Analyze the pros and cons of microservices and monolithic architectures with specific use cases. Offer a decision-making framework that developers can apply.
Learn how to effectively deploy and manage Kafka on Kubernetes with our comprehensive guide. Discover best practices, tips, and tools to optimize your streaming applications.
TCPCopy is a TCP stream replay tool for realistic testing, and its architecture has evolved from a single program into a distributed load-testing framework.
Learn how to implement and expose common retry features for Feign clients through application configuration, using the Spring Cloud Framework efficiently.
This guide will help you choose the best automation testing tool between Cypress and Selenium, highlighting their features, advantages, and limitations.
Learn how to secure your Kubernetes clusters using Pod Security Admission to enforce security standards and protect your containers from potential threats.
Understanding the foundations behind the LangChain framework provides universal knowledge that can be applied when building complex agent-based systems.
Karpenter: Fast, real-time scaling; great for dynamic workloads and cost optimization. Cluster Autoscaler: Reliable and simple; best for predictable, stable workloads.
Automate build, test, and deploy with Jenkins, Docker, and Kubernetes, using feature flags for flexible, controlled releases. Ideal for rapid CI/CD workflows.
AIOps can be implemented into new and existing observability workflows to increase scalability and uptime, improve incident detection, and reduce manual effort.
High Availability (HA) ensures Kubernetes workloads stay operational during failures or traffic spikes, and platforms like EKS, AKS, and RKS simplify its implementation.
Kconnect is a simple CLI tool that quickly connects to Kubernetes clusters like EKS, AKS, and RKS, saving time by generating kubeconfig files instantly.
jMolecules uses annotations to enforce architectural rules, prevent software erosion, and simplify validation with tools like ArchUnit. It supports DDD, CQRS, and more.
We will discuss the steps for deploying a Kubernetes cluster, delving into the complexities involved, and offering troubleshooting tips to address common issues.
A simple experiment with multiple collaborative AI Agents interacting via group chat to produce solutions architectures based on business requirements.
Learn what distributed parallel processing is and how to achieve it with Ray using KubeRay in Kubernetes to handle large-scale, resource-intensive tasks.