Plkdt Labs

A deep-dive architecture guide to payer-to-payer API gateways, identity resolution, audit trails, and partner interoperability.

Build transparent CI/CD automation with audit trails, policy controls, and human oversight for safer DevOps compliance.

A practical guide to separating human identity, workload identity, and policy for secure multi-protocol API automation.

A practical multi-cloud security playbook covering identity, segmentation, policy-as-code, governance, and shared responsibility gaps.

A practical framework for choosing private vs public cloud for regulated workloads across security, compliance, latency, and cost.

A vendor-neutral framework for choosing private, public, or hybrid cloud for AI workloads based on power, latency, sovereignty, and scale.

A buying and architecture guide to choosing private, bespoke, or smaller AI models over generic cloud AI for security, accuracy, and cost.

A pragmatic blueprint for cloud SCM architecture, ERP integration, AI forecasting, security, and cost control under real-world load.

A practical guide to agentic AI in DevOps: where agents help with triage, dashboards, and compliance, and where humans must stay in control.

A practical DevOps playbook for regulated teams to speed releases with automated evidence, clear approvals, and stronger audit trails.

A DevOps migration playbook for moving from air cooling to liquid cooling with checklists, risk controls, and colo strategy guidance.

A vendor-neutral guide to choosing the right analytics stack without overbuilding: warehouse, open source, or managed BI.

Learn how to design cloud systems that autoscale, rightsize, alert, and stay within budget as your team grows fast.

Build SLOs like a telecom network: latency, jitter, error budgets, and peak-hour planning for reliable developer platforms.

Telecom churn analytics mapped to developer onboarding: measure activation, identify friction, and improve retention with telemetry and support data.

A practical roadmap for DevOps cloud skills in security, IAM, architecture, and configuration management.

Build a streaming revenue assurance pipeline for SaaS to catch billing drift, usage anomalies, failed metering, and fraud before revenue leaks.

A practical DevOps telemetry playbook for latency, churn, and incident prevention—built on actionable metrics, correlation, and alert-driven ops.

A practical framework for balancing cloud pipeline cost, speed, and reliability without overengineering or overspending.

A practical cloud security control framework for encryption, IAM, audit logging, secrets, and compliance.

A practical buyer’s guide for evaluating cloud providers on scalability, security, compliance, support, and automation fit.

A practical blueprint for Kubernetes GPU clusters, covering power, cooling, scheduling, storage, identity, and scaling.

A 2026 cloud security checklist for developers covering secure design, identity, zero trust, config, data protection, and deployment.

A practical systems guide to third-party AI integrations that preserve uptime, privacy, observability, and vendor flexibility.

A practical cloud migration readiness checklist covering downtime, dependencies, security, data integrity, cutover, and rollback planning.

Build a private, auditable AI knowledge base with RBAC, tenant isolation, secure ingestion, and governed Q&A retrieval.

A reference design for API-first observability that exposes pipeline status, cost, failure, and performance data for automation and tooling.

A vendor-neutral playbook for identity, networking, logging, and policy standardization across multi-cloud without operational sprawl.

A practical guide to quantum risk, post-quantum cryptography, and crypto agility for DevOps security planning.

A buyer’s guide to SaaS, PaaS, and IaaS that compares developer experience, control, speed, and ops overhead.

Learn how DevOps and security can share one cloud control plane with IAM, policy as code, audits, and least privilege.

A practical playbook for legacy modernization using strangler patterns, service extraction, and phased cutovers.

A practical framework for deciding which AI workloads belong in cloud, edge, or on-device to optimize latency, cost, and reliability.

A practical guide to tenant isolation, fairness, and noisy-neighbor control in multi-tenant cloud pipelines.

A step-by-step blueprint for moving ERP-adjacent supply chain workflows into cloud SCM with minimal disruption.