In APMdigest's exclusive interview, Charley Rich, VP Marketing and Product Management at Nastel, talks about logging and application performance.
APM: How can logging be used for troubleshooting application misbehavior?
CR: Application developers can write log events about their attempted acquisition of system resources, shortage of resources, current state or errors to a log file. By reading and analyzing the log, one can determine to some extent the problems the application is experiencing.
In addition there are additional logs, including those for: the physical server, the application server and the database. Manually, an expert can examine each of these logs and string together a picture of what is happening when a problem has been reported. But, this is not for the faint of heart and often adds considerable trouble to the troubleshooting process.
APM: Are standard logging facilities such as log4j and syslog insufficient for problem determination?
CR: Yes. Manually correlating the information an application logs along with system and other logs can be quite laborious. In addition, many of these logs have multiple unrelated writers posting entries to these logs. Tracing the information pertaining to specific applications is not easy. It is sort of a signal-to-noise problem with the extraneous information in the log acting as noise. All the sources write log events as they happen and thus, each entry may have no relation at all to the prior entry. Deciphering what is relevant to your task is hard.
Standard logging facilities such as Log4j and syslog do not help resolve this issue. They are not sufficiently structured to perform effective problem determination. The burden is on the developer to include enough detail in the log message for effective root cause analysis. They also do not help with the problem of relating application activity messages spread across multiple applications in multiples tiers and multiple logs.
As a result, standard logging can be a burden on development due to the long time it takes to correlate activities manually. Thus, standard logging facilities are somewhat unhelpful in reproducing production problems.
APM: What are “Smart Events”?
CR: Standard logging can be augmented to become “Smart Events”. Smart events are members of a flow of events and can have location, timing, source, correlation information embedded in them (such as IP, server, GPS, geo, etc.). Such augmentation is a combination of an enhanced logging methodology, combined with a simple programming model that allows recording of relevant information that can aid in fast root cause analysis and inter and intra log correlation.
APM: What happens when a Smart Event is created?
CR: Once a Smart Event has been created, the necessary context is provided for an analytics process to correlate these events into a more meaningful format that will make troubleshooting considerably easier.
APM: When are Smart Events most useful?
CR: Smart Events are most useful for applications that require fast root cause diagnostics for performance problems and application misbehavior using logging facilities.
They are also very useful for applications running in cloud or mobile where very little control exists over application behavior.
APM: How much effort is required to change an application to create Smart Events?
CR: Not a lot is required. The developer must use an enhanced programing model that allows for generation of Smart Events where context, time and location are combined into a single concept. Instead of using logging frameworks directly and write to an event log, the developer uses a simplified interface that supports Smart Event methodology. It is important to note that correlation comes from the application's standpoint and not from the technology point of view
APM: What happens when a developer is unable or not permitted to change existing applications?
CR: Smart Events can be used for existing applications that make use of log4j or other logging frameworks. A post processor could be applied to their current logs where data is mined from the existing set of logs and transformed into smart events. Of course, the value of such transformation will largely depend on the level of detail available in the log entries themselves.
APM: Are Smart Events still helpful if a developer is already using Log4j or one of the log file management tools such as Splunk or Loggly?
CR: Yes. If a user has these installed, the processed or consolidated log files can be used as the source without a need to add API calls to the applications.
APM: Does the smart logging approach track thread interdependencies?
CR: As activities are traced down to the thread level, it becomes even more important to know where that thread is executing and how that relates to the activity produced by other threads. As these multi-threaded applications execute in multiple locations, the complexity in using log files for debugging becomes far greater. Awareness of location, context and behavior would be very helpful.
APM: Can smart logging capture elapsed time for activities?
CR: An auto-processing logging framework would imitate the way the application works and automatically time how long it takes from start to completion. It can also measure the timing in detail between, for example event 1, event 2 and event 3. There are a lot of implicit values in a timing perspective and using this model, as well capturing exceptions and errors associated with application activities.
APM: How does someone know if smart logging is right for their organization?
CR: They should evaluate their current logging process and framework and determine the delta between what they are doing and what has been described here. They should consider how the value described can be garnered across all their applications by evolving their logging.
ABOUT Charley Rich
Charley Rich, Vice President of Product Management and Marketing at Nastel, is a software product management professional who brings over 20 years of experience working with large-scale customers to meet their application and systems management requirements. Earlier in his career, he held positions in Worldwide Product Management at IBM, as Director of Product Management at EMC/SMARTS, and Vice President of Field Marketing for eCommerce firm InterWorld. Rich is a sought after speaker and a published author with a patent in the application management field.
The Latest
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...