Faceit sign up not working series#

With the migration complete, FACEIT has found the new way of deploying much easier than before, when everything had to be set up manually. Separately, the stateful services that FACEIT needed ran on Compute Engine instances which are scaled up and down automatically when needed. Google Stackdriver gave FACEIT the ability to monitor its system in depth.

The company used Container Registry to store and manage its container images and Cloud Storage to hold and help secure static assets such as images and configuration files. 'By the time we've got our laptops out, any problems have already been resolved automatically and our job is to go through the logs and diagnose what went wrong.' 'With Kubernetes Engine, we just don't have to worry about the infrastructure,' says Emanuele. The core of FACEIT's new architecture was Kubernetes Engine, to simplify the creation and management of Kubernetes clusters. With Jetstack's help, the company migrated its infrastructure within two months, with no disruption to its users. The team came away from the engagement with more confidence and knowledge.'įACEIT spent time planning its transition to GCP so as not to incur any unnecessary downtime. 'The goal was to build out architecture that followed best practice, confirm a migration plan, and empower FACEIT to implement this with our assistance. 'We went through the cluster from top to bottom, looking for areas to optimize,' says Matt Barker, co-founder of Jetstack. Jetstack took time and effort to understand FACEIT's goals and advise the company on how best to achieve them.

After gaining a new understanding of how microservices could benefit the business, FACEIT engaged Jetstack to help refactor its cloud infrastructure on Google Cloud Platform, to get the most out of Kubernetes.

In the summer of 2017, FACEIT's team attended a series of workshops managed by Google and run by Jetstack, a leading Kubernetes focused Google Cloud Partner. As FACEIT began to use Kubernetes for its microservices, it ran up against usage limits set by its existing cloud provider, leading to more delays and complications. While that satisfied the immediate demands of scale, it led to complicated deployment procedures and big delays when anything went wrong. 'Our architecture was basically a monolith, and then we started adding microservices on top,' says Bradley Wilson-Hunt, DevOps and Service Delivery Manager at FACEIT. Since it launched, FACEIT has had to move fast, building out whatever capabilities it needs as quickly as possible to keep up with demand. Maximum flexibility, minimal fuss with Google Kubernetes Engine

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Faceit sign up not working series#