3 Ways for Enterprises to Optimize APM and IPM Investments
February 07, 2017

John Kim
HighBar Partners

Share this

As enterprises leverage scarce hardware resources within increasingly virtualized environments, storage has proven to be a common culprit behind application performance issues. In response to this problem, sophisticated tools have emerged that allow IT organizations to understand and manage application storage performance requirements and deploy cost-effective infrastructure.

In parallel, public cloud proliferation is changing the traditional design methodology of the modern enterprise data center. While the long-term plans of many enterprises to migrate applications to public cloud remain intact, on-premise IT has exhibited tremendous resilience and undergone more of an evolution than revolution. New and innovative solutions have evolved to address the transition to the hybrid data center, and balancing the use of on-premise and cloud-based services will be another key challenge for IT organizations over the coming years.

A consistent theme is that control and visibility are essential to application performance assurance in any environment, and IT organizations continue to invest in both Application Performance Management (APM) and Infrastructure Performance Management (IPM) solutions. APM tools allow developers to optimize their code and enhance user experience, however, these tools often fail to examine and optimize the core infrastructure responsible for application delivery. IPM solutions have emerged as a meaningful complement to APM for this very reason.

1. Evaluate a Vendor's Ability to Scale

The complexity of infrastructure responsible for application delivery is quickly surpassing the limits of human comprehension, and performance problems are more difficult to find and less correlated to just the storage elements. Enterprises will need to rely on machine learning-based analytics and automation to identify and remediate root causes of performance degradation. APM/IPM solutions must work together seamlessly to make IT departments more efficient and to guarantee a positive experience for application users.

2. Insist on Real Time, End-To-End Performance Management

In a hybrid environment, end-to-end performance management is critical and must be truly end-to-end. Most claims of end-to-end infrastructure monitoring are driven by vendor marketing departments, while the products themselves only address a specific subset of the data center.

Enterprises must do their research. A solution that covers all key infrastructure components such as servers, network and storage offers a compelling option that can provide comprehensive data center performance monitoring in real time. Moreover, a performance management solution that covers current on-premise and future off-premise needs will be critical to the successful deployment of the hybrid data center.

3. Make Your Customer Demands Known

Customer requirements and feedback define product roadmaps and the evolution of IT infrastructure on-premise, in the cloud, or a combination thereof. Enterprise customers must make their needs and demands known to APM/IPM vendors in a clear and detailed fashion. This collaboration will not only help deliver products of value but also help vendors better design products to address real world problems.

The data center environment of today is more complex than ever. If you want your IT organization to operate efficiently, you must be able to proactively identify and remediate application performance issues within the infrastructure with the context of the application. By focusing in these three areas – scalability, end-to-end visibility and collaboration – enterprises will get the most out of APM and IPM solutions and drive a concurrent evolution in their ability to manage IT.

John Kim is a Co-Founder and Managing Partner of HighBar Partners, an investor in Virtual Instruments.

Share this

The Latest

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...