On-prem application performance monitoring is still relevant, here’s why

Application users want seamless digital experiences — and they want them now. This common thread has organizations grappling with how to meet user expectations in increasingly complex application environments. Despite the cost and scalability benefits of cloud native applications, research shows more than half of organizations (54%) are moving workloads and data away from public clouds. Why? Reasons are unique, but many agree that the cloud can’t compete with an in-house solution when it comes to keeping data private, secure and compliant.

With a recent survey showing 94% of organizations still using on-prem servers in some way, it’s easy to see that hosting applications onsite remains relevant for delivering the high-performing digital experiences users want while sustaining a focus on security. While many organizations prefer the ease and efficiency of cloud-based applications — delivering optimal performance doesn’t require public cloud infrastructure. With the right application performance monitoring solution, technologists can optimize fluctuating workloads and support the dynamic scale-out/back strategy they need — regardless of infrastructure type.

Optimizing on-premises applications

For many organizations, the most difficult part of on-prem optimization is maintaining a clear picture of user behavior during peak demand and keeping up with the planning and support required to meet such demand. However, the ability to do so is critical in today’s digital environment, where user experience and user trust are key drivers of application KPIs. Planning, supporting and managing demand requires technology and business leaders to stay apprised of the data center inventory, resource usage and peak times to ensure quick responses to rapid fluctuation. Common techniques include load balancing, managing bandwidth, compression, caching and deduplication — plus monitoring network and storage performance and utilization. Doing so enables teams to adjust settings and allocate accordingly to distribute workloads, reduce latency, save space and optimize availability.

Support an Agile and DevOps Culture

Collaboration is at the root of Agile and DevOps methodologies, and both can help optimize in-house application environments by enabling proactive, faster, more frequent and more collaborative development, iterations and delivery. Therefore, adopting a common tooling framework includes support for version control and CI/CD, plus continuous testing, monitoring and improvement that helps align digital experiences with business goals.

Leverage the right application monitoring tool for on-premises environments

Application performance monitoring (APM) is a methodology that allows technologists to see application health status in a shared view and detect the source of issues. It that way, it can eliminate roadblocks between siloed teams and support fast and proactive remediation of user experience problems. Leveraging APM best practices in a shared view can also ensure a strong portfolio, which is key to preventing risk associated with outdated technology, poor documentation and/or lack of ownership that may plague legacy, on-prem environments. And not to be overlooked — cultivating an APM practice provides a platform from which IT and business stakeholders can quickly and easily understand exactly how app performance impacts revenue-generating transactions.

User journeys: Monitoring on-premises user journeys with business context

When a business-critical transaction, such as shopping cart checkout or loan application submission suffers, IT and business leaders need to prioritize and fix issues — fast. Having an always-on, proactive view of application health across on-prem hosted user transactions is key. With journey mapping, an organization can measure how business components and customer experience come together to drive top-level KPIs. For example, optimizing new bank account setup or loan submission processes or online retailers getting a complete view of how customers shop online. With it, technologists and business stakeholders can see issues across all the different parts of user journeys that impact application health and business outcomes.

Business journeys: Monitoring on-premises performance across multiple events

Business Journey Mapping gives modern businesses insights to improve the building and running of mission-critical and strategic services. It works with application performance monitoring and enables app teams to author, join, analyze and monitor multiple distributed business events as a single process. With it, teams can identify patterns and discover performance latency, risk and opportunity for an entire line of business.

Let’s take the loan application workflow as an example. Application submission information may come from business transaction events, but document verification and loan application status might come from logs. And credit approval and underwriting are often tied to third-party service provider actions while final approval could be updated in transaction events. Mapping the entire journey to ensure a smooth transaction for the borrower and the loan officer supports a high-performing user experience for both — and enables IT to validate investments and prioritize coding fixes and feature releases based on what matters most.

For more information about how Cisco AppDynamics can help your organization optimize on-premises application performance, read what Ronak Desai, Cisco SVP & GM AppDynamics and full-stack observability has to say about On-premises to cloud: Observability for customers where they are and where they’re going.

Related Articles

Application Performance Redefined: Meet the New SignalFx Microservices APM
Observability
6 Minute Read

Application Performance Redefined: Meet the New SignalFx Microservices APM

Splunk's newest release of the SignalFx Microservices APM introduces innovations like Full Fidelity tracing, AI-Driven Directed Troubleshooting, and open framework instrumentation
Kubernetes Navigator: Real-time Monitoring and AI-Driven Analytics for Kubernetes Environments Now Generally Available
Observability
4 Minute Read

Kubernetes Navigator: Real-time Monitoring and AI-Driven Analytics for Kubernetes Environments Now Generally Available

Announcing the general availability of Kubernetes Navigator, a turn-key solution that provides an easy and intuitive way to understand and manage the performance of Kubernetes environments
Monitoring Node.js Applications with Splunk Infrastructure Monitoring
Observability
5 Minute Read

Monitoring Node.js Applications with Splunk Infrastructure Monitoring

Explore the various instrumentation approaches to building a robust observability strategy for your Node applications with Splunk Infrastructure Monitoring.
Monitoring Docker Containers on AWS ECS with Splunk Infrastructure Monitoring
Observability
5 Minute Read

Monitoring Docker Containers on AWS ECS with Splunk Infrastructure Monitoring

Discover how you can use Splunk Infrastructure Monitoring to monitor Amazon ECS, and get the scoop on some of the newest updates.
Monitoring Windows Environments with the Splunk Infrastructure Monitoring Smart Agent
Observability
3 Minute Read

Monitoring Windows Environments with the Splunk Infrastructure Monitoring Smart Agent

Splunk Infrastructure Monitoring's Windows Smart Agent provides people with the same automatic discovery and configuration capabilities delivered by its Linux-based counterpart, while also making it easier to monitor metrics that are unique to Windows environments.
The Daily Telegraf: Getting Started with Telegraf and Splunk
Observability
7 Minute Read

The Daily Telegraf: Getting Started with Telegraf and Splunk

Infrastructure Monitoring with Telegraf metrics and The Splunk App for Infrastructure
Splunk Enterprise + Visual Studio Code = Better Together
Observability
3 Minute Read

Splunk Enterprise + Visual Studio Code = Better Together

Using Visual Studio Code with Splunk Enterprise allows developers to debug user Python code, gives Splunk admins greater flexibility on editing .conf files, and brings Splunk searches and reports directly to the code editor.
Easier Multi-Dimensional Metrics in Java
Observability
3 Minute Read

Easier Multi-Dimensional Metrics in Java

Discover the two key elements to unlocking the full potential of multi-dimensional metrics in Java with Splunk Infrastructure Monitoring.
Introducing Splunk Data Links: Connect Streaming Metrics to Logs, Reduce MTTR
Observability
6 Minute Read

Introducing Splunk Data Links: Connect Streaming Metrics to Logs, Reduce MTTR

Data Links are now generally available in Splunk Infrastructure Monitoring, enabling DevOps teams to get to better insights and resolve issues faster by tapping into the right data from the right system at the right time.