Hep With Automatically Updating Database and Notification System

Hello. I'm slowly learning to code. I need help understanding the best way to structure and develop this project.

I would like to use exclusively python because its the only language I'm confident in. Is that okay?

My goal:

* I want to maintain a cloud-hosted database that updates automatically on a set schedule (hourly or semi hourly). I’m able to pull the data manually, but I’m struggling with setting up the automation and notification system.
* I want to run scripts when the database updates that monitor the database for certain conditions and send Telegram notifications when those conditions are met. So I can see it on my phone.
* This project is not data heavy and not resource intensive. It's not a bunch of data and its not complex triggers.

I've been using chatgpt as a resource to learn. Not code for me but I don't have enough knowledge to properly guide it on this and It's been guiding me in circles.

It has recommended me Railway as a cheap way to build this, but I'm having trouble implementing it. Is Railway even the best thing to use for my project or should I start over with something else?

In Railway I have my database setup and I don't have any problem writing the scripts. But I'm having trouble implementing an existing script to run every hour, I don't understand what service I need to create.

Any guidance is appreciated.

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Az400 Dumps

Anyone have Az-400 dumps???please share it with me my exam is tomorrow

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DevOps Freelancer ? Let's connect

Hello Everyone,I am working as a Devops Engineer
in a start-up and it's completely remote. I get some time to upskill myself. I have close to one year of experience and I am planning to target FAANG after an year.
Currently I am looking for a side project or freelancing work . If you are interested in side project or doing some freelancing work already then I would love to understand the work and see if I can contribute

Also,If anyone can guide or suggest me something regarding the same , they are also free to DM.


Thank you !

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What are things that can scan for issues with your Dockerfile?

What are things that can scan for issues with your Dockerfile? Issues like outdated container, security flaws, etc.

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Reducing IaC by 10x Without DSLs or Cloud Lock-In

One recurring challenge in multi-cloud infrastructure management is the amount of IaC required to support different cloud providers. Even minor architectural differences often demand full rewrites.

A more scalable approach is to define infrastructure using **provider-agnostic blueprints**, exposed through an SDK (currently Java, with C# in development). These blueprints encapsulate components, relationships, and governance rules as reusable, versioned modules.

In this model:

* Developers typically write \~3 lines of code:
* One to select the blueprint
* Two to connect their application services (e.g. a database, web app, or queue)
* No changes are needed when switching cloud providers
* Provider-specific details (region, naming, networking, identity) are handled inside the blueprint

Here’s an example of how an AKS cluster can be instantiated from a blueprint using a strongly typed SDK:

public static AzureKubernetesService getAks(String id, AzureResourceGroup resourceGroup) {

return AzureKubernetesService.builder()

.withId(id)

.withRegion(resourceGroup.getRegion())

.withResourceGroup(resourceGroup)

.withNodePools(getNodePools())

.build();

}

This approach shifts from a **“Live System First”** mindset (writing infrastructure tied to a specific cloud) to a **“Blueprint First”** model, where infrastructure is defined once and instantiated anywhere.

For example, a secure AKS cluster with observability and hub-spoke networking can be deployed in around 140 lines—with governance, compliance, and DR included.

The 10x IaC reduction isn’t about shortening code arbitrarily. It comes from **removing redundancy**, **centralizing expertise**, and **eliminating cloud-specific rewrites** for each use case.

**Anyone using provider-agnostic blueprints in production?**
How do you currently manage cloud divergence in your IaC workflows—custom modules, wrappers, or internal abstractions?

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A tool for recognizing when getting close to limit for all aws resources?

Hey everyone.

My company uses many aws services. how can I know we're close to going over the limits? Building a function for each service is not sustainable, we need something dynamic. i can't just check the services we use, because sometimes developers will use a new service, and then adding that retroactively is not sustainable. any ideas?


edit- it's not about money, it's about sometimes there are hard limits of say 10 api calls per second, sometimes it's a soft limit that can be increased. how to keep up with this, when these limits are approaching?

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Cloud taught me to stop thinking like a “Python dev” and start thinking like a systems person

When I started doing cloud automation with Python, I approached everything like a typical dev:

Write a script

Handle exceptions

Make it reusable

Done ✅

But cloud work rewired me.

Suddenly i had to think about things i never used to worry about:

\>What happens if this Lambda retries?

\>Is this region even available right now?

\>Am I leaking infra costs through a loop i forgot to kill?

I had to zoom out.....past the code....and think like a systems person.
Python was still the tool, but the mindset had to evolve.

It was uncomfortable at first, but honestly?
It made me a way better engineer.

Anyone else feel this shift?


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Does anyone in the DevOps world uses Bash?

Hey all,

Just wondering - being a DevOps myself for 10 years (and using Bash daily), is anyone still using Bash that heavily in todays world?

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Should I talk to my manager about my interest in DevOps?

I've recently started learning more about devops and it's implementation, I want to switch to a devops role eventually and at our current startup there is no dedicated devops engineer, we all just deploy manually and because of this I have a good understanding of deployment and its errors, there is no proper CI CD pipeline or containerisation and so on, I'm a software engineer with 2 YOE working on spring boot application mainly at present. Now I know it's not realistic to switch I just want to ask for more responsibility in that regard so I can learn and implement and also build my career. Is this ok? Am I rushing things? I've only started learning since 2 days

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How to set up Bitnami PostgreSQL-HA for multi-cluster replication with one primary and others as replicas?

I'm trying to build a multi-cluster PostgreSQL HA setup using the Bitnami postgresql-ha Helm chart.

Objective:

Primary cluster runs full HA (read/write)

Secondary clusters act as read-only replicas and should automatically follow the primary

If the primary region fails, a secondary should be promotable (manually or automated)

No manual replication config like modifying pghba.conf, primaryconninfo, or mounting standby.signal

Constraints:

Helm-based setup only

Cross-cluster replication must work out of the box or with Helm values

Has anyone successfully implemented this kind of architecture using Bitnami's charts or other Kubernetes-native PostgreSQL HA stacks (e.g., Stolon, CloudNativePG, Crunchy)?

Would love any pointers, Helm examples, or architectural suggestions that avoid drifting into manual setup territory.

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AWS vs Azure Which Offers More Career Opportunities

I’m trying to decide which cloud provider to focus on. In terms of job market demand, growth potential, and career opportunities, which one offers more, AWS or Azure?

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How do you divide responsibility between devs and ops for cluster instances vs app instances?

For companies that are striving for developer self-service where devs manage the app concerns and ops manage the lower level infra concerns, I have the following question:

How do you think about dividing responsibility between developers and ops for cluster instances vs app instances?

To me, it makes sense that developer should manage application cpu/memory and min/max instance count. But the cluster must be able to support that with sufficient instance sizes and count. So do you have the developers manage that too? Or do ops manage that, setting an upper bound on the limit. And to go beyond that, developers have to collaborate with ops to get that increased? Or something else like automatically set cluster max based on all the application max instance count?

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Need Help with DevOps Resume & Job Search


Hi all,
I’m a backend developer (2.5 years, C/C++, Linux) moving into DevOps. I’ve done some personal projects and got an AWS cert

Now I need help with:

What to put in experience section as I don't have devops exp in my current organisation

Making my resume DevOps-friendly

How to apply without real DevOps work experience

What kind of roles to target first


Any tips would be really helpful. Thanks!

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Is DevOpsDays as a Noob worth it?

Hi, I saw there is a DevOpsDays event in my city coming soon, and recently the company I’m working at which is a startup offered me to be the DevOps for the team which I’m pretty excited about. However I don’t have that much experience, just a bit with AWS, I’ve been a developer for 2 years now. I was wondering if I ended up going to this DevOpsDays would I be lost during all the conferences or do you think I would be able to learn from them? I’ve never been to a conference before so I don’t know what they are like. Any recommendations?

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What non-technical DevOps / DX practices do you value most in your team?

Hello everyone,

after jumping from a ~5 person dev team to a ~100 person dev team recently and experiencing a different kind of team dynamic, I’ve been thinking a lot about the soft side of DevOps and DX, beyond just tooling and automation.

What are the softer and non-technical practices that your team adopted that made you happy as a dev? For example:

- how do you share business contexts and best practices
- how do you handle docs
- how do you get new devs up to speed and support them
- do you foster an engineering culture that pursues quality
- do you have someone you can always turn to for help

Curious to hear your good or bad experiences!




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Nuclei templates with AI

I would like to know about the increasing popularity of certain tools within the security domain, particularly in light of these agentic AI code editors and coding assistant LLMs. So, as of now my focus is on the use of Nuclei templates to automate the detection of vulnerabilities in web applications and APIs. How effectively can agentic AI or LLMs assist in writing Nuclei templates and has anyone successfully used these tools for this purpose?

So, i have a swagger specification and a postman collection of APIs although I know how to write Nuclei templates but I'm more curious if any LLMs or AI-based code editors could help me in this process. I understand that human intervention would still be necessary but even generating a base structure let's say, a template for detecting SQL injection would allow me to modify the payloads sent to the web application or specific API endpoints.

I would appreciate any insights from those currently using agentic AI code editors or LLMs to write nuclei templates and what the best practices are for leveraging such AIs in this context specifically

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Always the same?

We run our applications on openshift and as a devops guy I write the kubernetes deployment for applications and I do all the ops stuff. The deployment code is always the same: A bunch of deployments, secrets, cm, services etc. you need to template and a bunch of bash and python scripts chained together. Incidents are the same: „let’s write some simple queries in splunk or Prometheus to find the issue and then either write a simple fix like changing a config value we just googled or add a Prometheus alarm“
Every application feels same. It really doesn’t matter if it’s some data intensive application, an online shop or whatever.
I feel like no matter which technology I picked I only scratched the surface but can solve anything and there is no need to go deeper.

Am I the only one that feel so?





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Automations within mid-size DevOps for Non-Technical users

Hey everyone,
I talked to a lot of non-technical folks working within DevOps teams - especially in smaller orgs - and noticed a few recurring pain points when it comes to automating workflows:

1. Tools like Zapier or n8n are harder to maintain. If someone builds a workflow and then leaves the team, it becomes a black box - especially for team members without a technical background.
2. Many automations live outside the team’s main communication tools (Slack, Teams, etc.), which makes them feel disconnected and hard to trigger or modify in context.
3. There’s often no visibility into what the automation is actually doing unless you go dig into it. This makes trust and debugging harder.

We’ve been building something in this space that’s focused on natural language-based, context-aware automations that live inside tools like Slack/Discord/Google Teams so even non-technical users can trigger, inspect, and edit automations from where they already work.

I am still trying to more feedback and get some thoughts:

What’s your experience with automation tools in small or mid-size DevOps teams?
What’s worked, what hasn’t?



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Hiring Looking for a part time devops expert in Azure


Looking for a devops engineer who can support us with our infrastructure needs on Azure. Expertise in Azure, CI/CD and terraform required. Our infra is almost all set, so at this point, it would be a support role to launch new environments , enhance existing ones and assist engineers with issues. Fully remote. Comp rate of $50+ ph.

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ever tried fixing someone else's AI generated code?

i had to debug a React component written entirely by an AI (not mine tho), looked fine at first
but buried inside were inconsistent states, unused props, and a weird loop causing render issues
took me longer to fix it than it would've taken to just write from scratch

should we actually review every line of ai output like human code?
or just trust it until something breaks?

how deep do you dig when using tools like Cursor, chatgpt, blackbox etc. in real projects?

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Anyone using AI tools (Copilot, transpilers, ) to generate or translate SDKs across languages??

Hi all, I’m working on a multi-language SDK and running into the usual headaches of having to translate logic and code samples across different programming languages.

I’ve tried a few AI tools like Copilot and some code converters. They’re helpful for snippets or boilerplate, but I’ve found they break down fast when the code gets more complex or when I need something production-ready.

Are you using any AI tools to help with SDK generation or language translation? How is your experience so far???

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