Distributed Tracing with OpenTelemetry
Let's say your POST /orders API is taking 5 seconds. Behind it, the Order Service calls Inventory Service, Payment Service and Notification Service, and some of them talk to databases. Metrics tell yo
SoftwareEngineering
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Understanding How ReplicaSets Protect Every Pod in Kubernetes
We all started by memorizing kubectl create -f some-random.yaml and hoped the pods would magically run. But somewhere deep inside, there was this itch: who is making sure things don’t fall apart when
🚢 If You Don’t Get Pods, You’ll Never Get Kubernetes—Here’s Why
When I first heard about Kubernetes, I thought I just needed to learn how to deploy containers. Simple, right? But then came the term Pod — and I assumed it was just Kubernetes-speak for a container.
How we implemented canary releases in kafka without breaking production
The Problem: "Move Fast, But Don’t Break Things" Our team needed a way to: Test new code safely (without impacting all users). Limit failures to a small subset of traffic. Roll back instantly if so
Ordering Guarantees in Apache Kafka Producers
In distributed systems, message order can make or break correctness for certain use cases—especially financial transactions, audit logs, or real-time event tracking. Kafka helps maintain order in a pr
Kafka Producer Configuration
Kafka Producer Overview Writing messages to Kafka serves many purposes: enabling asynchronous communication between microservices, buffering data before database writes, event sourcing, and more. Each
Kafka Producer Architecture
Kafka producers are responsible for sending data to Kafka topics. Let’s break down how a Kafka producer works internally, step by step, based only on what is required to deliver a message reliably and