Skip to main content

Pico Services in Go

Peter Bourgon (@peterbourgon) spoke at FOSDEM 2015(video) on the subject of "Go in the modern enterprise". Much of what he described as the weakness of Go he called as examples of structured services. As Peter dives deeper into the description he makes the point but misses the implications.

Peter's definition of structured services fits into what I call dimensional systems or Mandelbrot dimension. It's where the implementation details of the service scale as the dimensional power is applied. And, the actual realization of this exact system of services is found in two places. (a) flow based programming (b) go's generator.

In the case of go's generator, Quinn Slack of SourceGraph, presented at Google I/O 2014 (video). He made a strong case for a number of useful Go patterns. The strongest was the AST and go generate. In particular he talked about wrapping all of the "service" APIs with authentication APIs.

I was introduced to flow based programming after watching some of the flowhub and NoFlow  kickstarter videos and supporting documentation. Later I implemented a similar framework in Go which functioned well but was incomplete as it put a hard burden on the framework which is now better implemented in the ast+generate tools.

One anti pattern for structured services is that the smallest hello world, in Go, is still about 8M. And as you start registering services with whatever discovery services, or virtual SOA buss, the challenges multiply.
  • zero downtime green/blue graceful deploy
  • idempotent transactions
  • audit-able call stack
  • distributed transaction services
UPDATE: The network/buss is still a very expensive operation.

UPDATE:  I've traded a number of tweets with Peter and one thing I discovered that I failed to describe here... the smaller a microservice gets there is a proportionate increase in the cost of servicing it. For example, monitoring a service has cost c. If you divide the service into n smaller services then the cost increases to (n x c). The burden might be multiplied many times over as n is distributed across other subsystems and services.

Comments

Popular posts from this blog

Entry level cost for CoreOS+Tectonic

CoreOS and Tectonic start their pricing at 10 servers. Managed CoreOS starts at $1000 per month for those first 10 servers and Tectonic is $5000 for the same 10 servers. Annualized that is $85K or at least one employee depending on your market. As a single employee company I'd rather hire the employee. Specially since I only have 3 servers.

The pricing is biased toward the largest servers with the largest capacities; my dual core 32GB i5 IntelNuc can never be mistaken for a 96-CPU dual or quad core DELL

If CoreOS does not figure out a different barrier of entry they are going to follow the Borland path to obscurity.

UPDATE 2017-10-30: With gratitude the CoreOS team has provided updated information on their pricing, however, I stand by my conclusion that the effective cost is lower when you deploy monster machines. The cost per node of my 1 CPU Intel NUC is the same as a 96 CPU server when you get beyond 10 nodes. I'll also reiterate that while my pricing notes are not currently…

eGalax touch on default Ubuntu 14.04.2 LTS

I have not had success with the touch drivers as yet.  The touch works and evtest also seems to report events, however, I have noticed that the button click is not working and no matter what I do xinput refuses to configure the buttons correctly.  When I downgraded to ubuntu 10.04 LTS everything sort of worked... there must have been something in the kermel as 10.04 was in the 2.6 kernel and 4.04 is in the 3.x branch.

One thing ... all of the documentation pointed to the wrong website or one in Taiwanese. I was finally able to locate the drivers again: http://www.eeti.com.tw/drivers_Linux.html (it would have been nice if they provided the install instructions in text rather than PDF)
Please open the document "EETI_eGTouch_Programming_Guide" under the Guide directory, and follow the Guidline to install driver.
download the appropriate versionunzip the fileread the programming manual And from that I'm distilling to the following: execute the setup.sh answer all of the questio…

Prometheus vs Bosun

In conclusion... while Bosun(B) is still not the ideal monitoring system neither is Prometheus(P).

TL;DR;

I am running Bosun in a Docker container hosted on CoreOS. Fleet service/unit files keep it running. However in once case I have experienced at least one severe crash as a result of a disk full condition. That it is implemented as part golang, java and python is an annoyance. The MIT license is about the only good thing.

I am trying to integrate Prometheus into my pipeline but losing steam fast. The Prometheus design seems to desire that you integrate your own cache inside your application and then allow the server to scrape the data, however, if the interval between scrapes is shorter than the longest transient session of your application then you need a gateway. A place to shuttle your data that will be a little more persistent.

(1) storing the data in my application might get me started more quickly
(2) getting the server to pull the data might be more secure
(3) using a push g…