The Growing Importance Of Big Data In Application Monitoring
Big data in application monitoring is taking on an especially large importance. Here's what to know about how it works and why it's helpful.
Big data has given birth to a number of new applications. Both mobile and desktop devices are able to use more sophisticated applications to serve users in every part of the world. Tech Beacon wrote some very insightful guidelines for people trying to develop applications.
Big data isn’t just useful for developing new applications. It also is ideal for monitoring these applications more easily. A lot of applications can rely on AI algorithms to ensure the best user experience, minimize downtime and keep the programs running smoothly.
The number of developers using big data is going to continue rising in the future, since there will be 3.8 billion smartphone users in 2021. The role of big data in application monitoring will increase as well.
The Role of Big Data in Application Monitoring
Application process monitoring or APM is a phrase that’s quickly gaining weight in the digitally-transformed marketplace. Like other terms such as big data or artificial intelligence, APM is capturing the attention of business leaders and innovators, not just for its mysterious “newness”, but also for its ability to preserve company performance and limit disaster.
Application process monitoring tools give organizations of all sizes the solutions they need to watch the performance of critical tools in their network or technology stack. Big data is making it more dependable than ever. This means that organizations using big data to monitor their application performance can essentially be the first to know when something starts to go wrong with one of your applications. Timely and reliable application monitoring tools can help anyone to get ahead of catastrophic issues, and consequently, keep unnecessary downtime and failures to a minimum. Hadoop data mining tools have made these monitoring tools more reliable over the last few years.
Where are APM Tools Used?
More often than not, APM tools are found within the toolkits of companies that build their own fundamental applications. If you run a technology company that relies on its own big data apps to keep processes running smoothly, then you probably need an APM system. If you are delivering software to companies and customers outside of your organization, then you might also use APM tools to make sure that you can provide a consistent user experience. Big data can simplify this process.
Today, the potential of the app market in the world of big data is huge. We have seen its growth in the form of solutions like Uber, Netflix, and Amazon Prime, and we’re bound to see the number of apps available continuing to grow with the rise of more digital businesses. Valuable and revenue-generating applications in the modern landscape are becoming one of the most exciting ways for companies to evolve, and for those kinds of apps, an APM solution is a must-have.
Though the components of an APM solution can vary depending on what you choose for your brand, most of these tools come with a range of ways to monitor and improve the performance of your applications. For instance, your APM tools might include:
- Insights into basic server metrics like memory or CPU
- Application framework metrics like JMX and performance counters
- Performance of individual transactions and requests
- Application log data and error information
- Real user monitoring
- Code level performance programming
Choosing APM Tools for your Business
As application monitoring becomes a more popular option for businesses of all sizes, new kinds of APM tools are emerging to support different goals. Further advances in big data will make them even more reliable. For instance, the kind of APM software you need to use when writing code might be very different to the tool that you use for proactively monitoring an application once it’s been published.
To make sure that you’re choosing the right APM tool for your needs, remember that you’ll need to consider your requirements very carefully, including what kind of programming language you intend to use, whether you need a SaaS or on-premise solution and whether you’re in need of consistent cloud support. It’s also worth looking for APM tools that are easy to use. Although these systems are becoming more accessible, they can be complicated for beginners.
Big Data Leads to a New Frontier in Application Monitoring
Big data is changing the future of application monitoring in fascinating ways. Savvy companies are going to continue investing in new big data tools to make sure applications run efficiently and reliably.
You must log in to post a comment.