marketing VS okteto

GitLab team member here. Thanks for flagging.

Our web team is working to resolve this issue here: https://gitlab.com/gitlab-com/marketing/digital-experience/b...

> Having a web-based IDE is great for newcomers and will work on cheap Chromebooks or iPads

Good call, thanks. GitLab team member here.

From my experience as GitLab trainer in my past job, a web frontend to edit files hides the complexity of Git on the CLI, and helps with the "5 min success" to get going and learning. This can help with team member onboarding, as well as OSS projects looking for contributors.

Combined with CI/CD pipeline feedback in the same interface, without context switches, it makes the learning story easier to follow too.

The first workshops to get started with GitLab CI/CD from 2 years ago, are linked in the documentation, and use the Web IDE. [0] Seen great learning curves from the wider community :-) Taking a note to create a new workshop with the new IDE in the future. [1]

[0] https://docs.gitlab.com/ee/ci/quick_start/

[1] https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

Thank you for the great thoughts :)

> And maybe only cache the downloads on the main branch.

$CI_COMMIT_REF_SLUG resolves into the branch when executed in a pipeline. Using it as value for the cache key, Git branches (and related MRs) use different caches. It can be one way to avoid collision but requires more storage with multiple caches. https://docs.gitlab.com/ee/ci/variables/predefined_variables...

In general, I agree, the more caches and parallel execution you add, the more complex and error prone it can get. Simulating a pipeline with runtime requirements like network & caches needs its own "staging" env for developing pipelines. That's a scenario not many have, or might be willing to assign resources onto. Static simulation where you predict the building blocks from the yaml config, is something GitLab's pipeline authoring team is working on in https://gitlab.com/groups/gitlab-org/-/epics/6498

And it is also a matter of insights and observability - the critical path in the pipeline has a long max duration, where do you start analysing and how do you prevent this scenario from happening again. Monitoring with the GitLb CI Pipeline Exporter for Prometheus is great, another way of looking into CI/CD pipelines can be tracing.

CI/CD Tracing with OpenTelemetry is discussed in https://gitlab.com/gitlab-org/gitlab/-/issues/338943 to learn about user experiences, and define the next steps. Imho a very hot topic, seeing more awareness for metrics and traces from everyone. Like, seeing the full trace for pipeline from start to end with different spans inside, and learning that the container image pull takes a long time. That can be the entry point into deeper analysis.

Another idea is to make app instrumentation easier for developers, providing tips for e.g. adding /metrics as an http endpoint using Prometheus and OpenTelemetry client libraries. That way you not only see the CI/CD infrastructure & pipelines, but also user side application performance monitoring and beyond in distributed environments. I'm collecting ideas for blog posts in https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

For someone starting with pipeline efficiency tasks, I'd recommend setting a goal - like shown in the blog post X minutes down to Y - and then start with analysing to get an idea about the blocking parts. Evaluate and test solutions for each part, e.g. a terraform apply might depend on AWS APIs, whereas a Docker pull could be switched to use the Dependency proxy in GitLab for caching.

Each environment has different requirements - collect helpful resources from howtos, blog posts, docs, HN threads, etc. and also ask the community about their experience. https://forum.gitlab.com/ is a good spot too. Recommend to create an example project highlighting the pipeline, and allowing everyone to fork, analyse, add suggestions.

Good morning HN. I am the DRI (directly responsible individual) for about.gitlab.com and I have created this issue to audit our trackers, cookies, and other data collection on the marketing website https://gitlab.com/gitlab-com/marketing/inbound-marketing/ma...

Our product does not include the tracking that is used on the marketing site.

Hi,

> This was not a poor accident by a single employee. It's noble that the author tries to take all the blame on himself, but honestly, I feel like that is a moment where a leader has to step in and accept their mistake and not let a small trooper eat all the bullets.

The issues you have found are all assigned to me, or I created them. My task is to create blog posts, some of which being a hackathon and challenge. The KPI are impressions, other metrics are hard to measure. As a Developer Evangelist, I often need to learn new technologies, or dive into unknown areas connecting the dots.

You can learn more about our focus areas in our handbook: https://about.gitlab.com/handbook/marketing/community-relati...

I'm focussing on the Ops side, with a backend development background in the past 15 years. I was once a maintainer of an OSS monitoring project called Icinga, a Nagios fork back then. I decided to take on a new journey with becoming a Developer Evangelist in March 2020 (you can learn more on my website https://dnsmichi.at/about/ in case you're interested).

That being said, I've found it interesting to learn about web apps and their deployment, and dive into new things. Never having found a use case for trying Heroku, March brought up one: There was a Twitter theme of "Everyone is building a better Heroku" - https://twitter.com/adamhjk/status/1369704730218299392?s=27

From there, I thought of learning Heroku while comparing it with the 5 minute production app. I underestimated the challenge of creating a web app with a persistent backend, and decided to stick with the simple battleships demo I had initially found.

This state of the blog post felt good enough for me, and I did not include the persistent backend just yet, but moved it into a separate blog post. This is feedback I got during the review.

Turns out that this decision was wrong, next to other negative raw sentiments I had added in the blog post.

You can try to convince that it is not my fault, and I will convince you - it is, and I am standing up for it. Public and transparent.

I know we all get better from making mistakes. The lesson I learned today helped me improve a talk I gave at a meetup in my evening, it added technical insights as well as helped with the story line. That's the tracking issue: https://gitlab.com/gitlab-com/marketing/corporate_marketing/...

We will continue to iterate, and have a retrospective on what we can improve from the lessons learned today. Thanks for your feedback.

There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com

Check also devspace.sh and okteto.com

You can consider using okteto for development environments, it lets you deploy your local code directly to k8s replacing the existing pods, our team uses it and it works pretty well with Golang.

Okteto is an application that allows you to develop inside a container, along with many features it permit the user to start a development environment and provide an automatic SSL Endpoints for k8s.

With Infrastructure as Code at its current state of maturity, it’s now easier than ever to replicate microservice environments in the cloud. This unlocked a new approach of having a personal production-like cloud environment for every developer, which they can use freely and in isolation. It comes in two flavors - persistent environments, or ephemeral environments created on demand with products like Okteto or Bunnyshell (also sometimes called Environment as a Service)1. This approach overcomes the resource limitations of the local environment but substitutes them for some new difficulties:

Remote development will be popular? Yes.

But developing in a monolithic machine may be not. The development environment should be clean and isolated, and products like gitpod and coder is promising.

Besides this, maybe you can have a look at https://github.com/tensorchord/envd and https://github.com/okteto/okteto

Okteto accelerates the development workflow of Kubernetes applications. You write your code locally and okteto detects the changes and instantly updates your Kubernetes applications.

Hey! Recently, I’ve been playing around with [Okteto](https://www.okteto.com/) to see how it helps with the local development of apps that will run in Kubernetes. It seems to be quite a good option for developers who don’t want to spend their time dealing with setting up and maintaining clusters. Moreover, you can use a development environment from Okteto without thinking about CI/CD pipelines for delivering the app.So, instead of working on your code locally and deploying it then to the cluster, the whole development process is shifted straight to K8s. That makes Okteto approach a bit different from what other projects, like Skaffold and werf, do. To implement this idea, they offer a [CLI tool](https://github.com/okteto/okteto) and their own cloud provided as both SaaS and self-hosted (it has a limited free option).Here is [my overview](https://blog.flant.com/okteto-cloud-for-local-development-in-kubernetes/) of Okteto; any feedback — especially, your own experience — is more than welcome.

There's a long long route to cloudification, but works like Okteto[1] seem like a nice early pass at doing what Docker-Compose was capable of for fast local development, but modern. Pursuing remote-development makes a lot of sense. There's already solid VSCode integration[2].

If you just need a terminal like thing to local-dev in, toolbx[3] is probably the first choice.

[1] https://github.com/okteto/okteto

[2] https://marketplace.visualstudio.com/items?itemName=okteto.r...

[3] https://containertoolbx.org/

Hi Jacob. I am one of the founders of Okteto (https://okteto.com/), a remote development platform for Compose and Kubernetes applications. We use Syncthing to sync code between the developer laptop and pods running in Kubernetes. I would love to know your thoughts on the strengths and weak points of Mutagen vs Syncthing for this use case.