Advancing Microsoft Azure resilience with Chaos Studio
Microsoft Azure Chaos Studio solution helps you measure, understand, improve, and maintain the resilience of your application through hypothesis-driven chaos experiments.
Microsoft Azure Chaos Studio solution helps you measure, understand, improve, and maintain the resilience of your application through hypothesis-driven chaos experiments.
Let’s explore what’s new for Azure Data & AI this month.
In May, we announced a groundbreaking partnership with Redis Labs to bring their Redis Enterprise software to Azure as a part of Azure Cache for Redis. We were humbled by the level of excitement and interest we received.
The Linux and open-source landscapes are changing rapidly. With so many companies embracing remote work and operations this year, we’re seeing more organizations running large-scale, mission-critical Linux and open-source workloads than ever before. IT teams need technical resources that can keep up—now.
Between waves of pandemics, hurricanes, and wildfires, you don’t need cloud infrastructure adding to your list of worries this year. Fortunately, there has never been a better time to ensure your Azure deployments stay resilient.
Azure Cache for Redis is an in-memory data store that is used to power fast, scalable applications. Now in preview, you can access all the caches under your Azure subscriptions and view their data with the new Azure Cache for Redis Visual Studio Code extension.
Scale, resiliency, and performance do not happen overnight—it takes sustained and deliberate investment, day over day, and a performance-first mindset to build products that delight our users.
A new partnership between Microsoft and Redis Labs to bring their industry-leading technology and expertise to Azure Cache for Redis.
A few months ago, we released a blog post that provided guidance on how to deploy Apache Airflow on Azure.
We are very happy to announce the general availability of geo-replication support for Azure Redis Cache. Redis Cache is Microsoft Azure’s Cache-as-a-Service offering, based on the popular open source Redis in-memory key-value store.
StackExchange.Redis uses a configuration setting named “synctimeout” for synchronous operations.
The new preview Azure Redis Cache is really easy to plug into your Azure web app. I had it plugged into my MVC Movie sample app, deployed to Azure and running in under 17 minutes (15 minutes to plug it in and test locally).