Introducing Log Observer Connect for AppDynamics

Log Observer Connect for AppDynamics enables in-context navigation between AppDynamics and Splunk. This unified observability troubleshooting experience promises to streamline problem identification, but also aligns cross-functional teams by providing shared insights into application performance issues across tools.

Log Observer Connect for AppDynamics is a new log integration with Splunk that lets observability users centralize log collection in Splunk and analyze them in context with Cisco AppDynamics hybrid application observability for frictionless troubleshooting and faster root cause analysis while reducing operational costs. This new integration adds new log analysis use cases for Cisco Full-Stack Observability.

It’s no secret that most organizations use multiple monitoring and observability tools to understand and troubleshoot application performance. But the lack of integration between tools results in “swivel-chair troubleshooting,” forcing observability users (i.e., SRE, Developers, and IT Operations) to switch back and forth between disparate tools, continually and having to stop and restart the troubleshooting workflow in each transition.

AppDynamics + Splunk

We’ve moved quickly to integrate Splunk into the Cisco Full-Stack Observability solution architecture in just a few short months since the acquisition. Through our Unified Observability Experience initiative, we are integrating AppDynamics and Splunk Enterprise/Cloud with a unified experience, shared resources, and shared use cases. The result is to simplify the troubleshooting workflow, reduce the time to identify root cause, and speed up mean-time-to-resolution (MTTR).

Centralize logs in Splunk and optimize costs

Many teams use logs for troubleshooting, so storing all your logs in a central repository with shared access makes sense. Plus, centralizing logs in Splunk eliminates the costs of ingesting the same logs into multiple repositories. With the Splunk Universal forwarder and technical add-ons (TAs), you can easily forward your application logs from AppDynamics into Splunk Enterprise/Cloud.

Log Observer Connect for AppDynamics uses deep linking from apps, tiers, nodes, business transactions, and transaction snapshots in AppDynamics to the related logs in Splunk Enterprise/Cloud. Along with single sign-on, deep linking streamlines your troubleshooting workflow for an uninterrupted user experience, which optimizes the troubleshooting process. The combination of AppDynamics and Splunk speeds root cause analysis for faster identification and problem resolution. When used together, AppDynamics uses metrics, events, and snapshots to tell you “what, when, and where” problems are occurring, while Splunk logs help you understand “why.”

Point-and-click log analytics

Splunk provides world-class log analytics with an intuitive no-code interface, out-of-the-box dashboards, and pre-packaged filters for faster troubleshooting and root-cause analysis. When utilizing the deep links within the AppDynamics user interface, valuable application metadata, including the same timeframe, is automatically passed to Splunk to ensure a seamless transition. Together, in-context log analysis will allow you to resolve most application-related performance issues quickly.

Share data across teams with bi-directional integration.

Soon, Log Observer Connect for AppDynamics will allow users to view multiple telemetry types in a single interface and provide even greater context before employing the deep links between products. We’re working on the ability to preview logs in AppDynamics to gain contextual insight to streamline the troubleshooting workflow. At the same time, Splunk users will be able to preview metrics, events, and snapshots within Splunk to determine the business impact of log-related issues that surface within Splunk. Shared context will help to align teams around common priorities to minimize any impact on the business.

Learn more:

Visit our Log Observer Connect for AppDynamics web page.

Take an interactive tour

Watch the replay for the Better Together: Introducing new Splunk integrations and AI innovations for Cisco AppDynamics webinar, where you will learn about new observability and operational efficiency enhancements—from AI innovations to Splunk log analysis solutions for AppDynamics.

In his latest blog, “Bringing the Cisco AppDynamics + Splunk Better Together story to Cisco Live,” Ronak Desai, SVP, GM Cisco AppDynamics and Full-Stack Observability, shares his thoughts on Cisco Live and the AppDynamics + Splunk – Better Together story.

Lastly, these blogs provide additional insights into these recent announcements:

/en_us/blog/fragments/disclaimer-with-divider
/en_us/blog/fragments/beginners-guide-to-observability
Style
two-column

Related Articles

Monitoring with Logs: Metrics from AWS FireLens, Splunk and Logstash
Observability
8 Minute Read

Monitoring with Logs: Metrics from AWS FireLens, Splunk and Logstash

SignalFx is advancing its observability capabilities with the introduction of log metricization by way of an official integration with FireLens, the new log aggregation service from AWS.
An Insider’s Guide to Splunk on Containers and Kubernetes
Observability
10 Minute Read

An Insider’s Guide to Splunk on Containers and Kubernetes

An insider’s guide to Splunk on containers and Kubernetes. Our Splunk Enterprise and Universal Forwarder container images on DockerHub are pulled millions of times each month.
A Blueprint for Splunk ITSI Alerting - Step 1
Observability
2 Minute Read

A Blueprint for Splunk ITSI Alerting - Step 1

Creating a blanket correlation rule in Splunk IT Service Intelligence to create notable events when the service health score for any service degrades
A Blueprint for Splunk ITSI Alerting - Overview
Observability
3 Minute Read

A Blueprint for Splunk ITSI Alerting - Overview

Laying out a blueprint for enterprise-wide alerting across all of your services with Splunk IT Service Intelligence (ITSI)
Top 3 Best Practices for Configuring Splunk ITSI in a Large-Scale Environment
Observability
3 Minute Read

Top 3 Best Practices for Configuring Splunk ITSI in a Large-Scale Environment

Splunker Kan Wu shares a sample of best practices for configuring a large-scale Splunk ITSI deployment
Mind The Gap! Understanding End-to-End Customer Journeys to Deliver Great Customer Experience
Observability
3 Minute Read

Mind The Gap! Understanding End-to-End Customer Journeys to Deliver Great Customer Experience

Bridging the gap between what companies perceive their customer journeys to be, and what actually happens.
Splunk Metrics via Telegraf
Observability
6 Minute Read

Splunk Metrics via Telegraf

There are many ways of generating metrics and sending them to Splunk, but this blog post will focus on Telegraf as a means to achieve this.
Simple Event Processing with Apache Pulsar Functions
Observability
10 Minute Read

Simple Event Processing with Apache Pulsar Functions

Part 2 of our blog series on event-driven architecture covers simple event processing techniques and best practices using Apache Pulsar Functions
Refining Real-Time Alerts with Compound Conditions
Observability
9 Minute Read

Refining Real-Time Alerts with Compound Conditions

This post will explain one of our latest efforts to improve SignalFx alerts: the addition of compound conditions to the SignalFx detector creation UI.
/en_us/blog/fragments/about-splunk
/en_us/blog/fragments/subscribe-footer