When we set out to trace applications running outside of AWS Lambda, there was little doubt in our minds that building on top OpenTelemetry was by far the best course of action. There are many reasons for this, but chiefly, it is a question of coverage. At its most fundamental level, achieving coverage requires as-wide-as-possible support for technologies, and interoperability among instrumentations.

Microservices are loosely coupled services that are organized around business capabilities. In an ideal microservices architecture, each service can be developed and deployed independently. To form a functional application, these separate services communicate with each other in the production environment (and even beforehand).

Check our September 2022 health report on the top most popular cloud providers. We analyze the health of the cloud providers based on the number of outages and problems during the month. The source of the data is made available by the cloud providers themselves via their status page. We normalize it and use it to generate the report.

At MetricFire, we treat your data as our data, and we secure our data. Security is prioritized at every level of our infrastructure so you can have peace of mind that your data is sent and stored safely. Keeping MetricFire secure is fundamental to the nature of our business. One of our key priorities is to secure our customers’ metrics and trust. We diligently ensure that we comply with industry security standards so that our customers can trust that their metrics are safeguarded.

Azure Container Apps is a serverless platform that enables you to deploy containerized applications and microservices—regardless of their code or framework—without managing any underlying cloud infrastructure or orchestrators. By using serverless containers, Azure Container Apps can automatically scale based on HTTP requests or events supported by Kubernetes event-driven autoscaling (KEDA) in order to accommodate peak demand and meet your budgeting goals.

Continuous integration (CI) demands continous testing: shifting left helps prevent faulty code from spreading, which is one of the core aims of CI. Datadog’s new Azure DevOps extension enables you to seamlessly incorporate integration and end-to-end tests into existing CI/CD workflows on Azure Pipelines, a dedicated CI/CD service that automatically runs builds, performs tests, and deploys your services and applications via cloud-hosted pipelines.