Realtime Data Streaming - End-to-End Data Engineering Project
Build a real-time data streaming pipeline using Apache Airflow, Kafka, Spark, and Cassandra. Learn end-to-end data engineering, from ingestion to processing and storage, all containerized with Docker.
Google Cloud Real-Time Streaming - End-to-End Data Engineering Project
Build an end-to-end data engineering pipeline for real-time YouTube Analytics, using Python, Google Cloud, Docker, and Kafka. Learn to fetch, process, and stream data, with instant Telegram notifications.
Realtime Socket Streaming with Apache Spark - End-to-End Data Engineering Project
Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.
Apache Airflow with Spark for Data Engineers - Full Course
Build end-to-end data engineering projects using Apache Airflow, Docker, Spark, and multiple programming languages. Learn to create and submit jobs to Spark clusters for processing and view real-time results.
Realtime Change Data Capture Streaming - End-to-End Data Engineering Project
Implement real-time Change Data Capture streaming using Docker, Postgres, Debezium, Kafka, Apache Spark, and Slack. Create an efficient data pipeline for responsive data engineering projects.
From Code to Cloud: Quality Kubernetes Deployments with Monokle
Master Kubernetes deployments using open-source tools. Learn to install apps, configure resources, implement OPA validation, use Kustomize overlays, and compare deployments for efficient cloud-native development.
Kubernetes 101 Workshop
Dive into Kubernetes core concepts, practical use cases, and hands-on labs to master container orchestration and level up your skills in this interactive workshop.
Containerization and Orchestration: Hands-on Docker and Kubernetes Deployment
Containerize applications with Docker, create Kubernetes clusters, and deploy apps in this hands-on exercise. Master essential containerization and orchestration skills.
Accelerating the Path to Production with Fabric Topologies
Explore advanced Fabric features through working examples. Learn about Mutual TLS, CouchDB clusters, Channel Participation API, and more. Gain insights for production deployment and scaling of Hyperledger Fabric networks.
From Standards to Practice: The Journey to Container Maturity
Discover how Yelp manages container security at scale, from implementing vulnerability tracking to developing maturity models that guide thousands of engineers in maintaining robust Docker and Kubernetes deployments.
What Containerd 2.0 Means for Production Environments
Discover the key changes and preparation strategies for containerd 2.0, including new features, extension points, and backends for image operations while learning how to manage the upgrade process effectively.
Managing and Distributing AI Models Using OCI Standards and Harbor
Discover how to effectively manage and distribute AI models using OCI standards and Harbor, covering model structures, security, replication, and acceleration mechanisms for enterprise deployment.
Shifting Gears: Leveraging CNCF Tools to Streamline Operations at Toyota Connected
Discover how Toyota Connected streamlined operations by implementing CNCF tools like ArgoCD, Backstage, and Harbor, improving collaboration and reducing time to market through standardized practices.
Podman: Leaving the Dock - Building and Managing Containers Beyond Docker
Discover how to build and manage containers with Podman, exploring rootless containers, deployment strategies, and real-world applications for both developers and DevOps engineers.
How We Streamlined Our SDLC with Observability - From GitHub via Jenkins, Harbor, Argo to K8s
Discover how to optimize software delivery lifecycles through cloud-native observability, tracking value flows, identifying bottlenecks, and implementing continuous improvements across development tools and processes.
Ranching a Kubernetes Cluster with Ubuntu Base Image
Discover how to efficiently deploy and manage Kubernetes clusters using Rancher with Ubuntu base images, exploring best practices and practical implementation strategies.
LLMOps with MLflow - Document Classification Using Fine-Tuned LLM Models
Master end-to-end document classification using MLflow for LLM fine-tuning, inference, and deployment with Docker. Build robust APIs and implement CI pipelines for efficient machine learning operations.
Containerd Fundamentals - Understanding Container Management in Kubernetes
Dive into the core technology behind Docker and Kubernetes, exploring containerd's role in managing containers, images, and runtime integrations for cloud-native applications.
10 Years of Kubernetes History: Evolution, Impact, and Future Perspectives
Explore the decade-long evolution of Kubernetes through firsthand insights from a tech veteran who worked at Google, Red Hat, and VMware, gaining perspective on its impact and future.
Building a Complete Infrastructure Ecosystem with Kubernetes Ready for Production
Master the rapid deployment of production-ready infrastructure using Docker, Kubernetes, and Rancher through hands-on practice, enabling efficient and scalable application management.
Applying Generative AI to Container CVE Remediation in CI Pipelines
Discover how to leverage generative AI for automating container vulnerability remediation in CI pipelines, with practical demonstrations and implementable solutions for efficient security management.