b-man

I think your post misses the point of the DBMS centralization: managed consistency.

It is not about ops cost in infrastructure, but ops cost in debugging consistency errors.

b-man

10 dni temudiscuss

  Location: Brazil (UTC-3, overlaps US hours)
  Remote: Yes
  Willing to Relocate: Yes (US preferred)
  Technologies: SQL Server, DBT, SQL Mesh, PostgreSQL, SQL, OLTP & OLAP, cloud optimization, query optimization, large-table migrations, F#, Clojure, Python, C#, C, Java, Ruby, Rust, Prolog, OCaml, Haskell
  Email: ebellani at gmail

I specialize in rescuing and scaling PostgreSQL systems that have become bottlenecks due to schema debt, growth, or operational complexity. Recent work: re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) handling 200+ writes/sec, improving scalability and reducing application-level complexity.

My work focuses on high-risk database migrations, dangerous schema remediation, hot-path optimization, and making existing systems scale without rewriting the product.

Open to consulting or full-time roles where data is central and performance matters.

b-man

27 dni temudiscuss

  Location: Brazil (UTC-3, overlaps US hours)
  Remote: Yes
  Willing to Relocate: Yes (US preferred)
  Technologies: SQL Server, DBT, SQL Mesh, PostgreSQL, SQL, OLTP & OLAP, cloud optimization, query optimization, large-table migrations, F#, Clojure, Python, C#, C, Java, Ruby, Rust, Prolog, OCaml, Haskell
  Email: ebellani at gmail

I specialize in rescuing and scaling PostgreSQL systems that have become bottlenecks due to schema debt, growth, or operational complexity.

Recent work: re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) handling 200+ writes/sec, improving scalability and reducing application-level complexity.

My work focuses on high-risk database migrations, dangerous schema remediation, hot-path optimization, and making existing systems scale without rewriting the product.

Open to consulting or full-time roles where data is central and performance matters.

b-man

w zeszłym miesiącudiscuss

https://fred.stlouisfed.org/graph/?g=1WPjJ

b-man

2 miesiące temudiscuss

have you tried just using emacs? They have an emacs mode https://github.com/coalton-lang/coalton-labs

b-man

2 miesiące temudiscuss

Great refs. I think one can find more accessible sources for this knowledge, for instance this course:

https://www.youtube.com/playlist?list=PLoYRQl2t0w0EjRIb9Jr1y...

or Feser's articles such as

- https://www.firstthings.com/article/2013/04/kurzweils-phanta...

- https://edwardfeser.blogspot.com/2019/03/artificial-intellig...

b-man

3 miesiące temudiscuss

> The Agile example makes this worse, not better. Yes, Agile was overhyped and badly implemented in many places. But using that to indict the entire movement as Girardian ritual is precisely the logical move the author claims to be critiquing: take some real failures, blame them on a paradigm rather than specific implementations, declare the whole thing rotten. He scapegoats Agile to validate his theory about scapegoating

I don't think the author did that at all. He was fair to interactive development. He specifically points out the scapegoating of waterfall, where the methodology was misrepresented in order to create the space for agile.

b-man

3 miesiące temudiscuss

fwiw, your career page seems broken (https://supabase.com/careers)

b-man

3 miesiące temudiscuss

   Location: EST
   Remote: Yes 
   Willing to relocate: Yes (US preferred)
   Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux
   Email: ebellani at gmail

I work on high-throughput systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work:

Re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) receiving 200+ writes/sec. I focus on “rescue architecture” work: fixing dangerous schemas, stabilizing hot paths, removing app-level complexity, and making Postgres scale without rewriting the product.

Open to consulting or full-time roles where data is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/ https://ebellani.github.io/

b-man

4 miesiące temudiscuss

ocation: EST Remote: Yes Willing to relocate: Yes (US preferred) Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux

Email: ebellani at gmail

I work on high-throughput PostgreSQL systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work:

Re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) receiving 200+ writes/sec. I focus on “rescue architecture” work: fixing dangerous schemas, stabilizing hot paths, removing app-level complexity, and making Postgres scale without rewriting the product.

Open to consulting or full-time roles where Postgres is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/ https://ebellani.github.io/

b-man

5 miesięcy temudiscuss

Location: EST Remote: Yes Willing to relocate: Yes (US preferred)

Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux

Email: ebellani at gmail

I work on high-throughput PostgreSQL systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work:

Re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) receiving 200+ writes/sec. I focus on “rescue architecture” work: fixing dangerous schemas, stabilizing hot paths, removing app-level complexity, and making Postgres scale without rewriting the product.

Open to consulting or full-time roles where Postgres is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/ https://ebellani.github.io/

b-man

6 miesięcy temudiscuss

> This is the reason for the push-back against it.

Do you have evidence for that? From memory, it was basically because it was associated with the java/.net bloat from the early 2000s. Then ruby on rails came.

b-man

6 miesięcy temudiscuss

Location: EST Remote: Yes

Willing to relocate: Yes (US preferred)

Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux

Email: ebellani at gmail

I work on high-throughput PostgreSQL systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work:

Re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) receiving 200+ writes/sec. I focus on “rescue architecture” work: fixing dangerous schemas, stabilizing hot paths, removing app-level complexity, and making Postgres scale without rewriting the product.

Open to consulting or full-time roles where Postgres is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/ https://ebellani.github.io/

b-man

7 miesięcy temudiscuss

I have written the entire backend of a fintech using nothing but postgresql, integration over http and webhook receival included (the last bit was with postgrest, but you get the point)

b-man

7 miesięcy temudiscuss

Location: EST

Remote: Yes

Willing to relocate: Yes (US preferred)

Technologies: PostgreSQL (partitioning, performance, OLTP architecture), SQL, F#, C#, C, Java, Clojure, Common Lisp, Scheme, Emacs Lisp, Python, Ruby, AWS, Linux

Email: ebellani at gmail

I work on high-throughput PostgreSQL systems, especially when they’ve grown into a state where migrations, performance, or schema design have become limiting factors.

Recent work:

Re-architected two multi-terabyte OLTP tables (~2TB and ~1TB) receiving 200+ writes/sec. I focus on “rescue architecture” work: fixing dangerous schemas, stabilizing hot paths, removing app-level complexity, and making Postgres scale without rewriting the product.

Open to consulting or full-time roles where Postgres is core to the business and performance/architecture matters.

Résumé: https://www.linkedin.com/in/eduardo-bellani/ https://ebellani.github.io/

b-man

7 miesięcy temudiscuss

> Not to mention that perfectly normalizing a database always incurs join overhead that limits horizontal scalability. In fact, denormalization is required to achieve scale (with a trade-off).

This is just not true, at least not in general. Inserting on a normalized design is usually faster, due to smaller index sizes, fewer indexes and fitting more rows per page.

b-man

7 miesięcy temudiscuss

fixed

b-man

7 miesięcy temudiscuss

Indeed. I was trying to make that point on my concluding paragraph.

b-man

7 miesięcy temudiscuss

> That may be. What's not specified there is the immense, immense cost of driving a dev org on those terms

I'm happy that we agree on the solution, but disagree only if it is cost worthy. About the cost, I took that into consideration when I wrote the conclusion:

> FAANG-style companies are unlikely to adopt formal methods or relational rigor wholesale. But for their most critical systems, they should. It’s the only way to make failures like this impossible by design, rather than just less likely.

There is an actionable plan in the article. It is possible to run teams like these. It is an economical decision of upper management to run the risk of having these outages vis-a-vis this alternative.

b-man

7 miesięcy temudiscuss

a fully normalized relation is one where the SQL (say) table in question represents one and only one predicate of your business rules.

It is literally impossible for that to be done automatically. Someone needs to look at the resulting code and confirm that that was the case.

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