|By Richard Park||
|January 2, 2013 08:30 AM EST||
When IT people think about application performance monitoring, they're usually thinking about which metrics they should monitor. Some examples of resource metrics may include CPU utilization, disk queue length, and thread pool size. Examples of performance metrics may be application response time, responses per interval of time, and concurrent invocations of an application.
"Modeling" is probably not the first term that comes to mind when considering application performance monitoring. But, in fact, "modeling" is exactly what a "domain expert" does when he decides how application components are related with one another, and which metrics matter in gauging application performance.
The problem for IT organizations is to extract this type of "institutional knowledge" from a handful of experts to make it accessible and relevant to more people in IT Operations and Application Support. So whether you are talking about a complex approach like using UML diagrams, or something easier to grasp like calculating workload for your monitored elements, a model is simply an abstraction of best practices to make it easier to understand application performance.
Gartner underscores the importance of modeling in its analysis of the APM market. Its Magic Quadrant for Application Performance Monitoring discusses five functional dimensions, one of them being "runtime application architecture discovery, modeling, and display." This is the discovery of the hardware and software components of an application and the communication paths connecting these components together. Put even more simply, one of the key criteria for a good APM solution is to discover and create an accurate model.
Let's go through a brief example of why application modeling is so important for performance monitoring, and why Netuitive put so much effort on this in our recent Netuitive 6.0 release.
A typical Java application runs on an application server such as Tomcat, JBoss, WebSphere, or WebLogic. Because the application is distinct from the application server and JVM, it makes sense to model these as separate components.
The application has performance metrics such as response time and responses per time interval. The application server has JVM resource metrics such as CPU utilization and thread pool size.
Traditional "monolithic" models of performance combine metrics for an application and its application server into a single entity. But this monolithic approach makes it more difficult to model a scenario where multiple applications run on the same application server.
The monolithic approach is also not as intuitive if you want to quickly see if there is a problem with an application. It is straightforward to mark an application as "red" if its response time is increasing and to mark an application server as "red" if CPU utilization is high. But if resource and performance metrics are combined together, do you mark an application as red if CPU utilization is high? It isn't clear. High CPU utilization may not necessarily affect application performance, but you still want to know about it from a resource utilization perspective.
But a "monolithic" model is no longer appropriate for today's distributed enterprise applications. A modern Java application runs on multiple application servers in a clustered architecture. The cluster provides increased scalability and redundancy as more cluster nodes are added.
The most typical way to model an application cluster is as a cluster entity that contains multiple application servers.
This model focuses primarily on infrastructure, where one can determine if resources are evenly distributed among cluster nodes.
You can also adopt a more "application-centric" model by creating a cluster that contains only the applications.
This model provides more visibility into total application throughput and average response time. It focuses mainly on application performance throughout the entire cluster.
The bottom line is that a good model is essential for understanding and evaluating application performance. Today's distributed enterprise-class Java applications is more complex than ever, and depending on the "institutional knowledge" of a handful of application support experts is risky. Predictive IT analytics have now advanced to the point of eliminating this risk by condensing modeling best practices into templates that define which metrics matter, and by distilling the analysis of these metrics into composite health and workload indices.
To learn more about how this all works, check out our white paper on monitoring distributed Java applications.
Thanks to Docker and the DevOps revolution, microservices have emerged as the new way to build and deploy applications — and there are plenty of great reasons to embrace the microservices trend. If you are going to adopt microservices, you also have to understand that microservice architectures have many moving parts. When it comes to incident management, this presents an important difference between microservices and monolithic architectures. More moving parts mean more complexity to monitor an...
Feb. 24, 2017 01:45 AM EST Reads: 1,443
Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Day 2 Keynote at 17th Cloud Expo, Sandy Ca...
Feb. 24, 2017 01:45 AM EST Reads: 9,517
As software becomes more and more complex, we, as software developers, have been splitting up our code into smaller and smaller components. This is also true for the environment in which we run our code: going from bare metal, to VMs to the modern-day Cloud Native world of containers, schedulers and micro services. While we have figured out how to run containerized applications in the cloud using schedulers, we've yet to come up with a good solution to bridge the gap between getting your contain...
Feb. 24, 2017 01:45 AM EST Reads: 3,761
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the work...
Feb. 24, 2017 01:00 AM EST Reads: 2,525
We call it DevOps but much of the time there’s a lot more discussion about the needs and concerns of developers than there is about other groups. There’s a focus on improved and less isolated developer workflows. There are many discussions around collaboration, continuous integration and delivery, issue tracking, source code control, code review, IDEs, and xPaaS – and all the tools that enable those things. Changes in developer practices may come up – such as developers taking ownership of code ...
Feb. 23, 2017 10:15 PM EST Reads: 2,590
The rise of containers and microservices has skyrocketed the rate at which new applications are moved into production environments today. While developers have been deploying containers to speed up the development processes for some time, there still remain challenges with running microservices efficiently. Most existing IT monitoring tools don’t actually maintain visibility into the containers that make up microservices. As those container applications move into production, some IT operations t...
Feb. 23, 2017 09:30 PM EST Reads: 904
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningf...
Feb. 23, 2017 06:30 PM EST Reads: 6,291
For organizations that have amassed large sums of software complexity, taking a microservices approach is the first step toward DevOps and continuous improvement / development. Integrating system-level analysis with microservices makes it easier to change and add functionality to applications at any time without the increase of risk. Before you start big transformation projects or a cloud migration, make sure these changes won’t take down your entire organization.
Feb. 23, 2017 05:15 PM EST Reads: 1,166
Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and containers together help companies achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of Dev...
Feb. 23, 2017 04:30 PM EST Reads: 5,786
SYS-CON Events announced today that Outlyer, a monitoring service for DevOps and operations teams, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Outlyer is a monitoring service for DevOps and Operations teams running Cloud, SaaS, Microservices and IoT deployments. Designed for today's dynamic environments that need beyond cloud-scale monitoring, we make monitoring effortless so you...
Feb. 23, 2017 03:45 PM EST Reads: 1,664
Cloud Expo, Inc. has announced today that Andi Mann and Aruna Ravichandran have been named Co-Chairs of @DevOpsSummit at Cloud Expo 2017. The @DevOpsSummit at Cloud Expo New York will take place on June 6-8, 2017, at the Javits Center in New York City, New York, and @DevOpsSummit at Cloud Expo Silicon Valley will take place Oct. 31-Nov. 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Feb. 23, 2017 03:30 PM EST Reads: 1,632
SYS-CON Events announced today that CA Technologies has been named “Platinum Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY, and the 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business – from apparel to energy – is being rewritten by software. From ...
Feb. 23, 2017 03:00 PM EST Reads: 1,889
TechTarget storage websites are the best online information resource for news, tips and expert advice for the storage, backup and disaster recovery markets. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget attracts and nurtures communities of technology buyers researching their companies' information technology needs. By understanding these buyers' content consumption behaviors, TechTarget creates the purchase inte...
Feb. 23, 2017 01:15 PM EST Reads: 1,494
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In his general session at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, will explore...
Feb. 23, 2017 12:57 PM EST Reads: 590
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long developm...
Feb. 23, 2017 11:45 AM EST Reads: 1,335
DevOps and microservices are permeating software engineering teams broadly, whether these teams are in pure software shops but happen to run a business, such Uber and Airbnb, or in companies that rely heavily on software to run more traditional business, such as financial firms or high-end manufacturers. Microservices and DevOps have created software development and therefore business speed and agility benefits, but they have also created problems; specifically, they have created software securi...
Feb. 23, 2017 11:00 AM EST Reads: 3,455
The emerging Internet of Everything creates tremendous new opportunities for customer engagement and business model innovation. However, enterprises must overcome a number of critical challenges to bring these new solutions to market. In his session at @ThingsExpo, Michael Martin, CTO/CIO at nfrastructure, outlined these key challenges and recommended approaches for overcoming them to achieve speed and agility in the design, development and implementation of Internet of Everything solutions with...
Feb. 23, 2017 10:00 AM EST Reads: 7,255
"We provide DevOps solutions. We also partner with some key players in the DevOps space and we use the technology that we partner with to engineer custom solutions for different organizations," stated Himanshu Chhetri, CTO of Addteq, in this SYS-CON.tv interview at DevOps at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Feb. 23, 2017 07:00 AM EST Reads: 5,990
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, will discuss how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He will discuss how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
Feb. 23, 2017 06:00 AM EST Reads: 1,454
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of Soli...
Feb. 23, 2017 05:45 AM EST Reads: 820