The latest News and Information on Cloud monitoring, security and related technologies.
Technology advancements have now made it possible for organizations to adopt virtual desktop technologies in a hassle-free manner, from the cloud. Microsoft’s multi-session Windows desktop technologies supported on Azure cloud allow admins to provision virtual desktops on-demand. Integration with Azure Active Directory and FSLogix ensures secure access with efficient profile management.
Serverless is a technique for executing operations and running cloud compute services on an as-needed basis. Serverless computing is the latest trend in the cloud computing world. It has made it much easier to develop, deploy, and scale applications. Serverless computing means that developers don't need to worry about anything other than their code. They don't need to provision a server or install software to run their code.
AWS Lambda execution lifecycle has main phases: initialization, invocation, and shutdown. In the initialization phase, Lambda creates the runtime environment, downloads the code, imports everything needed, and runs the functions initialization code. In the invocation phase, the Lambda will get an input, process it, and produce an output. After the invocation phase, Lambda will go to an ideal state and wait for the next input.
In this article, we will explain what Microsoft Azure is and how you can monitor its data. We will also learn how to integrate Microsoft Azure with MetricFire. Last, we will look at the benefits of using MetricFire’s monitoring solution with Azure metrics. Try the free trial version of MetricFire and enjoy all the benefits of using our system. Book a demo with our team and discuss in detail the process of integrating Microsoft Azure and MetricFire.
With Cloud SQL for SQL Server, you can bring your existing SQL Server on-premises workloads to Google Cloud. Cloud SQL takes care of infrastructure, maintenance, and patching so you can focus on your application and users. A great way to take better care of your application is by monitoring the SQL Server error log for issues that may be affecting your users such as deadlocks, job failures, and changes in database health.
Prometheus is considered the de facto standard for Kubernetes application metrics, but running it yourself can strain engineering time and infrastructure resources when your usage grows. In March, we announced the general availability of Google Cloud Managed Service for Prometheus to help you offload that burden, and today, we’re excited to announce a new low-cost, high-usage pricing tier designed for customers who are moving large volumes of Kubernetes metrics over to the service.
