Deploys production-ready serverless functions on AWS, Azure or GCP in 1–4 weeks.
Includes automated deployments, secrets management, monitoring and cost dashboards.
Reduces infrastructure costs by 50–90% vs. always-on compute for intermittent workloads.
Compatible with REST APIs, scheduled jobs, event streams, and webhook integrations.
Many business workloads are event-driven and intermittent — file processing, API backends, scheduled reports, webhook handlers, notification pipelines. Running a dedicated server or container 24/7 for these workloads means paying for compute even when nothing is happening.
The appeal of serverless is clear: pay per execution, scale automatically, and never patch a server. But deploying serverless reliably — with proper CI/CD, secrets management, cold start optimisation, monitoring and cost controls — is harder than it looks.
Paying for always-on VMs or containers that handle sporadic event-driven workloads.
Functions deployed manually from local machines — no CI/CD, no versioning, no rollback.
Cold start latency causing poor user experience on infrequently-used functions.
No monitoring — functions fail silently and nobody knows until a downstream process breaks.
Cost visibility is poor — no dashboards or budget alerts per function or environment.
A complete, production-ready package — from architecture to deployment to ongoing support.
Automated deployment to AWS Lambda, Azure Functions and GCP Cloud Functions from a single codebase.
Pipeline that tests, packages and deploys functions on merge — with environment-specific config and automated rollback.
Secure secrets injection at runtime via AWS SSM, Azure Key Vault or GCP Secret Manager — never in code.
Function-level metrics, error rate tracking, duration percentiles and budget alerts per function.
Cold start reduction with provisioned concurrency, runtime tuning, and dependency optimisation.
Per-function cost attribution, budget alerts and cost-optimisation recommendations monthly.
50–90%
Pay per execution vs. always-on compute for event-driven workloads.
0
No VMs, no patching, no capacity planning — fully managed by the cloud provider.
<1 hr
Automated CI/CD deploys function changes in minutes.
99.9%
Cloud-native HA with automatic retry and dead-letter queue handling.
A transparent, structured delivery plan with weekly milestones so you always know what is happening and what comes next.
Every tier is a fixed-scope, fixed-price engagement. Start small and scale when ready.
From $1,500
3–5 days
Identify which workloads are good serverless candidates, estimate cost savings, and recommend the right platform.
From $5,000
1–2 weeks
Deploy 2–3 functions to production with CI/CD, monitoring and secrets management.
From $14,000
3–5 weeks
Full serverless workload migration or greenfield deployment with monitoring, cost controls and runbooks.
From $22,000
5–8 weeks
Complex event-driven architectures with step functions, queuing, event streaming and multi-region deployment.
From $2,000/mo
Ongoing
Managed serverless operations — monitoring, runtime updates, cost reviews and incident response.
Compared to generic consultancies and do-it-yourself approaches.
| Feature / Criterion | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
Multi-cloud function support | Single cloud | ||
CI/CD for functions | |||
Fixed price & scope | |||
Cold start optimisation | |||
Cost dashboard & alerts | |||
Secrets management included | Extra cost | Manual | |
Managed operations option |
It is a fixed-price engagement that designs, deploys and automates serverless function workloads on AWS Lambda, Azure Functions or GCP Cloud Functions — with CI/CD, monitoring, secrets management and cost controls included.
Event-driven workloads work best: API backends, file processing, scheduled jobs, webhook handlers, notification pipelines, and data transformation tasks. Workloads that are latency-sensitive or run continuously are better suited to containers or VMs.
AWS Lambda, Azure Functions (Consumption and Premium plans), Google Cloud Functions and Cloud Run, and Knative on Kubernetes for multi-cloud portability.
We analyse your latency requirements and apply appropriate cold start mitigation — provisioned concurrency on AWS Lambda, Premium plan on Azure Functions, minimum instances on Cloud Run — balanced against cost to meet your SLA.
We configure your existing CI/CD platform (GitHub Actions, GitLab CI, Azure Pipelines) to automatically test, package and deploy function changes on merge. Each environment (dev, staging, production) has separate configuration and approval gates.
Secrets are stored in cloud-native secret managers (AWS SSM Parameter Store, Azure Key Vault, GCP Secret Manager) and injected at runtime. We never store credentials in environment variables or function code.
You get a Grafana or cloud-native dashboard showing cost per function, invocation counts, duration percentiles and error rates. We configure budget alerts so you are notified before costs exceed thresholds.
Yes. We frequently inherit existing serverless deployments that lack CI/CD, monitoring or proper secrets management. The Assess tier documents the current state and the Build tier brings it up to production standards.
2025 Willingdon Ave #936, Burnaby, BC V5C 3Z3