Скачать или смотреть AI Agents in Autonomous Infrastructure Interview Questions 2026 | Self-Healing Cloud, AIOps

1️⃣ What are autonomous infrastructure systems in cloud computing?

Autonomous infrastructure refers to self-managing cloud systems that can configure, scale, repair, and optimize themselves with minimal human involvement.
Modern infra uses AI agents trained on telemetry data, logs, metrics, KPIs, and historical incidents to make intelligent decisions.

Real Example:

A Kubernetes cluster that detects an unhealthy pod, creates a replacement, updates load balancers, and reroutes traffic — without any human intervention.

Where used?

AWS auto-managed services

Google SRE-driven systems

Netflix's autonomous failure recovery framework

AI agents convert infrastructure into a self-operating ecosystem.

2️⃣ How do AI Agents enable self-healing cloud environments?

Self-healing means infra can fix itself automatically.
AI Agents monitor:

CPU/memory spikes

container failures

network anomalies

latency or error rates

When something goes wrong, they take actions like:

restarting services

rolling back deployments

reallocating resources

draining unhealthy nodes

recreating failed clusters

Example:

If a Kubernetes node becomes unreachable, an AI Agent can:

Identify why

Restart node or migrate workloads

Update DNS/service mesh

Notify engineers with a summary

AI = auto-detection + auto-repair + intelligent notification.

3️⃣ What is predictive autoscaling and how do AI Agents optimize it?

Traditional autoscaling reacts to metrics after load increases.
AI-driven predictive autoscaling uses ML models to forecast:

future traffic

workload spikes

resource consumption

batch-processing surges

Example:

An AI Agent notices a pattern:
Every Monday 9:00 AM → huge traffic surge.
Instead of waiting, it pre-increases replicas, adjusts DB provisioned IOPS, and warms caches.

Tools that support this:

AWS Auto Scaling with ML

Google Cloud Autopilot

Azure AI-based scaling policies

Kubernetes KEDA + custom ML agents

This saves cost and boosts reliability.

4️⃣ How do AI Agents detect and resolve infrastructure incidents automatically?

AI Agents in AIOps platforms continuously monitor:

logs

traces

metrics

network flows

container health

They use anomaly detection & clustering to identify incidents.

AI Agent can automatically:

mitigate DDoS threats

roll back faulty deployments

redeploy containers after a crash

fix configuration drift

detect root cause using correlation graphs

summarize incidents into human-readable reports

Real Example:

Dynatrace’s Davis AI or Datadog AIOps:
→ Detects spike in error rate
→ Traces it to faulty microservice
→ Suggests rollback & executes it
→ Sends Slack report

This reduces MTTR from hours → minutes → seconds.

5️⃣ Which tools and platforms support AI-driven autonomous infrastructure today?

Here are the most trending 2026 platforms:

AIOps & Infra AI Agents:

Dynatrace Davis AI

Datadog AIOps

New Relic Applied Intelligence

Splunk ITSI

PagerDuty Intelligent Automation

IBM Watson AIOps

Multi-Agent AI Orchestration:

LangChain Agents + Kubernetes

AutoGPT for Infra Tasks

CrewAI with Cloud workflows

Microsoft Autogen for multi-agent infra

Cloud-native AI Systems:

AWS Fault Injection Simulator + AI detection

Google Cloud Autopilot

Azure AI Operations

Self-Healing Tools:

Kubernetes + AI anomaly detector

Istio service mesh + AI policy engine

Terraform Cloud with AI drift detection

AI + infra = the foundation of autonomous, intelligent cloud operations.

🔥 Why These Questions Matter in 2026?

Companies want SREs, DevOps Engineers, and Cloud Engineers who understand how AI:

reduces manual toil

improves uptime

boosts reliability

automates incident response

scales infrastructure intelligently

Roles these questions apply to:

Autonomous Infrastructure Engineer

AI-Driven Cloud Engineer

SRE / AIOps Engineer

Platform Engineer

Cloud Reliability Architect

DevOps Automation Specialist

🔮 Future Outlook (2026 → 2030)

AI Agents will soon:

manage entire cloud ecosystems

perform RCA without humans

auto-detect vulnerabilities

optimize cost autonomously

maintain complex microservice architectures

collaborate as multi-agent cloud brains

The future of cloud is self-driving infrastructure.

#AIAgents #AIOps #AutonomousInfrastructure #DevOps #SRE #CloudComputing #AIinCloud #InfraAutomation #Kubernetes #CodeVisium