Draycott sofia (38 Ergebnisse)
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Paperback. Zustand: new. Paperback. Ship resilient event driven microservices on Kubernetes with Knative, clear contracts, safe rollouts, and observability you can act on.Synchronous chains amplify latency and failures. Teams need a platform that scales on demand, routes events predictably, and survives retries without double ef…fects. This book gives you a complete, practical system built on Knative Serving and Eventing, so services stay fast, routing stays transparent, and upgrades stop being risky.You will learn how to model CloudEvents, compose routes with Brokers, Triggers, Channels, Sequences, and Parallels, and run production traffic with delivery guarantees, security boundaries, and clear runbooks. Every concept is backed by manifests, CLI steps, and small working services.stand up knative serving and eventing, pick ingress classes kourier contour istio and switch safelydesign stable cloudevents with subject and type discipline, write cesql filters, reshape events with jsonata eventtransformset deliveryspec for retries backoff timeouts and dead letter sinks, build a dlq service for triage and replaytune kpa and hpa, set soft and hard concurrency, reduce cold starts with minscale image and startup tuningwire event sources apiserversource pingsource githubstyle webhooks and compose sinks with sinkbindingintegrate kafka and rabbitmq, choose broker versus channel, manage ordering consumer groups and hot partitionssecure transport and identity with tls gateway api cluster local routing oidc sender tokens and authorization policiesobserve with opentelemetry, prometheus metrics, jaeger or otlp traces across broker to subscriber, and consistent json logsuse kn and func for the inner loop, hot reload and local fixtures, choose dockerfiles buildpacks or ko for imagesbuild ci cd with tekton or github actions, sign images with cosign, promote with kustomize and argo cdoperate with ha controllers and webhooks, leader election pdbs topology spread, plus version aware upgrade and rollback plansapply production patterns idempotency and outbox sagas and compensation schema versioning and filter stability with cesqlThis is a code heavy guide, you get working YAML Bash Go Python JavaScript SQL Dockerfile and JSON examples that drop into real clusters and pipelines.Grab your copy today and run event driven systems that scale, stay observable, and keep shipping. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Master Kubernetes configuration with clear YAML, proven patterns, and production ready workflows.Struggling to keep Kubernetes manifests, Helm charts, and Kustomize overlays consistent across dev, staging, and production clusters can drain time and confidence. Small changes in YAML often have…big effects on Pods, Services, security, and traffic, and it is not always obvious why something broke.YAML FOR KUBERNETES: THE COMPLETE CONFIGURATION GUIDE walks you through real Kubernetes configuration from first manifest to full GitOps driven, multi tenant environments. You will see how to express intent clearly in YAML, validate and secure it, and operate it safely in real clusters.Understand how Kubernetes reads and applies YAML, including apiVersion, kind, metadata, spec, and status.Write reliable Pod specs, Deployments, ReplicaSets, StatefulSets, DaemonSets, Jobs, and CronJobs for real applications.Configure Services, Ingress, headless Services, DNS, and NetworkPolicies for clear traffic flow and practical isolation.Manage ConfigMaps, Secrets, volumes, PersistentVolumeClaims, and StorageClasses for twelve factor style applications.Set resource requests and limits, probes, affinity, tolerations, topology spread constraints, PodDisruptionBudgets, and rollout strategies that behave well under load.Apply validation and policy with kubeconform, kubeval, linters, Pod Security Standards, securityContext fields, Kyverno, and Gatekeeper.Build and operate Helm charts, from Chart.yaml and values.yaml through templating, testing, versioning, upgrades, and rollbacks.Use Kustomize bases, overlays, patches, transformers, and generators to keep configuration template free but flexible.Work with CustomResourceDefinitions and custom resources safely, including schemas, versioning, conversion, and common CRDs like Gateway API and Argo CD.Design Git repositories, GitOps flows with Argo CD Applications and ApplicationSets, Flux Kustomizations and HelmReleases, and multi tenant setups with namespaces, RBAC, and policy boundaries.Troubleshoot failed deployments, misconfigurations, and anti patterns using practical production checklists and refactoring examples.This is a code heavy guide with complete YAML manifests, kubectl commands, Helm values, Kustomize kustomization.yaml files, and real CRD examples so you can adapt working configuration directly into your own clusters.Grab your copy today and make your Kubernetes configuration predictable, secure, and production ready. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Run a reliable Istio service mesh in production with clear configs, tested patterns, and upgrades that do not surprise you.Operating a mesh at scale is about safe defaults, steady upgrades, and policy you can explain during an incident. This book shows how to select sidecars or ambient per nam…espace, set timeouts and retry budgets that hold under failure, and keep telemetry affordable while preserving the signals you need.You get a complete path from install to day two: high availability control planes, clean CNI setup, routes that fail fast, and rollouts that pivot on revisions and tags. Multi cluster topologies, identity, and gateway choices are covered with the same production focus.Choose sidecars or ambient for each namespace, add waypoints where L7 policy is requiredInstall with production profiles, enable CNI cleanly, and size control plane resourcesSet timeouts, retries, and retry budgets with Gateway API for HTTP and gRPCApply circuit breaking and outlier detection with locality aware failoverUse Telemetry API for lean metrics, JSON access logs at gateways, and W3C trace headersEnforce mesh wide mTLS, set trust domains, validate JWTs, and integrate external authIntegrate external CAs with cert manager or SPIRE, plan safe rotation and recoveryOperate multi cluster with east and west gateways, remote secrets, and drift checksRun ingress and egress with Gateway and HTTPRoute, TLS and mutual TLS originationPrepare runbooks for brownouts, header bloat, memory growth, and remote secret issuesMigrate with mixed ambient and sidecars, manage versions with revisions, tags, and node wavesAddress cloud specifics for AKS, GKE, and OpenShift without breaking standardsThis is a code heavy guide with working YAML, Shell, JSON, HCL, and Gateway API examples that you can copy into a repository and adapt for real clusters.Grab your copy today and ship a mesh your team can operate with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Build reliable Lua firmware for ESP8266 and ESP32 that ships, updates, and runs for months without fuss.Developers run into tight RAM, fragile Wi-Fi, and brittle updates when small devices meet real homes. This book gives you a practical workflow to choose the right ESP boards, keep heaps stab…le, and move code into flash so your nodes stay responsive.You will set up a lean toolchain, flash clean images, and structure Lua the way production devices need it, from sensor reads to secure messaging and Home Assistant integration.Pick ESP8266, ESP32 C3, S3, or C6 with clear RAM, flash, radio, and power tradeoffsInstall Python tools, drivers, esptool, and a dependable serial console on any OSBuild tight NodeMCU firmware, prune modules, and use LFS to keep code in flashUnderstand GC behavior, configure pause and step multipliers, and prevent heap spikesUse tmr, file, node, wifi, net, mqtt, tls, sjson for stable event driven codeChoose SPIFFS or LittleFS wisely, migrate safely, and avoid wear issuesStage boot flow with init.lua, safe mode, and staged startup loadersPerform Lua OTA with HTTP pull, verify images, and implement clean rollbackConfigure Wi-Fi profiles with static IP and BSSID for fast reconnect after sleepStream sockets and HTTP without big buffers, size TLS records, handle certsDesign MQTT lifecycles with keepalive, LWT, retain strategy, and backoffIntegrate with Home Assistant using MQTT Discovery topics and payload templatesWire DS18B20, BME280, SHT3x, relays, MOSFETs, and PWM dimmers with robust retries and safetyHandle analog inputs on ESP chips, avoid reference pitfalls, and validate readingsPlan deep sleep, wake sources, static IP, and BSSID cache for battery lifeBudget power, measure real current, and estimate device life with a simple scriptSecure traffic with TLS settings that fit in RAM, or apply PSK with rotation plansUse ESP32 OTA partitions and rollback flow for firmware updates that recoverProvision unique credentials per device and expose a clear recovery modeTroubleshoot heap and GC under TLS and JSON load, prevent brownouts and boot loopsCapture crashes and field logs, toggle safe mode with remote flags, and set guardrailsKnow when NodeMCU is not the right tool and what alternatives to pickApply end to end tests from device to broker to Home Assistant dashboardsIncludes field ready case studies, a production checklist, security review steps, update playbooks, and rollback drills you can run on the bench before you ship.This is a code heavy guide with working Lua snippets, esptool commands, and MQTT payloads you can paste, adapt, and deploy to real devices.Grab your copy today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Build seven production grade JavaScript applications with Bun, from API gateway to multi tenant SaaS, and ship them with confidence.Bun Projects shows how to design and deliver real services that must be fast, reliable, and secure. If you need working guidance for REST APIs, WebSockets, databa…ses, and deployment, this book gives you a clear path with code that runs.You will apply proven patterns step by step, learn the tradeoffs that matter, and finish each project with tests, observability, and a deployment story you can reuse at work.Design a high performance API gateway with rate limiting, request and response caching, circuit breakers, structured logging, and tracingStand up a Bun TypeScript stack with strict configs, dependency control, and clean project structure for teamsImplement dynamic service discovery with Consul, health checks, and latency aware load balancingAdd JWT authentication with token validation rules, scope handling, and downstream identity headersBuild a Redis backed token bucket limiter that works across processes with a safe Lua scriptWrite operational tests for the gateway, including unit, integration, and load tests with clear pass and fail signalsContainerize and deploy to Kubernetes with probes, resources, autoscaling, metrics, and dashboardsCreate a real time collaborative editor with WebSocket Pub Sub, operational transformation, presence, and reconnection flowsPersist collaborative state in PostgreSQL with history, and coordinate multiple server instances with RedisConstruct an event streaming pipeline using Redis Streams consumer groups, idempotent processing, dead letter queues, and exactly once patternsStore and query events efficiently in PostgreSQL with partitioning and indexing tuned for high throughputBuild a live analytics dashboard that aggregates events and stays responsive under loadOrchestrate microservices with service discovery, an API gateway edge, JWT based inter service auth, and distributed tracing with OpenTelemetry and JaegerAdd centralized logging, error correlation, Prometheus metrics, and Grafana SLO views that support on call workDeploy with Helm charts and autoscaling that respects latency targetsServe a real time trading dashboard with fast WebSocket streaming, order book depth, P and L tracking, and backpressure managementUse TimescaleDB for time series storage and write tests that surface performance regressionsShip a multi region GraphQL federation gateway with subgraphs, schema composition, DataLoader for N plus 1 control, and subscriptionsOptimize GraphQL performance with Redis caching, custom errors, and schema validation testsDeliver a multi tenant SaaS API with PostgreSQL Row Level Security, role based access control, API keys, and per tenant rate limitingIntegrate billing with Stripe subscriptions, invoices, payment methods, and verified webhooks with idempotencyValidate tenant isolation and auth flows with focused tests, then deploy with monitoring and logs that make production support straightforwardThis is a code heavy guide with runnable TypeScript, SQL, Lua, and YAML examples. Copy the snippets, set environment variables, and build real projects with Bun.Get practical patterns you can apply today, then grab your copy and start building. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Master Kubernetes pod placement with clear, proven practices that deliver predictable performance in real clusters.Scheduling decisions shape reliability, cost, and latency. Many teams struggle with vague rules, uneven spreading, storage surprises, or GPU contention that shows up only under lo…ad.This guide turns the scheduler into a tool you can reason about. It explains how requests, policies, and plugins interact, then gives you repeatable labs and copy-ready manifests so you can apply the lessons in production.understand kube scheduler flow, queueing, filtering, scoring, bindingshape outcomes with profiles, extension points, and plugin weightsset requests and limits that align with qos and stable eviction behaviorsize node allocatable and pod overhead for realistic densityuse node labels, node affinity, and inter pod rules without deadlocksapply taints and tolerations for pool isolation and safe admissionspread with podtopologyspread, maxskew, and default policiesdesign pdbs, priorities, and preemption paths that prevent starvationrun storage aware scheduling with waitforfirstconsumer and csi capacityschedule gpus with device plugins, nvidia operator, mig, and time slicingadopt dra with resourceclass and resourceclaims for accelerator controltune numa policies, cpu manager, memory manager, and topology manageroperate multiple schedulers, avoid risky extenders, add safe pluginsuse the descheduler with budgets and limits to fix drift safelymonitor the metrics that matter and build practical dashboardstroubleshoot incidents like ip exhaustion, pvc flapping, and skew driftrun field labs, kube burner load tests, simulator traces, gpu labs, and gatesThis is a code heavy guide with working yaml, bash, go, and json snippets that you can use to stand up labs, tune policies, and ship changes with confidence.Grab your copy today and make Kubernetes scheduling an advantage for your team. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Run real AI workloads on consumer Radeon GPUs with a clear, reproducible ROCm playbook that actually matches how developers work.Many developers want to run PyTorch, LLMs, and Stable Diffusion on RX 7000 and RX 9000 cards, but end up lost in partial guides, version mismatches, and fragile inst…alls that break after the next driver update.This book gives you a complete, stack aware view of ROCm on consumer Radeon across Linux, native Windows, and WSL, then walks you through proven workflows for LLM inference, high throughput serving, and diffusion pipelines that stay stable under real use.Understand the ROCm stack, support boundaries, and how gfx targets map to RX 7000 and RX 9000 cardsPlan CPU, RAM, storage, VRAM, and thermals so LLM and diffusion workloads fit and stay stableSet up ROCm drivers and PyTorch cleanly on Linux, native Windows, and WSL, with verification workflowsInstall and tune PyTorch on ROCm, from version pinning and wheels to precision choices and Triton kernelsRun LLMs with llama cpp and vLLM, including quantization tradeoffs, GPU offload, batching, and servingUse Hugging Face Transformers on ROCm, manage KV cache behavior, and choose safer quantization pathsBuild Stable Diffusion and ComfyUI pipelines on Radeon, then refine performance, quality, and MIGraphX accelerationGo beyond PyTorch with JAX, Triton, TensorFlow, and ONNX plus MIGraphX for portable inference workflowsProfile and debug issues methodically, from illegal memory access and hangs to mixed driver states and rollbacksThe book includes practical extras such as quick start recipes for Linux, native Windows, and WSL, version pinning templates and requirements files, compatibility checklists for RX 7000 and RX 9000 upgrades, and a troubleshooting index organized by symptom, cause, and fix path.It is a code heavy guide, with working scripts, commands, and configuration snippets that you can drop into your own environments to validate devices, benchmark kernels, launch servers, and keep model caches and containers reproducible.Grab your copy today and turn your consumer Radeon card into a reliable AI development platform. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Build real games in Rust with Bevy, from first compile to shipped release. This book treats you like a teammate on a production project. You start with a clean toolchain and a fast workspace, then move through ECS patterns, rendering, assets, UI, physics, animation, AI, networking, and release…. Every step is backed by working examples and clearly labeled code. No filler, only what helps you ship.Early on, you see how project layout, version pinning, and a tidy plugin graph keep builds quick and stable. Components and bundles are shown in context, with explanations of why data layout affects cache behavior and frame time. Queries and filters are demystified, so the systems you write stay simple and parallel. The style is hands on. You read a short paragraph, then you read code that compiles.Rendering is practical. You work with wgpu backends across Vulkan, Metal, D3D12, and WebGPU. You add a custom render graph node, tune PBR materials, and manage tone mapping and HDR. When ray traced lighting makes sense, you see a path to test it, along with honest fallbacks and baking so your project stays predictable.Production teams live on assets, so the pipeline is a first class topic. You set up AssetServer with hot reload, write custom AssetLoader code for binary and text formats, embed gameplay data in glTF extras, and ship textures through a KTX2 flow that trims memory and download time. Every section includes code you can paste and adapt.For 2D, you get sprite batching, atlas animation, tilemaps that scale, and pixel perfect cameras that handle scaling and letterboxing without blur. Tools matter during development, so there are clear examples using bevy_ui with Taffy layout, bevy_egui panels and inspectors, input mapping with Leafwing, and clean focus and text input hygiene.Physics coverage is balanced and concrete. You configure Rapier and Avian, set collision layers, CCD, and joints, build character controllers, read contact data, and wire triggers and queries into gameplay events. Animation and VFX chapters show skeletal and property animation with AnimationPlayer, state driven blending with notifies, GPU particles with Hanabi, and material effects like glass and emissive, all with concise examples.Networking is explained through patterns that ship. You build an authoritative client server with renet and replicon, add client prediction and reconciliation with Lightyear, and implement rollback with GGRS. Transports cover quinnet and Steamworks with a connection flow that testers can follow. Web and WASM builds get equal care, including COOP and COEP headers, feature probing, and asset delivery that works inside the browser.Performance and release tie it all together. You profile with Tracy and Chrome trace, track meaningful percentiles, and fix what moves the needle. Then you package with cargo dist, sign and notarize where required, verify Steam integration, and run a CI matrix that produces clean artifacts for desktop and web.When deadlines are close, you need a guide that shows exactly what to build and why it worksExample first: every concept is paired with working code and short explanations.Production focus: choices are justified by stability, performance, and team workflow.End to end coverage: setup, ECS, rendering, assets, UI, physics, animation, AI, networking, performance, and release.Actionable details: version pins, feature flags, device limits, headers for web, CI scripts, and packaging steps.If you want a guide that helps you build, measure, and ship, this book gives you the pieces that matter and the code that proves it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
