|By Andreas Grabner||
|April 11, 2013 03:25 PM EDT||
We have been blogging about the same problems and problem patterns we see while working with our customers over the past few of years. There have always been the classic application performance landmines in the areas of inefficient database access, misconfigured frameworks, excessive memory usage, bloated web pages and not following common web performance best practices among others.
More than two years ago we posted summary blogs of the Top Server-Side Performance Problems and the Top 10 Client-Side Performance Problems to give operations, architects, testers and developers easy-to-consume best practices. We feel that it is time to provide an update to these best practices as new problem patterns have since come into play. We also want to cover more than just problems that happen within your application by broadening the scope across the entire Application Delivery Chain. This includes all components between your end user and your back-end systems, databases and third-party services. The following illustrates which components are involved and what the typical errors are along the delivery chain.
Delivering an application to the end user has become more complex as it involves more components than ever before. This also leaves a lot of room for mistakes that impact end-user experience.
Let's now dig a little deeper in some of the highlighted problem areas. The following lists our Top Performance Landmines that have been reported by our customers such as BonTon and Swarovski. Other companies include those in the financial services industry, manufacturing industry and energy industry among others. To make it easier for you to decide which landmines to read we also added the target audience for each problem area.
Bloated Web Front Ends
Audience: Operations, Architects, Testers, Developers
Often companies focus on optimizing the performance of the applications they deliver by tuning the code, reducing SQL overhead, implementing application caching, and other items that are, for the most part, invisible to the customer using the application. However, all of this effort and activity can go completely unnoticed if the content being delivered to customers is bloated and inefficient.
Sources we track show that the average page delivered to customers has been steadily increasing in size and complexity over the last 3-4 years as well as customers' expectations of performance. This continuous conflict of business vs customer expectations needs to be understood in order to be effectively managed. What companies need to realize is that what they consider to be fast and efficient doesn't really matter. If the customers using the site believe that the site is slow and hard to use, they won't use it and they will tell their friends about their poor experience.
Comparing your performance to top competitors in your industry as well as Internet leaders helps you set performance goals that can be achieved over time. Additionally, understanding why your customers leave your site can help you resolve customer experience issues: Is it a particular subset of customers who leave? Which page caused them to leave? Is there an application function on that page that is bloated and slow?
Comparing your site against peers in the same industry will help you understand where you rank.
Using caching, compression, CDNs, and a critical eye that asks questions about every new image, function, and feature you add, you can trim the weight of your site and deliver a better customer experience.
We discuss the performance degradation that can be traced to bloated front ends and how this affects site performance in Performance Improvement is not Performance Optimization and Super Bowl Sunday 2013 - Winners, Losers, and Casualties.
Slow Third-Party Content and CDNs
Audience: Operations, Architects, Testers
Focusing on your own content can leave you exposed to performance issues that originate outside your organization. With companies adding more content from third-party sources to their site, managing application performance becomes increasingly complex, even when these services are designed to improve performance.
During peak performance events over the last 12 months - holiday shopping season and the Super Bowl - two primary trends were seen: third-party services were overwhelmed when more than one of their customers reached peak traffic simultaneously and CDNs buckled under flash loads that were far larger than even the busiest days their customers typically experience.
Monitoring and managing third parties means treating them as unique applications, with their own baselines and Service Level Agreements (SLAs) and Service Level Objectives (SLOs). It sometimes means asking tough questions of these services, such as:
- Have you load tested your systems to see what happens when three of your largest customers experience peak traffic simultaneously?
- What is the escalation path we should follow with your team when we discover a performance issue that is affecting our customers?
- How well did your system perform during the eight busiest hours over the last 12 months, not just the average performance?
Monitor the impact of slow third-party and CDN content on your page load time.
Finally, your team needs to be prepared for the scenario where a third-party service or CDN suffers a severe outage or begins to seriously degrade your site performance. Always have a Plan B, C, etc. that gives you the ability to mitigate the issue. These plans could include removing third-party tags, images, and content from your site entirely during peak traffic, load balancing between multiple CDNs, moving content to a secondary cloud provider, all the way to switching to a simple bare bones site that removes all rich media until traffic returns to a normal level.
Unless you know how third parties affect your performance, there is no way for you to manage them effectively. Once you manage your third parties, you can take control of all aspects of your site performance.
More on third-party services and their effects on application performance is covered in: You only control 1/3 of your Page Load Performance!, Third Party Content Management applied: Four steps to gain control of your Page Load Performance!, The Ripple Effect of Facebook's Outage, Third-Party Issues and the Performance Ripple Effect, and Website's Vulnerability to Third-Party Services Exposed.
We also discuss third parties, most notably CDN performance in: Super Bowl Sunday 2013 - Winners, Losers, and Casualties, and Why Bon Ton needs real-time visibility into 85% of its content delivered by Akamai.
Wrong Usage of Frameworks
Audience: Architects, Developers
The following screenshot shows that Hibernate executes the same SQL query multiple times instead of caching the result from the first query. This happens in case Hibernate has not been configured correctly to perform optimally for your specific needs:
Loading a person two times in a row, but no session cache involved
Finally, frameworks get constantly updated to improve functionality but also improve performance and stability. You want to watch out for these updates and also update your implemented framework version to benefit from the improvements. We have seen cases where, e.g., jQuery was never updated leaving websites with bad performance on older browsers and sometimes even on newer browsers when older versions of jQuery didn't leverage the capabilities of the latest IE, FF, Chrome or Safari browsers.
Long-running CSS Class Name Lookups contribute about 80% to the Client-Side Load Time.
If you want to read more about common problems when using these types of frameworks check out our blogs series on Hibernate (The Session Cache, The Query Cache, Second Level Cache), the Top SharePoint Performance Mistakes or the 101 on jQuery Selector Performance.
Network Infrastructure Problems
Audience: Operations, Architects, Testers
Network infrastructure is an important component of every successful business operation. Performance problems experienced by end users can have various origins. The operation teams need Application Performance Monitoring solutions that will enable them to isolate fault domains effortlessly and quickly.
Sometimes the answer is not obvious and performance problems can end up in a "war room" between infrastructure and application providers. The team needs to analyze whether the problem is present at all locations where the application is executed. In certain cases, the performance problems might be caused by external infrastructure used by some users.
Performance problems can be pretty costly. According to the report by the Aberdeen Group they can reduce revenue by 9% and productivity by 64%. When our services are based on the SAP infrastructure the costs can rise to even $15,000 per every minute of a service downtime. Even though SAP provides tools to monitor its components, the proper APM solution should deliver a holistic view over the entire infrastructure. Only then can the Operations team tell whether it is a problem with SAP components that were quite an investment to deploy or it's an infrastructure problem that's not related to the SAP or any application.
Overview of SAP tier with top most under-performing modules and most affected users
The most obvious hints on whether this is a network or an application problem can be seen by checking for the Network and Server time outliers compared to the values of the baseline traffic. But eyeballing the reports is not enough to avoid problems. The first step toward proactive application performance management is to learn to respond promptly to alerts triggered by the APM tool when key measures go outside of the usual range.
Audience: Operations, Architects
"The Cloud" comes with a great promise: endless resources for endless scalability and performance when I need it. This eliminates the need to buy a lot of hardware that sits idle most of the time but is only used during peak traffic periods. It also allows me to scale and perform far beyond what is expected without needing to wait for additional hardware to ship.
But there are some gotchas: throwing hardware at an application that is not designed to scale in a cloud environment won't leverage the possibilities that the cloud provides. In fact, it often ends up being a very costly endeavor. One must also understand that The Cloud - unless we talk about a private cloud setting - is an environment that is not owned by you. Direct access to the underlying hardware is not as easy as if the hardware is located in the next room, which makes troubleshooting or monitoring much harder. The cloud is also not just an endless resource pool of CPU, Memory or Disk On-Demand. It provides lots of other services such as storage, messaging and more which one must understand and monitor for performance, as these services are key components of your application.
It is recommended to live monitor cloud instance usage and cost in order to not fall into a cost trap
Relating to these problem areas you want to read the following blog posts: Managing Hybrid Cloud Environments, Analyzing Performance of Windows Azure Storage, Why Performance Monitoring is easier in Public than onPremise Clouds and Monitoring your Clouds.
Too Many Database Calls
Audience: Architects, Testers, Developers
Database Access is the problem we see the most within the application. It is nothing new - but - as we still see it on almost every application we work with, it is critical enough to mention it again. The first lesson learned is that the blame is often not on the database side but on the access patterns of the application to the database. All too often we see a single web request that queries thousands of database statements. There are multiple reasons for it: fetching too much data beyond just the data that is needed or inefficient fetching of data that then gets aggregated and computed in the application rather than in a stored procedure. What is really interesting is that we see this problem pattern not only in distributed applications running on modern application servers. We also see it on "legacy" applications such as VB6 or even the mainframe. The following screenshot highlights the transaction flow of an enterprise application that calls the mainframe. The mainframe transaction makes 225 SQL executions per transaction. A closer look typically reveals that the same statements are called hundreds of times due to the reasons mentioned above:
The Transaction Flow highlights how services interact with each other including the number of interactions to DB2 which indicate a potential architectural and performance problem.
Besides these access pattern problems we also see individual statements that take a long time to execute. In this case, it is important to not only focus on the database to optimize statements by tweaking indices or the like, it's also important to analyze whether these queries can be optimized from within the application. We often see that too much data is retrieved from the database, which first gets parsed by the application (using extra memory) and is then thrown away (more GC activity). Another landmine is misconfigured connection pools or application code that holds on to connections too long and ends up blocking other threads from accessing the database.
The following screenshot shows the database queries executed by a single transaction, most of them taking very long to execute. The fix to this problem was to optimize these statements in both the application and in the database:
The architects in this case started by optimizing SQL statements that took a long time to execute and those that got executed several times within the same transaction.
For further reading check out our blogs with more detailed background on these problem patterns such as Don't let your load balancers ruin your holiday business or Saving MIPS and Money. For connection pool problems we also have one interesting blog named The reason I don't monitor connection pool usage.
Big Data Not Optimized
Audience: Operations, Architects, Testers, Developers
The amount of data that we and our applications have to process is constantly growing. Big Data solutions (NoSQL, MapReduce...) provide new approaches to storing and processing large amount of data. But as with every technology it needs to be used in an optimized way to fit your specific needs. It is a misconception that you can simply process more data by adding additional resources to, e.g., a MapReduce cluster in order to speed up data processing. This only works if you have implemented your jobs in a way that allows them to scale. The same is true for accessing data from a NoSQL database. The same problems we see with relational databases also apply to accessing data in Big Data solutions. If you make inefficient queries or more queries than necessary, you are going to impact performance.
The following screenshot highlights a transaction that spends most of its time in MongoDB. A closer look into this revealed that the framework used to access MongoDB made a call to a size method of the cursor that then executed an additional query to MongoDB, which was totally unnecessary. In this example, eliminating that call reduced roundtrips to MongoDB and improved overall transaction performance by 15x:
Transactions that call JourneyCollection.getCount spend nearly half their time in MongoDB.
If you are using Big Data technologies such as Cassandra, MongoDB, Hadoop, or the like I suggest following up with the following blog posts that explain some of the problem patterns and highlight best practices: MongoDB Anti-Pattern, NoSQL vs Traditional Databases, Inside Cassandra Write Performance and What we can Learn from Cassandra Pagination. Also check out 15x Performance Improvements for Pig+HBase.
Undetected Memory Leaks
Audience: Architects, Testers, Developers
Memory and Garbage Collection problems are still very prominent issues in any enterprise application. One of the reasons is that the very nature of Garbage Collection is often misunderstood. Besides the traditional memory-related problems such as high memory usage, wrong cache usage strategies, we also see memory issues related to class loading, large classes or native memory. The following screenshot shows the problem of having single objects consuming a lot of memory. Not that this is a bad idea if necessary - but too often this happens because information is kept in memory for no apparent reason and with that consuming memory that is not available for others.
Single Object that is responsible for a big portion of the memory being leaked
Traditional memory leaks often lead to out of memory exceptions and typically to crashes of the virtual machines. This has a negative impact on the end user as the current context of user sessions and active transactions might be lost.
High memory usage on the other hand can result in high garbage collection, which has a direct impact on end user response time. Transactions that are suspended because of long running garbage collection processing can be optimized by tweaking garbage collection settings as well as being less "wasteful" with memory.
Even problems related to wrong implementations of equals/hashcode can lead to memory problems. To address this problem we wrote a full chapter on Memory Management in our Java Enterprise Performance book that explains concepts like How Garbage Collection works, Difference between JVMs, GC Tuning, High Memory Usage and the Root Cause, Class Load Related Problems and more. We have also blogged about specific memory scenarios - check out the following blogs: Memory Monitoring in WebSphere Environments, GC Bottlenecks in Heterogeneous Environments, Leak Detection in Production Environments, Top Memory Problems - Part I and Part II.
More to Come...
These landmines are some highlights with links to more detailed blog posts. As we continue to blog about these problem patterns, we plan to compile a second list of problems later this year. Keep watching our blog for more information and check out our online book on Java Enterprise Performance.
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. 19, 2017 05:45 PM EST Reads: 5,180
In his session at 20th Cloud Expo, Mike Johnston, an infrastructure engineer at Supergiant.io, will discuss how to use Kubernetes to setup a SaaS infrastructure for your business. Mike Johnston is an infrastructure engineer at Supergiant.io with over 12 years of experience designing, deploying, and maintaining server and workstation infrastructure at all scales. He has experience with brick and mortar data centers as well as cloud providers like Digital Ocean, Amazon Web Services, and Rackspace....
Feb. 19, 2017 02:30 PM EST Reads: 2,063
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. 19, 2017 02:00 PM EST Reads: 876
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. 19, 2017 11:30 AM EST Reads: 849
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. 19, 2017 11:30 AM EST Reads: 758
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. 19, 2017 11:00 AM EST Reads: 2,906
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, Cloud Expo and @ThingsExpo are two of the most important technology events of the year. Since its launch over eight years ago, Cloud Expo and @ThingsExpo have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, I provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading the...
Feb. 19, 2017 10:45 AM EST Reads: 7,645
@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. 19, 2017 10:45 AM EST Reads: 783
In their general session at 16th Cloud Expo, Michael Piccininni, Global Account Manager - Cloud SP at EMC Corporation, and Mike Dietze, Regional Director at Windstream Hosted Solutions, reviewed next generation cloud services, including the Windstream-EMC Tier Storage solutions, and discussed how to increase efficiencies, improve service delivery and enhance corporate cloud solution development. Michael Piccininni is Global Account Manager – Cloud SP at EMC Corporation. He has been engaged in t...
Feb. 19, 2017 10:00 AM EST Reads: 5,706
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. 19, 2017 09:45 AM EST Reads: 755
Software development is a moving target. You have to keep your eye on trends in the tech space that haven’t even happened yet just to stay current. Consider what’s happened with augmented reality (AR) in this year alone. If you said you were working on an AR app in 2015, you might have gotten a lot of blank stares or jokes about Google Glass. Then Pokémon GO happened. Like AR, the trends listed below have been building steam for some time, but they’ll be taking off in surprising new directions b...
Feb. 19, 2017 07:30 AM EST Reads: 3,143
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound e...
Feb. 19, 2017 04:00 AM EST Reads: 10,979
"We're bringing out a new application monitoring system to the DevOps space. It manages large enterprise applications that are distributed throughout a node in many enterprises and we manage them as one collective," explained Kevin Barnes, President of eCube Systems, 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. 18, 2017 09:30 PM EST Reads: 6,250
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. 18, 2017 06:15 PM EST Reads: 5,775
Docker containers have brought great opportunities to shorten the deployment process through continuous integration and the delivery of applications and microservices. This applies equally to enterprise data centers as well as the cloud. In his session at 20th Cloud Expo, Jari Kolehmainen, founder and CTO of Kontena, will discuss solutions and benefits of a deeply integrated deployment pipeline using technologies such as container management platforms, Docker containers, and the drone.io Cl tool...
Feb. 18, 2017 05:15 PM EST Reads: 1,810
In 2014, Amazon announced a new form of compute called Lambda. We didn't know it at the time, but this represented a fundamental shift in what we expect from cloud computing. Now, all of the major cloud computing vendors want to take part in this disruptive technology. In his session at 20th Cloud Expo, John Jelinek IV, a web developer at Linux Academy, will discuss why major players like AWS, Microsoft Azure, IBM Bluemix, and Google Cloud Platform are all trying to sidestep VMs and containers...
Feb. 18, 2017 04:15 PM EST Reads: 1,941
DevOps has often been described in terms of CAMS: Culture, Automation, Measuring, Sharing. While we’ve seen a lot of focus on the “A” and even on the “M”, there are very few examples of why the “C" is equally important in the DevOps equation. In her session at @DevOps Summit, Lori MacVittie, of F5 Networks, explored HTTP/1 and HTTP/2 along with Microservices to illustrate why a collaborative culture between Dev, Ops, and the Network is critical to ensuring success.
Feb. 18, 2017 03:00 PM EST Reads: 7,392
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
Feb. 18, 2017 12:15 PM EST Reads: 4,232
In his General Session at 16th Cloud Expo, David Shacochis, host of The Hybrid IT Files podcast and Vice President at CenturyLink, investigated three key trends of the “gigabit economy" though the story of a Fortune 500 communications company in transformation. Narrating how multi-modal hybrid IT, service automation, and agile delivery all intersect, he will cover the role of storytelling and empathy in achieving strategic alignment between the enterprise and its information technology.
Feb. 18, 2017 08:00 AM EST Reads: 5,326
Both SaaS vendors and SaaS buyers are going “all-in” to hyperscale IaaS platforms such as AWS, which is disrupting the SaaS value proposition. Why should the enterprise SaaS consumer pay for the SaaS service if their data is resident in adjacent AWS S3 buckets? If both SaaS sellers and buyers are using the same cloud tools, automation and pay-per-transaction model offered by IaaS platforms, then why not host the “shrink-wrapped” software in the customers’ cloud? Further, serverless computing, cl...
Feb. 18, 2017 06:00 AM EST Reads: 1,606