Notes from the work.
Practical writing on DevOps, MLOps and AI engineering — cost models, hiring trade-offs, stack recommendations. About one post a month, no marketing fluff.
AI Product Development in Pakistan
Looking for an AI product development company in Pakistan? Learn how Techsolss builds production-grade AI software with robust MLOps and cloud infra.
AIMastering the AI Product Development Life Cycle
A hands-on guide to the AI product development life cycle. Learn how to bridge data science, MLOps, and robust DevOps to ship reliable AI apps.
DevOpsPlatform vs Product Engineering: Stop Confusing Them
Platform vs product engineering explained by a DevOps engineer. Understand internal developer platforms, feature delivery, and when to adopt each.
AIHiring an AI Product Development Company in Pakistan
Looking for an AI product development company in Pakistan? Learn how to evaluate engineering partners, avoid MLOps pitfalls, and budget for production.
DevOpsPlatform Engineering vs Infrastructure Engineering
Compare platform engineering and infrastructure engineering. Learn scope, daily workflows, tooling, and how to choose the right focus for your team.
AIA WhatsApp AI chatbot for your business: what it really takes in 2026
What building a production WhatsApp AI chatbot actually involves in 2026 — Cloud API setup, webhooks, LLM safety, voice notes, and honest costs — from a team that has shipped one.
AISelf-hosted voice AI: Whisper + neural TTS in production, without GPUs
A practical production guide to self-hosted voice AI in 2026: CPU-only Whisper transcription, neural text-to-speech, latency budgets, Docker packaging, and when managed services win.
Automationn8n vs custom Python agents: choosing your business automation stack
When a visual workflow tool like n8n is enough, when a custom Python agent is worth writing, and the hybrid pattern that usually wins — from a team that runs both in production.
SoftwareChoosing a backend stack in 2026: .NET, Django, Node, Laravel or Go
There’s no single best backend in 2026. Here’s how to actually choose between .NET, Django, Node, Laravel and Go — matched to your team, your problem and your hiring reality.
AIManaged or self-hosted AI models: Azure AI Foundry, NVIDIA NIM, or your own
When to use a managed model on Azure AI Foundry or NVIDIA NIM versus self-hosting your own open-weight model — a practical guide on cost, control and compliance.
MLOpsMLOps starter stack for a 5-person data team in 2026
If you’re a small data team graduating from notebooks, here’s the minimum viable stack — experiment tracking, model registry, pipelines, monitoring — without buying a platform.
DevOpsHow much does it cost to migrate a small SaaS to Kubernetes?
A grounded breakdown for a 10–30 person SaaS team: cloud costs, consulting costs, engineering time, and the hidden ones — with two real numbers you can sanity-check against.
HiringFractional DevOps consultant vs full-time hire: when each makes sense
A clear framework for engineering leaders deciding between hiring a platform engineer, retaining a fractional consultant, or putting a one-off engagement on the calendar.
More posts every few weeks. Subscribe via the footer form or grab the RSS feed.