Here are some important guidelines to remember when you start to plan your mobile monitoring strategy ...
1. Real device monitoring is a "must"
Only real devices let you capture the true mobile end user experience in terms of application performance and availability. Be sure to use non-jailbroken/rooted devices, production version apps (non-modified), run complex user scenarios using complex client logic on real devices, and measure client-side performance impact on the overall user experience. Other monitoring solutions, such as browser emulation, fail to reflect the true mobile user experience.
2. Leverage both RUM and Synthetic monitoring techniques
Real User Monitoring is the best way to know what is happening on a user's device, as it is based on an agent within the application that collects data and communicates it to the monitoring server. Synthetic monitoring allows organizations to track application behavior against real networks globally in a “clean-room” environment, and provides an excellent solution for debugging problems identified in the field.
3. Extend your existing monitoring solution to mobile
There is no need to re-invent the wheel. Your operations center has accumulated valuable experience in monitoring and triaging incidents. There is no need to create new processes, re-train personnel or buy completely new solutions. Rather, it is advisable to expand those processes to cover your mobile initiative as well by making it mobile-relevant.
4. Select your synthetic monitoring coverage wisely
Synthetic monitoring, by definition, provides sampled coverage of the audience, devices, carriers and locations, and user scenarios. It is not realistic to provide coverage for everything. Identify those combinations that are relevant to your business objectives and work from there.
5. Ensure the reliability of your monitoring solution to eliminate false alerts
There is nothing most frustrating to your Ops Center staff than false alerts. Your mobile monitoring solution must comply with stringent SLAs to ensure that your engineers do not waste time on alerts caused by problems related to device availability, for example. Device redundancy, together with identification and reduction of alerts driven from known issues, help to ensure proper attention to real issues that are impacting end users.
The Latest
In APMdigest's 2025 Predictions Series, industry experts — from analysts and consultants to the top vendors — offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...