|
Cloud · K8s · CI/CD |
Engineering · Skills |
AECHO · Architecture |
Season 01 · Episode 01 |
Season 01 · Episode 02 |
Season 01 · Episode 03 |
DevOps engineering: building and operating delivery systems across cloud, Kubernetes, CI/CD, infrastructure, observability and automation.
 ⚡ AUTOMATION |
 🔭 OBSERVABILITY |
 💻 SOFTWARE |
 🤖 AI CORE |
☁️ Cloud — AWS · Azure · Networking · Compute · Security · Architecture
☸️ Platform — Kubernetes · Docker · Helm · Workloads · Services · Scaling
⚙️ Delivery — Git · GitHub Actions · Jenkins · GitLab CI/CD · Harness
🏗️ Infrastructure — Terraform · Ansible · Linux · Infrastructure as Code
🔭 Observability — Prometheus · Grafana · Logs · Metrics · Traces · Alerts
💻 Software — Python · Java · Node.js · APIs · Bash · Git
🗄️ Data / Messaging — PostgreSQL · MongoDB · Redis · RabbitMQ
┌──────────────────────┐
│ 🧠 AI CORE │
│ │
│ CONTEXT │
│ REASON │
│ PLAN │
│ EXECUTE │
└──────────┬───────────┘
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
LLMs RAG AGENTS
│ │ │
└─────────────────┼─────────────────┘
▼
TOOL / API EXECUTION
│
┌──────────────┼──────────────┐
▼ ▼ ▼
☁️ CLOUD ☸️ K8S 🐙 GIT
│ │ │
└──────────────┼──────────────┘
▼
DEVOPS AUTOMATION
Exploring: LLMs · RAG · AI Agents · AI-assisted DevOps · Infrastructure Intelligence
Can AI understand an engineering environment as a connected system?
AECHO is an evolving engineering R&D project exploring infrastructure intelligence.
OBSERVE
↓
UNDERSTAND
↓
CORRELATE
↓
REASON
↓
RECOMMEND
↓
AUTOMATE
CLOUD ───────┐
KUBERNETES ──┼──► OBSERVABILITY ──► SYSTEM GRAPH ──► AI CORE
IaC ─────────┘ │
├──► INSIGHT
└──► ACTION
AECHO is presented as an engineering project — not a founder/company identity.
| Genre | What you'll find |
|---|---|
| ☁️ Cloud | Architecture, compute, networking, reliability |
| ☸️ Kubernetes | Containers, workloads, platform engineering |
| ⚙️ DevOps | CI/CD, IaC, deployment automation |
| 🔭 Observability | Metrics, logs, traces, incident response |
| 💻 Software | Python, Java, APIs, Linux, tooling |
| 🤖 AI | LLMs, RAG, agents, AI automation |
| 🧪 Experiments | Labs, prototypes, architecture explorations |
⭐ Kubernetes Labs
⭐ CI/CD Experiments
⭐ Infrastructure Automation
⭐ Cloud Architecture
⭐ Observability Labs
⭐ AI Engineering Experiments
⭐ Developer Tooling
⭐ AECHO
The engineering loop:
IDEA → EXPERIMENT → PROTOTYPE → BREAK → DEBUG → REFACTOR → SHIP → OBSERVE
🚨 ALERT
│
▼
🔭 SIGNAL
│
┌────────────┼────────────┐
▼ ▼ ▼
📜 LOGS 📊 METRICS 📨 EVENTS
│ │ │
└────────────┼────────────┘
▼
🔗 CORRELATE
│
▼
🧩 ROOT CAUSE
│
▼
🔧 FIX
│
▼
⚙️ AUTOMATE
│
▼
🛡️ PREVENT
A good incident response fixes the problem.
A better one reduces the probability of the next occurrence.
My professional identity here is DevOps Engineer.
My creator side lives at JayMarathi Career.
🍿 Post-credit scene
jayesh@jayflix:~$ systemctl status curiosity
● curiosity.service
Loaded: loaded
Active: running
Restart: always
jayesh@jayflix:~$ echo "next episode?"
AECHO