How a Website Works: Clients, Servers, and the Network That Connects ThemA Technical Breakdown of the Core Components Behind Every Web Request
Learn how a website works under the hood - clients, servers, DNS, routers, and switches - with practical examples every engineer should understand
DevOps Automation: Tools and Techniques for Streamlining WorkflowsLearn how DevOps automation tools like GitHub Actions, Terraform, and Ansible streamline workflows, reduce toil, and accelerate delivery for software engineering teams.
A practical engineering guide to CI/CD pipelines
DevOps Best PracticesInfrastructure as Code, Monitoring, and Incident Management
Learn DevOps best practices for Infrastructure as Code, observability, and incident management - practical guidance for engineering teams building reliable systems at scale.
AWS Monitoring and Logging: CloudWatch and CloudTrail OverviewMaster AWS observability with the two most critical services that keep your infrastructure visible, secure, and compliant
Learn the brutal truth about AWS CloudWatch and CloudTrail monitoring. Discover practical implementation strategies, common pitfalls, and the 20% of features that deliver 80% of your observability needs.
Parsing and Aggregating Log Data: A Deep Dive into Error Counting PatternsFrom Raw Logs to Actionable Insights: Building Robust Log Analysis Functions
Learn how to parse and aggregate log data efficiently. Explore patterns for counting errors per user, handling edge cases, and scaling log analysis in production.
System Design and Operational Overhead: The Hidden Cost of ComplexityUnderstanding, Measuring, and Minimizing the Burden of Running Systems in Production
Learn how to identify, measure, and minimize operational overhead in system design. Practical strategies for building maintainable systems.
The Hidden Costs of Architecture Decisions: Trade-offs Every Backend Developer Must KnowUnderstanding the long-term impact of microservices, monoliths, and hybrid approaches
Discover critical trade-offs in backend architecture decisions. From microservices complexity to monolithic simplicity, learn which patterns fit your project's needs.
Observability-Driven Refactoring: Data-Informed Granularity ChoicesLetting Runtime Insights Shape Your Service Decomposition
See how observability-driven refactoring uses real-world runtime data to guide service decomposition and integration, leading to more effective and healthy granularity in distributed systems.
Patterns for Healthy Granularity: Practical Strategies for Modern ArchitecturesApplying Capability, Modularity, Contract-First, and Observability Patterns
Unlock practical patterns for achieving healthy granularity in your architecture by combining capability-centric design, evolutionary modularization, contract-first APIs, and observability-driven decisions.