Filtering health checks from observability data feels wrong… is it actually right?

Recently, I was trying out different optimisations to reduce observability noise from my app in my OpenTelemetry collector.

Ofc, one of the first methods that came up was filtering, and almost everywhere the examples given were on filtering health checks and synthetic monitoring calls.

When I read this I was confused. The point of health check calls (afaik) is to check the liveness of a service and if it's up, right? Isn't that a crucial metric to observe? Why would I filter that and discard it as noise?

Went down the rabbit hole a bit and realised the answer is more about **noise vs signal**:

* Health checks (like `/health`) usually get called every few seconds per pod, across dozens/hundreds of services.
* If you're capturing traces, logs, or metrics for every one of those probes, you're just generating **tons of repetitive, low-value telemetry** that becomes noisy and heavy on your pocket, without adding any meaning.
* **Most modern observability setups (especially Kubernetes environments) already track pod liveness probes separately, ie, you get infra metrics like "pod up/down", "readiness failures" without needing to generate extra spans or logs every time a health check hits.**

The last reason is why we usually filter out health check calls from the APM level and leave it to the infra level. Also, makes sense as to why filtering health checks is always just cutting down the noise.

I'm writing a blog on cutting observability costs (putting my observations into perspective) and would love to know if you also aggressively filter these calls or if you just are meh about it.





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

New to DevOps – Need Guidance from Senior Engineers (Have Free Access to Coursera)

Hey folks,

I'm just starting my DevOps journey and could really use some advice from those of you who are further down the path—especially senior DevOps engineers.

I recently got access to a Coursera license through my school, and I want to make the most of it while I can. There's a ton of content out there (certs, courses, tools, cloud providers, etc.), and honestly, it's a bit overwhelming.

What would you recommend I focus on first? I see things like Docker, Kubernetes, Jenkins, Terraform, AWS, GCP, CI/CD, etc., thrown around a lot. But I want to build a solid foundation without spreading myself too thin or wasting time on stuff that's not as relevant early on.

If you were starting over today, knowing what you know now, what would your roadmap look like?
Also, any Coursera-specific courses or certs you'd strongly recommend?

Really appreciate any input. Thanks in advance!

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

OneUptime: Open-Source Incident.io Alternative

OneUptime (https://github.com/oneuptime/oneuptime) is the open-source alternative to Incident.io + StausPage.io + UptimeRobot + Loggly + PagerDuty. It's 100% free and you can self-host it on your VM / server. OneUptime has Uptime Monitoring, Logs Management, Status Pages, Tracing, On Call Software, Incident Management and more all under one platform.

Updates:

Native integration with Slack: Now you can intergrate OneUptime with Slack natively (even if you're self-hosted!). OneUptime can create new channels when incidents happen, notify slack users who are on-call and even write up a draft postmortem for you based on slack channel conversation and more!

Dashboards (just like Datadog): Collect any metrics you like and build dashboard and share them with your team!

Roadmap:

Microsoft Teams integration, terraform / infra as code support, fix your ops issues automatically in code with LLM of your choice and more.

OPEN SOURCE COMMITMENT: Unlike other companies, we will always be FOSS under Apache License. We're 100% open-source and no part of OneUptime is behind the walled garden.

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

Nix and NixOS

I was getting overwhelmed by using dotfiles to provision my own local dev machines, so tried out Nix (run on Ubuntu). I really like the way they do things, but it's a bit of a learning curve. Maybe I'm gonna try switch to NixOS for a while.

But thinking in terms of the future, it doesn't seem so universally adopted like Docker and Wasm. Is it really useful to learn NixOS? Or better to just use Docker?

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

Kubernetes Cluster usage correct or not?

I'm a devsecops intern and in our company we are given access to the k8s cluster like this :

After connecting to the company's vpn, me and other devsecops intern need to ssh to one of the 3 master nodes in cluster via a user 'intern' and then I can run kubectl commands from there..


I want to ask if that's the best way to work on the cluster? Isn't supposed that I can talk to cluster from my machine withou having to ssh to the master node?

https://redd.it/1kav8tq
@r_devops

Issue establishing connect with application developed locally via corporate VPN

1. We are able to establish a connection to a certain domain via a web browser via the VPN.
2. Is it possible to export the certificate from the browser and then import them into the application and expect the application that is developed locally to make a connection there?

https://redd.it/1kb3tmn
@r_devops

Which Alertmanager do you recommend?

I am looking for a service that imports multiple data sources and has a centralized Alertmanager.

The service I found so far is incident.io, but it has the problem that you can't customize Slack alert messages, so I can't use it.

Are there any other good services?

https://redd.it/1kb7ige
@r_devops

Is this is most comprehensive devsecops course out there

I am thinking about taking the SANS GCSA (https://www.sans.org/cyber-security-courses/cloud-native-security-devsecops-automation/ )course ( sponsored by my job) I have about 2 years experience in IT and one year of software engineering have good understanding of fundamentals of GitHub and pipeline. I am trying to get into devops I was wondering whether we are allowed to put the projects from this course on our resume and can we do them on how personal GitHub. And also would it be comprehensive enough to help me break into devsecops.

https://redd.it/1kb8emv
@r_devops

Internal Developer Platform (IDP)

Hey folks,
Have you implemented IDP on your org, if so, could you please share the tool used, challenges, pros and cons?

https://redd.it/1kbahq5
@r_devops

How to start on DevOps?

I work as a Cloud Infrastructure Engineer (I deploy the whole infra from VMs, Managed services etc on cloud providers like AWS, Azure, GCP)

I want to move into a DevOps role now. Where should I start and also suggest on ways I can start in a practical way as I like learning things practically than going through endless videos.

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

Can we start another r/devops that isn't just people asking about how to get a DevOps job?

My impression of this community is that it's largely dominated by:

* People asking how to get a DevOps job
* People complaining that the business doesn't "Get DevOps"
* Infrastructure (acknowledging that infrastructure is an important part of DevOps)

What I was expecting when I joined this community:

* Discussion on the suitability of IaC after 10+ years and the need for CDK's or other alternatives.
* Discussion on managing microservices at scale, loosely coupled architecture's, DAPR, etc..
* Team topologies, shift towards platform engineering, and general team anti patterns
* etc.

[https://en.wikipedia.org/wiki/No\_true\_Scotsman](https://en.wikipedia.org/wiki/No_true_Scotsman)

https://redd.it/1kbcnm9
@r_devops

Kamatera Review: My Honest Experience After Trying Their Free Trial

If you’re searching for a cloud hosting provider and came across Kamatera, you’re probably wondering whether it's really worth it. I had the same question before I signed up, and now that I’ve personally used it, here’s my full Kamatera review based on real experience — including their generous 30-day free trial.

**Why I Chose Kamatera**

After trying several cloud hosting services like DigitalOcean and Vultr, I stumbled upon [Kamatera](https://www.kamatera.com/free-trial/). What immediately stood out was their **free 30-day trial**, which includes **$100 in credits** no strings attached. That was more than enough for me to test out the platform and see if it could meet my project’s needs.

As someone who runs web-based apps and occasional testing environments for clients, I was looking for:

* High-performance cloud servers
* Flexible configuration
* Easy scaling
* Reasonable pricing
* Reliable customer support

Kamatera delivered on all fronts.

**Setting Up My Cloud Server**

The onboarding process was surprisingly smooth. After a quick verification call (standard for security), I was inside the Kamatera dashboard. The interface is **clean, fast, and intuitive**, and within minutes I had launched my first cloud server.

You can choose from dozens of configurations — Linux, Windows, various data centers (they have 18+ globally), and even granular control over CPU, RAM, and storage. I spun up an Ubuntu 22.04 server in a New York data center with 2 vCPUs, 4GB RAM, and 50GB SSD — and it was **blazing fast**.

**Performance That Speaks for Itself**

Once the server was live, I installed my web application and began testing performance. I was impressed:

* **Page load speeds were consistently under 1 second**
* No downtime throughout the 30-day period
* CPU and RAM usage remained very stable, even under moderate traffic

I also ran some benchmarking tools like Apache Benchmark and GTmetrix, which showed significant improvements compared to my previous provider. For developers or startups needing **low-latency and high-availability hosting**, Kamatera is a serious contender.

**Support That Actually Helps**

Here’s where Kamatera really surprised me: their **24/7 live chat support** is excellent. I reached out twice — once for a firewall configuration question and another time for help resizing the server. Both times, I got connected with a real human in under 2 minutes, and the issue was resolved quickly.

In a world full of bots and slow ticket systems, this felt like a breath of fresh air.

**Transparent Pricing**

After my trial, I decided to stick with Kamatera — and the pricing was still reasonable. They offer **hourly and monthly billing** options, with full transparency. No hidden fees, and you can scale resources up or down anytime.

If you need a cost-effective yet powerful alternative to AWS, Azure, or GCP — Kamatera is well worth considering.

**Final Verdict: Is Kamatera Worth It?**

Absolutely. Based on my hands-on experience, I can confidently say Kamatera offers:

* Fast and customizable cloud servers
* An easy-to-use platform
* Fantastic support
* Fair pricing
* And a risk-free trial

Whether you're a developer, startup founder, or even running a small business — Kamatera gives you the flexibility and performance you need.

**Try it for yourself with their** [**30-day free trial**](https://www.kamatera.com/free-trial/) and see the difference.

https://redd.it/1kbd6al
@r_devops

Do you actually know where the name Ansible comes from?

I found out in a very natural way. While reading “The left hand of darkness” (1969!) by Ursula K. LeGuin I stumbled upon it and then researched where it comes from.

It is a rather important device in LeGuins “Hainish cycle”, used for intergalactic communication (and therefor stabilizing the vast expanse of the Hainish territory).

I love nerdom so much.

https://redd.it/1kbdgj9
@r_devops

Expose home server with Rathole tunnel and Traefik

I wrote a straightforward guide for everyone who wants to experiment with self-hosting websites from home but is unable to because of the lack of a public, static IP address. The reality is that most consumer-grade IPv4 addresses are behind CGNAT, and IPv6 is still not widely adopted.

Code is also included, you can run everything and have your home server available online in less than 30 minutes, whether it is a virtual machine, an LXC container in Proxmox, or a Raspberry Pi - anywhere you can run Docker.

I used Rathole for tunneling due to performance reasons and Docker for flexibility and reusability. Traefik runs on the local network, so your home server is tunnel-agnostic.

Here is the link to the article:

https://nemanjamitic.com/blog/2025-04-29-rathole-traefik-home-server

Have you done something similar yourself, did you take a different tools and approaches? I would love to hear your feedback.

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

Built a fun Java-based app with Blue-Green deployment strategy on kubernetes

I finished a fun Java app on EKS with full Blue-Green deployments that is automated end-to-end using Jenkins & Terraform, It feels like magic, but with more YAML and less sleep...

Code, Diagram, YAML, and deployment drama live here: GitHub Repo

Stack:

Infra: Terraform

CI/CD: Jenkins (Maven, SonarQube, Trivy, Docker, ECR)

Kubernetes: EKS + raw manifests

Deployment: Blue-Green with auto health checks & rollback

DB: MySQL (shared)

Security: SonarQube & Trivy scans

Traffic: LB with auto-switching

Logging: Not in this project yet


Pipeline runs all the way from Git to prod with zero manual steps. Super satisfying! :)

I'm eager to learn from your experiences and insights! Thanks in advance for your feedback :)



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

SST vs Pulumi for CGP + Python + React?

I'm traditionally a frontend dev but doing everything now I've joined a tiny startup. We're using GCP, Python and React.

I set everything up with Terraform. It's working but I only have my local dev environment and production. To do a release I have to manually build docker images, update the Terraform config and run `terraform apply`. 

I want to have PR branches built automatically when I push up changes, and production deployed when I merge to master. 

I'd also love code completion and type safety in my infrastructure as code. Even though the backend is Python I’d rather use TypeScript for this as I know it better. 

It seems like SST and Pulumi are the options for upgrading my set up? Is there a big difference between them? I know SST is built on Pulumi, but not sure how different the features / DX is?

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

What’s the value of kagent?

Read TLDR today and saw the part about the new kagent project: https://kagent.dev/docs/examples/documentation

I’ve written scripts to interrogate metrics before and do actions, what’s the actual value of this to us folks in dev/ops, and what would I actually need AI to know about my cluster that a script couldn’t already figure out itself?

https://redd.it/1kbk5vi
@r_devops

What networking questions should a fresher DevOps engineer expect in interviews?


Hey folks,
I'm preparing for DevOps engineer interviews as a fresher and want to get a solid grasp on the networking side of things. I understand that networking is a key skill for DevOps, but I’m not sure what kind of questions are commonly asked at the entry level.

Could anyone share the typical networking topics or specific questions that I should prepare for? Things like DNS, HTTP, ports, firewalls, etc.?
Any tips, resources, or personal interview experiences would be super helpful!



https://redd.it/1kbk2a2
@r_devops

Cut FAT/SAT Reporting Time by 95%: How GHS Accelerated Production with Skedler

Discover how Green Hydrogen Systems automated FAT/SAT reports from Grafana without coding, screenshots, or expensive upgrades.

Read More

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

Are there any services for AI-Agents to setup Webhooks?

I used low/no-Code platforms where I'd setup a webhook to trigger an agent, or for an agent to send something forward, but it's always me who has to set it up in the browser. Why not let the agent do that by itself as well? I haven't seen it much (maybe there is, I just haven't seen) which it is surprising since Mcp servers (which are just agent-focused APIs) are all the rage right now

https://redd.it/1kbnz7u
@r_devops

Calling all founders - Help validate an early stage idea - helping AI developers go from fine tuned AI model to product in minutes

We’re working on a platform thats kind of like Stripe for AI APIs. You’ve fine-tuned a model. Maybe deployed it on Hugging Face or RunPod.

But turning it into a usable, secure, and paid API? That’s the real struggle.

Wrap your model with a secure endpoint
Add metering, auth, rate limits
Set your pricing
We handle usage tracking, billing, and payouts

It takes weeks to go from fine-tuned model to monetization. We are trying to solve this.

We’re validating interest right now. Would love your input: **https://forms.gle/GaSDYUh5p6C8QvXcA**

Takes 60 seconds — early access if you want in.

We will not use the survey for commercial purposes. We are just trying to validate an idea. Thanks!

https://redd.it/1kbqa5b
@r_devops