AJ Ray

Clarity Coach // Social Entrepreneur

[Dan @seyiolamideh]

Maybe this is God giving me a 2nd chance at this.. hopefully I get it right this time 🙏📉📈

[AJ Ray @RayAJ001]

@seyiolamideh Let’s go

[AJ Ray @RayAJ001]

@mischavdburg DEVOPS

[AJ Ray @RayAJ001]

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[Khusboo Tayal @KhusbooT14835]

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[Pushpendra Tripathi @pushpendratips]

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[Akhilesh Mishra @livingdevops]

Your Kubernetes DNS is slow because your pods are calling a DNS server on the other side of the cluster.

Every hostname lookup becomes a network round trip. Your app on node 1 needs to resolve a service name, so it calls CoreDNS running on node 5.

Then the response travels all the way back.

NodeLocal DNSCache puts a DNS cache on every single node.

Now, your pods communicate with localhost for DNS instead of traversing the network. Cached queries return instantly.

Cache misses still go to CoreDNS, but most production workloads have predictable DNS patterns.

The setup is simple: deploy a DaemonSet that runs a local DNS cache on each node. Your pods keep using the same DNS settings but get faster responses.

The performance difference is obvious in clusters with high DNS query rates or when DNS servers are overloaded. Some workloads see DNS latency drop from hundreds of milliseconds to single digits.

You can deploy it with just one kubectl command. The local cache automatically syncs with your main DNS service.

This matters more as your cluster grows. Small clusters might not notice DNS bottlenecks, but at scale, DNS becomes a critical performance chokepoint.

Applications making frequent service discovery calls can see significant latency improvements.

This is one of those changes that costs nothing but can dramatically improve application response times.

[AJ Ray @RayAJ001]

@livingdevops I want it

[AJ Ray @RayAJ001]

@Dr_Pharouk Excision of the poly
RCT

[AJ Ray @RayAJ001]

@mticketofficial #Runes
#Bitcoin

[Ticketdotfans🎟️ @ticketdotfans]

We are about to introduce a ‘first’ to the Bitcoin Network.

DMs open for 🧑‍💻👩‍💻🛳️📈.

[AJ Ray @RayAJ001]

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[AJ Ray @RayAJ001]

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[AJ Ray @RayAJ001]

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[AJ Ray @RayAJ001]

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