In a conundrum after a layoff. I feel like my experience is too broad and not specialized enough. Help?

I was recently laid off from a DevOps role I held for almost 4 years, and I'm struggling to understand what employers are actually looking for. My experience spans Jenkins, Nomad, AWS, ELK, DataDog, VMWare, Foreman, Kubernetes, Docker, Linux sys admin, and programming in Ruby, Python, and Bash. I thought this breadth would be an asset, but I'm starting to worry it's working against me.

Recent rejections have left me confused about my positioning:

* Rejected from a platform engineer role because I lacked traditional software engineering experience contributing directly to a product
* Rejected from an observability engineer position for insufficient DataDog experience (despite having used it)
* Likely about to be rejected from another role because my AWS experience apparently isn't deep enough

I don't consider myself a novice in these technologies, I'm confident I can handle most tasks they'd throw at me, with some research for the more complex scenarios. But that doesn't seem to be enough.

I'm genuinely at a loss. Is this just the current market allowing hiring managers to be incredibly selective? Or am I delusional in thinking my level of knowledge is sufficient? Should I have achieved complete mastery of each tool to the point where I can discuss intricate edge cases without preparation?

Any advice or perspective would be appreciated.

https://redd.it/1omvegl
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DevOps IT Professional Program from Linux

did anyone try DevOps IT Professional Program course from the Linux Foundation ?
if so, how was it?
worth it?
hard ?
did you get certs at the end?



https://redd.it/1omvt5r
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Any way to test mobile browsers with system-level permissions?

Need to test camera/mic access in mobile Safari + Chrome. Emulators fake it, real devices needed. Short of buying phones, any ideas?

https://redd.it/1omwyx0
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Stuck at service based company as a DevOps Engineer, seeking for guidance!

Hey I am 2025 fresher, I have contributed in many internships and also done some good projects, but I have stuck in mid size service based company, were salary is too low and growth and opportunities also, people working in maang or other good companies like Redhat, rubrik, calonical etc, please guide me how can I be there, my resume is cooked as of now coz of this company and I need to stay here for atleast one year, as market is also cooked there are very few infra realted job postings for fresher. Please guide me

https://redd.it/1on01vl
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Looking for guidance or help with The Cloud Resume Challenge (Azure Edition)

I’ve noticed a few folks here completed The Cloud Resume Challenge (Azure Edition) — that’s really impressive! I’m planning to start the same challenge. If you’re comfortable, would you be willing to Lend your copy of book for a short time.

https://redd.it/1on3b7n
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How can I improve my Kubernetes and cloud skills

Basically, that’s it.
I have little to no experience with Kubernetes or cloud technologies. I wasn’t involved in any meaningful work with either of them in my previous roles. I’m currently unemployed and would love to gain some real, hands-on skills with both Kubernetes and AWS. Could you recommend any projects that would help me gain practical knowledge?

https://redd.it/1on5cjn
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Which Azure cert begin with and is it hard for someone who has 8 years experience as a Data Engineer?

Im looking to get a cert in Azure just to get it and make any future jobs that require Azure easier and less stressful and these certs seems valuable af. My last job were trying to hire like 4 people with 5 years of general experience in data development but they had to have a azure cert and oh man our higher ups set up a pedestal for anyone who had this and tbh when I was training them I could tell they did not have 5 years of data development. But
Im pretty knowledgeable in everything data as I can confidently say I mastered Azure ADP's predecessor called SSIS already as working as an ETL Dev for most of my career was my bread and butter,

Question is Do I have to do azure certs in order or can I pick either the mid on and start studying from there? What would you reccommend?




Edit: they did not have 5 years of general experience

https://redd.it/1on6n95
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Concentric AI - Devops engineer interview

I have an interview with Concentric AI for the role of DevOps Engineer. My profile shows 4+ years of experience in DevOps, but to be honest, most of my work has been around setting up simple CI/CD pipelines (built from scratch). I don’t have much hands-on experience with cloud technologies.

What should I expect from the interview, and how should I prepare?
Can someone please help?

https://redd.it/1on6frl
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Clarity from an experienced cloud architect/DevOps engineer

How secure is path-based routing and is it industry standard for a 3-tier cloud native application that makes use of ECS and CodePipeline for CI/CD?

https://redd.it/1on8nuk
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From Linux System Engineer to DevOps - Looking for Advice and Experiences

Hi everyone, I’ve wanted to transition into DevOps for a long time, but I only started seriously working toward it in February this year, building up the necessary skills. In the meantime, I received an offer to work as a Linux System Engineer, and I’ve been in that role for about four months now. I accepted it thinking it would help me transition to DevOps because of the skill similarities. Before that, I completed a three-year System Administrator apprenticeship here in Germany (“Ausbildung zum Fachinformatiker für Systemintegration”), where I mainly worked with Windows servers until the company introduced a deployment pipeline for its software. Unfortunately, the only overlapping skills in my current role are noscripting and Linux. The rest, Ansible, Kubernetes, CI/CD pipelines, etc. are not part of my job. I recently told my boss that I had expected more hands-on work with tools like Ansible and Terraform, and I asked whether there’s a way for me to transition internally to a DevOps position or possibly take on a new DevOps-focused role. Has anyone here gone through a similar transition? If so, I’d really appreciate hearing your detailed experience and any good tips you might have.

https://redd.it/1onacpn
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We had perfect observability but still struggled during incidents. Here's what fixed it

We built a solid observability stack. OpenTelemetry pipelines, unified metrics, logs, traces. Beautiful Grafana dashboards. Everything instrumented. We could see everything.

But when incidents hit, we still struggled. Alerts fired, but we didn't know: is this severe? What do we do? Who should respond? Everyone had different opinions. "2% error rate is fine" vs "2% is catastrophic." We were improvising every time.

The missing piece wasn't technical. It was organizational. We needed SLOs to define what "working" means (so severity isn't subjective), runbooks to codify remediation steps (so response isn't improvisation), and post-mortems to learn from failures systematically (so we don't repeat mistakes).

Here's what actually worked for us:

SLOs: We use availability SLIs from OpenTelemetry span-metrics in Prometheus. We calculate percentage of successful requests by comparing successful calls (2xx/3xx) against total calls for each service. This gives us availability. We set 99.5% as our SLO, which creates a 0.5% error budget (14.4 hours downtime per month). Now we know when something is actually broken, not just "different." When we're burning error budget faster than expected, we slow feature releases.

Runbooks: We connect runbooks directly to alerts via PagerDuty. When an alert fires, the notification includes what's broken (service name, error rate), current vs expected (SLO threshold), where to look (dashboard link, trace query), and what to do (runbook link). The on-call engineer clicks the runbook and follows steps. No guessing, no Slack archaeology trying to remember what worked last time.

Post-mortems: We use a simple template: Impact (users affected, SLO impact), Timeline, Root Cause, What Went Well/Poorly, Action Items (with owners, priorities P0-P2, and due dates). The key is prioritizing action items in sprint planning. Otherwise post-mortems become theater where everyone nods, writes "we should monitor better" and changes nothing.

After implementing these practices, our MTTR dropped by 60% in three months. Not because we collected more data, but because we knew how to act on it.

I wrote about the framework, templates, and practical steps here: From Signals to Reliability: SLOs, Runbooks and Post-Mortems

What practices have helped your team move from reactive firefighting to proactive reliability?

https://redd.it/1ona979
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How are you enforcing code-quality gates automatically in CI/CD?

Right now our CI just runs unit tests. We keep saying we’ll add coverage and complexity gates, but every time someone tries, the pipeline slows to a crawl or throws false positives. I’d love a way to enforce basic standards - test coverage > 80%, no new critical issues - without babysitting every PR.

https://redd.it/1onb20l
@r_devops

Combining code review and SAST results - possible?

Security runs their scans separately, devs review manually, and we’re constantly duplicating effort. Ideally, reviewers should see security warnings inline with the code diff. Has anyone achieved that?

https://redd.it/1ona5yo
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Anyone using AI for pull-request reviews yet?

Copilot is fine for writing code, but it doesn’t help during reviews. I’m wondering if anyone has used AI that can actually review a PR - like summarize changes, highlight risky logic, or point out missing edge cases.

https://redd.it/1onfv66
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PostMessage Vulnerabilities: When Cross-Window Communication Goes Wrong 📬

https://instatunnel.my/blog/postmessage-vulnerabilities-when-cross-window-communication-goes-wrong

https://redd.it/1onbbod
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AI is a Corporate Fad where I work

The noscript says it all. In my workplace (big company) we have non-technical decision makers asking for integrations of technology that they don't understand with existing technologies that they don't understand. What could go wrong financially?

My only hope is that this fad replaces the existing fad of hiring swaths of inexpensive out of town engineers to provide "top notch" solution design that falls flat at the implementation phase.

What's your experience?



https://redd.it/1onilgi
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Gprxy: Go based SSO-first, psql-compatible proxy

https://github.com/sathwick-p/gprxy

Hey all,
I built a postgresql proxy for AWS RDS, the reason i wrote this is because the current way to access and run queries on RDS is via having db users and in bigger organization it is impractical to have multiple db users for each user/team, and yes even IAM authentication exists for this same reason in RDS i personally did not find it the best way to use as it would required a bunch of configuration and changes in the RDS.

The idea here is by connecting via this proxy you would just have to run the login command that would let you do a SSO based login which will authenticate you through an IDP like azure AD before connecting to the db. Also helps me with user level audit logs

I had been looking for an opensource solution but could not find any hence rolled out my own, currently deployed and being used via k8s

Please check it out and let me know if you find it useful or have feedback, I’d really appreciate hearing from y'all.

Thanks!

https://redd.it/1oni3df
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Just got $5K AWS credits approved for my startup

Didn’t expect this to still work in 2025, but I just got **$5,000 in AWS credits** approved for my small startup.

We’re not in YC or any accelerator just a verified startup with:

* a **website**
* a **business email**
* and an actual product in progress

It took around 2–3 days to get verified, and the credits were added directly to the AWS account.

So if you’re building something and have your own domain, there’s still a valid path to get AWS credits even if you’re not part of Activate.

If anyone’s curious or wants to check if they’re eligible, DM me I can share the steps.

https://redd.it/1onmg20
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Migrating from Octopus Deploy to Gitlab. What are Pros and Cons?

Due to reasons I won't get into, we might need to move from Octopus Deploy to Gitlab for CICD. Trying to come up with some pros and cons so I can convince management to keep Octopus (despite the cost). Here are some of pros for having Octopus that I have listed:

Release management.
If we need to roll back to a previously functioning version of our code, we can simply click on the previous release and then leisurely work on fixing the problem. (sometimes issues aren't always visible in QA or Staging). Gitlab doesn't seem to have this.
Script Console
Octopus lets us send commands (eg, iisreset) to an entire batch of VMs in one shot instead having to write something that would loop through a list of VMs, or God forbid, remoting into each VM manually. GitLab doesn't seem to have that either. This comes in really handy when we need to quickly run a task in the middle of an outage.
Variable Management and Substitution
Scoping variable with different values seem to be handled much better in Octopus compared to GitLab. Also I could not find anything that says you can do variable substitution in your code for files like .config, .json files. No .NET variable substitution either in Gitlab.
Pipeline Design
Gitlab pipeline seems to be all YAML which means a lot of the tasks that Octo does for you, like IIS configuration, Kubernetes deployments, etc., will have to noscripted from scratch. (Correct me if I'm wrong on this).

These some of the Pros of Octopus I could think of. Are there any more I can use to back up my argument.
Also is there anyone who went through the same exercise? What is your experience using Gitlab after having Octopus for a while?

https://redd.it/1onlv3s
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Curious how folks are feeling regarding ethics in the current political climate with regards to tech?

I'm asking the question in this sub on the basis that people have to have a reasonable level of experience to be in this field across disciplines. (I did the helpdesk - Sysad - DevOps route, for context I started that journey in the late 90s).

If not allowed (I understand politics is a sensitive subject) I will completely understand mods removing the post.

I'm between contracts at the moment, and in the last decade at least, whenever I'm not working I get offers to work for "gaming" (gambling) sites that I always turn down... I have a number of friends who wrecked their lives through gambling addiction - I wouldn't feel comfortable taking that paycheck.

(I'm not shitting on people who do, I get it. No judgement... Just a personal thing on my part).

I recently watched a pretty in-depth breakdown of the facial recognition AI stuff being trialled in the US (additional context, I'm not American nor do I live there anymore, but it's fair to assume it's coming everywhere soon), but I have previously worked for a number of US companies, including at least one that I know is involved in stuff that makes me feel pretty uncomfortable about the way the technology is progressing, and importantly, the things it is being used for.

I suppose I'm speaking more to the greybeards and grey hats in this community - but I'm curious to gauge how folks are feeling about developing and supporting this kind of thing?

https://redd.it/1onpv8x
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The APM paradox

I've recently been thinking about how to get more developers (especially on smaller teams) to adopt observability practices, and put together some thoughts about how we're approaching it at the monitoring tool I'm building. We're a small team of developers who have been on-call for critical infrastructure for the past 13 years, and have found that while "APM" tools tend to be more developer-focused, we've generally found logging to be more essential for our own systems (which led us to build a structured logging tool that encourages wide events).

I'm curious what y'all think — how can we encourage more developers to learn about observability?

https://www.honeybadger.io/blog/apm-paradox/

https://redd.it/1onmrnj
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