SaaS pricing scales with seats, not value. Here's a simple framework for deciding when a custom AI-powered replacement actually pays off.
How to cut cloud costs 30-90%: a vendor-agnostic guide to reducing AWS, GCP, Azure, and SaaS bills with real audit findings and concrete next steps.
A practical, no-fluff checklist I use on every audit to find quick AWS savings within the first week.
Scraping SaaS pricing scales linearly with traffic. At any volume, self-hosted is dramatically cheaper. Here's the stack I deploy and the gotchas I've learned.
AI changed the math on building vs buying internal tools. Here's a no-fluff framework I use with clients to decide what to replace and what to keep paying for.
After 100+ audits, the same waste shows up everywhere. Here's the pattern catalogue — what to look for, where it hides, and how much it usually costs.
30 days is enough to cut a typical cloud bill by 30-50% if you sequence the work correctly. Here's the day-by-day plan I run on every engagement.
Multi-cloud is sold as risk reduction. Most of the time it's just doubled spend, doubled ops, and doubled blast radius. Here's when it actually pays.
Two AWS accounts, two cloud bills, two stacks after an acquisition. Here's the 90-day sequence to consolidate without breaking anything or overpaying.
Snowflake bills are mostly compute. Here's how to size warehouses correctly, kill the silent burn, and use materialised views without making it worse.
AWS Shield Advanced costs $3,000/month before any traffic. Cloudflare's free tier stops most attacks. Here's when each option is actually justified.
If your Datadog bill has crossed $20-30k/month, self-hosting starts to make sense. Here's the stack I deploy and what to expect.
Running Llama 3.3 or Mistral on your own GPU instances looks cheap until you do the full maths. Here's the real crossover point versus Claude and GPT-4o APIs.
Datadog bills can rival the cloud bill they're supposed to monitor. Here's where the spend actually goes and how to cut it 50-70% without losing visibility.
LLM API costs are controllable. Prompt caching alone cuts 50-90% off repeated calls. Here's every lever worth pulling: caching, batching, and model routing.
BigQuery is brilliant until your team learns to write SELECT *. Here's how to cut a runaway BigQuery bill by 60-90% without changing your data model.
Intercom's per-resolution pricing adds up fast. Here's how to cut customer support tool costs by 70-90% with cheaper alternatives and AI triage.
GCP bills look different from AWS but the failure modes are the same. Here's the playbook I run on Google Cloud accounts to cut 30-60% without re-architecting.
LaunchDarkly charges per MAU and the bill climbs fast. Unleash, Flagsmith, and GrowthBook deliver the same capability self-hosted for under $200/month.
Lambda is cheap until it isn't. Here's the full set of levers — memory tuning, ARM, packaging, provisioned concurrency — that take a runaway serverless bill back to sensible.
Segment Connections + Engage pricing compounds with MTU volume. RudderStack, Snowplow, and Jitsu offer the same pipeline for a fraction of the cost.
EKS bills explode quietly. Here's the playbook I run on every cluster: control plane, node sizing, Karpenter, Spot, and the request/limit fixes that pay back fastest.
AWS SES sends email at $0.10 per 1,000 emails. SendGrid charges $90-900/month for the same volume. Here's what you trade away and when SES makes sense.
CloudWatch is the line item that surprises every engineering team. Here's where it actually goes and how to cut it 60-80% without losing visibility.
Twilio's per-message pricing adds up fast at scale. Here are the crossover thresholds, the alternatives I use, and when direct carrier connections pay off.
S3 has eight storage classes and a confusing pricing model. Here's a clear map of which class fits which workload, with real numbers from real audits.
Auth0 and Okta CIAM pricing compounds fast above 10k MAU. Here are the alternatives I deploy, a migration playbook, and what to watch out for with SOC 2.
AWS commitment discounts can take 30-72% off your bill. The question is which type to buy and for how long. Here's the framework I use on every audit.
pgvector beats hosted vector DBs on cost at 1M-10M vectors, but the maths changes at 100M+. Here's an honest comparison with real numbers and decision rules.
RDS is usually the second-largest line item on an AWS bill and the one teams touch the least. Here's where the savings actually live.
Algolia's per-record pricing hits hard at scale. Here's when Postgres full-text search and pgvector cover the same ground for a fraction of the cost.
Graviton instances are 20-40% cheaper than x86 at equal or better performance. The hard part isn't technical — here's how to actually do the migration without breaking things.
ElastiCache Redis bills inflate through oversized nodes, unused replicas, and ignored eviction. Here's how to cut 30-50% without any application changes.
Most EC2 fleets are 30-60% over-provisioned. Here's the exact 14-day procedure I run on every audit to cut the bill without breaking production.
Managed Postgres bills inflate through oversized instances, wasted IOPS, redundant replicas, and excessive backup retention. Here's how to cut 30-50%.
Data transfer is the line item nobody understands until it's $40k a month. Here's a clear map of where AWS actually charges you and what to do about it.
MongoDB Atlas bills inflate through oversized clusters, backup accumulation, and Data Federation scans nobody watches. Here's where the real savings are.
NAT Gateway is the silent line item that quietly eats $5-50k a month. Here's exactly what's driving it and how I cut it on real audits.
CDN bandwidth costs vary by 10x across providers and regions. Here's an honest 2026 comparison of Cloudflare, CloudFront, and Fastly at real traffic volumes.
Three serverless platforms, three billing models, very different costs at scale. Here's the honest comparison with real numbers at 5M, 50M, and 500M requests.
Azure Functions billing depends heavily on your plan. Here's how to pick the right one and tune memory, duration, and cold starts without overspending.
Fargate bills balloon when task sizes are guessed at launch. Here are the exact levers — right-sizing, Spot, Savings Plans, ARM — that cut costs 40-65%.
Heroku's free tier is gone and paid plans are expensive. Here's how to pick the right destination — Render, Fly.io, or AWS — and migrate without breaking it.
Vercel and Netlify bills can jump from $20 to $4,000/month without obvious warning. Here's what triggers the spikes and when it's time to migrate elsewhere.
Cloudflare bills beyond plan price through Workers, R2, Stream, Argo, and custom rate limiting. Here's what's actually billed and where teams over-buy.
Cloudflare R2 has no egress fees. Workers charge per request. Here's an honest cost comparison against the AWS edge stack — and when Cloudflare actually wins.
Azure Reserved VM Instances, Azure Savings Plans, and Hybrid Benefit are all discount paths — but they work differently. Here's the decision framework I use.
Azure bills hide in oversized VMs, SQL thresholds, hot-tier storage, and Monitor ingestion. Here's where the spend actually goes and how to cut 30-60%.