Organizations that want to leverage AI at scale must overcome a number of challenges around model training and model inferencing. Today, there are a plethora of tools and frameworks that accelerate model training but inferencing remains a tough nut due to the variety of environments that models need to run in.
Today we are excited to launch Service Mesh Interface (SMI) which defines a set of common, portable APIs that provide developers with interoperability across different service mesh technologies including Istio, Linkerd, and Consul Connect. SMI is an open project started in partnership with Microsoft, Linkerd, HashiCorp, Solo.
Helm is the best way to find, share, and use software built for Kubernetes, and the eagerly anticipated Helm 3 alpha is now available for testing. Try it out, give feedback, and help the Helm community get it ready for you to depend upon.
Greetings and welcome to KubeCon EU in Barcelona! As always, it is wonderful to see the community come together to celebrate how Kubernetes has made cloud-native ubiquitous and changed the way that we build and manage our software.
Today at the Red Hat Summit, Microsoft announced a wide array of new services, including availability of Red Hat Enterprise Linux (RHEL) 8 images, SQL Server 2017 on RHEL 8, and the general availability of Ansible 2.8 and Certified Ansible Modules on Azure alongside the Azure Red Hat OpenShift GA.
Today we’re announcing the public preview of Azure Image Builder, a service that makes building Windows and Linux virtual machine (VM) images easy in Azure. It helps you build custom VM images with three main purposes in mind: fulfilling security needs, meeting corporate and regulatory compliance rules, and preconfiguring VMs with apps for faster deployment.
Back in September 2018 we announced our Continuous Integration and Continuous Delivery service, Azure Pipelines. Since that time it has seen phenomenal growth and adoption.
When you’re building a new app, there is a lot you need to focus on. Behind the scenes, there is data stored somewhere, often in a Postgres database. Data is essential, and it needs to be accessible and available.
Event-driven architectures are a natural evolution of microservices, enabling a flexible and decoupled design, and are increasingly being adopted by enterprise customers. Fully managed serverless offerings like Azure Functions are event–driven by design, but we have been hearing from customers about gaps in these capabilities for solutions based on Kubernetes. Scaling in Kubernetes is reactive, based on the CPU and memory consumption of a container.
This post is the second in a sequence intended to introduce developers to the Trill streaming query engine, its programming model, and its capabilities. We introduced in the previous post the concept of snapshot semantics for temporal query processing.
This blog dives into monitoring-as-code ad adding automated performance quality gates into your software delivery pipelines. We’ll walk through examples using a web microservice app and an Azure function app that we developed as open source services that help you qualify the overall performance and quality of applications.
There have already been two Terraform Azure provider releases in April and this blog post highlights the new and updated resources in these releases. Before talking about all of the great new functionality, I would like to start by thanking all of the external contributors to the AzureRM provider for these releases.
