Guidance for how to kick off a Litmus Chaos Scenarios programmatically and in an Azure DevOps Pipeline.
The promise of being able to standardize on Kubernetes as a platform is attractive as it offers unique solutions to many of the challenges companies face. This post talks about the Azure Service Operator open source project that helps customers deploy Azure Resources using Kubernetes definitions
In the last eight years, poaching in Africa has been happening at an alarming rate. Currently, the continent loses three rhinos a day. As part of our team’s mission to find new ways that technology can positively impact our world, we’ve been collaborating with the Combating Wildlife Crime team Peace Parks Foundation (PPF), in partnership with
The Commercial Software Engineering team (CSE) partnered with Axonize to automate the process of deploying apps to Kubernetes, and expose these apps to the internet via a single IP. This post is about enabling applications in your Kubernetes cluster to programmatically install helm charts and expose them through a single public facing IP.
Developing robust algorithms for self-driving cars requires sourcing event data from over 10 billion hours of recorded driving time. CSE worked with Cognata, a startup developing simulation platforms for autonomous vehicles, to build a Jenkins pipeline and Terraform solution that enabled our partner to dynamically scale GPU resources for their simu...
Over the past two years, Microsoft and Webjet have collaborated to build a blockchain-based solution, Rezchain, to help travel companies reduce payment disputes. In this code story, we’ll share the lessons learned in creating the Rezchain consortium. In particular, we'll focus on how we solved the challenges involved with enabling Ethereum nodes t...
We recently worked with Webjet to migrate their deployment from IaaS to Kubernetes and used Helm to deploy a private Ethereum network to Kubernetes.
We created a solution to ingest Azure Event Hubs events at scale using Python and Kubernetes.
We explore how we worked with a customer to add autoscaling capability to a Kubernetes cluster to meet bursty demands for deep learning training in a cost-efficient manner.
Situm, a company that offers high precision indoor navigation, looked to Kubernetes on Azure to provide high availability and scalability for their services. As of Kubernetes v1.6.5, Kubernetes on Azure supports both UDP and TCP workloads, and respects the Kubernetes Service spec's sessionAffinity.
