Operations | Monitoring | ITSM | DevOps | Cloud

April 2023

Building digital trust and fueling growth through application security

Security awareness is at an all time high. Companies need the right tools to support innovation while building digital trust that users demand. Learn how Cisco Secure Application can help solve this challenge. Security awareness skyrockets with every breach. In response, users are doubling down on vetting the trustworthiness of companies before transacting.

Flexible OpenTelemetry data generation for effective testing (Part 1)

Our OpenTelemetry data generator provides a seamless product-validation experience across all teams working in AppDynamics Cloud. OpenTelemetry™ is a complete telemetry system for monitoring both modern, distributed architectures in the cloud and more traditional on-prem applications.

Flexible OpenTelemetry data generation for effective testing (Part 2)

In this second (and final) segment, we continue to show how our OpenTelemetry data generator provides a seamless product-validation experience across all teams working in AppDynamics Cloud. In the first part of this two-blog series, we provided a high-level overview of OpenTelemetry™ (or OTel). a complete telemetry system for monitoring both modern, distributed architectures in the cloud and more traditional on-prem applications.

Enhancing cloud native application observability on AWS with business transaction insights

With business transaction insights in AppDynamics Cloud, you can turn cloud native chaos into business context. Here’s how. In any organization, technology plays a vital role in nearly every aspect of the business — from marketing to operations to human resources. But increasingly, its role in revenue generation is taking center stage. Profitability and growth are now in the hands of CTOs and CIOs.

Reduce time to detect with AppDynamics Cloud Log Analytics

How machine learning in AppDynamics Cloud accelerates log analysis and reduces mean time to detect. Site recovery engineers (SREs) need to investigate unknown problems reported in production. The common approach is to search and filter log files to find the root cause, and we all know how painful it is to sift through log contents. It’s like finding a needle in a haystack. A machine learning approach is essential to assist SREs to quickly identify the root cause.