Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

Sponsored Post

Monitoring Cloud Foundry in SAP Business Technology Platform (BTP)

Cloud Foundry is possibly the most popular environment on SAP Business Technology Platform. When customers build applications with the SAP Cloud Application Programming (CAP) framework to extend SAP S/4HANA solutions and achieve a clean core, they typically deploy using Cloud Foundry. After the applications on Cloud Foundry go into productive use, they become business critical and that creates a need for observability in those applications and the platform. Monitoring of Cloud Foundry is now an essential requirement of SAP operations teams.

The Android Developer's Journey into Hardware Observability

In this article, I walk through how the growth of internal observability tooling for an AOSP device might look like, and the variety of pitfalls one might encounter as they scale from 1s to 10s to 1000s of Android devices in the field, based off my experience talking to AOSP developers and teams, and personally as an Android app developer working on AOSP hardware.

Agentless monitoring for cloud VMs: Simplify scaling and observability

Managing cloud infrastructure is challenging enough without adding the burden of deploying and maintaining monitoring agents. What if there was a simpler, more efficient way to monitor your virtual machines (VMs)? In the first part of this series, we looked at the (link) and presented a better solution: agentless monitoring. Agentless monitoring is an efficient approach to observability that eliminates the need to install and manage software agents on each monitored device.

OpenTelemetry Metrics Explained: A Guide for Engineers

OpenTelemetry (often abbreviated as OTel) is the golden standard observability framework, allowing users to collect, process, and export telemetry data from their systems. OpenTelemetry’s framework is organized into distinct signals, each offering an aspect of observability. Among these signals, OpenTelemetry metrics are crucial in helping engineers understand their systems.

Lakehouse Demo

Cribl Lakehouse is the first lakehouse built for the unpredictable nature of telemetry data. Unlike traditional solutions for structured data, it eliminates schema complexity and manual transformation while delivering elastic scalability, automated, ​​cost-optimized tiered storage, and federated queries across diverse datasets. IT and security teams can effortlessly store and analyze massive volumes of evolving telemetry data in real time—without data engineering expertise—unlocking the full value of their data with a unified, management experience.

The One Where We Meet Cribl Copilot

We’re kicking off our new live weekly product demo series—streaming on YouTube, X, and LinkedIn! Each week, we’ll dive into the latest features and hidden gems from the Cribl Suite of tools to help you unlock the full potential of your telemetry data. For our first session, we’re thrilled to welcome Nikhil Mungel, the visionary behind Cribl Copilot. This AI-powered assistant is designed to: Instantly surface answers from the documentation Build pipelines with just a simple request.