
Demystifying database deployment in Kubernetes: Learn to deploy relational and NoSQL databases using K8s resources like Storage Classes, Persistent Volumes, and Stateful Sets.

Learn to create a scalable, self-service Database-as-a-Service for internal developer platforms using MongoDB, Kubernetes Operator, and ArgoCD, enhancing productivity and security.

Explore next-gen data wallets and operating systems, enabling user control of internet data. Learn about sign-in-with-ethereum, object capability, and graph database implementations for wallet-portable file systems.

Learn to develop GenAI applications using LangChain and databases within Docker. Explore new technologies for quick setup and gain insights from industry experts on leveraging large language models in your projects.

Explore how graph databases enhance IoT data analysis, enabling real-time insights and better decision-making in industries like oil and gas and transportation.

Learn to build robust stateful applications on DC/OS using the SDK. Explore storage provisioning, scaling, client discovery, operator management, and failure resilience for distributed systems like Apache Kafka and Cassandra.

Explore container storage options for robust Mesos applications, comparing local and external storage impacts on deployment, operations, and failure tolerance in production environments.

Learn to build an IoT data layer for collecting, storing, and analyzing data across edge and cloud environments using Linux and open-source tools. Explore distributed architectures, time series data, and real-time analytics.

Explores vulnerabilities in NoSQL databases, comparing threats to traditional SQL systems and demonstrating new attacks exploiting complex data types like JSON to bypass application-level access controls.

Learn to achieve zero Recovery Time Objective for Kubernetes disaster recovery using KubeSlice, minimizing data loss and downtime through effective strategies and practical demonstrations.

Exploring challenges in deploying real-time AI for finance and how open-source solutions like feature stores can address them. Includes case studies and resources for implementing MLOps in fintech.

Explore K8ssandra, a data layer solution for Kubernetes applications. Learn about Cassandra integration, monitoring, backup, and deployment strategies for efficient containerized data management.

Explore automated NoSQL exploitation techniques using NoSQLMap, focusing on MongoDB vulnerabilities and security risks in NoSQL databases.

Build a GenAI support bot using Docker, Neo4j, LangChain, and Ollama. Learn to create vector embeddings, integrate LLMs with knowledge graphs, and develop natural language Q&A systems.

Explore graph databases, NebulaGraph, and LLM integration to enhance AI infrastructure. Learn how Docker optimizes development, deployment, and efficiency in AI projects.

Comprehensive guide to web development, covering essential technologies, frameworks, and tools for building modern websites and applications. Ideal for beginners and experienced developers alike.

Explore challenges and solutions for scaling WebSocket-based IoT systems in Kubernetes, focusing on an EV charging platform and addressing reconnection storms through event-driven architecture and Redis-based circuit breakers.

Innovative hardware-assisted solution for RDMA performance isolation in multi-tenant clouds, enhancing resource sharing and preventing interference between tenants.

Insights on developing Kubernetes Operators for MongoDB in production environments, covering architectural decisions, performance optimization, and stateful workload management challenges.

NetMigrate: A novel approach for live migration of in-memory key-value stores using programmable network data planes, improving query throughput and maintaining low latency during migration.

Explore Debezium for real-time data streaming with MongoDB. Learn deployment topologies, outbox pattern implementation, and building scalable architectures for efficient data synchronization.