processing Is King

plaur782
2pts1
overturemaps.org 1y ago

Overture Maps Transportation theme is now GA

plaur782
1pts0

No. You are not alone. There are still a number of organizations that are cautious about deploying databases in Kubernetes. That said, various third party surveys as well as anecdotal evidence of what we are seeing at Crunchy Data suggests that deploying databases on Kubernetes is increasingly common. The degree to which it makes sense often depends on whether or not the organization is standardizing around Kubernetes for their deployment model more generally.

There is an important distinction between community driven open source databases (ex: Postgres) and open source databases that are developed, maintained and owned by a single corporate sponsor.

Ultimately comes down to the right tool for the job. Larger organizations tend to short list a selection of databases to choose from as new applications create new data requirements. These tend to include a NoSQL option, some combination of legacy databases, a data caching or message broker tool, and an open source relational database. Postgres has a lot of momentum as the "new" relational option.

New PostgreSQL STIG includes updated guidance for PostgreSQL 9.6 through 12, including how to use SCRAM authentication, a new logging location for PostgreSQL 10+, and usage of built-in defined roles added in newer Postgres releases. The Crunchy Data PostgreSQL STIG also provides expanded information regarding the use of any Federal Information Processing Standard (FIPS) compliant operating systems.

Link to download the guide:

https://www.crunchydata.com/disa-postgres-security-guide/dis...

Cooley Go is a great resource for legal agreements and forms commonly required by start ups (particularly venture backed startups). The site includes both the form templates and documentation generators. The site also includes a number of posts related to start up FAQs such as allocating initial founder equity, tax issues associated with equity incentives, etc.

For a deeper dive into the legal issues frequently encountered by venture backed start ups - check out the Entrepreneur's Guide to Business Law:

https://www.amazon.com/Entrepreneurs-Guide-Business-Law-eboo...

A lot of great talks here for folks interested in Postgres. A few highlights:

-- Find your slow queries, and fix them! - Stephen Frost (https://www.youtube.com/watch?v=d2jBnOh3Y54)

-- Advanced Data Modeling Techniques in PostgreSQL - Christopher Travers (https://www.youtube.com/watch?v=5uEZEf3nrNI)

-- Protect Your PostgreSQL Passwords: How SCRAM Works & Why You Need It - Jonathan S. Katz (https://www.youtube.com/watch?v=20p4zP_pvQU)

-- Community roadmap to sharding - Alexander Korotkov (https://www.youtube.com/watch?v=C4GJAjUcAtg)

-- CREATE STATISTICS - what is it for - Tomas Vondra (https://www.youtube.com/watch?v=xPorz6N8ogE)