The modern software delivery pipeline breaks the mold of traditional process and tool acquisition, but doesn’t warrant any less consideration. Measuring the impact of log analysis for your ops and dev teams (and the organization overall) is more of an exercise in measuring process improvement—not hard ROI.

The soft ROI components of log analysis are:

Step 1 of 7

14%

Which of the following best describes how you currently monitor and manage systems across your hybrid cloud environment?(Required)

Multiple separate tools for different environments

Multiple separate tools for different monitoring and management functions

Single consolidated dashboard

Custom built monitoring and management solution

No full monitoring and management solution

Don’t know

How valuable would it be for your monitoring and management solution to incorporate predictive analytics to help you identify and address system issues that are critical and not waste time or effort working through all the data and “noise” that is not critical?(Required)

Extremely valuable

Moderately valuable

Somewhat valuable

Slightly valuable

Not valuable

How do you most typically address potential system issues BEFORE they impact your operations?(Required)

Automated workflows and playbooks to remediate potential issues as soon as they are detected

An orchestrated response process that leverages automation, AI, and human expertise to rapidly respond to potential issues

Advanced monitoring tools such as predictive analytics and anomaly detection to proactively identify and address potential issues

Respond to issues as they arise, using manual processes and troubleshooting techniques

A combination of automated remediation, orchestrated response, and/or proactive monitoring to address potential system issues

Don’t know

Other

What methods does your organization use to control and monitor cloud/IT spending?(Required)

Centralized procurement processes

Pre-approved budget thresholds

Automated cost monitoring tools

Department-level spending controls

Regular cost audits and reviews

Cloud cost optimization platform

Approval workflows for resource provisioning

Native financial operations tools provided by the cloud provider

No formal controls in place

Don’t know

Other

Please specify:

Which methods do you rely on most to detect security vulnerabilities in your systems?(Required)

Automated scanning tools

Manual assessments

Vendor notifications

Threat modeling (for early detection)

None of these

Don’t know

Other

Please specify:

What are the TWO most common ways you prioritize vulnerabilities to address within your environment?(Required)

Based on potential impact

Based on exploitability

Regulatory compliance requirements

Based on CVSS scores

Risk-based analysis of multiple factors

First-in-first-out approach

No formal prioritization process

Don’t know

How do you typically handle system updates and security patches?(Required)

Automated updates and patches

Manually review and apply updates and patches on a regular schedule

A combination of automation and manual review

Apply updates and patches on an as-needed basis.

Outsourced update and patch management

No defined process

Don’t know

Other

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1. Wasting Less Time: IT Operations wastes dozens of hours each week hunting down system events that relate to a problem. Log analysis not only eliminates the lost time, but also this reactive approach to addressing problems. Identifying system issues is an arduous task, especially when it’s not clear if the problem is on the application layer or the infrastructure. If the issue is a combination of the two, a delayed release is the likely outcome. With log analysis, you’ll discover issues either before or as they happen and avoid both lost time and unnecessary delays!
2. Responding and Resolving Issues More Quickly: Developers working with IT provided analytics respond to and resolve bugs more quickly. This helps improve the stability of production and frees up developer time to focus on adding new functionalities that will ultimately increase the value of your application.
3. Reducing Customer Churn: Modern customers demand stable applications with regular updates. Without this positive user experience, they’ll move on and find a different application to meet their needs. Frequent outages and poor product quality result in churn even in previously entrenched industries. For instance in financial services, a few bottom-up constructed DevOps teams are blowing traditional organizations out of the water. Some of the older institutions have stepped up their game but only by thinking ahead and using better metrics.
4. Accelerating Releases: You cannot do agile if you are always playing catch up with production. Often organizations delay six or more planned releases a year due to unexpected issues. When a publicized release is delayed, customers are particularly unhappy and prone to jumping ship. In agile, with the expectation of regular bi-weekly or fast sprints, delays are a major let down. If your goal is continuous integration or delivery, delayed releases are not acceptable.
5. Optimizing Production Infrastructure Costs: Growing infrastructure quickly is easy, but how fast is too fast? Because of its low visibility, bad infrastructure can control your organization without you even realizing. Using log analysis, you can attack server sprawl head-on, track workloads assigned to specific machines and identify underutilized or dead assets. You can also use that data to restructure your on premise or cloud infrastructure spend!
6. Exploratory Infrastructure: Log analysis builds confidence that server logging is happening automatically, freeing IT resources and providing them the time to consider how and where your system can be improved. From identifying infrastructure configurations that will enhance the environment to auto-scaling initiatives or simply engaging in more productive activities than justifying outages, your IT department will have the time to focus on higher-level thinking and tasks.
7. Improving Communication: With better reporting, comes better communication to both the team and executives. Presentations are built more quickly, analysis showing what went well and poorly is generated easily and action items for improvement are implemented in more detail and without any additional effort. Consistent presentations means standard dashboards and greater efficiency across the board for the team.

Forget the ROI

You may have noticed the absence of any ROI calculation in our benefits analysis. This is intentional, because in the end, the calculations don’t matter. The point of implementing log analysis is to replace your existing procurement model with a system that your team already knows is better. Unfortunately, those who continue to use old ROI calculations to evaluate these tools will miss these benefits.

Cloud-based log analysis sometimes seems too easy, but it is the future of the modern software delivery pipeline. The processes and tools that drive log analysis are simplified and seamless, adding value to your culture, team and processes that cannot be measured in dollars.