The Problem

Why AIDLC?

Faster delivery
Tens of dollars per feature, hours of elapsed time. Not weeks.

Built-in compliance
Every action audited. Every dollar attributed to an issue.

Institutional memory
The pipeline learns. The org's knowledge stops walking out the door.

Faster onboarding
New engineers ramp on a pipeline that already knows the codebase. 

A pipeline that improves
Each cycle's retro feeds the next cycle's configuration.

Humans stay in control
Agents propose. Humans approve. Every merge is gated.

Problems

Why AIDLC?

Observability Standard

OpenTelemetry:
Baked in, not bolted on

We instrument every migrated workload with OpenTelemetry from day one, giving you vendor-neutral traces, metrics, and logs across your entire estate.
What we wire up on every engagement

Auto-instrumentation of .NET and Java services → ADOT collector sidecars on EKS → AWS X-Ray for distributed tracing → CloudWatch for metrics and logs → custom dashboards and SLO alerting. All traces, metrics, and logs flow through a single OTel pipeline, swap backends without re-instrumenting.

VM → Container replatforming

Move off bare VMs onto EKS with proper orchestration, autoscaling, and workload isolation.

Custom metrics

Business and technical KPIs exported via OTel metrics SDK to CloudWatch and Managed Prometheus.

Structured logging

JSON-structured logs with trace correlation IDs, shipped to CloudWatch Logs Insights.

SLO alerting

Composite alarms and SLO burn-rate alerts wired from day one not as an afterthought.

Before & After

What changes in your architecture

Before
Monolithic .NET / Java app on VMs
After
Containerized microservices on EKS
Before
Self-managed relational DB on EC2
After
Amazon Aurora / RDS with redesigned schema
Before
On-prem RabbitMQ / ActiveMQ
After
Amazon SQS / MSK / EventBridge
Before
No distributed tracing or correlation
After
Full OTel traces, metrics, and logs
Before
Single AWS account, manual IAM
After
AWS Control Tower multi-account with guardrails
Before
Manual deployments, no CI/CD
After
GitOps pipelines with ArgoCD / CodePipeline
Enterprise Scale

AWS Landing Zone & multi-account governance

Security and compliance are not a phase, they are the foundation. We deploy enterprise-grade account structures that satisfy the most demanding regulatory requirements.
Outcomes

Measurable results our clients achieve

60-80%
infrastructure cost reduction vs on-prem VMs

10x
faster deployments via GitOps pipelines

99.9%+
availability through EKS self-healing & multi-AZ

<5 min
MTTR with full OTel trace-to-log correlation

Case Studies

kloia_open_source_obsevability

Open-Source Observability Transformation on AWS

kloia_open_source_obsevability

Open-Source Observability Transformation on AWS

Boost AI
Eleven Plus Preparation with AI Product Deployment

Intelliflo
Save 65% on Infrastructure with .NET Modernization on AWS

AWS + kloia
Automative Industry Platform Development Journey on AWS with kloia

Payguru
Log Centralization with CrowdStrike Falcon LogScale

Let's Work Together