
Explore Vertical Slice Architecture as an alternative to traditional layered approaches, focusing on its advantages for building scalable, adaptable software in fast-paced development environments.

Explore how Kubernetes and MLOps practices enable scalable, reliable, and reproducible generative AI workflows, empowering organizations to unlock the full potential of AI with seamless scalability and operational excellence.

Explore challenges and solutions for running large-scale API Gateway on Istio, including performance optimization, cost management, and implementing region failovers using Argo workflows.

Explore DevRev's journey with Istio service mesh, from implementation challenges to scaling solutions. Learn best practices for maximizing Istio's potential in globally-distributed SaaS products.

Explore Ambient mesh's architecture for improved Istio scalability, covering sidecar removal, Kubernetes controller redesign, and new configuration protocols for enhanced service mesh performance.

Explore multi-tenancy architecture approaches, their pros and cons, and how to handle unique configurations. Learn about hidden costs, long-term impacts, and recent advancements in tooling for better support.

Explore Flux's capabilities for orchestrating multi-tenancy Kubernetes environments, enabling efficient and secure software delivery across diverse tenant workloads in complex application landscapes.

Learn strategies for implementing multi-tenancy in MLOps, covering resource sharing, isolation, security, and efficient scaling using open-source tools like Flyte for improved ML operations.

Explore challenges and solutions for running Kubernetes in distributed edge environments, focusing on wellsite automation and equipment control in the oil industry. Learn about EVE for secure, scalable edge deployments.

Explore how Lilt leveraged Istio to scale AI-powered translation services, improving system stability and product velocity through microservices architecture and Kubernetes integration.

Explore Ceph benchmarking complexities, tools, and protocols. Learn scalable techniques for Librados, RBD, CephFS, and RGW to optimize performance at large scale.

Explore Event-Driven Ansible for automating day 2 operations of Kubernetes clusters at scale, enhancing management and maintenance across multiple environments.

Explore synaptic services: a revolutionary approach modeling components as neurons and connections as synapses for robust, efficient event-driven architectures.

Explore distributed SQL transactions and two-phase commits, learning implementation over PostgreSQL and handling server failures in large-scale data systems.

Explore orchestrating RAG pipelines, optimizing retrieval strategies, and leveraging Canopy and Pinecone for scalable AI applications with billions of documents.

Explore post-microservices approaches and Uber's non-microservices systems for maintaining developer productivity in large-scale engineering environments.

Explore Motorway's journey from coupled systems to event-driven architecture, focusing on team collaboration, domain boundaries, and asynchronous APIs for rapid, decoupled implementation.

Discover advanced techniques to leverage LLMs cost-effectively. Learn strategies for using SLMs, LLM distillation, and prompt unit testing to overcome budget constraints while maintaining quality in GenAI projects.

Explore performance bottlenecks in Slack's desktop app, examining architectural decisions and strategies to mitigate inefficiencies causing system strain.

Discover key indicators for transitioning from a monolithic architecture to microservices, enhancing system scalability and efficiency in software development.

Overcome cultural barriers and team silos to successfully adopt platform engineering practices in large organizations.