Deploying serverless workloads on any cloud

by | Dec 13, 2018

GitLab announced during the event Kubecon + CloudNativeCon held this week in Seattle (USA) the launch of Serverless. It is a serverless computing technology that is served through their application to manage the full life cycle of DevOps.

In this execution model, the cloud provider acquires the role of the server, dynamically managing the allocation of resources of the machine. The client pays only for the actual resources consumed by an application.

This technology is combined with Knative, which enables automatic scaling and the possibility of back up to run serverless workloads in Kubernetes. Thus, companies can use a multi-cloud strategy and take advantage of serverless without being tied to a specific cloud provider.

Serverless will be available on December 22 on the GitLab 11.6 platform through a new tab in the “Operations” section. With this tool, companies can plan, create and manage workloads within the same GitLab user interface.

For more information, read the official announcement.


Submit a Comment

Your email address will not be published. Required fields are marked *

Recent posts

VDI: The most secure environment for hybrid working

Today is Data Privacy Day. The purpose of this date is to raise awareness and promote privacy and data protection best practices. It was initiated by the European Commission, the Council of Europe, and the Data Protection authorities of the European Union’s member states. Their main goal was to drive attention to the importance of privacy, user data protection, and compliance of the General Data Protection Regulation (RGPD). It is a regulation characterized by significant fines for non-compliance since its implementation in 2018.

How to avoid issues with virtual machines

Virtualization comes with a wide range of benefits for organizations. It helps cut IT costs and reduces downtime while increasing efficiency and productivity. It also increases the resiliency of networks, primarily when disasters occur, and promotes more green-friendly operations.

However, using virtual machines also comes with a set of downsides. Information security may get compromised, workloads mixed up, separation duties lost, among other issues. It is vital to know how you can get over these problems, and that’s what this article will discuss.

Let’s get started.


Stay up to date with all the news from UDS ENTERPRISE through our social networks. Follow us!

Skip to content