Mallin Bernard (18 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - Stop Ticket-Driven Infrastructure. Build a Platform Your Developers Actually Want to Use.Modern engineering organizations are facing a cognitive load crisis. Developers are drowning in a sea of fragmented tools, complex Kubernetes configurations, and endless infrastructure tickets. The promise of 'you build it, you run it' DevOps has turned into a massive bottleneck, slowing down feature delivery and burning out talented engineers.Platform Engineering: Building Internal Developer Platforms is your definitive blueprint for treating infrastructure as a product. This book moves beyond theory to deliver a concrete, step-by-step guide to building 'Golden Paths' self-service infrastructure that abstracts away complexity without sacrificing team autonomy or security.What You Will Build & Master Inside: The Self-Service Mandate: Design reusable infrastructure-as-code (Terraform/Pulumi) modules to eliminate ticket-driven environment provisioning.Developer Portal Architecture: Build a centralized, discoverable service catalog using Backstage, turning documentation sprawl into a streamlined UX.CI/CD & Progressive Delivery: Standardize automated pipelines, rollback mechanisms, and failure recovery as first-class platform capabilities.Baked-In Observability & Security: Scaffold new services with default logging, metrics, tracing, and role-based access control (RBAC) built right into the templates.Measuring What Matters: Instrument your platform to track DORA and SPACE metrics, turning usage analytics into actionable adoption roadmaps.Platform as a Product: Master the internal marketing, migration strategies, and UX principles required to handle resistant teams and drive organic adoption.Who This Book Is For: DevOps & SRE Teams: Ready to transition from reactive infrastructure support to proactive platform product engineering.Platform Architects & Tech Leads: Tasked with designing multi-cluster, self-service developer portals at enterprise scale.Engineering Directors & CTOs: Looking to reduce developer cognitive load, shorten time-to-market, and measure real engineering productivity.Turn your infrastructure bottleneck into an automated, self-service engine. Scroll up and click 'Buy Now' to start building your Internal Developer Platform today.…

Taschenbuch. Condition: Neu. Neuware - Alert fatigue, brittle runbooks, and 3 AM escalations are pushing network engineering teams to their breaking point.As distributed infrastructure scales, static scripts and rigid monitoring rules can no longer keep up with complex failure modes. Moving beyond simple alerting requires autonomous systems that can ingest telemetry, reason through multi-hop anomalies, and execute safe remediations in real time.Self-Healing Network Operations is an advanced, practical guide engineered specifically for senior network engineers, SREs, and DevOps architects. It bypasses theoretical hype to deliver production-ready architectures for building, deploying, and governing autonomous AI agent workflows across modern networks.Through realistic lab environments using Containerlab, GNS3, and live telemetry pipelines, you will learn how to build agentic feedback loops, implement strict execution guardrails, and leverage the Model Context Protocol (MCP) to safely interface LLMs with routing hardware and cloud fabrics.Inside the Book, You Will Build and Deploy: Live Telemetry & Monitoring Agents: Ingest SNMP, syslog, and NetFlow streams into LLM-driven agents to detect silent degradations and summarize network health.Root-Cause Reasoning Loops: Build diagnostic agents that safely execute CLI/API diagnostic commands to isolate multi-hop routing failures and resolve ambiguous symptoms.Standardized MCP Tooling: Package network diagnostics as robust Model Context Protocol (MCP) servers with versioning and security boundaries.Closed-Loop Automated Remediation: Design confidence-scored execution pipelines featuring dry-run gates, automated rollbacks, config-drift auto-healing, and blast-radius circuit breakers.Multi-Agent NetOps Systems: Implement hierarchical supervisor-worker agent topologies to coordinate parallel monitoring, diagnosis, and remediation tasks.Agent Security & Compliance: Harden autonomous workflows against prompt injection via device logs, manage least-privilege credentials, and log all autonomous actions for enterprise audit readiness.Eliminate manual incident triage and bridge the gap between deterministic network protocols and autonomous AI. Whether you manage enterprise enterprise backbones, multi-cloud transit networks, or data center fabrics, this book provides the blueprint for building dependable, self-healing network operations.Scroll up and click 'Buy Now' to engineer autonomous self-healing networks today.…

Taschenbuch. Condition: Neu. Neuware - Encryption at rest and in transit is no longer enough. The final frontier of cloud security is protecting data while it is in use.If you deploy workloads to the public cloud, you are implicitly trusting the host infrastructure. But for highly regulated sectors, financial services, and privacy-first machine learning, perimeter security and disk encryption leave a critical vulnerability: data exposed in plaintext within CPU memory.Confidential Computing in Practice is the definitive, authoritative guide for platform architects, security engineers, and DevOps professionals who need to build hardware-enforced trust boundaries in zero-trust environments. Moving far beyond high-level theory, this book provides the deep technical mechanics of Trusted Execution Environments (TEEs) and equips you with the practical methodologies required to isolate your workloads from malicious cloud operators, compromised hypervisors, and insider threats.Inside, you will learn how to: Architect Hardware Roots of Trust: Master the fundamental architecture of Intel SGX enclaves, AMD SEV-SNP memory encryption, and Intel TDX confidential virtual machines.Implement Remote Attestation Pipelines: Build robust attestation services (DCAP, Azure Attestation) to cryptographically verify platform integrity before releasing decryption keys.Manage Keys and Enclave Identity: Securely seal secrets to enclave measurements, integrate with external Hardware Security Modules (HSMs), and enforce policy-based key release mechanisms.Deploy to the Cloud-Native Edge: Orchestrate Confidential Containers (Kata, Gramine, Enarx) in Kubernetes and run isolated workloads seamlessly on Azure, GCP, and AWS.Secure AI & Machine Learning: Protect proprietary model weights and sensitive training data during active inference, while navigating the performance tradeoffs of GPU-accelerated compute.Mitigate Advanced Side-Channel Attacks: Hardening your enclave code against cache-timing, speculative execution, and page-fault vulnerabilities.Stop relying solely on cloud provider promises. Whether you are building a multi-party secure data-sharing system or migrating sensitive workloads to confidential VMs, this book gives you the exact blueprint to take back cryptographic control of your data's execution state.Close the final gap in your security posture. Secure your copy today and build verifiable, hardware-backed trust into your cloud architecture. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Stop Ticket-Driven Infrastructure. Build a Platform Your Developers Actually Want to Use.Modern engineering organizations are facing a cognitive load crisis. Developers are drowning in a sea of fragmented tools, complex Kubernetes configurations, and endless infrastructure tickets. The promise of "you build it, you run it" DevOps has turned into a massive bottleneck, slowing down feature delivery and burning out talented engineers.Platform Engineering: Building Internal Developer Platforms is your definitive blueprint for treating infrastructure as a product. This book moves beyond theory to deliver a concrete, step-by-step guide to building "Golden Paths" self-service infrastructure that abstracts away complexity without sacrificing team autonomy or security.What You Will Build & Master Inside: The Self-Service Mandate: Design reusable infrastructure-as-code (Terraform/Pulumi) modules to eliminate ticket-driven environment provisioning.Developer Portal Architecture: Build a centralized, discoverable service catalog using Backstage, turning documentation sprawl into a streamlined UX.CI/CD & Progressive Delivery: Standardize automated pipelines, rollback mechanisms, and failure recovery as first-class platform capabilities.Baked-In Observability & Security: Scaffold new services with default logging, metrics, tracing, and role-based access control (RBAC) built right into the templates.Measuring What Matters: Instrument your platform to track DORA and SPACE metrics, turning usage analytics into actionable adoption roadmaps.Platform as a Product: Master the internal marketing, migration strategies, and UX principles required to handle resistant teams and drive organic adoption.Who This Book Is For: DevOps & SRE Teams: Ready to transition from reactive infrastructure support to proactive platform product engineering.Platform Architects & Tech Leads: Tasked with designing multi-cluster, self-service developer portals at enterprise scale.Engineering Directors & CTOs: Looking to reduce developer cognitive load, shorten time-to-market, and measure real engineering productivity.Turn your infrastructure bottleneck into an automated, self-service engine. Scroll up and click "Buy Now" to start building your Internal Developer Platform today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Alert fatigue, brittle runbooks, and 3 AM escalations are pushing network engineering teams to their breaking point.As distributed infrastructure scales, static scripts and rigid monitoring rules can no longer keep up with complex failure modes. Moving beyond simple alerting requires autonomous systems that can ingest telemetry, reason through multi-hop anomalies, and execute safe remediations in real time.Self-Healing Network Operations is an advanced, practical guide engineered specifically for senior network engineers, SREs, and DevOps architects. It bypasses theoretical hype to deliver production-ready architectures for building, deploying, and governing autonomous AI agent workflows across modern networks.Through realistic lab environments using Containerlab, GNS3, and live telemetry pipelines, you will learn how to build agentic feedback loops, implement strict execution guardrails, and leverage the Model Context Protocol (MCP) to safely interface LLMs with routing hardware and cloud fabrics.Inside the Book, You Will Build and Deploy: Live Telemetry & Monitoring Agents: Ingest SNMP, syslog, and NetFlow streams into LLM-driven agents to detect silent degradations and summarize network health.Root-Cause Reasoning Loops: Build diagnostic agents that safely execute CLI/API diagnostic commands to isolate multi-hop routing failures and resolve ambiguous symptoms.Standardized MCP Tooling: Package network diagnostics as robust Model Context Protocol (MCP) servers with versioning and security boundaries.Closed-Loop Automated Remediation: Design confidence-scored execution pipelines featuring dry-run gates, automated rollbacks, config-drift auto-healing, and blast-radius circuit breakers.Multi-Agent NetOps Systems: Implement hierarchical supervisor-worker agent topologies to coordinate parallel monitoring, diagnosis, and remediation tasks.Agent Security & Compliance: Harden autonomous workflows against prompt injection via device logs, manage least-privilege credentials, and log all autonomous actions for enterprise audit readiness.Eliminate manual incident triage and bridge the gap between deterministic network protocols and autonomous AI. Whether you manage enterprise enterprise backbones, multi-cloud transit networks, or data center fabrics, this book provides the blueprint for building dependable, self-healing network operations.Scroll up and click "Buy Now" to engineer autonomous self-healing networks today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. When the pager goes off at 3 AM, you don't need theory. You need commands.A production server is down. Load is spiking, the disk is entirely full, or the system is stuck in an endless crash loop. Every minute of downtime degrades customer trust and costs the business money. At this moment, you don't have time to read man pages or scroll through outdated forums, you need a decisive, structured approach to stabilize the host immediately.3AM Linux: The Sysadmin's Emergency Field Guide to Rescuing a Production Server is the ultimate tactical runbook for System Administrators, Site Reliability Engineers (SREs), and DevOps professionals who operate high-stakes Linux environments. Built for the heat of an active incident, this guide skips the basic tutorials and jumps straight into deep-system triage, diagnosing the most obscure and destructive failures before they take down your entire fleet.Inside, you will learn how to: Execute High-Pressure Triage: Gain a clean shell when the box is barely responding and determine instantly whether to fail over or fix in place.Resolve Storage Emergencies: Safely clear temp files, handle runaway log growth without restarting services, and perform emergency LVM expansions under load.Tame Zombies and OOM Kills: Identify resource-hogging processes, understand exactly why the OOM Killer chose its target, and safely terminate threads without blinding the system.Break systemd Crash Loops: Read journalctl rapidly, untangle dependency failures, and recover units stuck in failed states without masking the root cause.Fix Filesystem & Network Corruption: Perform emergency fsck operations on live volumes, resolve hidden firewall drops, and recover exhausted file descriptors.Survive Kernel Panics & Botched Updates: Roll back broken apt/yum transactions mid-deploy, analyze panic traces, and perform emergency kernel downgrades on a live fleet.Don't let a failing machine turn into a full-scale outage. Whether you are dealing with a hung network stack, a corrupted database state, or a server that simply refuses to boot, this book equips you with the exact methodology to get your infrastructure back online.Arm yourself with the ultimate incident response playbook. Secure your copy today and never fear the 3 AM page again. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. The rush to deploy Generative AI is leaving enterprise applications dangerously exposed. Are your LLMs secure?Traditional AppSec models, WAFs, and standard penetration testing fail when it comes to Large Language Models. In a landscape where natural language is the new attack vector, firewalls cannot stop a cleverly crafted prompt.LLM Security Engineering is the definitive, hands-on guide for security professionals, AI developers, and DevSecOps teams tasked with deploying secure Generative AI in production. Written by an expert AI security engineer, this book bridges the gap between offensive Red Team tactics and defensive engineering, showing you exactly how attackers manipulate LLMs and how to stop them.Instead of theoretical risks, you will dive into practical, repeatable exploit frameworks and robust mitigation strategies. You will learn how to build automated attack surface inventories, harden Retrieval-Augmented Generation (RAG) pipelines, and architect multi-layered output filters that actually work.Inside, you will master: Advanced Prompt Injection: Execute and defend against direct overrides, delimiter breaking, and complex multi-turn conversation poisoning.Indirect Attack Vectors: Secure your system against malicious payloads hidden in retrieved documents (RAG), web content, and tool outputs.Guardrail Bypass & Jailbreaking: Understand token smuggling, persona hijacking, and how to patch vulnerabilities without breaking legitimate user experience.Data Leakage Prevention: Stop training data extraction, system prompt leakage, and PII regurgitation cold.Agent & Tool Security: Sandbox function-calling, scope permissions, and prevent devastating privilege escalation in autonomous AI agents.OWASP GenAI Top 10 Compliance: Map your defenses to industry standards with audit-ready checklists, continuous CI/CD security testing, and automated fuzzing.Whether you are auditing a complex AI agent architecture or building the security review gate for a new enterprise chatbot, this book provides the exact rubrics, test harnesses, and containment procedures you need.Don't wait for a costly data breach or a PR disaster to test your AI's defenses.Scroll up and click "Buy Now" to secure your LLM applications before attackers do. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Encryption at rest and in transit is no longer enough. The final frontier of cloud security is protecting data while it is in use.If you deploy workloads to the public cloud, you are implicitly trusting the host infrastructure. But for highly regulated sectors, financial services, and privacy-first machine learning, perimeter security and disk encryption leave a critical vulnerability: data exposed in plaintext within CPU memory.Confidential Computing in Practice is the definitive, authoritative guide for platform architects, security engineers, and DevOps professionals who need to build hardware-enforced trust boundaries in zero-trust environments. Moving far beyond high-level theory, this book provides the deep technical mechanics of Trusted Execution Environments (TEEs) and equips you with the practical methodologies required to isolate your workloads from malicious cloud operators, compromised hypervisors, and insider threats.Inside, you will learn how to: Architect Hardware Roots of Trust: Master the fundamental architecture of Intel SGX enclaves, AMD SEV-SNP memory encryption, and Intel TDX confidential virtual machines.Implement Remote Attestation Pipelines: Build robust attestation services (DCAP, Azure Attestation) to cryptographically verify platform integrity before releasing decryption keys.Manage Keys and Enclave Identity: Securely seal secrets to enclave measurements, integrate with external Hardware Security Modules (HSMs), and enforce policy-based key release mechanisms.Deploy to the Cloud-Native Edge: Orchestrate Confidential Containers (Kata, Gramine, Enarx) in Kubernetes and run isolated workloads seamlessly on Azure, GCP, and AWS.Secure AI & Machine Learning: Protect proprietary model weights and sensitive training data during active inference, while navigating the performance tradeoffs of GPU-accelerated compute.Mitigate Advanced Side-Channel Attacks: Hardening your enclave code against cache-timing, speculative execution, and page-fault vulnerabilities.Stop relying solely on cloud provider promises. Whether you are building a multi-party secure data-sharing system or migrating sensitive workloads to confidential VMs, this book gives you the exact blueprint to take back cryptographic control of your data's execution state.Close the final gap in your security posture. Secure your copy today and build verifiable, hardware-backed trust into your cloud architecture. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …