From apmblog. Adding more hardware for sure will make your system healthier — but it comes with a price tag that might not be necessary. In this first blog about SharePoint Sanity Checks, I show you that there are ways to figure out which sites, pages, views, custom or 3 rd party Web Parts from AvePoint, K2, Nintex, Metalogix … in your SharePoint environment are wasteful with resources so that you can fix the root cause and not just fight the symptom. The following is a screenshot that shows this information on a single dashboard. In case some of your SharePoint AppPools consumes too many resources on that machine, you may want to consider deploying them to a different server. If you see high disk utilization it is important to check what is causing it.

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From apmblog. Adding more hardware for sure will make your system healthier — but it comes with a price tag that might not be necessary. In this first blog about SharePoint Sanity Checks, I show you that there are ways to figure out which sites, pages, views, custom or 3 rd party Web Parts from AvePoint, K2, Nintex, Metalogix … in your SharePoint environment are wasteful with resources so that you can fix the root cause and not just fight the symptom.

The following is a screenshot that shows this information on a single dashboard. In case some of your SharePoint AppPools consumes too many resources on that machine, you may want to consider deploying them to a different server. If you see high disk utilization it is important to check what is causing it.

I typically look closer at:. I already covered some IIS metrics in Step 1 but I want you to have a closer look at these IIS specific metrics such as current load, available vs used worker threads and bandwidth requirements:.

If resources are maxed out I always want to find out which components are actually using these resources. Because we should first try to optimize these components before we give them more resources. I look at the following dashboard for a quick sanity check:. A good SharePoint health metric is response time of SharePoint pages.

I look at the following metrics and data points to figure out what causes these spikes which most often directly correlate to higher resource consumption such as Memory, CPU, Disk and Network:. The reason why Web Parts and Pages are slow can be caused by bad deployments, wrong configuration or really just bad coding.

This is what I am going to focus on in my next blog post! I am interested to hear what you think about these metrics and please share ones with me that you use. In the next blog I will cover how to go deeper into SharePoint to identify the root cause of an unhealthy or slow system. Our first action should never be to just throw more hardware at the problem, but rather to understand the issue and optimize the situation.

Triggered by current expected load projections for our community portal, our Apps Team was tasked to run a stress on our production system to verify whether we can handle 10 times the load we currently experience on our existing infrastructure. In order to have the least impact in the event the site crumbled under the load, we decided to run the first test on a Sunday afternoon. Before we ran the test we gave our Operations Team a heads-up: they could expect significant load during a two hour window with the potential to affect other applications that also run on the same environment.

During the test, with both the Ops and Application Teams watching the live performance data, we all saw end user response time go through the roof and the underlying infrastructure running out of resources when we hit a certain load level. What was very interesting in this exercise is that both the Application and Ops teams looked at the same data but examined the results from a different angle.

However, they both relied on the recently announced Compuware PureStack Technology , the first solution that — in combination with dynaTrace PurePath — exposes how IT infrastructure impacts the performance of critical business applications in heavy production environments.

The root cause of the poor performance in our scenario was CPU exhaustion — on a main server machine hosting both the Web and App Server — caused us not to meet our load goal. This turned out to be both an IT provisioning and an application problem.

Let me explain the steps these teams took and how they came up with their list of action items in order to improve the current system performance in order to do better in the second scheduled test.

Operations Teams like having the ability to look at their list of servers and quickly see that all critical indicators CPU, Memory, Network, Disk, etc are green.

But when they looked at the server landscape when our load test reached its peak, their dashboard showed them that two of their machines were having problems:. The core server for our community portal shows problems with the CPU and is impacting one of the applications that run on it.

Clicking on the Impacted Applications Tab shows us the applications that run on the affected machine and which ones are currently impacted:. Already the load test has taught us something: As we expect higher load on the community in the future, we might need to move the support portal to a different machine to avoid any impact. When examined independently, operations-oriented monitoring would not be that telling. But when it is placed in a context that relates it to data end user response time, user experience, … important to the Applications team, both teams gain more insight.

This is a good start, but there is still more to learn. Clicking on the Community Portal application link shows us the transactions and pages that are actually impacted by the infrastructure issue, but there still are two critical unanswered questions:. The automatic baseline tells us that our response time for our main community pages shows significant performance impact.

This also includes our homepage which is the most valuable page for us. The transaction-flow diagram is a great way to get both the Ops and App Teams on the same page and view data in its full context, showing the application tiers involved, the physical and virtual machines they are running on, and where the hotspots are.

There are also some unusual spikes in Network, Disk and Page Faults that all correlated by time. A closer look shows how they are doing over time:. We are not running out of worker threads. Transfer Rate is rather flat. This tells us that the Web Server is waiting on the response from the Application Server. The number of processed transactions actually drops. Our Apps Team is now interested in figuring out what consumes all this CPU and whether this is something we can fix in the application code or whether we need more CPU power:.

Exceptions that capture stack trace information for logging are caused by missing resources and problems with authentication. With our new service platform and the convergence of dynaTrace PurePath Technology with the Gomez Performance Network, we are proud to offer an APMaaS solution that sets a higher bar for complete user experience management, with end-to-end monitoring technologies that include real-user, synthetic, third-party service monitoring, and business impact analysis.

To showcase the capabilities we used the free trial on our own about:performance blog as a demonstration platform. With only 4 steps we get full availability monitoring as well as visibility into every one of our visitors and can pinpoint any problem on our blog to problems in the browser JavaScript, slow 3 rd party, … , the network slow network connectivity, bloated website,..

Compuware APMaaS is a secure service to monitor every single end user on your application end-to-end browser to database. From a high-level perspective, joining Compuware APMaaS and setting up your environment consists of four basic steps:.

After signing up with Compuware, the first sign of your new Compuware APMaaS environment will be an email notifying you that a new environment instance has been created:. To show the integrated capabilities of the complete Compuware APM platform, Availability is measured using Synthetic Monitors that constantly check our blog while all of the other values are taken from real end user monitoring. Through the dynaTrace client we get a richer view to the real end user data.

NET agents, and features like the application overview together with our self-learning automatic baselining will just work the same way regardless of the server-side technology:.

Application level details show us that we had a response time problem and that we currently have several unhappy end users. The UEM Key Metrics dashboards give us the key metrics of web analytics tools as well as tying it together with performance data. Visitors from remote locations are obviously impacted in their user experience. The following screenshot shows us that we automatically get dynamic baselines calculated for these identified business transaction:. Dynamic Baselining detect a significant violation of the baseline during a 4.

Here we see that our overall response time for requests by category slowed down on May The Transaction Flow shows us a lot of interesting points such as Errors that happen both in the browser and the WordPress instance. It also shows that we are heavy on 3rd party but good on server health.

Apparently, some of the third party widgets we have on the blog caused JavaScript errors for some users. We can also see which browsers, versions and devices this happens on to focus our optimization efforts. We will show you what the steps are to identify problematic PHP code.

In our case it actually turned out to be a problematic plugin that helps us identify bad requests requests from bots, …. Stay tuned for more posts on this topic, or try Compuware APMaaS out yourself by signing up here for the free trial! For organisations that depend on high-performance applications, the collection provides an easy-to-absorb overview of the evolution of APM technology, best practices, methodology and techniques to help manage and optimize application performance.

The collection not only explores APM technology but also examines the related business implications and provides recommendations for how best to leverage APM. Swarovski — the leading producer of cut crystal in the world- relies on its eCommerce store as much like other companies in the highly competitive eCommerce environment.

There were bumps along the road and they realized that it takes more than just a bunch of servers and tools to keep the site running. Their challenges required them to apply Application Performance Management APM practices to ensure they could fulfill the business requirements to keep pace with customer growth while maintaining an excellent user experience.

APM is a culture, a mindset and a set of business processes. APM software supports that. By now they reached the next level of maturity by establishing a Performance Center of Excellence.

This allows them to tackle application performance proactively throughout the organization instead of putting out fires reactively in production.

This blog post describes the challenges they faced, the questions that arose and the new generation APM requirements that paved the way forward in their performance journey:. Swarvoski had traditional system monitoring in place on all their systems across their delivery chain including web servers, application servers, SAP, database servers, external systems and the network. Knowing that each individual component is up and running How might these individual component outages impact the user experience of their online shoppers?

WHO is actually responsible for the end user experience and HOW should you monitor the complete delivery chain and not just the individual components? These and other questions came up when the eCommerce site attracted more customers which was quickly followed by more complaints about their user experience:. APM includes getting a holistic view of the complete delivery chain and requires someone to be responsible for end user experience.

These unanswered questions triggered the need to move away from traditional system monitoring and develop the requirements for new generation APM and user experience management. Based on their current system architecture it was clear that Swarovski needed an approach that was able to work in their architecture, now and in the future.

The rise of more interactive Web 2. Transactions need to be followed from the browser all the way back to the database. It is important to support distributed transactions.

This approach also helps to spot architectural and deployment problems immediately. Based on their experience, Swarovski knew that looking at average values or sampled data would not be helpful when customers complained about bad performance. Averages or sampling also hides the real problems you have in your system.

Measuring end user performance of every customer interaction allows for quick identification of regional problems with CDNs, 3rd Parties or Latency.

As the business had a growing interest in the success of the eCommerce platform, IT had to demonstrate to the business what it took to fulfill their requirements and how business requirements are impacted by the availability or the lack of investment in the application delivery chain.

Correlating the number of Visits with Performance on incoming Orders illustrates the measurable impact of performance on revenue and what it takes to support business requirements.

It was important to not only track transactions involving their own Data Center but ALL user interactions with their web site — even those delivered through CDNs or 3rd parties. All of these interactions make up the user experience and therefore ALL of it needs to be analyzed. Seeing the actual load impact of 3rd party components or content delivered from CDNs enables IT to pinpoint user experience problems that originate outside their own data center.


Dynatrace one tutorial

This is the most comprehensive , yet straight-forward , course for Dynatrace Full-Stack Monitoring! I have designed this course considering students working in different job roles. This course includes animated presentation , demos and supplemental Resources. This course will help you to learn Dynatrace Monitoring in a practical manner , with every Chapter having at least one demo lecture. More than fifty percent of this course is focused on delivering demos , which helps you to learn Dynatrace in practical way and you will be ready to work on Dynatrace on completing this course.


Learn Dynatrace Setup & Full-Stack Monitoring with Demos

When we develop a new application, we face a lot of complex issues related to performance of our application and there are many layers of complexity in our application and to get rid of those issues we use dyntrace and with the help of this we are able to find the root cause of the complexity. It comes with advanced features for monitoring Java. Through which we can easily identify the performance of our application. It has helped to diagnose and fix many performance issues at an early stage and make our application more value able.


Tutorial 1: DYNATRACE -Application PERFORMANCE Monitoring (APM) TOOL

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