Operations | Monitoring | ITSM | DevOps | Cloud

SolarWinds recently release Hybrid Cloud Observability, a solution we’ve been building towards for a long time, and something I see as the evolution of monitoring. If you missed Thomas LaRock’s recent article on observability and how we got here, then you missed a fun walk down memory lane. Importantly, it covers the history of our evolution from a simple toolset to the comprehensive set of monitoring known as the Orion® Platform and beyond.

We are excited to announce that PagerDuty® Runbook Automation and PagerDuty® Process Automation On Prem are now available on the AWS Marketplace, the leading global cloud provider. With more than 200 different cloud services, AWS makes it simple and attractive to build and grow your cloud-native business and/or migrate your existing infrastructure to the cloud, so you can begin to take advantage of the unlimited scale, agility, and flexibility the cloud offers.

Efficient use of observability statistics is essential to any microservice architecture. OpenTelemetry is a project supported by the Cloud Native Computing Foundation (CNCF) to enhance the observability of microservice projects. AWS Distro for OpenTelemetry (ADOT) is an AWS-supported distribution of the OpenTelemetry project specifically designed to improve the observability of AWS projects.

Cloud computing offers nearly limitless capacity on-demand, but left unmanaged, that flexibility can lead to surprisingly high monthly cloud bills. To be fair, rising cloud costs aren't always a bad thing; they could be a signal of growth. For example, you’ll incur higher costs as you gain more customers. Your costs of goods sold (COGS) may also increase. These scenarios are often a good thing unless your margins on COGS are thinning out.

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.