Skip to main content

Building platforms–Strike the right balance

There is a lot of hype around platform engineering these days. The concept of creating platform teams and building platforms to deliver software at scale is not new as companies like Google, Facebook, Netflix etc. have a long history of building developer platforms. And also the much quoted Team Topologies book by Matthew Skelton and Manuel Pais was already released in 2019.

Some wonder if this is just a fancy new name for existing practices and if there is a risk that these developer platforms become a bottleneck, exactly what they are supposed to alleviate. Some dare even say that we made today’s development landscape so horrendously complex that we need these platforms to hide all this complexity.

No matter if you think Platform Engineering is overhyped or not, before you go on this journey I would like to share the following quote:

If your users haven’t build something that surprised you, you probably didn’t build a platform

I saw this quote in the Build abstractions not illusions talk by Gregor Hophe where he shared the following visual:

 

From the Build Abstractions not Illusions talk by Gregor Hophe

I think this is the most important design consideration when you start creating your own developer platform. You’ve successfully build a platform when you strike the right balance between hiding complexity and developer productivity without compromising their creativity. In that way it is related to the Paved road concept I talked about before.

So when you decide to go the Developer Platform route don’t forget that the real goal is NOT to deliver the platform but to support our developers allowing them to get more done.

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...