Plkdt Labs

A practical AI data center checklist for DevOps teams covering power, liquid cooling, rack density, latency, and carrier-neutral connectivity.

A blueprint for governed, auditable industrial AI workflows using energy platform launch lessons.

A step-by-step playbook for migrating ETL/ELT workloads to elastic cloud infrastructure without breaking SLAs or blowing up costs.

A buyer-focused guide to carrier-neutral edge site selection, with practical criteria for latency, redundancy, carriers, compliance and ops.

A decision matrix for choosing public, private, or hybrid cloud across performance, compliance, integration effort, and cost.

A 72-hour blueprint for turning reviews, tickets, and feedback into product signals with Databricks and Azure OpenAI.

How healthcare and finance validation models can sharpen DevOps release controls, audit trails, and cloud production readiness.

A workflow-first guide to automating cloud governance with CI/CD, IaC, tagging, budgets, access reviews, and policy as code.

A practical checklist for monitoring freshness, latency, failures, and spatial quality across AI and geospatial pipelines.

A deep-dive framework for AI monitoring in distributed DevOps, inspired by healthcare remote monitoring patterns.

Avoid wasted spend in AI infrastructure by right-sizing power, cooling, storage, and network design from the start.

Learn how cloud GIS turns location data into real-time DevOps visibility for outages, asset tracking, and smarter infrastructure decisions.

A practical guide to centralized, edge, and hybrid compute placement for DevOps teams evaluating latency, cost, and resilience.

Learn how to cut data engineering costs by reducing idle compute, overprovisioning, storage waste, and hidden pipeline inefficiencies.

A developer-first guide to resilient AI APIs, model routing, fallback logic, and stable service boundaries for product teams.

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.

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

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

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.