Making Log Analytics a Critical Component of Your Performance Monitoring Strategy
July 28, 2014

Vess Bakalov
SevOne

Share this

Historically, log data has been viewed by IT professionals as a valuable asset in the areas of security information and event management. And while there is no denying the benefits of log data for security teams, I suggest that organizations also consider logs as an important source for managing the performance of their infrastructures.

By definition, logs are a record of all user transactions, customer and machine behavior, security threats, fraudulent activity and more. Applications, systems, and network devices produce enormous volumes of unstructured log data. And it's this unstructured data that presents a challenge to properly categorize and mine for intelligence. But when a performance-based log analytics platform can collect and analyze unstructured log data, that data becomes a valuable resource for you to better predict, detect, troubleshoot and resolve network and data center issues.

According to Jim Frey, Vice President of Research at Enterprise Management Associates (EMA), organizations should ensure that log analytics is a key component of their overall performance monitoring strategy. To this point, research from EMA has found that there is strong and growing interest in leveraging log data across multiple infrastructure troubleshooting and operations management uses cases.

However, it's not if – but how – you incorporate log analytics into your performance monitoring process that produces the greatest results.

Many organizations today leverage log search solutions, but the reality is that it takes a lot of time, effort, and education on your part to get value from log data. For instance, you're required to manually search log data after an event takes place – this often requires knowledge of a complex and vendor-specific query language. Essentially, you have the tools to help put out the fires, but wouldn't you rather detect the smoke beforehand?

Another issue with log search solutions is that you must manually compile log reports and then correlate performance metrics to that log data – another time-intensive effort.

Based on the numerous challenges inherent with traditional log search solutions, I suggest organizations look for a performance-based log analytics platform that provides, with a single click, the ability to pivot from real-time performance metrics (such as SNMP or an IP SLA test) to the related log records, and without the time-consuming search and manual correlation typically associated with log tools. Your success with log analytics should be measured by the extent to which you can automate the extraction of actionable insight from logs at the point of ingestion. Your ability to guarantee the performance of your infrastructure depends on a more proactive approach than what we've seen from many log "analytics" tools on the market today.

Vess Bakalov is Senior Vice President, CTO and Co-Founder of SevOne.

Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...