Poll inspired by this article about virtual #kubernetes clusters being easier to handle than the physical ones… Take your pick (#K8s edition) 🦷: 1️⃣ Physical Clusters 2️⃣ Virtual Clusters 3️⃣ Both 4️⃣ None

Hi all!

Just watching this video from CD - some interesting points that might interest people here;

Hi all! Wonder if anyone knows any resource on how Web platform engineering helps companies become more efficient, from the Frontend development perspective (design systems, micro-frontends, etc).

Hey all I just published a video discussing a question I get a lot around where to build custom software and where to buy vendor software when building internal development platforms? Would love your thoughts on the video. Would also love to know how you advise your orgs where to buy and where to build?

In the last decade, we’ve added multi-region, multi-cloud, containers, serverless and Kubernetes technologies to the networks we already had. Join the Meetup with @Marc Barry (enclave.io) and Alistair tomorrow, 7pm CEST where they will cover how identity-based networking can help you manage this increasing complexity. Sign up here 👈

<!here> This is something a lot of you have asked in the past few months (hence the annoying @ tag, sorry 🙂).. How much do platform engineers make? I know we are mostly here for the tech and innovation, but this is important information when you are thinking about changing careers, asking for a raise, etc. We figured the best way to answer this question is to collect anonymous answers from the community. It will take you 2mins and would be very helpful 👇👇 we'll share the results next week. https://humanitec.typeform.com/salarysurvey

If you’re in DevOps, SRE or software engineering in general you’ll love this. You can now both monitor your Kubernetes costs and get cost reduction insights completely FREE with CAST AI. We’ve just officially opened cost monitoring feature up to the public at CAST AI and it’s got no limits to the number of clusters you can connect or historical data you can access. Check it out here: https://cast.ai/cloud-cost-monitoring/

Thanks to everyone who already shared their data in the survey we posted yesterday, super helpful!! We need a few more responses to make this statistically relevant though 🙂 To all platform engineers, product owners, cloud infrastructure folks in here, pls help us fill this out 👇 https://humanitec.typeform.com/salarysurvey

Have you heard that on

January 2023: The Chrome browser will no longer run Manifest V2 extensions. Developers may no longer push updates to existing Manifest V2 extensions.

(source 👈)? Which web browser do you use and why? :chrome: Chrome 😒afari: Safari :firefox: Firefox 😮pera: Opera :internet_explorer: Internet Explorer Other (please specify in comments)

Live with Alistair and Marc Barry here future of networking, pretty cool

I know, it’s me again, but this Platform Engineering Salary survey is super important for all of us, so if you haven’t completed it (it’s literally 2-min long), please do so. Thanks in advance!

Hi all! Anyone here running a Platform Engineering team dealing at enterprise level with hybrid cloud IT Architecture?

Hi all! This message is for anyone who creates ML/AI models in python and needs an easier way to deploy and monetize these models (with your own pricing structure) in a couple of clicks 🚀. This is what our latest platform, Zervd, does. If you're interested in joining the waitlist for this platform (called Zervd), then feel free to schedule a chat with me: https://meetings.hubspot.com/nikhil-sehgal

Hey everyone - wanted to throw out an open-ended question. How much of your platform work also includes usage / provisioning of 3rd party SaaS tooling - like including Datadog, Harness, Okta, Slack, etc. Background: I'm writing a blog post, and I'm trying to get some anecdotes "from the field" on what's all included in platform engineering. My hypothesis is that it's not just Terraform + some internal wrappers + UI

A lot of what I see about platform engineering is based on a tech stack that includes Kubernetes and Terraform. I am interested in orgs that have implemented platform engineering in a fully (or near as possible) AWS native environment. I am talking mostly Lambda compute maybe some ECS or Beanstalk, CDK for IaC, Code* for CI/CD, etc. Is anyone here using such a stack or have you seen any good resources on building a platform engineering initiative on this stack?

I hope it’s the last time I’m annoying you with this, but as I mentioned last week this Platform Engineering Salary survey is really important for all of us. It’s literally 2-min long, please contribute to the well-being of this awesome community. Thanks in advance!

Hey everyone 👋 Wanted to throw out an invite to everyone for Sourcegraph’s AboveTheCode event tomorrow! Konrad Komorowski, Staff Engineer, Engineering Strategy & Operations @ Glovo (the DoorDash of EMEA) and Beyang Liu, CTO & Co-Founder @ Sourcegraph will be discussing optimising engineering efficiency, promoting a culture of ownership, code insights and interfacing. Wednesday, July 27 / 8:30 AM PST / 11:30 AM EST / 4:30 PM BST https://srcgr.ph/ueKLX - Hopefully you can make it - We are really looking forward to an interactive session and hearing your thoughts!

Hi folks, We just published an article on Ephemeral Environments. It talks about advantages of automated ephemeral environments & how you can use them to unlock workflows that improve productivity gains for Engineers (Platform Engineers, SRE, DevOps Engineers). Would love to know what you all think. Article Link: Improve Developer Productivity with Ephemeral Environments

We’ll forever be thankful to Slack 😒lack: for giving us space to gather so many Platform Engineering nerds 🤓 (more to join every day!) in one place. Do you know how the 😒lack: Engineering team moved to remote development? Loved this read, you should check it out as well.

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Do we have much of a community on Twitter?

Live with Praveen, discussing GitOps on EKS

Hi there, we published a new article on how to find automation opportunities in DevOps, using a technique borrowed from the data mining space. The article contains a Python notebook and code examples to follow along. https://www.okayhq.com/blog/automating-devops-tasks-using-process-mining. Curious to see if other people think about DevOps in this way - essentially applying data-driven product thinking / analytics to building a platform.

And here's the 🔥 discussion from last month!

Employer Brand Videos Speak_ helps employers build relationships with diverse engineering talent at scale. Our growing community of 30k underrepresented engineers seeks access to connections and knowledge. We’d love to invite you to participate in a new product we’re launching that lets you amplify your employer brand reach through short, informal videos that feature your team. It’s part careers site, part interactive engineering blog with 10x the impact of a job description. We’re building a library of employer-branded 1-15-minute videos that educate our community. Below are the possible video categories as well as guidelines and a script outline. We can work with you to generate ideas, help with production, or support you in any way required. Categories Tech talk: engineers at your company might share the tech stack they use daily, a project they are working on, or talk about a cool new open-source library they’re using. Interview: tell candidates what to expect in your tech interviews. Help them avoid common pitfalls and how to stand out as an engineer. Culture: give engineers a taste of what it’s like to work at your company Please reply if you are interested in learning more abou this pilot

Hey folks 👋 We created a page for 'Everything as Code' with examples for each type of system, kind of a reference that can help put the broader picture in perspective. Figured I'd share especially given the platform engineering focus . Let me know what you think in a 🧵 https://klo.dev/blog/the-ultimate-guide-to-everything-as-code/

I have a bit of a question about something we are constantly working to improve, but we feel like we haven't hit the ultimate recipe yet - how do you verify your platform changes when you create a PR? For example, say you are providing a kubernetes platform with all the usual tooling - when you create a PR to for example modify Prometheus config, how do you automate the verification of your change? • Do you create entire clusters on demand per PR to test the full stack to ensure your change doesn't impact other stuff in the platform (slower / more expensive, but can verify multiple PRs in parallel)? • Do you have a persistent platform that your PR changes are applied on (quicker)? If so how do you reset this to 'master' without interfering with another incoming change? Should the cluster be 'locked' until your PR is 'verified'? • Do you only test the actual parts that have changed (quicker)? Or do you do a full apply (more complete picture of impact of change, but slower)? So my question is not so much about tooling that is used to verify changes, but more about the dev flow around PRs when it comes to platforms, which often seems to be a lot more unwieldy than pure 'software' Hopefully what I am asking makes sense 😄

Hello all, For #golang #platformengineering 1. What all blogpost/newsletters are you following? 2. Which company tech blogs are you always looking forward to reading? Thank you in advance