All terms
Development

What is Serverless

Architecture without server management

Serverless — a cloud computing model where the provider manages infrastructure, and developers focus only on code.

Key Concepts

  • FaaS (Functions as a Service) — running functions on events
  • BaaS (Backend as a Service) — ready-made backend services
  • Event-driven — execution on triggers
  • Pay-per-use — payment only for usage

Popular Platforms

  • AWS Lambda — market leader
  • Google Cloud Functions — GCP integration
  • Azure Functions — Microsoft solution
  • Vercel / Netlify Functions — for frontend developers

Benefits

  • No server management
  • Automatic scaling
  • Pay for actual usage
  • Fast deployment

Limitations

Cold start, execution time limits, debugging complexity, vendor lock-in.

Applications

API endpoints, event processing, webhook handlers, scheduled tasks.

Benefits

Operational Flexibility. Rapidly scale up and down on demand. Adapt to seasonal peaks without hiring temporary staff. Change processes quickly without rebuilding systems. Full remote work support without efficiency loss.

How to Start

Step 1: Process Audit. Start by mapping current business processes as-is. Identify bottlenecks, time waste, and errors. Determine processes with highest automation potential. Measure baseline metrics before any changes.

ROI & Efficiency

Financial Results. Business profitability grows 15-25%. Cash flow increases 25% through process acceleration. DSO drops from 60 to 30 days. Forecasting accuracy reaches 85-90% with AI analytics.

Common Mistakes

Underestimating Maintenance. Automation requires ongoing support and evolution. Budget for annual maintenance costs. Assign clear ownership for each process. Plan for regular updates and optimization.

Who Needs It

SaaS & IT Companies. Tech companies with high uptime requirements. SaaS businesses scaling customer support. IT companies automating DevOps processes. Startups pursuing product-led growth strategies.

Practical Example

Case: HR & Recruiting. A company with 1,000 annual hires automated resume screening. AI analyzes 500 resumes in 10 minutes instead of 3 days manually. Hire quality improved 30% — the algorithm better predicts candidate fit.

Frequently Asked Questions

Q:How does automation help during a crisis?
Reduces operational costs without quality loss. Enables rapid scaling up and down. Remote work without efficiency loss. Automatic risk monitoring and early warning. Companies with automation recover from crises 2-3x faster than those without.
Q:What if automation isn't working?
Check data quality — it's the cause of 60% of problems. Ensure the process is properly documented. Conduct root cause analysis. Ask users about their issues. Often you need refinement, not replacement: rule tuning, model retraining, new system integration.
Q:How to choose an automation vendor?
Look for industry experience — at least 3-5 completed projects. Check reviews and case studies. Ask for a demo on your data. Pay attention to approach: waterfall vs agile. Ensure the vendor will transfer knowledge to your team, not create dependency.

Related terms

Cloud ComputingAPIDevOps