Operations | Monitoring | ITSM | DevOps | Cloud

This post was written by Siddhant Varma. Scroll down to read the author’s bio. Software development isn’t just about building and deploying software. There’s a wide range of operations and activities you need to tackle even after you’ve successfully deployed it. The two most common are observability and monitoring. While they’re similar in a lot of ways, it’s important to understand that they are not exactly the same, and each has its own purpose.

Since 2020, the Intel team has been contributing to Telegraf, including both telemetry from Intel-specific platform features (such as Intel® Resource Director Technology, Intel® Dynamic Load Balancer, or power statistics from Intel-based platforms) and telemetry gathered from generic tools and frameworks; for example, Data Plane Development Kit (DPDK), Libvirt, P4 Runtime, or Reliability Availability Serviceability (RAS).

As more companies rely on data insights to drive critical business decisions, data must be accurate, reliable, and of high quality. Gaining insights from data is essential, but so is the data’s integrity so that you can be sure that data isn’t missing, incorrectly added, or misused. This is where data observability comes in.

The public cloud market is expected to grow significantly in 2023, and it’s no surprise. Gartner forecasts that end-user spending on public cloud services will rise by 21.7% to a total of $597.3 billion in 2023, up from $491 billion in 2022!