Does your monitoring lack Contextual Intelligence?

Incorporate log Analytics for rapid, contextual issue resolution and superior user experience.

In the application economy, customer experience is the ultimate battleground. Log monitoring and analysis across hybrid infrastructures can provide IT teams with proactive insights for resolving performance issues that are impacting end user experience. But you have to use log analytics in a unified and contextual manner to succeed. Here is why.

Contextual Intelligence is critical for success

So why is contextual intelligence important? Well, it can help an IT operations engineer solve the problem and close the ticket quickly, for example. It can provide context for the VP of IT to understand that few DC sites are experiencing more problems than others and hence his staff should pay more attention to those. It can provide the application owner or the LOB create the right schedule for maintenance engineers to go to the right stores to inspect POS systems issues.

Traditional, siloed log monitoring is reactive, lacks context and introduces inefficacy

Monitoring logs is not a completely new or alien thing for IT operations teams. Over the past decade, log analytics was almost a monopoly of the few – while many vendors had the ability to ingest and process logs, few vendors used the positioning and their forte to their advantage very well.

But customers and users quickly realized that using only log data is reactive and results in time consuming triage due to lack of correlation with performance data. As a result, using it in isolation is not completely useful.

Along came a trend to use log monitoring tools and real-time monitoring (aka polling tools) together. We have seen multiple customers using this strategy in their environments – and it worked, for some time.

Many vendors followed suit as they wanted to get unstructured information and use it to expand their monitoring prowess. They realized especially in newer technologies like cloud, docker and SDN the polled information was limited and insights through logs were required to enrich the data

But maintaining two disparate toolsets with limited out of the box integration has started to create issues for IT teams – both operational as well as financial and the huge costs some of these log monitoring tools command, has simply opened up the market, for good.

Introducing contextual log Analytics with CA Unified Infrastructure Management

Over the last 40 years, CA Technologies has helped customers to solve their problems faster or avoid them in the first place, by providing them contextual intelligence.

Be it from mainframes to distributed to virtualization to cloud to SDN – we are the “context” experts – providing performance, fault, flow and other contexts. What we are now doing is providing additional context in form of log analytics.

Our market leading tools such as CA UIM now use new contextual log analytics to help IT team resolve issues rapidly across hybrid infrastructures. Unified configuration and contextual workflow to use the same processes and tools that you have been using. This makes finding problems and getting insights a lot easier, intuitive and easily justified.

Customers are not only able to use optimal workflows but also reduce costs by rationalizing products or parts of expensive products. Over the course of the year we will continue to build on these capabilities across our Agile operations portfolio spanning application, infrastructure and network monitoring. Stay tuned!

For details please visit CA Unified Infrastructure Log Analytics page.

Kiran is a seasoned Product Management leader with vast experience in Operations, Infrastructure Management and…


  • Ethashamuddin Mohammed

    Log analysis? Event Mgmt component in CA NSM


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