Uptime Delivered
DevOps · AI Automation · Grafana Dashboards · Cloud Systems
Built for Real Traffic, Real Failures, Real Teams and Real Production Pressure
Your infrastructure deserves someone who’s been there at 2am
● Top Rated Plus on Upwork |
● 50+ Projects Delivered |
● 100% Job Success |
● Available Now
Uptime Delivered
Faster Releases
Cloud Cost Saved
Reply Time
✓ Deploy — 0 downtime
📊 All systems green
⚡ Pipeline running
🇺🇸 United States
🇬🇧 United Kingdom
🇨🇦 Canada
🇦🇺 Australia
🌍 Your Timezone
I’m not a general freelancer. I work with teams who already care about production quality but need help stabilising, scaling, or automating it properly.
Scaling from MVP → Growth. Systems breaking under real traffic and you need someone who’s fixed this before
Needing a reliable delivery partner for DevOps, automation, or infrastructure work on client projects
Tired of duct-taped systems and constant firefighting. You want engineering time back on building product
Operating across US, UK, Canada & Australia. Needs someone who works in your timezone and communicates like a team member
Everything works in staging, until real users arrive. I design deployment pipelines that stay predictable and boring, even under peak load
If deployments only succeed when the “right person” runs them, you don’t have a pipeline, you have a risk. I build systems that are predictable and repeatable
Engineers should be building product, not running the same manual steps again and again. I automate repetitive operations so teams focus on what moves the business forward
You built automations that worked at 100 users. Now you have 10,000 and everything’s breaking. I build workflows that scale with your business, not against it
When something breaks, nobody knows where to look. No metrics. No alerts. Just guessing. I implement monitoring so issues are visible, actionable, and fixable & fast
I don’t offer generic DevOps. I offer specific solutions to specific production problems. Every engagement is scoped, documented, and delivered with zero drama.
SaaS companies, product teams, startups scaling past 10k users
2–6 weeks depending on scope
$2,500 / project
GitHub Actions
Docker
Kubernetes
Terraform
Teams flying blind in production / post-incident recovery
1–3 weeks
$1,500 / project
Prometheus
Grafana
Loki
AlertManager
Marketing agencies, operations teams, SaaS with manual workflows
3 days – 4 weeks
$800 / project
n8n
Make.com
Zapier
REST APIs
Small teams needing a senior engineer who thinks in production
Project-based or retainer
$3,000 / project
Node.js
React
Python
PostgreSQL
I ask questions. I listen. I want to understand your business, not just your tech stack. By the end of the first call, you’ll have clarity you didn’t have before. 20 minutes. No commitment
I send a complete scope — what I’ll build, why, how long, what it costs. You approve it. Then we move. No hidden phases, no scope creep surprises
Regular updates. Shared progress. You’re never staring at a black box. Clear proposal: scope, timeline, fixed price. We only start if it’s the right fit for both of us
Full documentation. Full handover. I train your team if needed. You could run it all without me — that’s exactly how I want it. No dependency. No vendor lock-in
bisma@devops — deploy.sh
bisma@prod ~ $ ./deploy.sh –env production
# Running pre-deployment checks…
▸ Docker image built …………. ✓
▸ Security scan (0 critical) ….. ✓
▸ Unit tests 248/248 …………. ✓
▸ Integration tests passed …….. ✓
# Deploying to Kubernetes…
▸ Rolling update 0/3 → 1/3 → 3/3 ✓
▸ Health checks all pods ……… ✓
▸ Grafana alerts …………….. ✓ green
✓ Deployment complete — 0 downtime · 2m 14s
bisma@prod ~ $ # Friday deploy. Boring. Perfect.
I build the kind of infrastructure teams trust at 2am. No fake clients. No exaggerated metrics. Every project below reflects real production constraints
CI/CD
PROBLEM 01 · PRODUCTION RISK
Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.
📈 75% faster deploys · Zero production incidents post-launch
GitHub Actions
Docker
AWS ECS
Terraform
Observability
Problem 04 · Blind Failure
A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.
📈 60% faster incident response · Issues caught 40min earlier avg
Prometheus
Grafana
AlertManager
Loki
Automation
Problem 03 · Operational Drag
An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.
📈 15 hrs/week reclaimed· Full ROI in first 3 weeks
n8n
Make.com
REST APIs
Webhooks
Cloud & Infra
Problem 02 · Release Fragility
A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.
📈 38% cloud cost reduction · 99.97% uptime maintained
Kubernetes
Helm
Terraform
AWS
CI/CD
PROBLEM 01 · PRODUCTION RISK
Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.
📈 75% faster deploys · Zero production incidents post-launch
GitHub Actions
Docker
AWS ECS
Terraform
Observability
Problem 04 · Blind Failure
A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.
📈 60% faster incident response · Issues caught 40min earlier avg
Prometheus
Grafana
AlertManager
Loki
Automation
Problem 03 · Operational Drag
An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.
📈 15 hrs/week reclaimed· Full ROI in first 3 weeks
n8n
Make.com
REST APIs
Webhooks
Cloud & Infra
Problem 02 · Release Fragility
A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.
📈 38% cloud cost reduction · 99.97% uptime maintained
Kubernetes
Helm
Terraform
AWS
CI/CD
PROBLEM 01 · PRODUCTION RISK
Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.
📈 75% faster deploys · Zero production incidents post-launch
GitHub Actions
Docker
AWS ECS
Terraform
Observability
Problem 04 · Blind Failure
A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.
📈 60% faster incident response · Issues caught 40min earlier avg
Prometheus
Grafana
AlertManager
Loki
Automation
Problem 03 · Operational Drag
An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.
📈 15 hrs/week reclaimed· Full ROI in first 3 weeks
n8n
Make.com
REST APIs
Webhooks
Cloud & Infra
Problem 02 · Release Fragility
A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.
📈 38% cloud cost reduction · 99.97% uptime maintained
Kubernetes
Helm
Terraform
AWS
CI/CD
PROBLEM 01 · PRODUCTION RISK
Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.
📈 75% faster deploys · Zero production incidents post-launch
GitHub Actions
Docker
AWS ECS
Terraform
Observability
Problem 04 · Blind Failure
A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.
📈 60% faster incident response · Issues caught 40min earlier avg
Prometheus
Grafana
AlertManager
Loki
Automation
Problem 03 · Operational Drag
An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.
📈 15 hrs/week reclaimed· Full ROI in first 3 weeks
n8n
Make.com
REST APIs
Webhooks
Cloud & Infra
Problem 02 · Release Fragility
A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.
📈 38% cloud cost reduction · 99.97% uptime maintained
Kubernetes
Helm
Terraform
AWS
CI/CD
PROBLEM 01 · PRODUCTION RISK
Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.
📈 75% faster deploys · Zero production incidents post-launch
GitHub Actions
Docker
AWS ECS
Terraform
Observability
Problem 04 · Blind Failure
A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.
📈 60% faster incident response · Issues caught 40min earlier avg
Prometheus
Grafana
AlertManager
Loki
Automation
Problem 03 · Operational Drag
An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.
📈 15 hrs/week reclaimed· Full ROI in first 3 weeks
n8n
Make.com
REST APIs
Webhooks
Cloud & Infra
Problem 02 · Release Fragility
A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.
📈 38% cloud cost reduction · 99.97% uptime maintained
Kubernetes
Helm
Terraform
AWS
This is how I make decisions when systems are live and stakes are high
When systems are live, my first job is not to ship faster, it’s to reduce blast radius and protect users
If a system can’t fail safely, it’s not production-ready
Saying “no” early prevents outages later
How I help teams scale — safely, predictably, and without surprises. Practical systems. Production-ready automation. No fragile setups
☁️ CLOUD
⬤ AWS
⬤Azure
⬤GCP
⬤DigitalOcean
⚙️ CI/CD & IaC
⬤GitHub Actions
⬤GitLab CI
⬤Jenkins
⬤ArgoCD
⬤Terraform
⬤Ansible
🐳 Containers
⬤Kubernetes
⬤Helm
⬤Docker Compose
📊 Monitoring
⬤Prometheus
⬤Grafana
⬤AlertManager
⬤ELK Stack
⬤Datadog
⬤Loki
🤖 Automation
⬤n8n
⬤Make.com
⬤Zapier
⬤REST APIs
⬤Webhooks
💻 Dev
⬤React
⬤Node.js
⬤Python
⬤Bash/Shell
⬤PostgreSQL
⬤MongoDB
⬤Oracle
🌍
Not just demos, real environments, real traffic, real accountability. When something breaks at 2am, I’ve been there before.
⚙️
From pipelines and infra to workflows and integrations that teams actually use. I don’t hand you half a system.
📝
You always know what changed, why it changed, and what happens next. No black boxes. No tribal knowledge left behind.
🤝
I can lead independently or plug into existing teams without slowing them down. Top Rated Plus on Upwork · Usually reply within 4 hours.
DEVOPS · AUTOMATION · FULL STACK
DevOps Engineer and Automation Architect based in Lahore. I help startups and enterprises ship faster, run cleaner, and spend less on cloud. Specialising in the rare combination of CI/CD, production Grafana observability, and end-to-end no-code automation.
bismaidrees@outlook.com
Real feedback from real clients who were exactly where you are now
★★★★★
Bisma didn’t just set up our CI/CD pipeline — she rewrote how we think about deployments. We went from dreading Fridays to shipping twice a day without a second thought.
Marcus K.
CTO, SaaS Startup — United States
Verified
★★★★★
I was skeptical about the timezone difference. I shouldn’t have been. Bisma responded faster than my local contractors and caught a critical DB issue before any client noticed.
Sarah R.
Head of Eng — UK
Verified
★★★★★
“The automation work reclaimed 15 hours a week for my team. She spotted three workflows I hadn’t thought about and automated those too. Recommended without reservation.”
James P.
Founder — Australia
Verified
★★★★★
“Working with Bisma felt like having a senior DevOps engineer on our team full-time. She flagged risks we hadn’t seen and delivered ahead of schedule. We’ve rehired her twice.”
Alex L.
VP Eng — Canada
Verified
★★★★★
“Our cloud bill dropped 38% in the first month. Bisma identified waste we didn’t know existed. Clear communication throughout — always knew exactly what was happening.”
Rachel N.
CTO, FinTech — Australia
Verified
Everything you need to know before we work together
Both. Most projects are scoped and fixed-price so you know exactly what you’re getting. For ongoing work, I offer monthly retainers.
Both. I’m comfortable leading independently for solo founders, or plugging into an existing engineering team as a specialist. I adapt to your workflow, Slack, Jira, Linear, whatever you use.
Start with the free 30-minute audit call. Tell me what’s breaking. I’ll tell you what I’d do and whether we’re a good fit. No pitch. No pressure.
Yes, I’m Top Rated Plus on Upwork with 100% job success. You can find me there as Bisma Idrees. I also work directly with clients outside of platforms for larger engagements.
I’m based in Lahore (PKT, UTC+5). I overlap with US morning hours, full UK business hours, and Australian early evenings. I typically reply within 4 hours during business days, often much faster.
Tell me what you’re building or breaking. I’ll give you a straight answer on whether and how I can help
No pressure. No pitch. No templated response. I read every message personally
Tell me what you’re building or breaking. I’ll give you a straight answer on whether and how I can help
I read every message personally. If your project is a good fit, I’ll respond with specific thoughts, not a templated quote
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I read your message — personally, same day
Quick discovery call — 20 min, no commitment
Clear proposal — scope, timeline, fixed price
We start — only if it’s the right fit for both of us
Fill this out and I’ll come back with real thoughts, not a sales pitch.