Today’s organizations with DevOps culture have ‘positive challenges’ when it comes to availability of Mobile DevOps tools. Not too long ago this segment was pretty static and didn’t provided any of agile tools that would help getting meaningful results out of the monitoring efforts. In addition, scaling up and monitoring with real networks has bring benefits of getting in shoes of the real end-user, but without asking them to be your test monkeys, use the exact identical environment to monitor mobile websites and apps.
In this blog, 4 upcoming trends in synthetic mobile monitoring are highlighted and discussed.
The mobile monitoring isn’t really a new idea and some organizations have used it already for some time to get better understanding of real performance statistics, details of uptimes, and even more detailed data about launching, running, making sure transactions are
In short, synthetic monitoring is often used before an application goes into production to monitor its behavior, providing a report on the performance expected in the production stage. The same test script can also be continued in the production environment. Synthetic monitoring sends a constant stream of synthesized application usage to a service to ensure it is both available and hitting acceptable performance benchmarks.
“If uptime and high performance are daily necessities for your online business, synthetic mobile monitoring service is essential.”
In the past, there has been a real-time alerting mechanisms built right in so that teams who are responsible of performance, mobile website, apps etc. can always be aware of issues or performance degradations. If uptime and high performance are daily necessities for your online business (E-commerce, Gaming, Online Banking, seasonal high-traffic scenarios, etc), a Synthetic Monitoring service is essential.
What are the hottest upcoming trends in synthetic mobile monitoring and how can you jump on board?
4 Upcoming Trends in Synthetic Mobile Monitoring
Alerts Are Getting Smarter
One of the most common problem with today’s monitoring software – whether for PC, mobile, web or any infrastructural hardware/software – is that users of those solutions are getting too much ‘false’ alerts. Naturally not all of those are false by its meaning, but there are very few good options to filter out level of criticality with alerts, and make sure the top priority ones get delivered instantly. There are plenty of ‘warning level’ alerts that are important and indicate that someone should pay attention to those. But at the same time, there is a correlation between the ability to jump on those and how that affects to the agile process and DevOps doings on a daily basis.
Getting a more targeted, and accurate, alerts about performance, uptime, user experience impact, and all those wrapped around suggestions of how root cause of alert can be and should be fixed, can make a significant difference for agile process and how organizations perceive of their agility. If organizations keep jumping on alerts that do not provide suggestions and improvement ideas to fix issues, they can easily lose the true nature of agility as part of their doings.
In addition, alerts can be delivered easily by SMS, email, or using some of today’s well-adopted communication platforms (e.g. Slack, Skype) and other instant pager services that make sure alerts are delivered instantly and to the right audience.
Mobile Test Automation Frameworks Are Coming Into Monitoring
Mobile test automation has been used for native apps, games, mobile web and hybrid variants of all of these for years and has been the most compelling way to tackle the robustness, compatibility and quality issues related to mobile products. Mobile test automation and variety of open source frameworks are also instrumental in synthetic mobile monitoring. In short, enabling mobile test automation with synthetic monitoring can enable more thorough and compelling details of performance to be fetched and issues fixed with help of rich details.
In a very near future, the use of industry-standard open source frameworks will be part of the monitoring practices and will provide more advanced ways for app and web developers to implement and deploy monitoring in locations of their interest.
Working with mobile test automation frameworks is pretty straightforward and there are plenty of great frameworks to pick from. Appium, for example, has provided excellent results in preliminary tests and due to cross-platform nature of it, it fits well for both two major platforms, provides great support for different programming languages, and scales well across apps, games, and web related tests.
Some of the mobile test automation frameworks have been used for load testing, some can be used to do generic performance testing while functionality of app or website is getting tested.
For instance, enabling monitoring system to check accessibility, performance and various user experience aspects can be done with the industry-standard frameworks as well. Running the same script in loop every 5-10 minutes can create lots of test data, and typically this data is redundant – especially if everything is OK and the system is working.
Performance Testing Is Becoming More Accurate
Performance testing in general requires deep knowledge about system architecture, techniques and practices of how to create load and how to scale it up/down for different use cases. Especially with synthetic mobile monitoring that with any number of service requests for network can be enabled remotely the performance statistics and reports are producing lot’s of useful and informative data.
Another area where mobile performance can be measured – and where mobile app, game and web developers should pay their attention at is the implementation. There are plenty of great benchmarks for mobile available, such as GameBench (one of the defacto benchmarks used by mobile game developers, but fits well for graphics-intensive apps as well) and Basemark Web (previously BrowserMark, one of the key standards for browser speed measurements). But to get customized tests running on real networks, against real target, synthetic mobile monitoring has a lot to offer.
When things run on cloud nowadays, performance testing should include combination of different sizes of workloads, and many of that sort of performance testing can be done with help of test automation scripts. But getting the right accuracy level requires real network, preferably real devices and often-enough polling.
Inevitable Use of Real Networks and Infrastructure
More and more, companies that concerned about mobile monitoring are making their moves towards real networks. The scalable architecture that Bitbar Monitoring provides can help to ensure mobile products are working well on real networks, with real user conditions.
The performance in IT is increasingly being tied with business performance and when top criteria for business success is measured, there are basically 3 important things that are also closely related to use of real networks: customer satisfaction (customer experience), service-level engagement and support, and reporting issues. When non-real environments, including networks, are used there is no way to tell if incidents, alerts and issues coming from the monitoring system are real. Therefore, the use of real infrastructure is imminent and always recommended.
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