Application environments are complicated. This involves mobile app development platforms, virtualized servers, the Internet of Things (IoT), hybrid clouds and more. Such a high degree of complexity makes Application Performance Monitoring (APM) a significant challenge for IT teams.
Furthermore, it can appear impossible to pinpoint the root or likely reason of a sluggish, underperforming application when you take into account the sheer number of interdependencies. However, if you want your business to remain competitive, you need to find and resolve the issues faster. And this is where the APM tool comes in.
The Application Performance Monitoring tool provides you with real-time tracking of your application’s performance and the level of satisfaction that your end-user experiences. With APM, you can quickly identify the potential problems and system availability before they affect your end-users.
What is the purpose of the Application Performance Monitor (APM) Tool?
APM tools have the following uses and are classified as types based on what they do:-
- Application Metrics-based APM Tools
Foremost, APM tools collect several apps and the server-related metrics, including server uptime monitoring, associated with each app. Then, use the data to determine which of your applications’ URL requests are slow. However, they don’t profile the application’s code, so they can tell you what’s causing the slowdown.
- Code Profiling-based APM Tools
These types of APM tools perform code profiling and transaction tracing, which can help you to closely examine the application performance issue’s exact cause. Some of the APM tools use domain-specific artificial intelligence and machine learning techniques to profile various code types.
- Network-based APM Tools
These APM tools focus on network traffic to measure application performance. As network availability monitoring requires highly specialized techniques, only a few APM tools can do it.
Features of APM Strategy
- Criticality Analysis
The criticality analysis feature of the APM strategy determines the potential risks that could impact the application processes. This is a systematic approach to assigning a criticality rating to application assets based on their potential risks. Once this undergoes ranking of assets based on their criticality, this helps in prioritizing the risks and a condition monitoring strategy can take place. Furthermore, this analysis helps us to clarify what action should be taken to reduce the risk associated with each asset.
- Reliability Centered Maintenance
The reliability-centred maintenance analysis approach is to enhance the reliability of the assets and optimize maintenance planning. The tool can provide full-featured capabilities for Failure Mode and Effect Analysis (FMEAs) and related analysis.
- Failure Mode and Effect Analysis (FMEA)
FMEA identifies and records all the ways an application can fail and the potential impact of these failures. Building the FMEA is the key component of reliability-centered maintenance. This outlines the failure modes of individual components, the consequences of failure on productivity and safety, and a plan for reacting to or preventing these issues. The main goals of FMEA are to reduce response times, decrease downtime, and prevent future breakdowns by reducing common and critical failures.
- Strategy Manager
The strategy manager is the key planner and analyzer who establishes strategic plans in the application performance monitoring process.
- Life Cycle Cost Analysis (LCA)
The life cycle cost analysis is an approach used to determine the estimate of the total cost originating from all phases of an asset, from initial to disposal. It also involves the service and maintenance costs.
- Strategy Library
The strategy library is to develop best-in-class reliability strategies for a given criticality, for every asset and customize them as needed.
Why is APM important for your business?
It is crucial for every business to develop an effective APM solution as it helps the DevOps team resolve issues and bottlenecks at a swift pace and reduces the organization’s Mean Time to Resolution (MTTR). Overall, this impacts the business’s revenue and its credibility.
For effective application monitoring software and strategies, contact Infraon for detailed information.
