Monthly Archives: July 2016

How many of us IT professionals have been in a meeting similar to this:  The chairs of various departments throughout the company are sitting around a long table and are giving a monthly summary.  IT presents that the applications, network and servers were some amount of 9’s available and may explain an outage.  The meeting goes on and then one of the heads explains a failure to meet department goals by stating some application was ‘slow’.  IT is asked about it but unfortunately can only present data upon number of tickets and general up time.  The slow comment is then picked up another department and IT is left in the untenable position of defending its metrics and supposedly achieved goals while other departments are blaming IT for lack of productivity. 

 

The real problem is one of communication of expectations.  IT has data that supports availability but the customer is complaining of slowness.  Slowness is a subjective term and for IT to resolve the difficulty different metrics and SLAs are needed.  Fortunately, there is a perfectly good way to measure slowness – time.  When we think of availability we need to understand we are actually speaking of capacity while the users are interested in throughput.  By measuring transaction time (the amount of time it takes for the user to commit an action and receive the corresponding data from the program they are using) IT can state how fast an application is working in objective terms.  SLAs can be established that some percentage of the transactions during a reporting period will be completed within a certain amount of time.  This allows business decisions based upon performance and is a salve for the mysterious ‘slow’ comment.

 

Availability is one of the early metrics IT has used to create a simple number to represent complex systems.

 

Using an Application Performance Management tool like AppEnsure allows better business decisions by the use of an a well know metric – time.

 

A few months ago, I was asking a potential customer about how his IT resolves their performance issues.

I started the discussion  with few questions. Then I asked him, “What do you look for when your  end user complains about application performance issues?”

He  said , “ We check all of the resources to see if all lights are green or red.”

I asked him, “ What do you do if lights are red?”

“We allocate more resources to our servers to see if the performance gets better.”

“Why do you think server resources are causing the problem?”

He replied with a laugh, “Today we have tools that report red or green. But we don’t have tools in IT that tell us where the hell the delay is!”

Then he asked me ,”Why, do you have something that tells us what the user is experiencing? Or is your product yet another monitoring tool?”

My response was “No, we are not ‘Yet another monitoring tool’. With our tool you can see what the user is experiencing.”

“Well, I need a tool that tells me where the actual slowness is coming from and can show me what the end user is complaining about”.

End users using applications delivered through Citrix or delivered directly sometimes complain that their applications are slow. Today, IT operations should look for tools that tell how the End User Experience is getting affected when their applications are running slowly.  IT operations needs an out-of-box solution that reports the End User Experience. AppEnsure measures End User experience.

Our AppEnsure end user centric solution has benefits for Citrix IT operations because AppEnsure measures the response times of every application that relies on the backend application infrastructure. AppEnsure is a true Application Performance Measurement tool. Many monitoring tools out there don’t have this visibility. End User Experience is determined by measuring packet response time, and we measure it by flow analysis, not synthetic transactions.

The AppEnsure Topology view graphically shows the current response times from the application throughout all of the backend infrastructure. You can visually pick out just where the delay begins and immediately know which server or device is causing the delay.

 

 

There is also a User Centric with Application view that shows the backend response times in correlation with resources used by the application.

 

 

As I was describing this to him he said,” This is measuring the user experience by pointing to backend response time and latency. Today when our end users complain, we don’t have visibility like this, so we are just relying on provisioning additional resources and then somehow looking to see if the problem the user sees is getting better”.

AppEnsure monitors the response times of every user in every application across multiple silos, and gives visibility into real End User Experience. With AppEnsure you immediately know exactly where the hell the delay is.

 

IT has access to an amazing amount of data.  Often we collect hundreds of data points on one server such as individual processor load, thread state, disk throughput both in and out etc.  We then store this in a bin and use this to create a metric called something similar to server performance.  When it comes time to provide reports (weekly, monthly and so on) IT then assign some poor person the job of collating this information.  This is usually done by running a report and importing it into a spread sheet and then combining various servers and metrics into some grouping and calling it an application.  Then some numbers are calculated and saved in the spreadsheet to create a performance over time graph.  The same is done with database numbers, application performance, network statistics etc.  This process is then repeated by levels of management combining more numbers into a single number to represent a service performance to allow reporting to more senior levels of management.

 

Data Management and IT – Operational Intelligence

 

Given that IT is all about automating processes this has struck me as somewhat backwards.  IT by and large is staffed by realists – the type that don’t respond well to marketing, want solutions and have little time for repetition.  A second reality is that IT is a fledgling science.  While it has a century under its’ belt it has not developed some niceties like the common taxonomy of biology; every company creates its own rankings and groupings of IT functions. Quite often a great deal of resources are used in creating the custom taxonomy.   To add to the frustration of IT managers everywhere different off the shelf applications also present data in the taxonomy that is coded specific to that application.  It becomes more and more difficult to extract and combine data in a meaningful way.

 

An IT user friendly application should allow its user base to create rules for the grouping of data for reports.  By allowing atomic bits of data such as unused server capacity for a select group of servers it now can report on the unused server capacity for an application.  Using this application data as a new data point the well-designed application will allow another ad hoc grouping to provide information on an over-all service.  This process of using groups to create other groups goes on as needed until the application is configured to match the taxonomy the company has designed.  Instead of complex calculations each month a one-time setup is created and automation is achieved.  By allowing different data elements to be members of more than one group we can avoid a second common pitfall such as the question of factoring the time of DNS queries or a multi-application database server.

 

IT needs to save time and its internal applications need to accept the reality reporting against an ever changing data set that is custom to each company that uses it.

 

AppEnsure and its grouping solution is great example of allowing customization that allows in depth and summary information to be used in near real time and in management reporting that is meaningful to different levels and verticals in an organization.

 

After more than 20 years of experience with Citrix application delivery I and most of my customers are getting tired to take the blame for sluggish application performance and finger pointing that goes every time there is an issue with application performance.

Today success of Citrix deployments is crucial to many of my customers, because they are designing their entire IT delivery around Citrix technology. Nothing shines a light on an IT team’s success or failure as much as the application performance and availability does. With high uptimes as IT’s priority in the past, they need to adapt a more holistic approach to performance management and decision analytics today. New tools entering the market can help companies leverage IT investments made. There is a need to discover, interpret and respond to the myriad events that impact IT operations, security, compliance and competitiveness. Frankly speaking IT cannot depend on the help desk to be its eyes and ears for keeping systems running at their best, they need to have bulletproof data to prove their SLA obligations.

 

Monitoring solution designed with End-User transactional performance in mind, will provide IT Ops with application performance and virtual desktop performance correlated with user productivity. Armed with this data, IT Ops can rapidly investigate users’ complaints of poor app performance, determine other impacted users and the likely root causes resolving the issue before workforce productivity is impacted. For that reason, organizations will increasingly be using application performance metrics such as application and transaction response times and end-user experience indexes that allow them to monitor the speed of applications and to evaluate the quality of the end-user experience. Plenty of CPU resources, network bandwidth to spare, affordable storage space and Big Data analyses will help to build passive monitoring systems and solutions which are able to deal with the huge amount of data gathered by the monitoring sensors installed.

 

We at X-Tech believe that AppEnsure offers a monitoring solution as described above.  As technology was promising when introduced to us couple of years ago, we partnered and worked closely with AppEnsure to fine tune the solution as end-user centric for Citrix deployments.

 

When you are working in IT Operations, your customer is the person who sends a request. Think back to being in front of a bank cashier or at a checkout counter when you insert you card. What do you expect? You expect:

 

·         the correct response (I took your money)

·         within the expected time, usually a couple of seconds.

 

Those are the two main benefits your data center provides. If you don’t provide those benefits your business loses customers. It will filter down to you through sales, then marketing, then the CIO then – what are you going to do now?

 

If your data center is carefully monitoring all the hardware (servers, drives, routers, etc.) and all of the software (each OS, each process, each FIFO, etc.) you cannot detect if your customer is getting a response in the time they expect. You will see availability of the resources but not the quality of service or end-user experience.

 

You have to look at what the customer sees.

 

You have to watch each request from your customer and measure the response time of the reply to that packet to see what your customer sees.  That is the second benefit you provide to your customer. This works only if you measure the response time of EVERY customer request and raise an intelligent, actionable alert when the response time deviates from what has been working just fine. AppEnsure does this.

 

With AppEnsure you can:

 

·         immediately inform affected customers that you know about the delay

·         immediately start working around and/or fixing the delay where it is occurring.

 

How do you immediately get the information you need to fix the problem? Go back to where I said, “an intelligent, actionable alert”.

 

AppEnsure operates with an agent on every application server. When an unusual delay is detected the agent immediately runs down the path of the requesting packet and checks all the devices on the path. It’s looking for anything unexpected like broken links, delayed connections, full buffers, or overloaded disk drives. All the agents watch all device error messages from disk drives, DNS, firewalls etc. These agents send all of this data to the Master where the data is all intelligently cross correlated to come up with a report that says:

 

·         most likely cause of the problem

·         where the problem is

·         suggested fixes

 

Now within a few seconds you know what is needed to work around the problem to keep your customers happy and you know what to investigate for a long term solution.

 

With AppEnsure you are providing satisfactory benefits to your customers and resolving issues before they get to your management.