Resource contention
Resource contention is competition among concurrent operations, processes, or workloads for access to a limited shared resource.
Latency
Resource contention is competition among concurrent operations or workloads for a limited shared resource, causing some to wait.
- How it is used
- Explains why shared hardware and synchronization points can raise latency as concurrent demand grows.
- How deep it goes
- Works through VM sharing, lock waiting, benchmark timings, and partitioning trade-offs without specifying a universal contention threshold.
- Examples
- Uses competing VMs, a mutex-protected counter, and an API server handling 1,000 requests per second.
- What you can do after
- Diagnose/debug with it by measuring latency as concurrency changes and checking for shared locks, noisy neighbors, or hot partitions.
C++ Concurrency in Action, Second Edition
Thread contention is competition among threads for access to shared data, a resource, or a synchronization primitive.
- How it is used
- Uses contention to reason about multithreaded performance and guide data-structure and work-queue design.
- How deep it goes
- Explains waiting, cache transfers, and cache ping-pong, then discusses layout and queue designs that reduce contention.
- Examples
- Uses a shared atomic counter, a mutex loop, per-thread work queues, and a shared stack of pending work.
- What you can do after
- Diagnose performance risks by identifying shared counters, mutex loops, queues, and stacks that can become contended.
Read how C++ Concurrency in Action, Second Edition explains resource contention →
Kubernetes for Developers
Resource contention is competition among workloads for finite computing resources on shared infrastructure.
- How it is used
- Explains how Kubernetes preserves node operation when Pods compete for finite CPU or memory.
- How deep it goes
- Connects requests, limits, QoS, priority, eviction, and rescheduling, but stops short of detailed capacity-sizing procedures.
- Examples
- Uses timeserver Deployments, CPU and memory settings, QoS classes, eviction-order figures, and priority-class YAML.
- What you can do after
- Diagnose frequent evictions and configure requests, limits, QoS, priority, and cluster capacity accordingly.
Read how Kubernetes for Developers explains resource contention →
Related concepts
- mutexuses · A mutex is a synchronization primitive that provides controlled exclusive access to shared data or another resource.
- resource limitaddressed by · A resource limit is an enforced or configured maximum on the amount or rate of resource consumption or service activity within a specified scope.
- volatilityproduced by · Volatility is the degree or frequency with which a quantity, condition, or system varies or changes over time.
- global stateproduced by · Global state is information representing program or application conditions that is shared across multiple components, functions, or execution contexts.
- meanproduces · A mean is a measure of central tendency, calculated as the arithmetic average of values or, for a random variable, as the probability-weighted average of its possible values.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.