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Backpressure in Microservices
Bounded Queues, Worker Pools, Cancellation, Drop Policies, and Overload Control in Go
Stop overload from becoming unbounded queues, goroutines, and downstream calls.
Build bounded backpressure that fails predictably.
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$19.99
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About
About the Book
Backpressure is what keeps overload from becoming unbounded queues, goroutine growth, retry storms, and downstream collapse.
This Production Field Manual shows how to make overload explicit inside microservices: bounded admission, non-blocking enqueue, worker pools, drop policies, context cancellation, queue age, and downstream concurrency control.
The book is written for software architects, senior engineers, SREs, platform engineers, DevOps teams, and technical leaders who need production systems to degrade predictably instead of failing mysteriously.
It connects backpressure with the other resilience patterns in the series: rate limiting controls caller demand, circuit breakers stop dependency failure amplification, retries must stay inside budgets, bulkheads isolate capacity, and backpressure bounds what each service accepts and executes.
Inside you will find:
- a production architecture model for bounded overload control
- Go implementation guidance with a small companion module
- queue age and stale work analysis
- drop policy decision criteria
- Kubernetes operational checks
- Prometheus-style alert templates
- troubleshooting taxonomy for real incidents
- design review questions and rollout checklists
- FinOps and ROI framing
- team drills for senior engineering practice
- a reproducible hands-on lab with local dependency slowdown and overload simulation
This is not a generic overview of queues. It is a field manual for deciding what work to accept, reject, drop, cancel, or isolate when a service is under pressure.
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Resilient Microservices
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Author
About the Author
Luca Sepe
I help CTOs and platform teams design, build, and hand over Kubernetes-based platforms that can be understood, operated, and evolved by the teams that own them.
My work sits at the intersection of Go, Kubernetes API machinery, control-plane design, platform engineering, infrastructure automation, and distributed systems.
I am most useful when a team is not only deploying workloads to Kubernetes, but building a product, platform, or control plane on top of it. That is where API shape, controller behaviour, ownership boundaries, and automation design become long-term architecture.
I work through focused architecture discovery, hands-on implementation, design review, documentation, and structured handover.
The objective is to leave behind clearer technical decisions, production-oriented software, explicit ownership boundaries, useful documentation, and a team able to continue without me.
Typical problems I help with:
- Kubernetes APIs, CRDs, and resource lifecycle design
- controllers, reconciliation behaviour, and failure handling
- custom API servers and control-plane components
- Go infrastructure software and automation tooling
- platform architecture that must remain connected to code
- review and simplification of existing platform codebases
- documentation and handover for internal teams.
I also write practical technical material on Kubernetes controllers, client-go, Go services on Kubernetes, SRE workflows, AI platform engineering, and operational context for humans, tools, and AI agents.
Available for selected consulting, fractional, contract, and staff-level engagements.
The best first conversation starts from the engineering problem: what you are building, why it is difficult now, what decisions are hard to reverse, and what the internal team needs to own after the work is done.
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