ZopDev writing tagged cloud-computing. Engineering and FinOps notes, post-mortems, and benchmarks.
Terraform, OpenTofu, or Pulumi, the tool matters less than how you use it. Here's what actually works in production: state management, module design, testing layers, secrets hygiene, and drift detection in 2026.
PU is the wrong scaling signal for queue workers, batch jobs, and async services. Learn how KEDA scales on queue depth, Kafka lag, Prometheus metrics, and cron schedules to cut idle compute costs by up to 73%.
Discover the hidden financial impact of launching cloud instances. Learn how FinOps and DevOps integration prevents over-provisioning and reduces cloud waste.
Cloud scaling isn't magic, it's a deliberate process. Learn how provisioning, networking, and health checks impact performance and how to design better systems.
Discover proven DevOps strategies to reduce cloud waste by up to 60%. This guide explores rightsizing, automation, monitoring, and cultural shifts to help teams scale cloud-native infrastructure efficiently and cost-effectively
AI is reshaping DevOps—enabling faster delivery, smarter automation, and greater resilience. Explore 5 key ways AI is transforming the DevOps lifecycle across culture, tools, and infrastructure.
Weak secrets management remains a top cause of data breaches. Learn best practices, tools, and technical strategies to secure sensitive credentials in cloud-native environments.
Explore essential cloud compliance frameworks like SOC 2, ISO 27001. Learn their requirements, implementation strategies, and how to secure your cloud environment while staying compliant with key regulations. Let me know if you'd like alternative versions focused more on security, industry use cases, or long-tail keyword integration.
Kubernetes is powerful—but let’s face it, it often feels like a black box wrapped in YAML. This blog breaks down why Kubernetes feels so overwhelming and shows you how to simplify it using real-world tools like Terraform, GitOps, and automation platforms like Zopdev.
Explore the technical roots and evolution of observability, from early control theory and systems engineering to its modern application in complex, cloud-native architectures. Understand the driving forces, milestones and technical challenges that led to the need for modern observability.
Delve into the technical architectures of edge computing. Explore its core components, use cases, challenges, and how it complements cloud computing to enable low latency and efficient data processing.
One post a week. Sundays. No "10 ways to think about cloud" listicles, just the engineering and FinOps notes we'd want to read.
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