What’s new this month in AppDynamics Cloud
In this month’s What’s New in AppDynamics Cloud, we’re continuing the release momentum from where we left off in March by introducing a new wave of innovation in May with expanded support for VMs, Kubernetes and Linux apps running across hybrid cloud environments, enabling users to accelerate their RCA by expanding anomaly detection to infrastructure entities and improve the overall usability of AppDynamics Cloud to deliver a better user experience.
Expanded support for hybrid cloud
Building off the hybrid cloud momentum we announced in our February blog, we’re expanding AppDynamics Cloud capabilities to deliver end-to-end visibility into the performance of the infrastructure running your applications.
New Windows container support for Kubernetes® automatically identifies and alerts cloud and Kubernetes teams of underlying infrastructure issues and enables them to rapidly troubleshoot issues impacting the performance of applications. With AppDynamics Cloud, teams can now view health metrics all the way down to the infrastructure and quickly investigate performance problems for applications running frontend services in AKS or EKS and backend services running on-prem in OpenShift.
Additionally, this month introduces a new round of Azure service expansion that increases the Azure Infrastructure Entities supported with automated monitoring of Azure App Gateway, Logic Apps and Web Apps services.
AI/ML-powered anomaly detection with seasonality
The release of business transaction insights in November was a major enhancement to AppDynamics Cloud, enabling users to observe their cloud native environments in real-time and in context to business objectives. Business transactions are essential in driving revenue streams. Still, many issues that impact them, and ultimately end-user experience and business KPIs, originate from non-business transaction entities such as infrastructure. For this reason, the May release will include Anomaly detection for infrastructure. AppDynamics Clouds anomaly detection streamlines the process for SREs to monitor non-business transaction entities through powerful insights to reduce Mean Time to Detection (MTTD) for application performance problems with greater accuracy. Support for cloud infrastructure services like AWS EC2 means teams can extend the capability of anomaly detection end-to-end across business transactions.
Rather than requiring teams to build health rules that need continuous tuning to compensate for changes in user traffic, infrastructure and applications, anomaly detection does not require manual configuration at the metric levels. Utilizing a machine learning (ML) algorithm, it continuously monitors latency, errors and the throughput of entities to automatically identify abnormal behavior by determining whether entities in your application and infrastructure perform within the acceptable performance limits. The May release will also include improved seasonality baseline calculations for business transactions and the ability to tune the sensitivity (high, medium and low) level of anomaly detection to ensure teams can detect and identify a broader range of problems with greater accuracy. These improvements enable the detection of daily and weekly seasonality in signals of metric levels to account for the seasonal nature of your businesses and intelligently normalize data by disregarding any temporary spikes and periods of no data.
Enhanced user experience and extensibility
The final area to highlight for May is user experience enhancements that simplify log exploration.
As discussed in the March blog announcing log analytics for AppDynamics Cloud, application and infrastructure logs are indispensable for troubleshooting unknowns. The new log exploration capabilities now feature an improved logging user interface that enables SREs to find issues faster and with fewer clicks. Now, when you send your logs to AppDynamics Cloud, it parses individual log messages into named fields to provide greater search and filter capabilities and correlates them with specific entities for greater observability across your entire monitored environment. SREs can see and investigate surrounding logs by clicking one button, customize and save the logs results table, share the logs page with the currently used filter or group selection and time range, download all the logs that are fetched (not only the ones that are visible on the page) and group log messages by an attribute and show the difference between the groups in the histogram.
Keeping up with AppDynamics Cloud innovations
For a complete list of Cisco AppDynamics innovations and more information about the new features and capabilities mentioned here, check out the AppDynamics Product Updates page, and follow our announcements at Cisco Live in June, where we’ll share exciting news around AppDynamics Cloud and Cisco FSO.
Check out more AppDynamics Cloud blogs:
Sunder Parameswaran is Vice President of Products at Cisco AppDynamics and has 20 years of product strategy and engineering experience in the IT industry. Sunder leads product strategy for cloud native observability and AIOPs at Cisco AppDynamics. Responsible for the strategic direction of product roadmaps, Sunder and his team help customers accelerate innovation by leveraging the Cisco AppDynamics platform to connect business outcomes and user experience with underlying application and infrastructure performance.
