#DevOps

DevOps practices unify development and operations for faster, more reliable software delivery. Posts cover Terraform-based infrastructure automation, SOC 2 compliance in CI/CD pipelines, and the DevOps patterns that make compliance a natural part of the delivery workflow.

16 posts tagged with devops. ← All posts

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Pratik Dhanave · ·7 min read

Operators and Kubernetes in Production

Kubernetes's deepest idea isn't its built-in objects — it's that the reconciliation model is extensible. You can teach Kubernetes new concepts and automate operating them, which is what operators do. This closing post covers that extension model, the realities of running Kubernetes in production, and the honest verdict on when its power is worth its complexity.

Kubernetes's deepest idea isn't its built-in objects — it's that the reconciliation model is extensible. You can teach Kubernetes new concepts and automate operating them, which is what operators do. Plus the realities of running it in production, and when it's worth the complexity.

#Kubernetes#Cloud Native#DevOps#SRE#Containers
Pratik Dhanave · ·7 min read

Building and Adopting a Platform

The hardest part of platform engineering isn't the technology — it's building a platform people actually adopt, and knowing whether it's working. This closing post covers treating the platform as a product, measuring it with DORA metrics and adoption, structuring the team, and the failure modes that sink platforms. Getting these right is what turns platform engineering from a project into a lasting capability.

The hardest part of platform engineering isn't the technology — it's building a platform people actually adopt, and knowing whether it's working. Treat the platform as a product, measure it with DORA metrics and adoption, and avoid the failure modes that sink platforms.

#Platform Engineering#DevOps#Engineering Leadership#Backend Engineering#SRE
Pratik Dhanave · ·7 min read

Scheduling and Resources

Kubernetes has to answer a question every time a pod is created: which machine should run it? The scheduler answers it, and the quality of that answer depends entirely on information you provide — resource requests and limits. Get those right and the cluster packs efficiently and stays stable; get them wrong and you get waste, evictions, and mysterious outages.

Kubernetes answers a question every time a pod is created: which machine runs it? The scheduler answers it, and the quality depends on resource requests and limits you provide. Get those wrong and you get waste, evictions, and mysterious outages.

#Kubernetes#Cloud Native#Performance#DevOps#Containers
Pratik Dhanave · ·6 min read

Observability, SRE, and Reliability on the Platform

A platform that ships fast but falls over isn't a good platform. Reliability is a first-class platform capability — and the smartest move platform engineering makes is to build observability and SRE practices into the platform, so every service gets monitoring, SLOs, and reliability by default instead of each team reinventing them. Reliability becomes a paved road too.

A platform that ships fast but falls over isn't a good platform. Reliability is a first-class platform capability — the smartest move is to build observability and SRE practices into the platform, so every service gets monitoring, SLOs, and reliability by default.

#Platform Engineering#SRE#Observability#Reliability#DevOps
Pratik Dhanave · ·7 min read

Configuration and State

Pods are disposable — destroyed and recreated constantly — which raises two problems: how do you give a pod its configuration without baking it into the image, and how does any data survive a pod's death? ConfigMaps and Secrets answer the first; volumes and StatefulSets answer the second. This is how stateless-by-default Kubernetes handles config and the state it can't avoid.

Pods are disposable, which raises two problems: how to give a pod its config without baking it into the image, and how any data survives a pod's death. ConfigMaps and Secrets answer the first; volumes and StatefulSets answer the second.

#Kubernetes#Cloud Native#DevOps#Backend Engineering#Containers
Pratik Dhanave · ·7 min read

Developer Experience and Golden Paths

A golden path is the well-lit, paved road through your platform — the supported, opinionated way to build and ship a service, so a developer can go from idea to production without making a hundred infrastructure decisions. Developer experience is the measure of how good that road feels. Together they're what makes a platform actually reduce cognitive load rather than just relocate it.

A golden path is the well-lit, paved road through your platform — the supported, opinionated way to build and ship a service, so a developer goes from idea to production without a hundred infrastructure decisions. Developer experience is how good that road feels.

#Platform Engineering#Developer Experience#DevOps#Backend Engineering#SRE
Pratik Dhanave · ·8 min read

Services and Networking

Pods are ephemeral and get new IPs every time they're replaced, so how does anything reliably reach them? The Service — a stable address and load balancer in front of an ever-changing set of pods. Kubernetes networking looks intimidating, but it's a few clear layers solving one problem: stable communication over unstable pods.

Pods are ephemeral and get new IPs every time they're replaced, so how does anything reliably reach them? The Service — a stable address and load balancer in front of an ever-changing set of pods. Kubernetes networking is a few layers solving one problem.

#Kubernetes#Computer Networking#Cloud Native#DevOps#Containers
Pratik Dhanave · ·6 min read

The Internal Developer Platform

The internal developer platform is the product platform engineering builds: a self-service layer that packages all the infrastructure complexity — CI/CD, Kubernetes, cloud, IaC — into paved roads a developer can use without understanding any of it. Getting the concept right, especially the "platform as a product" mindset, is the difference between a platform developers love and one they route around.

The internal developer platform is the product platform engineering builds: a self-service layer that packages all the infrastructure complexity into paved roads a developer can use without understanding any of it. The 'platform as a product' mindset makes or breaks it.

#Platform Engineering#DevOps#Developer Experience#Backend Engineering#SRE
Pratik Dhanave · ·6 min read

Controllers and the Reconciliation Loop

Controllers are where Kubernetes's core idea — declarative desired state plus reconciliation — becomes machinery. A controller is a loop that watches "what you want" versus "what exists" and acts to close the gap, forever. Self-healing, scaling, and zero-downtime rollouts are all just controllers doing that one thing. This is the engine of Kubernetes.

Controllers are where Kubernetes's core idea — declarative desired state plus reconciliation — becomes machinery. A controller is a loop that watches what you want versus what exists and acts to close the gap, forever. Self-healing, scaling, and rollouts are all just that.

#Kubernetes#Cloud Native#DevOps#Distributed Systems#Containers
Pratik Dhanave · ·6 min read

GitOps and Declarative Delivery

GitOps takes one idea to its logical conclusion: if your infrastructure and deployments are declarative code, then git should be the single source of truth, and a machine — not a human running commands — should continuously make reality match git. It turns "deploy" from an action you perform into a state you declare, and it's how modern platforms run.

GitOps takes one idea to its conclusion: if infrastructure and deployments are declarative code, git should be the single source of truth, and a machine — not a human running commands — should continuously make reality match git.

#Platform Engineering#DevOps#GitOps#Kubernetes#SRE
Pratik Dhanave · ·7 min read

Pods: The Atom of Kubernetes

Kubernetes doesn't run containers directly — it runs pods. This surprises newcomers: why wrap a container in another abstraction? Because the pod solves a real problem — some containers genuinely need to run together, sharing network and storage — and making the pod (not the container) the unit of scheduling is what makes the rest of Kubernetes coherent.

Kubernetes doesn't run containers directly — it runs pods. Why wrap a container in another abstraction? Because some containers genuinely need to run together sharing network and storage, and making the pod the unit of scheduling keeps the rest of Kubernetes coherent.

#Kubernetes#Containers#Cloud Native#DevOps
Pratik Dhanave · ·6 min read

Infrastructure as Code

Clicking through a cloud console to set up infrastructure is fast, fun, and a disaster you'll regret — because nobody can reproduce it, review it, or remember what you did. Infrastructure as code turns your servers, networks, and databases into version-controlled, reviewable, reproducible code. It's the practice that makes infrastructure an engineering discipline instead of an artisanal craft.

Clicking through a cloud console to set up infrastructure is fast, fun, and a disaster you'll regret — nobody can reproduce it, review it, or remember what you did. Infrastructure as code turns your servers and networks into version-controlled, reproducible code.

#Platform Engineering#DevOps#Infrastructure as Code#Cloud#SRE
Pratik Dhanave · ·6 min read

CI/CD: The Deployment Pipeline

CI/CD is the assembly line of modern software — the automated path from a developer's commit to running production code. It's the practice that turned releases from rare, terrifying events into routine, boring ones, and "boring releases" is one of the highest compliments in software. It's also the first capability any platform provides.

CI/CD is the assembly line of modern software — the automated path from a developer's commit to running production code. It turned releases from rare, terrifying events into routine, boring ones, and 'boring releases' is one of the highest compliments in software.

#Platform Engineering#DevOps#CI/CD#Backend Engineering#SRE
Pratik Dhanave · ·7 min read

What Problem Does Kubernetes Solve?

Kubernetes is famously complex, and most explanations start with its parts — pods, deployments, services — which is exactly backwards. Start with the problem: you have containers, you have many machines, and you need something to run the right containers on the right machines and keep them running as things fail. Kubernetes is a control loop for that, and once you see it that way, the complexity becomes comprehensible.

Kubernetes is famously complex, and most explanations start with its parts — which is backwards. Start with the problem: you have containers, many machines, and need something to run the right containers on the right machines and keep them running as things fail.

#Kubernetes#Containers#Cloud Native#DevOps
Pratik Dhanave · ·6 min read

From DevOps to Platform Engineering

DevOps promised to tear down the wall between development and operations — and it worked, but it accidentally built a new problem: it made every developer responsible for a sprawling stack of infrastructure, pipelines, and tooling nobody has time to master. Platform engineering is the industry's answer: give developers a paved road instead of a pile of tools. Understanding that evolution is the key to the whole discipline.

DevOps tore down the wall between dev and ops — and accidentally built a new problem: it made every developer responsible for a sprawling stack nobody has time to master. Platform engineering is the answer: give developers a paved road instead of a pile of tools.

#Platform Engineering#DevOps#SRE#Backend Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.