Flink

Deploying Flink on Kubernetes

Understand the native Kubernetes deployment modes for Flink, how the Flink Kubernetes Operator manages job lifecycle, and key production configuration.

Flink Architecture

A tour of Flink's distributed architecture: JobManager, TaskManagers, slots, and how a job is deployed and coordinated across a cluster.

Flink Best Practices

Battle-tested guidance for tuning state, parallelism, checkpointing, and watermarks in production Apache Flink jobs.

Flink Interview Questions

Common Apache Flink interview topics covering architecture, state and time semantics, and fault tolerance.

Flink Quick Reference

A cheat sheet of core Flink APIs, configuration keys, CLI commands, and deployment modes.

Flink vs Spark Streaming

A technical comparison of Flink's true streaming model against Spark Structured Streaming's micro-batch engine.

Flink with Kafka

Understand how to build reliable, exactly-once streaming pipelines by connecting Apache Flink to Apache Kafka as both source and sink.

Installing and Running Flink

A practical guide to installing Apache Flink locally, starting a standalone cluster, and submitting your first job through the CLI and Web UI.

Keyed State and Operator State

How Flink's two fundamental state primitives differ in scope, partitioning, and redistribution during rescaling.

Monitoring with the Flink Dashboard

Learn to read Flink's web dashboard and metrics system to diagnose backpressure, checkpoint failures, and skewed workloads.

Serialization in Flink

How Flink serializes records for network transfer, state storage, and checkpointing, and why type information matters for performance.

The Flink Execution Model

How Flink transforms a program into a JobGraph and ExecutionGraph, schedules parallel tasks, and moves data between operators via streams and partitions.

The Table API and Flink SQL

Learn how Flink's Table API and SQL layer let you express streaming and batch pipelines declaratively on top of the DataStream engine.

What Is Apache Flink?

An introduction to Apache Flink, the open-source distributed engine for stateful computations over unbounded and bounded data streams.

Your First Flink Job

A hands-on walkthrough of writing, running, and understanding a simple Flink DataStream job that reads events, transforms them, and writes results.