u/FantasticPosition249

Hello folks !

I am migrating from airflow 2.9.0 to 3.1.8
All dags related changes are done and configuration related also.

So in current airflow prof we have deployed it on EC2 with ECS. So all of containers ( webserver , Postgres’s , redis , scheduler, celery worker) is working fine in M6a.large instance type.

But when we do test deployment with airflow 3.1.8 api server and celery worker is killed by OOM when more then 10 dags are scheduled together and even ideal state api-server is using around 1.8 gb memory. Any one facing same issues ? What is work around for this ? Any suggestions how to scale it ? How all other using which architecture ?

Any suggestions are appreciated! Thanks

Hey folks,

I’m currently living in a PG at Blumen, Vikhroli West (very close to the station), and I’ve got an empty bed in my master bedroom. Instead of letting a random broker assign someone, I’d rather find someone here with a good vibe match 🙂

About the place:

Location: Blumen, Vikhroli West (near station – super convenient)

Rent: ₹15k (non-negotiable)

Deposit: You’ll have to discuss with the owner directly

No brokerage – I’ll connect you directly with the owner

Fully veg flat (all flatmates are vegetarian)

Daily maid for cleaning

Cook comes twice a day (morning around 7–8 AM and night)

→ If you leave early for office, you can pack your lunch from here

Flatmates are chill and easy-going

Extra perks:

Walking distance from station → all shops nearby

2–3 good food spots around

Blumen has a nice terrace for walking/relaxing

About me:

I’m 21 M, working as a DevOps Engineer. Pretty chill, respect personal space, and prefer a clean + positive environment.

Why I’m posting here:

A broker is already trying to fill the spot, but I don’t want just anyone random. If we vibe well, I’ll directly connect you with the owner so you save brokerage and we both get a good flatmate situation.

If you’re interested, DM me with a bit about yourself 👍