biermic

Joined 7 years ago

Karma
150
Submissions
54
Member since
Jan 19
Freelance Consultant building reporting applications and SAAS products.
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Recent submissions

Comment · 1 year ago
The coding part of building a SaaS is the easier one. Get a job and build on the side
Comment · 1 year ago
Nope, we just decided to migrate to S3
Comment · 1 year ago
I've integrated it into two projects. Users loved it.
Comment · 1 year ago
Back in 2006 my blog got me a girlfriend. I think exposure in any way is beneficial.
Comment · 3 years ago
I don't, they'd probably rather sell what is left.
Comment · 3 years ago
2 things to add:

- I'd decouple the database writes with a message queue.

- Make sure that table is partitioned if you haven't. TimescaleDB's hyper tables are a good compromise here if you are already using Postgres..

Comment · 3 years ago
A lot of things but not really much at the same time
Comment · 3 years ago
AWS thought us that one cannot trust status pages
Comment · 3 years ago
Comment · 3 years ago
Could you reduce to 24 hrs per week? That would be 3 full days out of 7.
Comment · 3 years ago
That sounds like a wonderful lifestyle!
Comment · 3 years ago
Maybe something more basic. Like GOTO's
Comment · 3 years ago
Maybe a proper debugger?
Comment · 4 years ago
Redshift COPY from s3 is also affected.

  -----------------------------------------------
  error:  No response body.
  code:      30000
  context:   
  query:     1154965
  location:  xen_aws_credentials_mgr.cpp:403
  process:   padbmaster [pid=15893]
  -----------------------------------------------
Comment · 4 years ago
I have one running with a ~5TB big unpartitioned table. Adding ~9M rows per day, with significant read load via 2 replicas. Works just fine on a 32 GB memory RDS instance. There is another table half the amount of rows and I join the two 1000s of times a day.

Took a bit of fiddling around to have things run stable. Currently migrating to Redshift, which has stellar performance but comes with its own problems.

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