AI writes the playbooks, bots run your pipelines, and yes, yaml still haunts your dreams
Introduction: welcome to the devops multiverse
DevOps in 2025 isn’t what it used to be. Remember when DevOps meant manually setting up Jenkins, arguing over Dockerfile layers, and praying your CI job wouldn’t fail because of a rogue npm install
? Yeah, we’ve moved on mostly.
Fast forward to today: the lines between dev, ops, and AI agents are blurrier than your production logs at 3AM. We’re building self-healing platforms, developers are shipping to prod without opening Slack, and bots are filing better JIRA tickets than humans ever did.
The game has changed. DevOps isn’t about managing infrastructure anymore. It’s about building platforms that manage themselves. It’s about collaboration between humans and intelligent systems. And it’s about letting AI handle the boring stuff so we can go back to arguing about tabs vs. spaces.
In this piece, we’re diving deep into what DevOps really looks like in 2025:
- The rise of platform engineering
- GitOps becoming the de facto standard
- AI taking over your terminal
- WASM threatening Docker’s dominance
- Security no longer being an after thought
- And why you need to learn how to think like a product engineer, not just a YAML wizard
So grab your VS Code theme of choice and let’s explore this brave new DevOps world no marketing BS, just real talk, real tools, and maybe one meme (you’ll know when it hits).
Section 1: the devops mindset shift
from shipping code to managing code ecosystems
Back in the early DevOps days, the goal was simple: break the wall between developers and ops so code could ship faster and safer. Fast forward to 2025, and we’re not just shipping code we’re building internal ecosystems that ship themselves.
DevOps ≠ CI/CD anymore
Let’s be honest “DevOps” used to be shorthand for “CI/CD pipelines + Docker + some Terraform you copied from Stack Overflow.” But now? That’s just table stakes. In 2025, DevOps is about platform engineering: crafting reusable, self-service infrastructure layers that empower devs to move fast without blowing stuff up.
Imagine a world where devs can spin up entire environments with one click, test in isolated sandboxes, and deploy without Slack messages like “is it safe to merge?” That’s not a dream it’s internal developer platforms (IDPs) powered by DevOps principles.
Platform engineering is the new DevOps
You’ll hear this term everywhere now: Platform Engineering. It’s DevOps on steroids. Teams are creating golden paths pre-configured workflows, pipelines, and environments that abstract away the boring parts.
Think of it like a modded Minecraft server for your company’s engineering:
- Want to launch a service? Run
create-service my-api
and boom GitHub repo, CI/CD, monitoring, infra, all ready. - Need logs or metrics? There’s a portal for that.
- Wanna debug staging? There’s an ephemeral environment waiting.
Tools like Backstage, Port, and Humanitec are leading this charge. And it’s not just big tech even startups are adopting platform thinking to reduce dev friction and cognitive load.
Developers as product users
The biggest shift? Thinking of developers as customers. Your internal platform is now a product. Your CI/CD pipelines? They need UX. Your onboarding flow? Needs DX (Developer Experience). This is no longer a backend problem it’s a team sport.
A good internal platform means fewer support tickets, fewer “how do I deploy this?” messages, and faster delivery cycles. And if your team hates your platform? Well… congratulations, you’re now in product management too.
Section 2: AI-driven everything
ChatOps? nah. say hi to BotOps.
Remember when ChatOps felt futuristic? You’d type /deploy
in Slack and feel like a hacker in a Hollywood movie. Cute. In 2025, bots don’t just deploy code they write it, test it, ship it, monitor it, and file tickets when it breaks. Oh, and they apologize in your team’s tone of voice.
Welcome to BotOps where AI agents don’t ask for permission; they just do their job better than half the team (no offense, Steve from QA).
LLMs in your pipelines
Large Language Models (LLMs) have gone full sysadmin. Your pipelines aren’t just scripted anymore they’re adaptive.
- A failed build? AI suggests the fix.
- Your deployment YAML is misconfigured? It rewrites it.
- Incident in production? AI triages, tags the logs, and even sends a “we’re looking into it” email to customers.
Example: Jenkins now plays nice with GitHub Copilot and OpenAI plugins. Combine that with a vector store of your infra docs, and you’ve got a genius DevOps assistant that knows your stack better than your tech lead.
AI doesn’t replace DevOps. It replaces the 20 tabs you had open while doing DevOps.
Real-world use cases
- AIOps in observability: Dynatrace and New Relic use AI to detect anomalies before they’re noticeable
- Incident response: FireHydrant can now auto-generate postmortems using ChatGPT
- Test generation: LLMs auto-create unit tests for PRs using tools like CodiumAI
These bots don’t just help they’re quietly becoming the first responders in your stack. Some teams even have Slack channels where LLMs respond faster than humans.

But don’t get lazy…
AI is great until it’s not. Like when it deploys to prod at 2AM because someone didn’t train it right. Prompt hygiene and human oversight are the new DevOps must-haves. Trust the bot, but verify its logs.
Bottom line: if you’re not using AI in your pipelines in 2025, you’re either incredibly brave, or still manually debugging with console.log
.
Section 3: gitops is king
yaml is still pain, but at least it’s versioned
Let’s face it GitOps used to sound like some trendy buzzword your senior engineer brought up after a conference. But by 2025, it’s no longer a nice-to-have. It’s the default operating mode for deploying, managing, and recovering everything that matters.
If DevOps was about automation, GitOps is about automation with receipts. Every change is versioned. Every deployment is tracked. Every rollback is just a git revert
away. It's like time travel for your infrastructure minus the paradoxes.
Everything-as-code (and we mean everything)
Infrastructure-as-Code? Old news. Now we’re talking:
- Policy-as-code with tools like OPA
- Monitoring-as-code using Terraform + Grafana
- Pipelines-as-code with Tekton, GitHub Actions, or even Dagger
- Heck, even access control-as-code is becoming a thing (hi Zanzibar-inspired systems)
You declare your intentions in Git, and the system ensures reality matches it. If someone changes it manually? Git slaps it back like, “not today.”
How GitOps changed the game
Let’s walk through what a GitOps flow looks like in 2025:
- You merge your PR CI kicks in, runs tests, builds image
- CD (ArgoCD or FluxCD) picks up the new state from the repo
- It applies the new config to your cluster and watches it like a hawk
- Something drifts? Git re-applies the intended state
- Still broken? Roll back with a simple commit revert
No more, “Uhh, what changed last Friday night?” just git log
and receipts.
GitOps + AI = DevOps magic
Combine GitOps with AI (from Section 2), and you get self-healing infrastructure.
- Anomaly detected in staging? AI submits a pull request to fix the misconfigured autoscaler.
- Infra goes down? Git re-applies the last working config and logs the event automatically.
- Need to audit who changed what and why? Git already knows.
In 2025, AI doesn’t just monitor Git it contributes to it.
Tools ruling the GitOps kingdom
Here are the top players:
- ArgoCD declarative GitOps for Kubernetes
- FluxCD GitOps toolkit with strong ecosystem support
- Terraform Cloud infra versioning and collaboration
- OpenTofu Terraform-compatible open source alternative post-Hashi licensing drama
- Pulumi infra-as-code but with real programming languages
GitOps is no longer just a cool idea. It’s the battle-tested strategy that top engineering teams rely on not just for infra, but for everything-as-code.
Section 4: containers and beyond
docker is still here, but it’s not alone
Containers walked so Kubernetes could run and now, in 2025, we’re sprinting past that too. Docker’s still kicking (like that dependable sidekick who never left), but the DevOps world has evolved into a whole cinematic universe of runtimes, distros, and weird little WebAssembly gremlins.
Let’s unpack what containerization looks like in 2025 spoiler alert: it’s faster, more secure, and more weirdly exciting than ever.
Kubernetes is boring now and that’s great
Kubernetes is no longer “cutting-edge” it’s invisible plumbing. Nobody’s bragging about YAML anymore (ok, maybe still a little), but the real flex is how you abstract Kubernetes away from your devs.
Dev teams now deploy to platforms built on top of Kubernetes like:
- Platform.sh for unified environments
- Garden or Tilt for dev environments
- Porter for PaaS-style workflows on top of K8s
K8s is just the kernel. The magic happens in the layers above it automated provisioning, service meshes, policy engines, and serverless workloads.
The rise of WebAssembly (WASM)
If Docker made it easy to package apps, WASM is making it possible to run them faster, smaller, and literally anywhere. Want your app to run in the browser, in a Lambda function, or on the edge with 30ms latency? WASM’s like, “cool, I got you.”
Why WASM?
- Tiny footprint (less cold start than containers)
- Lightning-fast spin-ups
- Safer (sandboxed execution FTW)
- Language agnostic (Rust, Go, C, etc.)
Companies like Fermyon and Cosmonic are pioneering WASM-native cloud platforms. And guess what? Even Kubernetes supports WASM workloads now via krustlet
. It’s happening.
Distroless and secure by default
Security in 2025 = no more “FROM ubuntu:18.04” memes.
Instead, teams are building:
- Distroless containers minimal attack surface
- eBPF-powered runtime monitors observe syscalls in prod
- Zero trust images verified, signed, scanned (via tools like Sigstore)
Docker isn’t dead but it’s become just one of many options in your deployment toolkit.
WASM vs containers is it a war?
Not quite. WASM doesn’t replace containers it complements them.
Use containers for long-running apps, polyglot stacks, and existing infra.
Use WASM for edge, serverless, plugin systems, and cold-start critical paths.
Think: Docker is Thor. WASM is Spider-Man. Both belong in the DevOps Avengers.
Containers aren’t going away. They’ve just matured. In 2025, the cool kids are building hybrid systems mixing containers, WASM, and Functions-as-a-Service (FaaS) like they’re building the next-gen cloud Voltron.
Section 5: devsecops isn’t optional anymore
shifting left, right, and upside down
Once upon a time, DevOps teams would finish their pipeline, pat themselves on the back, and then someone from security would show up like a final boss saying, “Did you run a vulnerability scan?” In 2025? That narrative is ancient history.
Security is now baked into every layer, from code commits to runtime behavior. Welcome to the age of DevSecOps, where shifting left isn’t enough we’re shifting everywhere.
Security is no longer “someone else’s job”
In modern pipelines:
- Developers write code and write the policies that govern how it run
- CI tools scan for secrets, known vulnerabilities, and license violations automatically
- Production systems have real-time monitoring that alerts you before things explode (hopefully)
This isn’t theoretical. It’s reality. If you’re not building with security-first thinking, you’re playing on hard mode.
What “shift left” looks like in 2025
Here’s what happens the moment you push a PR:
- Linting runs
- Unit tests fire
- Static code analysis flags that insecure
eval()
you sneakily added - SBOMs (Software Bill of Materials) are generated
- SCA (Software Composition Analysis) checks open-source packages
- Secrets detection prevents you from pushing that
.env
file again
All before anyone even reviews your code. Scary? Nah. It’s protection.
DevSecOps tools ruling the stack
These tools are now standard:
- Trivy container vulnerability scanning
- Snyk open-source and dependency scanning
- Checkov infrastructure-as-code misconfig detection
- GitGuardian secret detection and leakage prevention
- Falco real-time security for containers using eBPF
Need real-world proof? In 2023, GitGuardian found 10M+ secrets exposed on GitHub. In 2025, that number’s lower thanks to automated scans that scream at you before you goof.
Don’t just shift left monitor right too
It’s not enough to prevent vulnerabilities. You need runtime protection.
- Is your container doing weird syscalls? Flag it.
- Is an app suddenly writing to
/etc/passwd
? Block it. - Did an intern just curl an unknown domain from production? Fire up your incident response.
This is where tools like eBPF, Sysdig, and Falco shine. They keep your prod clean and your alerts loud.
Security as part of DevEx
Here’s the cool part: good security actually improves developer experience.
- Clear policies → fewer deployment errors
- Consistent feedback loops → fewer bugs
- Real-time detection → less firefighting
Security isn’t the gatekeeper anymore. It’s the co-pilot that keeps you from driving into a volcano.
Section 6: tooling trends in 2025
too many tools, not enough RAM
If DevOps in 2020 was “let’s automate all the things,” then DevOps in 2025 is “let’s stop drowning in 47 overlapping tools and dashboards.” The ecosystem has exploded in both innovation and confusion.
We’ve entered the age of platform consolidation, AI copilots, and a subtle war between “do-it-all” platforms vs. composable pipelines.
Let’s break down the toolscape that matters (and what doesn’t anymore).
From tool soup to developer platforms
Raise your hand if your team once used:
- GitHub + Jenkins + CircleCI + Spinnaker + Datadog + Prometheus + PagerDuty + Notion + Slack + Jira + Terraform + Bash scripts + some secret homegrown CLI? Exactly.
Now? Teams are tired of context switching. That’s why platform engineering is leading to:
- Unified interfaces (hello Backstage)
- Pre-configured golden paths
- Tools wrapped into self-service portals
Think: PaaS meets internal DevOps tooling but without locking you into Heroku 2.0.
AI copilots are everywhere
We covered BotOps earlier, but here’s the tooling twist:
- Dev environments now come with copilots built in
- VS Code and JetBrains IDEs show live infra insights from your CI/CD pipeline
- AI suggests pipeline changes based on previous merge failures
- LLMs explain logs, recommend fixes, and even generate Grafana dashboards
Some tools making this magic:
- Cortex — tracks service maturity with AI
- Fiberplane — collaborative notebooks for incidents
- Harness — AI-powered delivery pipelines
- Dagger — programmable pipelines with real code
- Earthly — CI/CD that runs like code, repeatably and fast
Observability is consolidating (finally)
DevOps teams were once buried under 12 dashboards. In 2025, we’re seeing a trend toward:
- Unified telemetry with OpenTelemetry
- Tools that combine logs, traces, and metrics into one view
- ClickOps alternatives for debugging without jumping tabs
Top observability tools:
- Grafana Cloud
- Datadog
- New Relic
- Chronosphere (for high-scale environments)
Blueprinting for consistency
Big orgs are now building infra blueprints:
- Pre-approved templates for services, databases, environments
- Security baked-in from day one
- Instant sandbox environments with ephemeral infra
Instead of onboarding docs, new devs just click “Create Service” and start coding.
What’s getting left behind
- Custom CI/CD scripts with a million flags? Replaced.
- Jenkins DSL pipelines? Retired like an old cowboy.
- Copy-pasted Terraform configs with no modules? Good luck maintaining that in 2025.
The tools are smarter. The stacks are tighter. The goal isn’t just automation anymore it’s enabling devs to build without waiting on ops or drowning in YAML hell.
Section 7: what’s fading out
Subtitle: the devops graveyard RIP manual SSH
As DevOps evolves in 2025, some practices and tools are quietly vanishing like logs without retention policies. Let’s pour one out for the old-school habits that got us here and then respectfully nuke them from orbit.
Manual config is dead (finally)
Say goodbye to:
- SSH-ing into a prod server to “just tweak something real quick”
- Manually editing
.env
files on live containers - SCP-ing config files like it’s 2012
These practices now trigger instant alerts from your SRE team (and maybe a Slack roast). Everything is declarative, versioned, and automated — or it doesn’t go near prod.
Bash scripts of doom
Once beloved, now deprecated:
#!/bin/bash
echo "Deploying app..."
scp my_code user@server:/prod
sudo systemctl restart app
You know the type. No logs. No rollback. Just chaos and 💥.
In 2025, these have been replaced by:
- Reusable workflows in GitHub Actions
- Containerized jobs in Earthly or Dagger
- Infrastructure modules with built-in tests
The new rule: if your deployment plan fits on a Post-it, it’s probably a bad idea.
Legacy CI tools are phasing out
- Jenkins: Still around, still loved… but most teams are migrating off it due to its maintenance overhead.
- TeamCity, Bamboo, GoCD: Slowly fading into obscurity as cloud-native alternatives take over.
- Homegrown CI platforms? Replaced by managed services with built-in observability, secrets management, and AI hints.
The future is as code, in Git, with zero-click rollbacks.
No more pager roulette
Remember when only one person knew how to fix prod issues? That hero is now… burned out.
Modern DevOps teams:
- Share incident knowledge through AI-generated runbooks
- Use playbooks with context-rich alerts
- Auto-create Slack channels and Jira tickets during outages
- Automate 80% of incident triage with bots
Fun fact: In 2025, if you’re woken up by PagerDuty, it’s actually important.
Documentation > tribal knowledge
Gone are the days of “just ask Sarah how that works.” In 2025:
- Internal docs are synced with Git repos
- Architecture diagrams update automatically
- Even commit messages are auto-enriched by LLMs
No more Slack archaeology to figure out why a Terraform script was changed at 3AM in 2021.
We’ve outgrown the chaos era. DevOps in 2025 is calmer, cleaner, and built to scale. The tools of the past got us here but it’s time to let them rest.
Section 8: remote-first + devops = new work culture
shipping code across 6 time zones with zero meetings
DevOps didn’t just survive the remote work revolution it leveled up. In 2025, remote-first culture and DevOps are fused at the DNA level. Teams are distributed across continents, but pipelines move faster than ever, all thanks to automation, async tooling, and some serious culture rewiring.
And no, you don’t need another Zoom stand-up to ship to production.
Async is the new real-time
Gone are the days of “Did you deploy that yet?” messages in Slack.
Now:
- GitHub PRs include deployment previews, test coverage, security scores, and AI-generated summaries
- Code review happens asynchronously with contextual bots (e.g., “Hey, this line increased response time by 15ms”)
- Infra changes are discussed in collaborative docs (like Fiberplane) not in calls
Async tools = fewer meetings, more meaningful code.
Observability replaces status meetings
Why jump on a call to ask “how’s staging looking?” when your dashboard already knows?
In 2025:
- Real-time Grafana boards are shared team-wide
- Incident timelines are auto-logged for retrospectives
- GitHub checks tell you more than your PM ever did
No meeting? No problem. Your dashboards have receipts.
DevOps on the beach (literally)
One of the weirdest flexes in 2025: shipping to prod from vacation.
- Your platform self-heals
- Your alerts are smart (not noisy)
- Your AI assistant files the Jira ticket and starts the rollback before you even finish your mojito
This isn’t fiction distributed SRE teams at companies like GitLab, Zapier, and Basecamp already run this way.
Culture = autonomy + clarity
The best DevOps teams in remote-first companies:
- Write clear runbooks and PR descriptions
- Treat onboarding as product onboarding
- Use bots to enforce consistency without annoying humans
- Measure delivery with lead time, not face time
Micromanagement is gone. Automation enforces structure while humans focus on collaboration and creative problem-solving.
Mental health matters (finally)
Burnout used to be the badge of DevOps. Now it’s a red flag.
In 2025:
- On-call rotations are smaller and smarter
- Incident tooling is humane and transparent
- Teams normalize saying “I don’t know”
- DevEx includes work-life balance not just fast deploys
Remote-first DevOps isn’t just productive it’s sustainable.
Section 9: skills you actually need in 2025
you’re more than a yaml monkey
Let’s be real knowing how to write a Kubernetes deployment file from memory was a flex… in 2020. In 2025? It’s still important, but it won’t make you stand out.
Today’s DevOps engineers need to go beyond tools. You’re not just writing pipelines you’re shaping platforms, influencing developer experience, and collaborating with AI agents that occasionally break production with shocking confidence.
The new core skills
Here’s what matters now:
1. Platform thinking
You’re not building “one-off” infra anymore you’re crafting reusable developer experiences.
Think:
- How do other teams onboard fast?
- Can you turn your CI config into a template for everyone?
- How do you abstract complexity behind a clean interface?
2. AI prompting and evaluation
LLMs are your new teammates and they need good instructions.
You should know how to:
- Prompt AI to generate deploy scripts or test cases
- Evaluate AI output (don’t just blindly commit!)
- Use tools like GitHub Copilot, Cody, or ChatGPT plugins effectively
TL;DR: If you don’t know how to talk to bots, you’re going to be managed by them.
3. System design + debugging
Sure, YAML matters. But understanding why your service crashed at 3AM across three microservices and a Redis cluster? That’s gold.
Know how to:
- Trace logs through distributed systems
- Read flame graphs like a novel
- Architect scalable, observable systems
4. Security by design
Security isn’t a checklist. It’s part of architecture now.
You need to:
- Write secure-by-default IaC
- Understand SAST/DAST output
- Know how to handle CVEs in your stack without panic-Google
5. Soft skills (yes, really)
The DevOps engineer of 2025:
- Documents well
- Collaborates asynchronously
- Onboards new teammates with empathy
- Explains why “no we can’t just deploy it from your laptop” without sounding angry
What you don’t need to memorize anymore
- Every
kubectl
flag - Terraform syntax by heart
- Bash wizardry (thank you, copilot)
- Monitoring dashboards for 15 tools you no longer use
Instead, focus on learning how to learn, building reusable patterns, and asking good questions to humans and AIs.
Bonus: DevOps career paths in 2025
It’s not one-size-fits-all anymore:
- Platform Engineer Builds the golden paths
- SRE Focuses on reliability and scaling
- DevEx Engineer Works on improving the developer experience
- Security Automation Engineer Makes DevSecOps magic
- Infra Developer Builds infra like it’s product code
Pick your lane or switch between them. Either way, you’re no longer “just the DevOps person.” You’re the glue holding the modern software machine together.
Section 10: getting started or leveling up
from junior to 10x without the hustle-culture bs
Whether you’re just stepping into DevOps in 2025 or trying to keep your senior badge shiny, one thing’s clear you don’t need to know everything, but you do need to know how to move smartly.
This isn’t about grinding 14-hour days in your terminal. It’s about using today’s tools, patterns, and communities to get better at a sustainable paceand have fun doing it.
Build your personal DevOps lab
The best way to learn isn’t YouTube tutorials (though shoutout to TechWorld with Nana). It’s building your own broken stuff and fixing it.
Here’s your starter stack:
- k3s or kind for local Kubernetes
- GitHub Actions for CI/CD pipelines
- Terraform or OpenTofu for infra as code
- Trivy for scanning
- Prometheus + Grafana for monitoring
- Backstage or Port for internal tooling exploration
Build a playground repo. Try deploying a static site. Break it on purpose. Monitor it. Then automate the fix.
Learn by contributing
Open source is the university for DevOps now.
Start with:
- First contributions repo
- Projects like ArgoCD, Flux, Earthly, Dagger
- Infrastructure tools that need better docs writing documentation is an underrated DevOps skill
You don’t need to be a 10x YAML wizard. You just need to be willing to ask, break, and fix.
Join a community that doesn’t suck
The lonely DevOps engineer doesn’t last. You need others who can say, “oh yeah, I had that weird Terraform bug too.”
Some great communities in 2025:
- Platform Engineering Slack
- DevOps Discord
- r/devops on Reddit
- HashiCorp Discuss
- The CNCF community spaces (so many great subgroups)
No gatekeeping, no “read the docs” replies just people sharing weird bugs and clever fixes.
Use AI tools to learn faster
You don’t need to memorize every CLI flag. In 2025, your best study buddy is:
- ChatGPT (train it on your repo)
- GitHub Copilot for pair programming
- Continue.dev (LLM inside VS Code)
- Cody by Sourcegraph for explaining large codebases
Ask questions, challenge their answers, and use them like your own Socratic DevOps assistant.
✨ And remember…
You don’t need to “catch up.” You need to build your reps.
- Focus on patterns, not just tools
- Automate your boring tasks first
- Document everything it makes future-you smarter
Whether you’re a junior trying to land your first job or a senior tired of duct-taping Jenkins pipelines, there’s room to grow in this new era without the burnout badge.
Section 11: conclusion + helpful resources
devops isn’t dead it just evolved into something smarter (and cooler)
If there’s one thing 2025 has made crystal clear, it’s this: DevOps is no longer about tools it’s about enablement.
You’re not the deploy monkey anymore. You’re the platform architect, the automation artist, the security-first builder, and maybe even the AI whisperer.
Let’s recap what this new era looks like:
- DevOps mindset has shifted from “just deploy it” to building internal platforms that scale
- AI is your co-engineer, debugger, and observability buddy
- GitOps is now table stakes everything-as-code, or GTFO
- Containers are evolving fast, with WASM and distroless rising
- Security is embedded into every commit and container
- Tooling is consolidating around better DX, not just shiny dashboards
- Old-school practices like manual SSH and Bash-only pipelines are on their way out
- Remote-first teams are crushing it with async ops and humane workflows
- You need to learn systems thinking, platform building, and AI prompting more than memorizing CLI flags
This isn’t a scary future it’s a more powerful, more efficient, and more human-friendly one.
You’ll ship faster, sleep better, and maybe just maybe finally understand how the observability stack fits together.
Helpful resources for your 2025 DevOps journey
Want to dig deeper? Start here:
- https://roadmap.sh/devops Updated DevOps learning path
- https://platformengineering.org Platform engineering patterns + community
- https://cncf.io/projects CNCF landscape, from GitOps to WASM
- https://learnk8s.io/blog Real-world K8s strategies and breakdowns
- https://earthly.dev Modern CI that runs like code
Final thought
DevOps in 2025 isn’t about pushing buttons it’s about designing systems that push themselves (safely).
And if you’re still reading this? You’re already ahead of 90% of LinkedIn’s DevOps “thought leaders.”
So go build something. Automate something. Break something responsibly.
Then ship it, document it, and let AI make a PR to fix your typo.
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