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  1. Aior

    Running a forum community in 2026: the operational side nobody documents

    [HEADING=2]The community work is invisible until it isn't[/HEADING> A forum looks like a piece of software. It runs on one. The actual work of running a community is largely human — moderation policy, conflict resolution, member onboarding, content seeding, spam defence. Below is the operational...
  2. Aior

    Database operations that don't wake you up at 3 AM: backups, replicas, migrations

    Database ops is where most production incidents come from A surprisingly large fraction of "the system is down" incidents trace to the database layer — bad migration, replica drift, backup failure, IO saturation, version upgrade gone wrong. The patterns below are what we apply to keep databases...
  3. Aior

    Shared hosting in 2026: who it's still right for, and where it stops working

    Shared hosting is not dead — it changed shape A lot of "shared hosting is obsolete" takes ignore that it's still the cheapest path to a working website for the majority of small sites worldwide. The product changed: cPanel + LiteSpeed + isolated user accounts on modern NVMe is a different thing...
  4. Aior

    Buying a domain in 2026: registrars, drop-catching, and the things to verify

    The domain market is not what it looks like The domain you want is either available (cheap, just register), held by someone with no intent to sell (effectively unavailable, despite being parked), or for sale (expensive, often more than buyers expect). The strategy for each is different. Below is...
  5. Aior

    Headless CMS vs static site generators: when each one is the right tool

    Two architectures for the same outcome[/HEADING> Both headless CMS and static site generators (SSGs) produce websites where the content layer is decoupled from the rendering layer. They get used interchangeably and shouldn't be — they fit different team and content shapes. Below is the practical...
  6. Aior

    MongoDB, DynamoDB, Cassandra, Elasticsearch: where each one earns its place

    [HEADING=2]Picking a non-relational store, untangled[/HEADING> "Should we use NoSQL?" was the question 10 years ago. The honest answer in 2026 is: probably not as your primary, often as your secondary. Modern Postgres handles a lot of what was once "NoSQL territory" (JSON, full-text search...
  7. Aior

    LLMOps in 2026: cost, drift, monitoring, and the rollback you didn't plan

    [HEADING=2]LLMOps is just ops, with new failure modes[/HEADING> The LLM in your application is a dependency. Like any dependency, it can change unexpectedly, fail, get expensive, drift. The patterns below are what we apply to keep LLM-powered features reliable in production. [HEADING=2]Cost...
  8. Aior

    The test pyramid in practice: which layer is worth investing in for the team you have

    The pyramid is the right shape, but the proportions are negotiable The "test pyramid" — many unit tests, fewer integration tests, very few end-to-end tests — is correct as a default. It's also a default that gets misapplied. Different products and different teams should have different...
  9. Aior

    Fine-tuning vs RAG vs prompting: when each is the right tool

    The decision that wastes the most money "Should we fine-tune?" is one of the most-asked, most-overdone decisions in LLM work. Fine-tuning is expensive, locks you into a snapshot of a model, and is often the wrong answer to a problem that prompting + RAG could have solved cheaper. Below is the...
  10. Aior

    Server hardening in 2026: the minimum viable security for a production Linux box

    Most "hardening" docs are 90 % noise You can find a 200-line "Linux hardening checklist" with one search. Most of it is dated, low-value, or actively wrong (disabling IPv6, sysctl tweaks for "security" that haven't mattered since 2010). The list below is what actually matters in 2026...
  11. Aior

    Modular monolith vs microservices in 2026: scale the architecture when the team needs it

    The architecture pendulum has swung The microservices-by-default era is over. The modular-monolith pattern has reasserted itself, and most teams in 2026 are happier with a well-structured monolith than they would be with five microservices doing the same job. The question isn't "monolith or...
  12. Aior

    Building LLM applications that ship: RAG, tools, and the moat that's actually defensible

    The shape of an LLM application that survives a year There's a very specific kind of LLM application that ships, gets used, and is still running a year later — the one where the model is a component in a system, not the system itself. Below are the patterns we've seen consistently produce that...
  13. Aior

    Backups that actually restore: 3-2-1, restore-tested, off-site

    [HEADING=2]The most useless thing in the world is an untested backup[/HEADING> Every team that's lost data had backups. Most also had backups that didn't restore — corrupt files, missed databases, broken scripts, expired credentials, off-site copy that wasn't synced for six months. The patterns...
  14. Aior

    Native, Flutter, React Native, Kotlin Multiplatform: picking a mobile stack in 2026

    The mobile stack debate, in 2026 The "native vs cross-platform" conversation is older than most of the engineers having it. The answers have changed. In 2026 the realistic options are: native (Swift / Kotlin), Flutter, React Native (with the new architecture), and Kotlin Multiplatform Mobile...
  15. Aior

    Prompt engineering as a software discipline: versioning, evals, and the contract

    The "prompt engineering is dying" take is wrong Every six months, someone declares prompt engineering dead because models are smarter. The reality is the opposite: as models get more capable, the cost of a bad prompt increases — because the model will confidently do the wrong thing at scale...
  16. Aior

    Nginx, Caddy, HAProxy, Envoy: which web frontend for which job in 2026

    Four tools, four different jobs The "web server" decision is mostly a "front-of-stack" decision in 2026. The actual web server (Apache / Nginx as content server) matters less; the reverse proxy / load balancer / TLS terminator that sits at the edge matters more. Four mature options, each with a...
  17. Aior

    Factory dashboards that drive decisions, not vanity: a practical pattern

    The wall of dashboards everyone has[/HEADING> Walk into any factory in 2026 and there's a wall of monitors. Throughput. OEE. Quality first-pass yield. Energy consumption. Inventory levels. Most of those dashboards are looked at twice a day at best, and the decisions they're meant to support are...
  18. Aior

    Industrial R&D project structure: TÜBİTAK / Horizon Europe / EUREKA — what actually changes

    Funded R&D is its own engineering discipline Running R&D on commercial budgets is one thing. Running it on TÜBİTAK 1501/1505/1507, KOSGEB R&D, Horizon Europe Cluster, or EUREKA / Eurostars funding is a different discipline — the technical work is similar, the project management is structurally...
  19. Aior

    SRE in practice: incidents, on-call, error budgets, and the discipline that makes them work

    SRE is a discipline, not a job title "Site Reliability Engineering" became a buzzword years ago. The actual practice — committed reliability targets, error budgets, post-incident reviews, on-call discipline — is genuinely valuable and is what separates teams that ship reliably from teams that...
    • Aior
    • Thread
    • Replies: 0
    • Forum: SRE
  20. Aior

    OEE done honestly: why most numbers are wrong, and what to do about it

    The OEE that gets reported is not the OEE that exists Overall Equipment Effectiveness — Availability × Performance × Quality — is the single most-quoted manufacturing KPI and one of the most-fiddled-with. We've audited a lot of factory OEE numbers. The real number is almost always 10-30...

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