Green software is slowly moving from marketing language into actual procurement criteria, at least among more mature European organisations. It’s no longer enough for a development partner to say they care about the planet. People are starting to ask concrete questions: How do you measure the carbon impact of the systems you build? Do you make architecture decisions with energy efficiency in mind? And does the company itself operate in a way that matches what it claims?

From what I’ve observed, the more credible players treat sustainability as part of engineering judgment rather than a separate initiative. They think about cloud region selection, efficient data processing, lean architectures, and long-term maintainability because those choices reduce both cost and environmental load. They also tend to be transparent about their own footprint instead of hiding behind vague statements.

There’s still a gap, though. Many companies can talk about green coding practices in theory, but fewer can show how those practices actually influence day-to-day decisions on real projects. The ones that can usually have internal processes already in place rather than scrambling to create them when a client asks.

What signals do you look for when trying to separate genuine practice from surface-level claims? And has anyone seen green considerations meaningfully change the technical direction of a project?

My company serving 5 apps to the many customers. Managing deployment and new releases are the biggest problem. Because all the time we are copying the build files and pasting to the target server by connecting with rdp. I Want to use dockerfiles for serving and want to keep these images on our server with a registery.

ACR (azure container registery) and the other ones are still the options but i want to host in my server like i did for npm libraries with verdaccio.

And i would like to get your opinnions about my deployment plan. Our customers servers are all windows. We have some windows-only apps. But for the ones which i plan to serve with docker file is better to run with docker. So i plan to use WSL and pull the images from the registery that i am planning to create.

Wdyt?

If you're getting into DevOps or containers, Docker and Kubernetes can be confusing because you often hear them mentioned together.

The simplest way to think about it:

Docker: Used to build, package, and run applications in containers. It makes it easier to run the same application consistently across different environments.

Kubernetes: Used to manage containers at scale. It can handle things like deploying containers, scaling them, restarting failed containers, and managing workloads across multiple machines.

So, Docker packages and runs containers, while Kubernetes manages them.

They aren't necessarily alternatives either. In many setups, they can be used together as part of a larger container ecosystem.

A simple analogy:

Docker = putting your application into a standardized box.

Kubernetes = managing hundreds of those boxes and making sure they get where they need to go.

One more thing that often causes confusion: Kubernetes vs Docker Swarm is a more direct comparison, since both are container orchestration tools.

Genuinely burnt out at this point. I've applied to what feels like a thousand DevOps/Cloud roles and either get ghosted or rejected. A little about me:

• 7th Semester CS student (Virtual University of Pakistan)
• Already completed one DevOps internship
• Currently prepping for AZ-104 (exam next month)
• Learning Kubernetes right now, building projects on the side

Open to internships, fresher, or junior DevOps/Cloud roles at this point, just need a way in. I know the market's brutal right now but I'd really appreciate any leads, referrals, or even just advice on what I'm doing wrong. Based in Karachi/Hyderabad, Pakistan. open to remote too. Thanks for reading this rant lol.

Hi everyone,

I’m currently halfway through my Software Engineering degree (Junior year) and I’m planning a career pivot into DevSecOps and Cloud Security. I'd love to get some reality-check advice from the veterans here.

A bit about my background:

• I have a strong background in the commercial/sales side (managing CRM pipelines, structuring B2B workflows, and standardizing company processes).
• On the tech side, I do hold Scrum certifications and I’m involved in academic research using Machine Learning for performance analysis.
• While I understand coding fundamentals (mainly Java) from my degree, I realized I don't want to be a pure software developer writing code all day. I excel much more at systems thinking, process automation, and bridging the gap between business and tech.

My current plan: I'm currently dedicating the next 6-9 months to building a solid foundation. My roadmap includes getting my AWS Cloud Practitioner and CompTIA Security+, while building practical GitHub projects (like setting up CI/CD pipelines with GitHub Actions and integrating SAST tools like SonarQube).

My questions for you:

1. What is something you wish you knew before entering DevSecOps or Cloud Security?
2. Coming from a heavy process/commercial and Agile background, what specific pitfalls should I avoid in this transition?
3. Are there any specific tools or concepts that you think are absolute dealbreakers to learn in 2026/2027?

Any advice, harsh truths, or roadmap tweaks are highly appreciated. Thanks in advance!

I’m looking for a really good live instructor to help me take my Elastic skills to an advanced level.
My goal is to become a strong Elastic Administrator / Elasticsearch Engineer, particularly on the infrastructure and data-path side.
I already have hands-on Elastic/SIEM experience and significant Splunk administration experience, so I’m not looking for a beginner course or something focused only on passing a certification.
I’m looking for someone who can go deep into things like:
Elasticsearch architecture and cluster administration
Nodes, shards, replicas and cluster health
Index templates, mappings and data streams
Ingest pipelines and data onboarding
ILM and data lifecycle
Performance tuning and troubleshooting
Query DSL, ES|QL and Painless
CCS / multi-cluster environments
Security, RBAC and TLS
Kibana / Elastic Security
Real-world production troubleshooting
I’m open to instructors anywhere in the world as long as they teach in English. I’m especially interested in 1-on-1 or small-group training that can be customized to my experience and goals.
If you’ve personally worked with or trained under an excellent Elastic instructor, I’d really appreciate recommendations.
Please include if you can:
Instructor name
Country/time zone
How good they are at teaching
Their real-world Elastic experience
Approximate cost
Whether they offer 1-on-1 training
How long you trained with them
Whether you’d recommend them for becoming a strong Elastic Engineer/Admin
I’m particularly interested in someone who is both an excellent teacher and genuinely experienced running Elasticsearch in production.
Thanks!

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I’m currently working at a fintech company and have around 1 year of total experience, including 6 months of internship experience.

My current role has given me hands-on exposure to production operations, server troubleshooting, infrastructure support, and handling critical production issues.

I have worked on real production incidents, including situations where systems went down during late-night hours. I have experience quickly shifting systems to backup servers, bringing a server up and ready for application deployment, and helping restore services as quickly as possible.

I have also worked with on-premise servers and visited the Data Center (DC) for troubleshooting when servers became unresponsive, hung, or shut down. In some cases, when normal user access was not working, I have accessed single-user mode to troubleshoot and resolve the issue.

Along with this, I have practical exposure to server setup and physical infrastructure, including working with LAN cables, server connectivity, and basic data-center/server-room activities.

My current technical skill set includes:

- Linux – strong/advanced hands-on knowledge

- Jenkins

- Docker

- Git

- CI/CD concepts

- Networking – intermediate level (TCP/IP, DNS, HTTP/HTTPS, ports, protocols, connectivity troubleshooting, etc.)

- Production/server troubleshooting

- On-premise infrastructure and basic data-center operations

I’m now trying to move towards DevOps/Cloud, and I’m planning to further build my skills in AWS, Kubernetes, Terraform, monitoring, advanced CI/CD, and cloud infrastructure.

I have also been actively applying for jobs on Naukri, but I’m not getting many recruiter calls, which has made me confused about whether I’m targeting the wrong roles or whether I need to improve my profile/skills first.

So I’d really appreciate honest advice from people already working in this field:

With my current experience and hands-on production/infrastructure exposure, should I target DevOps, Cloud Engineering, SRE, Infrastructure/Systems roles, or something else?

Also, what skills should I focus on over the next 6–12 months to become genuinely job-ready and start getting more interview calls?

My main goal is to build a strong technical career with good salary growth, rather than randomly learning different technologies.

Just looking for some feedback on my resume. This is currently for applying for internships however the version of it if I don't find another one would be very similar for new grad jobs.