The silent crisis of documentation in modern infrastructure
Modern infrastructure often lacks proper documentation, leading to inefficiencies, security risks, and operational chaos. Here is why it matters and how to fix it.
Creating guardrails for LLM tools: Balancing productivity with security
Implement effective guardrails for LLM tools in your developer stack to enhance productivity while maintaining security, with practical strategies for risk assessment, access control, data protection, and continuous monitoring.
Rethinking internal platform usability: practical strategies to reduce developer friction and accelerate delivery
Explore actionable strategies to make internal platforms more usable, reducing developer friction and boosting delivery speed. Learn how feedback, documentation, consistency, and self-service drive meaningful improvements.
The Developer and the AI Co-pilot
AI is becoming a powerful co-pilot for developers, changing how they work. It assists with coding, debugging, automation, and learning. The role evolves, requiring skills in leveraging and validating AI tools for higher-level work.
What the AI-driven code assistant boom really means for platform engineering teams
AI code assistants promise efficiency, but their real significance for platform engineering is deeper: shifting bottlenecks, enhancing collaboration, and raising the bar on architecture and system resilience—not just writing code faster.
Setting effective SLOs for cloud-native applications
Learn how to implement SLOs to balance reliability and innovation for cloud-native applications
Mastering cloud costs: A practical guide to FinOps best practices
Cloud costs can quickly spiral out of control, but FinOps best practices offer a way to rein them in. Learn how to understand your cloud costs, implement budgeting and forecasting, optimize your resources, and foster a culture of cost awareness.
The Role of Observability in Cloud-Native Security: Real-Time Threat Detection and Response
Learn how observability enhances cloud-native security. Detect and respond to threats in real-time.
Balancing Automation and Human Oversight in Cloud-Native Incident Response
Learn how to balance automation and human oversight in cloud-native incident response to ensure speed, accuracy, and control in dynamic environments.
Navigating the complexities of multi-cluster Kubernetes management: strategies for consistency and control
Explore strategies for managing multiple Kubernetes clusters, ensuring consistency and control across environments.
Why progressive delivery matters for your cloud-native deployments
Progressive delivery minimizes risks in cloud-native deployments by rolling out updates gradually. Learn why it matters, how it reduces errors, and its real-world benefits for safer, faster releases.
Tackling data gravity in cloud-native applications
Learn strategies to manage data gravity in cloud-native apps, reducing costs and latency while improving performance through practical examples and tools.
Embedding policy as code in GitOps workflows
Learn how to integrate Open Policy Agent and Conftest into your GitOps pipeline, write a Rego rule to block mutable image tags, and configure OPA audit logging for real-time compliance reporting.
Securing your CI/CD pipeline: practical patterns for supply chain defense
Defend your CI/CD pipeline against supply chain attacks. Learn practical patterns: secure source code, manage dependencies, harden builds, sign artifacts, protect secrets, and monitor activity. Protect your software from compromise.
Preventing Resource Starvation and Noisy Neighbors with Kubernetes Resource Quotas
Resource quotas in Kubernetes prevent resource starvation and noisy neighbors by limiting resource consumption per namespace. This ensures fair allocation and stable performance across applications.
Embedding FinOps checks in CI/CD pipelines
Turn cloud costs into actionable tests by adding money checks to CI/CD. Learn why cost belongs next to unit tests, which tools to use, and how to fail builds when budgets break.
GitOps for database schema changes
Apply GitOps principles to database schemas for consistent migrations and prevent production drift. Use Git for version control, automation, and drift detection.
Scaling your internal developer platform: Beyond the initial build
Internal developer platforms (IDPs) face scaling challenges beyond initial setup. This post identifies common operational bottlenecks like onboarding friction, integration complexity, and performance issues, offering strategies like standardization, automation, and observability to ensure sustainable growth.
Bridging the developer experience gap: why your internal platform needs more than just tech
Building an effective Internal Developer Platform requires focusing on developer experience (DX), not just technology. Treat the platform like a product, engage with developers, and invest in documentation and support to bridge the DX gap.
Tracing the invisible: finding and fixing hidden reliability killers in Kubernetes clusters
Hidden failures in Kubernetes can quietly erode reliability. Learn how to trace, diagnose, and fix these issues using the right tools and practical examples to surface problems before they escalate.
Platform engineering anti-patterns: lessons from teams who tried to build it all
Many teams fail at platform engineering by trying to build everything in-house. Learn concrete anti-patterns, with examples, and practical lessons on focus, sustainability, and user-driven internal platform development.
Real-world pitfalls of automating production rollbacks: patterns, trade-offs, and what teams miss
Automating production rollbacks can backfire. This post covers where teams stumble, practical rollback patterns, trade-offs, and the critical aspects often missed when protecting systems with automation.
Practical strategies for cost-efficient cloud-native architectures without sacrificing reliability
Concrete strategies for building cost-efficient cloud-native systems without losing reliability. Covers right-sizing, managed services, scaling, observability, graceful degradation, and real-world examples.
Pattern-driven incident response: building playbooks that actually work in cloud-native environments
Pattern-driven incident response playbooks use modular, reusable patterns for flexible, effective handling of incidents in cloud-native environments. This approach beats static scripts, adapts to change, and improves response quality and speed.
Zero trust networking beyond the buzz: practical patterns and pitfalls for cloud-native teams
Pragmatic guidance for cloud-native teams adopting zero trust networking: core patterns, real-world use cases, and common pitfalls to avoid. Move past buzzwords with practical examples for modern cloud security.
Shifting left on infrastructure: security, compliance, and observability in Terraform workflows
How to move security, compliance, and observability to the start of your Terraform workflow by using policy as code, automated checks, and standardized modules, with practical examples and actionable advice.
Managing security risks in a multi-cloud environment
Revised strategies for managing multi-cloud security, including centralized management, policy standardization, and continuous monitoring, provide clear steps to reduce complexity and risk while enhancing team knowledge.
Building a cloud-native observability framework: Lessons and best practices
Explore pivotal lessons and best practices for building a cloud-native observability framework. Learn how to integrate observability from the start using industry-standard tools and data-focused strategies.