Your .Skip().Take() pagination isn't constant-time.
The DB processes every row it skips. It can also skip/duplicate rows if data changes mid-paging.
Fix: Keyset Pagination β WHERE Id > lastId.
#dotnet#aspnetcore#efcore
JWTs are stateless - the server only checks signature + expiry. It never asks "did this user log out?"
So a token copied before logout keeps working until it expires.
Fix: short-lived access tokens + a revocable refresh token.
π https://t.co/Er6bS0Re5c
#dotnet#aspnetcore#jwt
async void is "Fire & Forget".
Exceptions in async void skip your try/catch AND your global middleware, then take down the whole app.
Use it for event handlers only. Everywhere else: async Task.
π https://t.co/Er6bS0Re5c
#dotnet#csharp#aspnetcore#webdev
That ASP NET Core 400 you can't reproduce?
[ApiController] validates the model before your action. Wrong type, bad JSON, missing [Required] β instant 400. Breakpoints skipped.
Read the errors dictionary, not the controller.
https://t.co/Er6bS0RLUK
#aspnetcore#dotnet
async didn't make your EF Core code faster.
SaveChangesAsync() inside a loop = 1 DB round-trip per row. Move it outside β 1 trip.
async = non-blocking. batching = fast.
https://t.co/Er6bS0Re5c
#dotnet#efcore
Your ASP NET Core API running in Docker is not automatically production-safe.
If you never set a non-root user, your app may be running as root inside the container.
π https://t.co/Er6bS0RLUK
#ASPNETCore#Docker#DevOps#DotNet
If a service is drowning, don't throw it more lead. Use exponential backoff + jitter, or better yet, open the Circuit Breaker and fail fast.
Production-ready patterns here: https://t.co/Er6bS0RLUK
#Coding#Architecture#Backend#DistSys
Custom logging middleware is the #1 cause of "Mystery" OOM exceptions in new APIs.
If you're calling EnableBuffering() globally, you're not "logging" - You're hoarding RAM.
https://t.co/Er6bS0RLUK
#Programming#Scalability#Backend#WebDev
If your POST endpoint doesn't support Idempotency Keys, itβs not production-ready.
A simple network hiccup shouldn't result in a double-charge for your users. Resilience > "Happy Path" logic.
https://t.co/Er6bS0Re5c
#BuildInPublic#BackendDev#SystemDesign#Programming
Rate Limiting by IP is often Lazy Engineering that punishes legitimate users.
It blocks 50 people share an office NAT.
Identity-based partitioning (User ID/API Key) is the best option.
πhttps://t.co/Er6bS0RLUK
#SystemDesign#WebAPI#CloudComputing#Backend
If you aren't passing CancellationToken to your EF Core queries, your API isn't actually "Production-Ready".
More production-level insights here: https://t.co/Er6bS0Re5c
#dotnet#csharp#backend#performance
Default EF Core behavior is a trap for read-only APIs. πͺ€
https://t.co/Er6bS0RLUK
The Fix? .AsNoTracking()
Leaner. Faster. Production-ready.
#dotnet#csharp#webdev#performance
If your https://t.co/PE1O9upu39 Core middleware uses .Result or .Wait(), you donβt have an async pipeline.
The full list of 7 common mistakes and their fixes: https://t.co/YbCql6vSce
#dotnet#csharp#webapi#backend
Following the IDisposable pattern for HttpClient is the fastest way to crash a high-traffic .NET API. π§¨
Use IHttpClientFactory instead.
Learn more: https://t.co/Er6bS0RLUK
#DotNet#CSharp#Programming#WebDev
Contrarian Take: "Clean Code" often kills performance.
π https://t.co/Er6bS0RLUK
Many devs use IEnumerable in their repository interfaces because it feels "Decoupled".
Reality: Youβre just forcing your API to download the entire DB table into RAM before filtering.
Your API isnβt Slow. Itβs Unprotected.
No Rate Limiting = Unlimited Load = Guaranteed Failure.
Start treating rate limiting as a core layer, not an optional feature.
https://t.co/Er6bS0Re5c
#dotnet#webapi