Our year in review

Dec 30

2016 was a rollercoaster year for Wercker. We started the year off with our Series A funding. Inkef Capital led our round with participation from our existing investor Notion Capital. The funding helped us accelerate our growth and expand our amazing team.


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Most read engineering posts of 2016

Dec 28

As the year draws to a close, we'd like to take a second to reflect on the blog posts that resonated with Wercker users and made the sometimes tricky world of development that little bit easier. Here is a round-up of the top ten most read tutorials and general posts of 2016. 

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Meet Walterbot

Dec 13

For a long time, Wercker has had support for after-steps which allow you to setup notifications for apps like Slack and though this works great for team notifications, there are situations where only YOU want to get a notification, and for that, we have a slack app: Walterbot

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A new web beginning

Nov 22

Over the years at Wercker we have continuously made improvements to our user interface.

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Our most popular Steps for AWS

Nov 7

The Install AWS CLI step is one of the most downloaded Steps on the Wercker Steps Registry

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Our most popular Steps for Google Cloud Platform

Nov 7

Check out the Wercker Steps Registry for useful Steps that carry out automation tasks in your Pipelines. Our most popular steps for integrating directly with Google Cloud Platfrom include:

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Moving fast with Microservices

Nov 1

It’s been over five years that Marc Andreessen wrote the much-publicized essay on “why software is eating the world”.

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Container and Microservices | News and Events | Vol 10

Oct 27

November is one busy month! Check out our latest conference dates, news from our ecosystem partners and some interesting reads from around the web.

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Adding support for organization-level environment variables

Oct 24

You can now have environment variables on organizations, applications and pipelines.

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Deploying a Microservice to GKE with GCR

Oct 20

This tutorial will show you how to take an example microservice from source code to a Kubernetes cluster using Wercker, Google Container Engine (GKE) and Google Container Registry (GCR).

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