Deploying Grafana for production deployments on Azure
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
Explore the core principles and methodologies that drive success on Azure with our curated Best Practices content. It’s the blueprint for building and maintaining solutions that are not only robust and secure but also efficient and forward-thinking.
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
Optimizing your cloud workloads can seem like a complex and daunting task. We created Azure Advisor, a personalized guide to Azure best practices, to make it easier to get the most out of Azure.
Azure Service Health helps you stay informed and take action when Azure service issues like outages and planned maintenance affect you, and provides a personalized dashboard that can help you understand issues that may be impacting resources in your Azure subscriptions.
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning.
Most apps get delivered by a team. When your team delivers the app through virtual machine (VMs), it is important to coordinate efforts.
Whether you’re just starting off in tech, building, managing, or deploying apps, gathering and analyzing data, or solving global issues —anyone can benefit from using cloud technology.
Data is referred to these days as “the new oil” or “black gold” of industry. If the typical Fortune 100 company gains access to a mere 10 percent more of their data, that can result in increased revenue of millions of dollars.
As a high-availability service, Azure HDInsight ensures that you can spend time focused on your workloads, not worrying about the availability of your cluster.
Azure Reservations provide flexibility to help meet your evolving needs. You can exchange a reservation for another reservation of the same type, and you can refund a reservation if you no longer need it.
Everyone’s talking about machine learning (ML). Business decision makers are finding ways to deploy machine learning in their organizations. Data scientists are keeping up with all the advancements, tools, and frameworks available.
This blog post continues the Azure SQL Database architecture series where we share background on how we run the service, as described by the architects who originally created the service.
After you experience a Microsoft Azure service issue, you likely need to explain what happened to your customers, management, and other stakeholders. That’s why Azure Service Health provides official incident reports and root cause analyses (RCAs) from Microsoft.