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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.

Aiven for Apache Kafka® Moving the data infrastructure of your service or app from an on-prem model into a managed cloud service comes with risks. These ones you can't ignore.

Released today, data from more than 1,300 global respondents combines with expert analysis to reveal goals, benefits, and challenges of cloud-native technology in 2022 16 May 2022 – Canonical, the maker of Ubuntu, today released data from a new global survey revealing the goals, benefits, and challenges of cloud-native technologies.

Containers are one of the most popular ways for businesses to deploy applications. They provide an easy method of packaging applications into self-sufficient units that can be used, moved around, and re-used in any number of ways without breaking the overall functionality of your software. With the possible exception of serverless architecture, containerization is perhaps the best way to achieve smooth, seamless application deployment and minimal hassle with updates and application maintenance.

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.

Despite all the attention cloud systems and enterprise cloud migrations receive, legacy software still plays an active role throughout enterprises. In many cases, critical business processes supported by legacy applications are just too crucial to core business functionality to risk migration.