Showing results for "trex team"
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Temporal Workflows
Durable Orchestration for Microservices and Agents
2026
EN
Accessible
"Temporal Workflows: Durable Orchestration for Microservices and Agents"Modern systems don’t fail because you can’t run code—they fail because coordinating code across time, retries, deploys, and partial outages is harder than any single service. This book targets experienced engineers and architects who build microservice platforms, backend workflows, and agentic applications and want a rigorous, practical model for turning ordinary code into durable, crash-resilient orchestration...
OpenLineage
Standardized Data Lineage for Modern Pipelines
2026
EN
Accessible
"OpenLineage: Standardized Data Lineage for Modern Pipelines"Data lineage is only useful when it stays correct under retries, partial failures, and heterogeneous tooling—and that’s where most implementations quietly break. This book is written for experienced data engineers, platform engineers, and architects who need lineage they can trust in production, not just a diagram for a slide. It focuses on the practical contracts and design choices that determine whether lineage becomes ...
Modern OAuth Security
OAuth 2.1, PAR, RAR, and DPoP for API Engineers
2026
EN
Accessible
"Modern OAuth Security: OAuth 2.1, PAR, RAR, and DPoP for API Engineers"If you build or secure APIs at scale, OAuth is no longer a checkbox protocol—it’s a system of trust boundaries, browser realities, and failure modes that attackers actively exploit. This book is written for experienced API engineers, platform teams, and security-minded architects who need to reason precisely about OAuth in production: what to trust, what to bind, what to log, and what to reject. It focuses on m...
Mastering the Model Context Protocol (MCP)
Standardizing Tool Access, Context, and Permissions for AI Agents
2026
EN
Accessible
"Mastering the Model Context Protocol (MCP): Standardizing Tool Access, Context, and Permissions for AI Agents"As AI agents move from demos to production systems, the hardest problems are no longer just model quality—they are interoperability, permissions, context handling, and safe access to external tools. This book is written for experienced engineers, architects, platform teams, and advanced AI practitioners who need a rigorous understanding of the Model Context Protocol (MCP) ...
Cube.dev Semantic Layer
Metrics, Caching, and Access Control for Analytics APIs
2026
EN
Accessible
"Cube.dev Semantic Layer: Metrics, Caching, and Access Control for Analytics APIs"This book is a deep technical guide to building a governed, high-performance semantic layer with Cube.dev for teams who already ship production analytics. If you maintain a metrics platform, power embedded analytics, or expose analytics APIs to multiple consumers, you’ve likely felt the pain of inconsistent definitions, runaway warehouse spend, and security rules scattered across tools. Here you’ll de...
Argo CD GitOps
Operating Kubernetes Deployments with Drift Control
2026
EN
Accessible
"Argo CD GitOps: Operating Kubernetes Deployments with Drift Control"This book is for platform engineers, SREs, and senior Kubernetes practitioners who already deploy at scale—and now need deployments to behave like a reliable control system. Rather than treating GitOps as “kubectl, but from Git,” it frames Argo CD as an always-on reconciler that must be engineered, secured, and operated with the same rigor as any production control plane. If you’re tired of phantom drift, brittle ...
Kueue for Batch and AI Jobs
Queueing, Fairness, and Resource Sharing in Kubernetes
2026
EN
Accessible
"Kueue for Batch and AI Jobs: Queueing, Fairness, and Resource Sharing in Kubernetes"Batch pipelines and AI training don’t fail in Kubernetes because “the scheduler is broken”—they fail because multi-tenant clusters need explicit queueing, clear admission policy, and predictable sharing rules. This book is written for experienced Kubernetes platform engineers, ML infrastructure builders, and SREs who must turn scarce CPU/GPU fleets into reliable, fair, high-throughput systems witho...
OWASP for LLM Apps
A Practical Security Checklist for GenAI Product Teams
2026
EN
Accessible
"OWASP for LLM Apps: A Practical Security Checklist for GenAI Product Teams"Generative AI has expanded the application attack surface faster than most teams have updated their security practices. This book is written for experienced engineers, security architects, platform teams, and technical product leaders who are building or governing LLM-powered systems in production. Rather than treating GenAI security as a novelty, it shows how to integrate OWASP guidance into the real archi...
OpenTelemetry for GenAI
Tracing Token Costs, Tool Calls, and RAG Latency
2026
EN
Accessible
"OpenTelemetry for GenAI: Tracing Token Costs, Tool Calls, and RAG Latency"Modern GenAI systems fail in expensive, opaque, and highly distributed ways: token spend drifts upward, tool chains hide the true source of latency, and retrieval pipelines quietly erode output quality. This book is written for experienced engineers, platform teams, observability specialists, and AI infrastructure architects who need production-grade visibility into these systems. It shows how to apply OpenT...
SCIM 2.0 in Practice
Automated User Provisioning and Identity Lifecycle for SaaS
2026
EN
Accessible
"SCIM 2.0 in Practice: Automated User Provisioning and Identity Lifecycle for SaaS"SCIM isn’t hard because the spec is long—it’s hard because interoperability is a contract between your SaaS and unpredictable enterprise identity providers. This book is written for experienced backend engineers, platform teams, and identity-minded SaaS architects who need SCIM to work reliably at scale, across tenants, and under real production failure modes. It focuses on the engineering details th...
Secure RAG Authorization
Row‑Level Security, ACLs, and Per‑User Retrieval
2026
EN
Accessible
"Secure RAG Authorization: Row‑Level Security, ACLs, and Per‑User Retrieval"Modern RAG systems don’t fail because models are “unsafe”—they fail because retrieval quietly breaks authorization. This book is for experienced engineers, security architects, and platform teams building multi-tenant, tool-using AI systems where every retrieved chunk must be correct for the requesting principal. It treats “secure per-user retrieval” as an end-to-end invariant across ingestion, indexing, se...
Iceberg REST Catalogs
Managing Table Metadata Across Engines and Clouds
2026
EN
Accessible
"Iceberg REST Catalogs: Managing Table Metadata Across Engines and Clouds"Iceberg has made analytics tables portable, but in real platforms the hardest problems live above the files: coordinating metadata safely across many writers, many query engines, and many clouds. This book targets experienced data engineers, platform architects, and lakehouse operators who need a catalog layer that behaves like a reliable control plane—not a fragile integration point—while keeping interoperab...











