Top Factors That Impact Application Performance 2016 - Part 5
October 18, 2016
Share this

In 2013, APMdigest published a list called 15 Top Factors That Impact Application Performance. Even today, this is one of the most popular pieces of content on the site. And for good reason – the whole concept of Application Performance Management (APM) starts with identifying the factors that impact application performance, and then doing something about it. However, in the fast moving world of IT, many aspects of application performance have changed in the 3 years since the list was published. And many new experts have come on the scene. So APMdigest is updating the list for 2016, and you will be surprised how much it has changed.

Start with Top Factors That Impact Application Performance 2016 - Part 1

Start with Top Factors That Impact Application Performance 2016 - Part 2

Start with Top Factors That Impact Application Performance 2016 - Part 3

Start with Top Factors That Impact Application Performance 2016 - Part 4

Part 5 is the final installment of the list of top factors that impact application performance.

27. CODE INTEGRATION

As application topologies become more and more distributed, the need for seamless code integration between applications in new releases has become a significant factor in application performance. This is especially true in the case of expanding IT departments when new employees are not always familiar with the application topologies and dependencies in an organization.
Lanir Shacham
Founder & CEO, Correlsense

28. PACE OF INNOVATION

Developers are reacting to unrelenting pressure from the business to implement more business functionality in less time, at a lower cost (of development) and to then evolve that code more frequently. These pressures have caused there to be a tremendous amount of innovation in process areas like Agile and DevOps, and in new languages (PHP, Python, Ruby, Node-JS) that collectively improve developer productivity. But all of these process and technology improvements abstract the developer from the performance characteristics of their code. Docker is just the latest example of this. So the number one factor that impacts application performance is that the pace of innovation in the application stacks in response to business pressures makes measuring and ensuring application performance more difficult. This is THE challenge that the APM vendors must address
Bernd Harzog
CEO, OpsDataStore

29. LACK OF TESTING

Not testing performance early in development and not testing it later in production. Today's tools make it easier to "shift-left" moving performance testing into the development cycle so that all new code can have not only unit, smoke, and functional tests, but also performance tests that will detect performance regressions and defects before the code becomes part of the project. Allowing code that performs poorly into a project increases the cost to address this defect later. Adding performance testing as a ‘shift-right' into production ensures that the production system truly can scale and perform well when demand is higher than a development or pre-prod test would simulate. Testing in production also allows testing third-party components as a part of an integrated performance load test. You don't want a third-party feature to be the blocking item that can't perform at scale.
Tom Chavez
Sr. Evangelist, SOASTA

The biggest factor that impacts application performance is a lack of experience, which includes knowledge. Performance (meaning transactional performance and scalability) gets plenty of lip service, but how many people really test for performance at every build? Think about a scalable and fast architecture from day 1, from the messaging platform to the backend to the use of Angular to the load balancers: Everything has an impact. A culture of testing at every build, and setting clear SLA's drives true performance. There is no way around it.
Kevin Surace
CEO, Appvance

30. INEFFICIENT COMMUNICATION

Over the past decade, IT Organizations have heavily invested in APM and UEM solutions to become aware of potential performance issues even before consumers of the service felt the pain. New generation APM tools go even further with infrastructure discovery, analytics and deep code analysis to refine and speed up the diagnosis process when something goes wrong. This is all good, but it must be recognized however, that these same organizations tend to spoil all these efficiency gains because of immature communication processes. I believe that no matter how fast IT becomes aware of an application performance issue, today, the top factor that impacts application performance and customer experience is really the ability or inability for the IT organization to respond quickly enough and prevent the issue from getting bigger and the performance from deteriorating even more.
Vincent Geffray
Senior Director of Product Marketing, IT Alerting & IoT, Everbridge

31. CHANGE

Numerous factors can impact application performance - a mistake in design, application defects, insufficient capacity and many others. However, for each of such factors to impact the application, a change should happen. Application, infrastructure, data, workload or capacity – something should change for performance to deteriorate. Hence, the top factor that impacts application performance is a change. To ensure maximum performance it is critical to know "what's changed?” and be able to detect early changes that are causing negative impact. Today, most application performance management tools still mainly focus on application transaction performance and availability. Leading vendors started to explore application logs looking for additional information about application behavior. Change is a key missing piece required to manage application performance. Change detection, change correlation with performance events, and risk assessment of changes are critical capabilities IT Operations needs to become truly proactive in maintaining optimal application performance.
Sasha Gilenson
CEO, Evolven

32. UNKNOWN UNKNOWNS

From reading APM reviews on IT Central Station, I see that it is a common theme that an "unknown unknown" is what most concerns IT and DevOps managers. Examples of these "unknown unknowns" that impact app performance include factors such as the way an application responds to an unanticipated application behavior (e.g. "80% of users are coming from mobile devices!"), user behavior (e.g. "We didn't expect users to keep hitting that button.") and/or load (e.g. "Traffic spike of 600% during the summer!?").
Russell Rothstein
Founder and CEO, IT Central Station

Check out APM reviews on IT Central Station

Share this

The Latest

August 02, 2021

In a hybrid work environment, employees connect through different channels, and their functional roles and responsibilities span both digital and physical boundaries. The interplay between these two worlds is creating new challenges for many workers and companies ...

July 29, 2021

Consumers have also become accustomed to what type of experiences they can expect from an application, with reliability and consistent performance being two of the biggest demands. If these expectations from consumers are not met, they look elsewhere for a service that will provide a stellar experience, leading to a loss in customers. Poor performance is no longer an option, and consumers believe it's the business' responsibility to ensure everything performs seamlessly ...

July 28, 2021

Business leaders are in the unique position of having immediate access to huge amounts of data in today's smartphone and laptop-dominated world. They are also under pressure to make data-driven decisions and mobile business intelligence can one of the most valuable decision making tools in their arsenal ...

July 27, 2021

Unlike some AI initiatives, AIOps doesn't always necessitate the use of a data scientist, so don't let hiring expenses put your AIOps initiatives on hold. It is always nice to have IT team members with AI skills, but this becomes less critical as more intelligent solutions come into prominence that offer AIOps features out of the box, a readily deployable option for IT ...

July 26, 2021

AIOps is rapidly becoming a de-facto option for enterprises' IT strategies, with nearly immeasurable benefits to be provided. However, AIOps is still a relatively new discipline and misconceptions surrounding the technology's capabilities and uses have caused bottlenecks and roadblocks in its widespread adoption. So, what should organizations expect from AIOps? How can organizations that want to digitally transform their IT pursue AIOps for maximum benefit? ...

July 22, 2021

In response to the global pandemic, companies have given their workforce the tools they need to work remote. And research shows it has increased their engagement and productivity. But these gains are on the brink of being wiped out. According to a new study from Citrix Systems, Inc., employees feel they've been given too many tools and not enough efficient ways to execute. And it's hindering their ability to get things done ...

July 21, 2021

The third installment of Aptum's four-part Cloud Impact Study, A Bright Forecast on Cloud, presents data showing the benefits organizations gain from cloud computing, as well as mistakes to avoid during migration. As organizations migrate workloads to different cloud platforms, they often run into unexpected challenges due to a lack of proactive planning. Here are a few key findings from Part 3 of the Cloud Impact Study ...

July 20, 2021

Currently, (and most likely well into the future) the overwhelming majority of organizations still need to monitor and maintain enterprise applications. Moreover, where these are complex systems developed, debugged and refined over years, often decades, around a business's core processes, there can also be very strong practical arguments for viewing them as classics. They can offer a valuable legacy, one best left where it is, doing what it does, how it always has done ...

July 19, 2021

Anti-patterns involve realizing a problem and implementing a non-optimal solution that is broadly embraced as the go-to method for solving that problem. This solution sounds good in theory, but for one reason or another it is not the best means of solving the problem. Anti-patterns are common across IT as well, especially around application monitoring and observability. One that is particularly prevalent is in response to the increasing complexity of cloud-native infrastructure and applications ...

July 15, 2021

The introduction of the latest technology — such as AI and machine learning — can be seen as a way for organizations to accelerate growth, increase efficiency, and improve customer service. However, the truth is that the technology alone will do little to deliver on these business outcomes. AI for IT operations (AIOps) is one area where the application of technology, if not matched with organizational maturity readiness, will fail to deliver all the promised benefits ...