Gitforgits Aug 2026 (14 results)

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - These days, every company runs on software of which they can't see the full picture. There are orders that fail quietly at two in the morning, a checkout that takes forever to service one customer, and a nightly job that stops running for a week before anyone even notices. So, we've got these standard monitoring reports that say the servers are all good, even though the business is losing money behind the scenes.With Sentry, you can debug in production and close that gap. This book takes a live system from silence to something that explains itself by working through a single storefront application built with Python and JavaScript. You install error monitoring, join three runtimes into one distributed trace, record the customer's own session, bring structured logs alongside those traces, and profile the exact function spending the time. Then the book moves on to how to run it well. You set alerts that people act on, not mute. And you can build a dashboard that the team will actually open.You can catch jobs that fail by never starting, and hand difficult issues to Sentry's Seer agent while keeping your own judgement firmly in charge.Key LearningsInstrument a full-stack application so every failure names its file, line and owner.Join browser, API and worker into one trace across the network boundary.Read a span waterfall and locate the slow span within two minutes.Detect and remove N+1 query patterns using trace evidence rather than guesswork.Record and mask customer sessions, proving privacy from the stored payload itself.Correlate structured logs with traces so caught errors stop disappearing entirely.Profile production safely and name the exact function consuming the time.Detect silent failures using uptime checks and scheduled job check-ins.Derive alert thresholds from real history instead of instinct or round numbers.Review an AI root cause analysis critically before accepting any proposed fix.Table of ContentInstalling Sentry cross StackMaking Errors ReadableSetting up Distributed TracingFinding Slow Code in TracesReplaying User SessionsCorrelating Logs with ErrorsProfiling Slow FunctionsUsing Insights DashboardsMonitoring Uptime, Crons and MetricsBuilding Alerts and DashboardsDebugging with SeerKeeping Sentry HealthyTarget ReadersWhether you're an engineer, SRE or tech lead, you'll find everything you need to scale your company. All the tasks are routine, you can reproduce them and verify the results. Basics of application monitoring and knowing the lifecycle of application development is all you need to get through this book.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 208 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 210 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The way we develop AI has completely changed. I mean, who builds models from scratch these days Nobody.Today's developers are creating apps based on existing models, and this second edition teaches you how to do that in Python. We start with one API call and end up with a full production service that's all set to go. As you go through the chapters, you build one application that grows with you, so you never throw anything out. With retrieval, you can supply real documents, get reliable, structured output with Pydantic schemas, allow DSPy to optimise your prompts against a measured metric, and give your assistant eyes, ears and hands through vision, speech and tool calling.The book is deliberately practical. There's no backpropagation or transformer that's been hand-built. Instead, there are working files, realistic cost estimates, actual failure modes, and the judgment to know when fine-tuning is worth it and when it's not. The rest of the book looks at stuff like the Model Context Protocol, evaluation sets that spot regressions before customers do, safety and privacy checks, and observability with FastAPI and OpenTelemetry.Key LearningsCall hosted models reliably with retries, streaming, and controlled temperature settings.Enforce structured output using Pydantic schemas with automatic validation and correction.Build retrieval pipelines that ground every reply in your own documents.Prepare messy PDFs and web content into passages worth embedding.Optimise prompts programmatically with DSPy instead of hand-tuning them forever.Judge honestly when fine-tuning repays its cost and when it never will.Extract structured orders from photographs and transcribe spoken requests accurately.Give models tools safely, with step limits and confirmation gates.Expose capabilities through Model Context Protocol server's reusable across applications.Measure quality with eval sets, then trace cost and latency in production.Table of ContentsWorking with ModelsPrompts that WorksReliable Outputs and ConversationsProgramming Prompts with DSPyEmbeddings and Semantic SearchRetrieval-Augmented GenerationGetting Data ReadyModel Needs CustomizationWorking with Images and SoundTools, Agents and MCPExamining AI with Evals and Safety TestsShipping with FastAPI and OpenTelemetry 202 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These days, every company runs on software of which they can't see the full picture. There are orders that fail quietly at two in the morning, a checkout that takes forever to service one customer, and a nightly job that stops running for a week before anyone even notices. So, we've got these standard monitoring reports that say the servers are all good, even though the business is losing money behind the scenes.With Sentry, you can debug in production and close that gap. This book takes a live system from silence to something that explains itself by working through a single storefront application built with Python and JavaScript. You install error monitoring, join three runtimes into one distributed trace, record the customer's own session, bring structured logs alongside those traces, and profile the exact function spending the time. Then the book moves on to how to run it well. You set alerts that people act on, not mute. And you can build a dashboard that the team will actually open.You can catch jobs that fail by never starting, and hand difficult issues to Sentry's Seer agent while keeping your own judgement firmly in charge.Key LearningsInstrument a full-stack application so every failure names its file, line and owner.Join browser, API and worker into one trace across the network boundary.Read a span waterfall and locate the slow span within two minutes.Detect and remove N+1 query patterns using trace evidence rather than guesswork.Record and mask customer sessions, proving privacy from the stored payload itself.Correlate structured logs with traces so caught errors stop disappearing entirely.Profile production safely and name the exact function consuming the time.Detect silent failures using uptime checks and scheduled job check-ins.Derive alert thresholds from real history instead of instinct or round numbers.Review an AI root cause analysis critically before accepting any proposed fix.Table of ContentInstalling Sentry cross StackMaking Errors ReadableSetting up Distributed TracingFinding Slow Code in TracesReplaying User SessionsCorrelating Logs with ErrorsProfiling Slow FunctionsUsing Insights DashboardsMonitoring Uptime, Crons and MetricsBuilding Alerts and DashboardsDebugging with SeerKeeping Sentry HealthyTarget ReadersWhether you're an engineer, SRE or tech lead, you'll find everything you need to scale your company. All the tasks are routine, you can reproduce them and verify the results. Basics of application monitoring and knowing the lifecycle of application development is all you need to get through this book. 214 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 208 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With Go 1.25, you get a runtime that reads the CPU quota of its own container, a standard library that closes long-standing gaps in filesystem safety and JSON handling, and a testing package that makes concurrent behaviour deterministic. And this second edition puts all of it to excellent use.This book is all about building one system, rather than a bunch of snippets in a folder. This means you can size a connection pool based on its own statistics, run 40,000 jobs on a fixed number of goroutines, retry serialisation conflicts without corrupting a ledger, and hold tens of thousands of open connections without exhausting file descriptors. Each recipe tackles a real problem, and then there's the simplest code to solve it, along with the reasoning behind when to use it again. Whether you're a developer who's already got some experience with Go and now needs it to get by in production, we've got you covered.Key LearningsSize worker pools and concurrency limits from measured CPU and memory budgetsConfine untrusted file paths so traversal attacks fail in the kernelTest 30 secs timeouts in milliseconds using testing/synctest and its virtual clockPropagate one timeout budget across every service hop without starving downstream callersRetry serialisation conflicts and deadlocks safely with bounded, jittered transaction backoffFind goroutine leaks from a profile and prove their absence in testsRead escape analysis and pprof profiles to remove the allocations that matterDrain response bodies so HTTP connections return to the pool and stay reusedShip schema changes across rolling updates using expand, switch, and contract releasesHarden services with govulncheck, minimal images, and secrets that never touch diskTable of ContentUp and Running with Go 1.25Go Advanced and ConcurrencyFile Handling and Data ProcessingBuilding and Managing Go APIsRPC and gRPC ServicesAutomation and Concurrency at ScaleMicroservices ArchitectureStrengthening Database InteractionsPerformance, Profiling and Resource ManagementNetworking, Protocols and SecurityTarget ReadersThis book is for every Go programmer who wants to bring error-free performance, immediate troubleshooting to issues, better reliability and active security. All you need is basics of Go and nothing beyond to pursue this book. 212 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 204 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -These days, networks aren't just racks of switches anymore, they're also AI clusters. A single training job depends on a lossless fabric, a Kubernetes control plane, a cloud VPC, an inference gateway, and a telemetry pipeline that has to notice trouble before anybody files a ticket. Even with something as strong as Python glue, it's not going to hold up at that size. But C++23 doesn't. When you get to the end of this book, you'll have a fully-fledged automation tool at your disposal.The book kicks off with std::expected, std::span, ranges, and coroutines applied to real device work, then builds a CMake and vcpkg project with sanitizers, tests, and a containerlab fabric. Then you can drive NETCONF, YANG, and gNMI, provision servers over SSH and Ansible, program OVSDB and VXLAN overlays, automate Suricata and Vectorscan detection, and reach AWS and Azure through one interface. The last couple of chapters show you how to use Kubernetes resources on the server side, attach pods to RDMA devices through Multus and SR-IOV, and validate PFC and ECN across a RoCEv2 fabric. Plus, there'll be token streaming for vLLM replicas, your tooling will be exposed as an MCP server, and the loop will be closed with OpenTelemetry and guarded remediation. Everything's on one Linux laptop.Key LearningsPlan every change so it can be undone, and see it before it runs.Hand back errors as values with std::expected, so nothing fails quietly overnight.Read packets without copying them, using std::span, and let sanitizers catch your mistakes.Check five hundred devices at once with coroutines, and never write a callback.Check a change against the device model before you send it anywhere.Roll out to a few devices first, and widen only when they behave.Let your C++ drive Ansible, Suricata, and ovs-ofctl instead of rebuilding them.Apply Kubernetes changes safely, then check from inside the pod that they worked.Send AI requests to the least busy replica, and tune the connection for tokens.Spot trouble with limits, moving averages, and a model that advises but never acts.Table of ContentC++23 for Network AutomationSetting up Automation EnvironmentWriting, Testing, and Validating Automation ScriptsDevice Configuration with NETCONF, YANG and gNMIServer Provisioning and Configuration ManagementSoftware-Defined NetworkingPractical IDS/IPS AutomationCloud Network AutomationKubernetes as AI Cluster Control PlaneRDMA and GPU Fabric AutomationTarget ReadersIf you're a network engineer, systems programmer, or part of an infrastructure team, then this book is for you. You don't need to have any prior experience with SDN, Kubernetes, or machine learning for this book. Just some basics of coding around C++ and fundamentals of networking is sufficient. 210 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -These days, every company runs on software of which they can't see the full picture. There are orders that fail quietly at two in the morning, a checkout that takes forever to service one customer, and a nightly job that stops running for a week before anyone even notices. So, we've got these standard monitoring reports that say the servers are all good, even though the business is losing money behind the scenes.With Sentry, you can debug in production and close that gap. This book takes a live system from silence to something that explains itself by working through a single storefront application built with Python and JavaScript. You install error monitoring, join three runtimes into one distributed trace, record the customer's own session, bring structured logs alongside those traces, and profile the exact function spending the time. Then the book moves on to how to run it well. You set alerts that people act on, not mute. And you can build a dashboard that the team will actually open.You can catch jobs that fail by never starting, and hand difficult issues to Sentry's Seer agent while keeping your own judgement firmly in charge.Key LearningsInstrument a full-stack application so every failure names its file, line and owner.Join browser, API and worker into one trace across the network boundary.Read a span waterfall and locate the slow span within two minutes.Detect and remove N+1 query patterns using trace evidence rather than guesswork.Record and mask customer sessions, proving privacy from the stored payload itself.Correlate structured logs with traces so caught errors stop disappearing entirely.Profile production safely and name the exact function consuming the time.Detect silent failures using uptime checks and scheduled job check-ins.Derive alert thresholds from real history instead of instinct or round numbers.Review an AI root cause analysis critically before accepting any proposed fix.Table of ContentInstalling Sentry cross StackMaking Errors ReadableSetting up Distributed TracingFinding Slow Code in TracesReplaying User SessionsCorrelating Logs with ErrorsProfiling Slow FunctionsUsing Insights DashboardsMonitoring Uptime, Crons and MetricsBuilding Alerts and DashboardsDebugging with SeerKeeping Sentry HealthyTarget ReadersWhether you're an engineer, SRE or tech lead, you'll find everything you need to scale your company. All the tasks are routine, you can reproduce them and verify the results. Basics of application monitoring and knowing the lifecycle of application development is all you need to get through this book. 214 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware 208 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With Go 1.25, you get a runtime that reads the CPU quota of its own container, a standard library that closes long-standing gaps in filesystem safety and JSON handling, and a testing package that makes concurrent behaviour deterministic. And this second edition puts all of it to excellent use.This book is all about building one system, rather than a bunch of snippets in a folder. This means you can size a connection pool based on its own statistics, run 40,000 jobs on a fixed number of goroutines, retry serialisation conflicts without corrupting a ledger, and hold tens of thousands of open connections without exhausting file descriptors. Each recipe tackles a real problem, and then there's the simplest code to solve it, along with the reasoning behind when to use it again. Whether you're a developer who's already got some experience with Go and now needs it to get by in production, we've got you covered.Key LearningsSize worker pools and concurrency limits from measured CPU and memory budgetsConfine untrusted file paths so traversal attacks fail in the kernelTest 30 secs timeouts in milliseconds using testing/synctest and its virtual clockPropagate one timeout budget across every service hop without starving downstream callersRetry serialisation conflicts and deadlocks safely with bounded, jittered transaction backoffFind goroutine leaks from a profile and prove their absence in testsRead escape analysis and pprof profiles to remove the allocations that matterDrain response bodies so HTTP connections return to the pool and stay reusedShip schema changes across rolling updates using expand, switch, and contract releasesHarden services with govulncheck, minimal images, and secrets that never touch diskTable of ContentUp and Running with Go 1.25Go Advanced and ConcurrencyFile Handling and Data ProcessingBuilding and Managing Go APIsRPC and gRPC ServicesAutomation and Concurrency at ScaleMicroservices ArchitectureStrengthening Database InteractionsPerformance, Profiling and Resource ManagementNetworking, Protocols and SecurityTarget ReadersThis book is for every Go programmer who wants to bring error-free performance, immediate troubleshooting to issues, better reliability and active security. All you need is basics of Go and nothing beyond to pursue this book. 212 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware 204 pp. Englisch.