3 Reasons Why You Should Be Using Smarter Log Analytics

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3 Reasons Why You Should Be Using Smarter Log Analytics

Logs can tell you a lot about your performance and provide valuable insight into your system and set up. Here's a look at why you need smarter log analytics, like comprehensive IT ops visibility, and auto APM-log correlation.

· Performance Zone ·
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Application complexity is increasing rapidly, and so is the need and dependency on software to provide exceptional customer experience and business agility. Machine-generated data holds the key to providing insights as enterprises rush to fix customer issues, optimize application, and add a plethora of new features on a regular basis. In a hyper-competitive mode and quickly evolving marketplace, enterprises must find a way to resolve issues or risk becoming irrelevant.

In this blog, I’m going to discuss an alternate approach to traditional Big Data and log-only solutions. Rather than looking for a needle in the haystack or struggling to find answers when the application code changed and you no longer have the right logs to store the data to get you granular insights, why not use a solution that simply differentiates and leverages the power of application performance management solution and logs together to provide comprehensive IT operational intelligence.

Without further adieu, here are the top 3 reasons to power your operational insights using AppDynamics Log Analytics solution:

1. Comprehensive IT Operational Visibility With APM

Modern enterprise applications are complex and generate tons of data. AppDynamics, the leading application intelligence company, auto-discovers and monitors end-to-end business transaction performance with transaction tag and follow. This approach identifies customer-impacting issues quickly and provides deep visibility into application health making AppDynamics Application Performance Management (APM) solution of choice for enterprises running an application in production with minimum overhead.

However at times trouble goes beyond application code. APM tools are generally superior in pinpointing the errors, and for most parts, IT and DevOps professionals use APM to drill down from end-use clients to application code level details to isolate the performance issue and then dig into logs to troubleshoot beyond the code. Multiple vendors are competing here occupying precious time and resources that are wasted from switching from one tool to another while relying on time-based correlations to stitch the information. Customers also have to deal with having multiple dashboards separately built on different platforms.

Our unique approach brings the best of the both worlds together to provide comprehensive IT operations intelligence in real-time. Business transactions data from APM and log data as part of one platform gives the power back to IT and DevOps professionals who can use the two together to complete the picture between application and infrastructure components.

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2. Industry’s First Auto-correlation Between APM and Logs

But why stop there? Bringing the two data sets together without source code modification and burden of owning, managing, and deploying multiple tools is a huge leap and tremendous value to enterprise IT teams. The value proposition increases several folds by the industry’s first auto-correlation of transactions and log data. AppDynamics application agents automatically identify business transactions to tag, trace, and follow that transaction end-to-end with a unique identifier. Smart correlation inserts the same unique identifier related to a single business transaction and automatically ties it to all associated logs.

Leveraging the power of this intelligent correlation, IT and DevOps professionals can pinpoint errors, get full context and forensics behind the root cause, and ultimately achieve faster mean-time-to-resolution. In a time where every customer interaction is an important one with business consequences, auto-correlation will pinpoint quickly that a particular “place order” business transaction took 7 seconds because messaging service queue was full, and finally it succeed in the seventh attempt. It eliminates the need to refine and correlate logs from different tiers and adds business context.

3. Unified Analytics Solution to Power IT Operational Intelligence

Leverage AppDynamics Unified Analytics platform to provide real-time insights into IT operations, customer experience, and business outcomes. AppDynamics Log Analytics is part of the Unified Analytics Platform to enable unprecedented, comprehensive operational visibility in real-time in production.

Search logs and transaction data in one platform to connect the dots. Use the same platform to visualize rapidly and analyze large datasets to gain granular real-time insights. Build custom and interactive custom dashboards and create metrics alerts to act on information quickly. Set-up automated reports to share learnings with managers and team members.

To summarize with one word: “Smart Logs.” 

  • Smart logs to get real-time insights into your machine data
  • Smart logs to resolve application issues faster
  • Smart logs to gain comprehensive IT operational intelligence 
java, java 9, performance, performance and monitoring

Published at DZone with permission of Mike Anand , DZone MVB. See the original article here.

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