Operations | Monitoring | ITSM | DevOps | Cloud

Application monitoring plays a critical role in the success of your digital products. As you monitor various performance metrics such as usage of CPU, memory, network traffic, and more, you can swiftly take pre-emptive actions before things develop into a larger problem. In spite of the importance of monitoring, the task can become challenging when your infrastructure exists across multiple cloud platforms including AWS and Heroku.

This is the third blog from a series focusing on how public clouds meet telecommunication operators’ business demands. In the previous two blogs, we talked about how Amazon Web Services (AWS) and Google Cloud Platform have enabled telcos to run critical workloads on public clouds. In this last part of our series, you’ll hear about Microsoft Azure cloud and why it’s a trusted platform for the telecommunication industry to host their workloads.

The events over the past two and a half years have radically changed the world. Digital transformation initiatives went from being a priority to an urgent imperative. Enterprises that had not already migrated data to the cloud rushed to do so during the pandemic, and others accelerated their on-premise-to-cloud shifts. Hybrid and multi-cloud environments become the new reality for many organizations who want to get the most out of their on-premises and cloud investments.

The internet of things is one of my favorite topics. IOT enables low-powered connected devices that opens gateways from the digital to the real world. While I love tinkering away with an Arduino sketch and the latest Espressif or Arduino board, there is always an air of frustration when trying to build out what at first seems like simple functionality using one of these “smart devices” because of the limited view we have into their operations.

Typically, startup founders and executives must meet with their board of directors each quarter to review the progress of the company. They may talk about broad topics such as total costs and total revenue, and use these numbers as a guide to determine which moves the company should make in the near future. Often missing from the conversation, however, is a clear and detailed discussion of SaaS metrics.

Cloud Logging launched Log Analytics powered by BigQuery. The top 10 reasons to get started with Log Analytics for no additional cost

It can be a challenge to measure costs within a SaaS company. While a business with physical inventory can count the number of items sitting on the shelf and the money needed to create, store, and ship those items, operating within the cloud means SaaS companies have to measure their costs through a layer of abstraction. The number of users a given product supports and the resources needed to keep that product up and running could change by the minute.

Due to the increasing influence of businesses on APIs, the volume of APIs on which they rely, and the administrative challenges that APIs pose, API administration has gained popularity. For the most part, other apps don’t have the exact requirements or construction and management processes as APIs. Vital documentation, higher security standards, extensive testing, frequent versioning, and excellent reliability are all requirements for using APIs properly.