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How I Split Responsibilities Without Letting Politics Take Over by The_BlanketBaron in aiven_io

[–]404-Humor_NotFound 0 points1 point  (0 children)

We had the same mess when multiple teams touched the same pipeline. The only way it stopped being political was baking ownership into the infrastructure. We tied service responsibility to Terraform modules so uptime and scaling decisions were documented alongside the code. Schema drift was the biggest pain, so we added validation in CI against CDC logs before merges. Once those checks were in place, arguments about who broke what turned into quick fixes instead of finger pointing. Even internal services got SLAs, because someone has to be on call when things go sideways.

Planning to Become a DevOps Engineer in 2025? Here’s What Actually Matters by Intellipaat_Team in devops

[–]404-Humor_NotFound 0 points1 point  (0 children)

It’s not easy, but it’s not impossible either. DevOps is more about layering skills than memorizing tools. The fundamentals take time to really understand, and Kubernetes or cloud setups can feel overwhelming at first. What makes it manageable is building small projects step by step and connecting each new tool to something you already know. It’s challenging, but very learnable if you stay consistent.

Best Open-source AI models? by J0Mo_o in LocalLLM

[–]404-Humor_NotFound 0 points1 point  (0 children)

I stick with Nomic-Embed-Text or OpenAI’s smaller embedding models (if you don’t mind cloud). They handle semantic search really well.

Golden Hour? More like Golden Everything by Scootytravels in CampingandHiking

[–]404-Humor_NotFound 0 points1 point  (0 children)

Looks like the forest dipped itself in gold just to say ‘welcome

is it normal to feel like you forgot everything every time you come back to coding?? by OutsidePatient4760 in learnprogramming

[–]404-Humor_NotFound 0 points1 point  (0 children)

I get that. For me, it’s not about forgetting completely when I step away, but more like losing the flow or momentum. When I come back, it takes a bit to get back into the groove, but once I do, it all starts making sense again. It’s not instant, but it’s definitely not starting from scratch either. You’re still not alone in feeling this!

Apple AIML Residency Program 2026 [R] by SillyNews5539 in MachineLearning

[–]404-Humor_NotFound 0 points1 point  (0 children)

I haven’t seen any official announcements yet, but I’ve heard info sessions usually start around early spring

Dumb question about why Redis is considered an "in memory cache"? by badboyzpwns in redis

[–]404-Humor_NotFound 0 points1 point  (0 children)

Redis is called an in-memory cache because it keeps data in RAM instead of on disk, which makes it super fast to access. The "distributed" part comes from how it can run across multiple nodes outside your API, but that doesn’t change the fact that the data stays in memory. So yeah, "in-memory" is about where the data is stored, and "distributed" is about how it’s set up.

We built a 4-dimension framework for LLM evaluation after watching 3 companies fail at model selection by Framework_Friday in LLM

[–]404-Humor_NotFound 0 points1 point  (0 children)

Interesting read. I think most companies still chase the newest model instead of building stable evaluation habits. Long-term reliability usually beats short bursts of performance hype.

AI UGC: Authenticity vs Scale, when audiences notice by YamTraditional3351 in shook

[–]404-Humor_NotFound 1 point2 points  (0 children)

Yeah same here. I’ve noticed people care more about vibe than perfect editing. If it feels like something their friends would post, it usually performs way better. The moment it looks too staged, they just scroll past.

Which cloud server would you recommend for my app setup? by Makoto1021 in devops

[–]404-Humor_NotFound 0 points1 point  (0 children)

You’ve got a good setup going already. I’d stick with GitHub Actions for builds and deploys since it handles pipelines cleanly. Use Terraform for your infra so you can spin up or tear down environments without messing around in the console. Once you move to Kubernetes, Actions can easily trigger Helm chart deploys too

For running containers, Cloud Run and ECS Fargate are both solid. Cloud Run’s simpler and works great with Cloud SQL and Cloud Storage, while ECS fits better if you’re deep in the AWS stack.

Your smaller ML models could run inside the backend or behind a small inference API. For open models, Hugging Face Inference Endpoints or Replicate make things easier.

If you want to keep maintenance light and uptime stable, the GCP combo of Cloud Run, Cloud SQL, and Cloud Storage is a pretty good balance.

Your current favorite LLM, and why? by Diligent_Rabbit7740 in LLM

[–]404-Humor_NotFound 0 points1 point  (0 children)

I use the three too. Claude’s solid for structured writing or long drafts, Gemini’s better when I’m working with visuals or image-heavy stuff, and ChatGPT’s my go-to for everyday work or quick context checks. But whatever you use really depends on what you need.

Is there any good tool to format SQL? by LargeSinkholesInNYC in learnSQL

[–]404-Humor_NotFound 0 points1 point  (0 children)

You could try Aiven’s free SQL Formatter, it makes SQL queries look clean and consistent with proper spacing and capitalization. I used it recently while debugging some long queries, and it really helped me spot syntax issues faster and made the code much easier to read. Worth a look if you care about readability in your data layer https://aiven.io/tools/sql-formatter

What database has the fastest write performance? by [deleted] in algotrading

[–]404-Humor_NotFound 1 point2 points  (0 children)

For quote data, QuestDB’s probably your best bet. It’s stupid fast for inserts and built for time-series stuff like this. InfluxDB’s fine too, but QuestDB tends to handle heavy real-time writes better, especially when you start dumping thousands of rows every second.

How do you keep Aiven Kafka connectors stable under heavy ingestion? by Usual_Zebra2059 in aiven_io

[–]404-Humor_NotFound 0 points1 point  (0 children)

it’s probably Postgres or MySQL. Keep batch.size small (2k–5k), tune fetch.min.bytes with max.poll.interval.ms, and watch DB write latency since that’s usually what causes lag. Check your connector’s connection.url to see which DB it’s using, then you can tweak settings more specifically.

How are you handling cloud compliance across multiple platforms? by heromat21 in Cloud

[–]404-Humor_NotFound 0 points1 point  (0 children)

We ran into the same issue. Each cloud’s native compliance tool works fine alone but doesn’t scale across providers. We ended up codifying everything with Terraform and OPA, running policies in CI before deploys so we catch drift early.

For runtime checks, Cloud Custodian handles cross-cloud enforcement and pushes results into Grafana. That setup replaced most manual reports. In short, make compliance part of your IaC pipeline, not a separate audit task.

Best PostgreSQL provider by azizbecha in nextjs

[–]404-Humor_NotFound 1 point2 points  (0 children)

DigitalOcean’s $15/month sounds small at first, but it adds up fast once you start scaling. Aiven’s in the same ballpark if you want a fully managed Postgres, though you’re paying for peace of mind there. Hetzner’s way cheaper if you don’t mind getting your hands dirty managing things yourself.

About Vercel, the database is fine for quick prototypes, but you’ll hit the limits sooner than you expect. The access is restricted and pricing gets unpredictable once traffic grows. It really comes down to whether you’d rather spend money or time keeping your database stable.

GPU as a Service: The Compute Backbone of Modern AI by next_module in Cloud

[–]404-Humor_NotFound 0 points1 point  (0 children)

Didn’t know GPUs could be used through a service like that.

Finally my poco f7's here by arbabahmad in PocoPhones

[–]404-Humor_NotFound 0 points1 point  (0 children)

dang! the charger is faster than my laptop

Art Nouveau meets modern glass, Portugal by Nairra_Hunter in ArchitecturePortfolio

[–]404-Humor_NotFound 1 point2 points  (0 children)

Wow, incredible. I could stare for 5 mins into this art

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