AIAgentsOps (@aiagentsops) 's Twitter Profile
AIAgentsOps

@aiagentsops

πŸ€– AI Agents & AgentOps
⚑ Building deployable, scalable multi-agent systems
πŸ“š Sharing Knowledge on AI, Python, Kubernetes

ID: 1959552472583991297

calendar_today24-08-2025 09:45:05

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Kubernetes simplified in 2026 ☸️ β€’ Pod β†’ your app lives here β€’ Deployment β†’ keeps it alive & updated β€’ Service β†’ lets others find it β€’ Ingress β†’ brings traffic from outside β€’ ConfigMap β†’ app settings β€’ Secret β†’ passwords & keys β€’ Namespace β†’ keeps

Kubernetes simplified in 2026 ☸️

β€’ Pod β†’ your app lives here  
β€’ Deployment β†’ keeps it alive & updated  
β€’ Service β†’ lets others find it  
β€’ Ingress β†’ brings traffic from outside  

β€’ ConfigMap β†’ app settings  
β€’ Secret β†’ passwords & keys  
β€’ Namespace β†’ keeps
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Kubernetes Pro Tip #15 πŸš€ By default, Pods can communicate with any other Pod inside the cluster. Without NetworkPolicies: β€’ Any Pod can access internal services β€’ Lateral movement becomes easy β€’ Security boundaries are weak NetworkPolicies allow you to control: β€’ Ingress

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I see fear in IT everywhere 😬 ⬇ β€œlike: Will I lose my job?” ⬇ β€œIs AI replacing me?” ⬇ β€œIs the market dead?” ⬇ Companies getting wiped out overnight. ⬇ Funding gone. ⬇ Hiring frozen. ⬇ Dreams paused. ⬇ Listen carefully… ⬇ It’s not your fault. ⬇ Cycles happen. ⬇

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Kubernetes Pro Tip #16 πŸš€ Namespaces without ResourceQuotas can consume unlimited cluster resources. Without quotas: β€’ One team can exhaust CPU or memory β€’ Too many Pods can be created β€’ Other workloads get affected ResourceQuotas let you limit: β€’ Total CPU and memory β€’

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Redis Caching Made Simple πŸ”₯ Using Redis but not sure which pattern you're using? Here are the 5 main strategies: 1️⃣ Cache Aside (Most Common) β†’ Check Redis first β†’ On miss, read DB β†’ Update Redis βœ” Simple ⚠ Can serve stale data 2️⃣ Read Through β†’ Cache layer fetches

Redis Caching Made Simple πŸ”₯

Using Redis but not sure which pattern you're using?

Here are the 5 main strategies:

1️⃣ Cache Aside (Most Common)
β†’ Check Redis first
β†’ On miss, read DB
β†’ Update Redis
βœ” Simple
⚠ Can serve stale data

2️⃣ Read Through
β†’ Cache layer fetches
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AI agent nuked AWS prod for 13 hours πŸ’₯ Mid-Dec 2025: AWS's Kiro AI coding tool Got high perms, no oversight Chose: "Fix bug? Delete env and rebuild" Boom: 13-hour outage on Cost Explorer Mainly China region hit Engineers raced to recover at 3AM Amazon says:

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Kubernetes Pro Tip #17 πŸš€ Not all nodes should run all workloads. Without control: β€’ Critical workloads mix with batch jobs β€’ Resource contention increases β€’ Node specialization is lost Taints prevent Pods from scheduling on certain nodes. Tolerations allow specific Pods

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DevOps / Cloud profile in 2026 πŸ₯‡ Core Foundation (Non-Negotiable) - AWS - Azure - Terraform - Docker - Kubernetes - Helm - GitHub Actions - Jenkins (still big in enterprises) πŸ₯ˆ Production & Scalability - ArgoCD (GitOps) - Kafka (event-driven systems) - Istio (service mesh –

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Platform Engineer Profile in 2026 πŸš€ πŸ₯‡ Core (Non-Negotiable) β€’ Deep Kubernetes (CRDs + Operators) β€’ Terraform / OpenTofu + Crossplane β€’ AWS + Azure (multi-cloud) β€’ GitHub Actions + Argo Workflows β€’ GitOps (ArgoCD / Flux) πŸ₯ˆ Build Internal Platforms β€’ Backstage (IDP +