5 technologies that #PlatformEngineers should pay attention to for the next six months 🧰 📆

- devcontainers
- Buildpacks (and SBOMs)
- "Remocal" dev tools e.g. Skaffold, Telepresence
- HTTP/3
- Service catalogs e.g. Backstage

Read on to learn more! 🧵 👇
devcontainers enable the packaging and encapsulation of developer environments and can be run locally and remotely 🛠️

This @InfoQ article from @avdi (reviewed by @BeardedCoder) is super useful for establishing the benefits of devcontainers

infoq.com/articles/devco…
@InfoQ @avdi @BeardedCoder The @buildpacks_io project enables fast, secure, and reproducible software builds! #nuffsaid

They can also be used to easily generate SBOMs to help with software supply chain and security governance 🔏

buildpacks.io/docs/buildpack…
@InfoQ @avdi @BeardedCoder @buildpacks_io Once your dev env and build toolchains are set, you need developer tooling to enable fast feedback and the scaling of development environments across local and remote environments/clusters

(no one can run 5+ microservices locally when developing 🤯 )

kubernetes.io/docs/tasks/deb…
@InfoQ @avdi @BeardedCoder @buildpacks_io Additional info on using Telepresence and Skaffold can be found here:

blog.getambassador.io/super-fast-inn…
@InfoQ @avdi @BeardedCoder @buildpacks_io HTTP/3 is going to have a big impact on platforms, particularly for applications serving users with lossy connections (cell/mobile, emerging markets etc.), low-latency demands, and streaming 📱

Stay tuned for an awesome podcast that I recently recorded with Alyssa Wilk! 🎙️
@InfoQ @avdi @BeardedCoder @buildpacks_io Service catalogs are not a new concept, but the latest iteration needs to support cloud, microservices, and rapid change 🌩️

I learned a bunch from @phennex about the benefits of catalogs for developer onboarding, such as @CloudNativeFdn's Backstage

getambassador.io/developer-cont…
@InfoQ @avdi @BeardedCoder @buildpacks_io @phennex @CloudNativeFdn Thanks for reading the thread 🙏

What do you think are the most important platform engineering technologies for the remaining six months of this year?

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More from @danielbryantuk

Jun 12
Key learnings from the inaugural #PlatformCon

- Everyone is building a platform, whether they realize it or not
- Platform as product FTW 🚀
- Getting exec/C-level buy-in is challenging
- Platform Product Manager will be a hot role 📈
- Balance devex, CLI, UIs, & IaC ⚖️

🧵👇
1/ Everyone is building a platform, whether they realize it or not 🤔

There was a real mix of platform tech at the event:
- Kubernetes
- Serverless
- On-prem

One key theme: every "platform" helped devs to code, ship, and run, reducing toil and increasing speed and safety 🚀 ⛑️
A lot of (successful) platform builds and adoption appeared to be driven bottom-up by developers 🧰

And yes, even that janky "setup-local-dev. sh" script and clumsily assembled GitHub Actions building and deploying from your repo onto an EC2 instance count as a platform 😁
Read 20 tweets
May 30
#KubeCon EU Takeaway 2: ➡️ Platforms and “golden paths” enable productivity and reduce developer friction

I saw several great talks, and also presented on why I think golden paths and platform engineering are the next big thing 🔥

Let's explore this in more detail: 🧵 👇
The first mention of "golden paths" was from @MercedesBenz in the opening keynote, where they talked about the K8s-based platform they had built over the past 7 years 🏎️

Lots of thought, effort, and iteration had been applied to the dev experience 🧰

@MercedesBenz Golden paths are all about making it easy for a developer to code, ship, and run applications; to go from biz idea, to code, to test, to running in prod, to collecting telemetry to enable iteration ⚡

There can be one golden path or many, depending on your use cases 🛣️
Read 15 tweets
May 29
My top five takeaways from #KubeCon:

1. Cloud education is vitally important
2. Platforms and “golden paths” enable productivity
3. Developer experience is top of mind
4. Cloud networking is simplifying
5. Increasing focus on security

Let's explore 1 in more detail 🧵 👇
First, the complete #KubeConEU summary blog post that provides in-depth coverage can be found here:

blog.getambassador.io/kubecon-eu-202…
Takeaway 1 ➡️ The cloud native community continues to grow: Education is vitally important

@pritianka mentioned in her opening keynote that 65% of attendees were new to KubeCon. And a lot of these folks were new to the cloud native space

More, and new, education is needed
Read 12 tweets
Apr 29
My top Twitter threads on cloud, containers, and microservices for this year so far:

- Platform engineering
- API gateway vs service mesh
- @Kubernetesio debugging
- @Docker chaos testing
- Fast dev/test with Telepresence
- @buildpacks_io
- Microservice testing

A 🧵 of 🧵 s 👇
I'm predicting big things for the "platform engineering" space over the next year. Whether you ❤️ or 😡 the name, I think this is the new DevOps.

Watch this space for lots of knowledge sharing, innovation, and VC money 💰 !

A critical part of your platform is the communication infrastructure ☎️

I think there is a lot of innovation -- and potential confusion -- in the cloud native API gateway and service mesh spaces (and n/s vs e/w 🧭 )

Read 9 tweets
Apr 22
Testing microservice-based systems is hard 😢

With that said, software testing in general is challenging, but to paraphrase the late great B.I.G.: "mo' services, mo' problems" 💰

Here are some key references and thinking points 🧵 👇
I think a lot of testing challenges come with a misunderstanding about coupling and cohesion 🤔

As I wrote back in 2018, these two core architectural properties massively impact your ability to test: danielbryantuk.medium.com/microservice-t…
Think about coupling and cohesion when designing microservices (yeah, yeah, I know, but I mean seriously think about this, and even do some upfront design) 🎨

codingthearchitecture.com/2017/10/11/evo…
Read 12 tweets
Apr 14
Are you looking to perform simple chaos testing on your @Docker setup to check your system's and microservices' resilience and security?

For example, do you want to spike CPU, memory, i/o, in a container and see what happens?

My top three tools to get started with 🧵 👇
First, you'll need some basic visibility/observability into what's going on.

I've recently been using @bcicen_'s excellent "ctop" (shown in my first tweet): github.com/bcicen/ctop 📊

Once I've seen something obvious, then I run "docker container top 20fa446aebf..." 🔍
The CPU burning container I'm showing above is using hub.docker.com/r/jfusterm/str…

There are a bunch of options to mess with CPU, memory, i/o 😁

(Note that this is a very old image, and although it's an Alpine base running simple Linux commands, this could still be a security risk)
Read 9 tweets

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