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:

Related Articles

How to Use Observability to Reduce MTTR
Observability
3 Minute Read

How to Use Observability to Reduce MTTR

MTTR (mean time to recovery) is a key performance measurement for any application. Observability helps you reduce MTTR dramatically. Learn how and try it today.
Research Identifies the Clear Benefits of Strong Observability
Observability
3 Minute Read

Research Identifies the Clear Benefits of Strong Observability

Dive into our newly released State of Observability 2021 report to discover how leaders in observability continue to outpace their competitors and have more reliable applications, better performance metrics, and increased ability to innovate.
What the Fastly Outage Can Teach Us About Observability
Observability
5 Minute Read

What the Fastly Outage Can Teach Us About Observability

In this blog post, we discuss the recent Fastly outage, examine how traditional monitoring technologies would have responded to that outage, and show how adopting Digital Experience Monitoring inside your Observability practice is crucial to detecting and responding to these types of issues.
Collecting Kafka Performance Metrics with OpenTelemetry
Observability
7 Minute Read

Collecting Kafka Performance Metrics with OpenTelemetry

Learn how to collect and monitor Kafka performance metrics with Splunk Infrastructure Monitoring using OpenTelemetry — a vendor-neutral and open framework to export telemetry data.
Monitoring Kafka Performance with Splunk
Observability
7 Minute Read

Monitoring Kafka Performance with Splunk

In this three part blog series, we take a deep dive into Kafka architecture, the key performance characteristics that you should monitor and how to collect telemetry data to gain real-time observability into the health and performance of your Kafka cluster using Splunk.
Why You Should Migrate from Legacy Apps to IT Essentials Work
Observability
2 Minute Read

Why You Should Migrate from Legacy Apps to IT Essentials Work

We understand change is never easy, but trust us when we say, migrating from these legacy apps and adopting the new IT Essentials Work (ITE Work) app will be both worthwhile and beneficial.
3 Ways to Upgrade Your IT Strategy with Business KPIs
Observability
3 Minute Read

3 Ways to Upgrade Your IT Strategy with Business KPIs

Get your IT strategy on the right track by focusing on more integrated processes, breaking down team silos and aligning your team objectives to business goals. Check out some practical steps to consider, to maximize value for your organization and customers.
The Hidden Cost of Sampling in Observability
Observability
4 Minute Read

The Hidden Cost of Sampling in Observability

If your observability platform makes you sample, you may be drawing incorrect conclusions from it – resulting in large hidden costs and consequences. Learn more about how you can avoid missing out on critical insights at the most relevant time.
Monitoring Model Drift in ITSI
Observability
4 Minute Read

Monitoring Model Drift in ITSI

In this blog we will talk about some strategies for monitoring your models in ITSI for model drift. This is the idea that the predictive models will become less accurate over time as the rules that were generated originally no longer match the data they are applied to.