Did you know that nearly 6,000 new apps are released on a daily basis? If you are like most app developers, your goal is to create unique apps in a timely manner.
For the most part, DevOps as a service is a blanket term for the tools and methodologies used by developers to build their applications. This practice allows developers to construct, test and launch their programs in a timely manner.
Since the way applications are being built has changed so much, other systems associated with monitoring these programs have had to change as well. Most developers think since they use a static codebase during the build of their program, they don’t need to monitor it very closely after launch.
The truth is that apps built using DevOps will undergo frequent code changes during their lifetime. In some cases, these code changes can lead to app problems and instability. You can find out more details about why consistently monitoring apps is a good idea by doing a bit of online research. Read below to get more information about how DevOps changes monitoring.
Monitoring in the Modern App World
With more developers using DevOps, the entire lifecycle of these programs has sped up. Static production apps can be updated multiple times in a day, which can make monitoring these programs uniquely challenging.
One of the main ways developers have had to adapt to make monitoring easier is by writing comprehensive code for the automated tests they perform. Ideally, these tests will need to run each time a new piece of code is added to a static app. The more sophisticated app monitoring tools on the market today are far more aware of a DevOps toolchain and the role each of the tools plays.
Prior to the development of DevOps, the updates an app needed would have to be administered by specially trained technicians. By automating the testing process, app developers are able to run the new code they want to add through the wringer before deploying it. This testing helps developers avoid messing their new app up with a piece of bad code.
Some people think that this type of coding is only suitable for smaller apps, but this is not the case at all. For years, larger companies like Facebook have been proponents of this type of code deployment. Many former Facebook employees also claim that if a piece of code messes the app up, it can be traced by to the person responsible.
App Monitoring is Not a One-Size-Fits-All Business
Another common misconception most new app DevOps users have is that monitoring is a one-size-fits-all business. The truth is that you will have to alter the settings of the monitoring program you are using to make it work properly.
Most of the modern app monitoring services have broadened their horizons. Not only do these monitoring services provide data about production environments, they will monitor the entire application stack as well.
With the right monitoring program, you can find out things like the state of unit tests and how well your app performs under a load test. Seeing exactly what your program can handle before launch will allow you to avoid issues involving app crashes.
Modern DevOps monitoring is more proactive instead of reactive like traditional monitoring software. A comprehensive monitoring program will highly areas in your DevOps toolchain that may need more automation. If you are updating an app multiple times a day, finding out about the problems the program has quickly is important. By obtaining this information in a timely manner, you can address the issues before they cause big problems.
Selecting the Right Monitoring System
While the world of modern application development has changed considerably, there are many monitoring vendors who refuse to update their programs. These days, simply tracking stats related to RAM and CPU are not adequate enough to keep your app running efficiently. The monitoring for modern apps needs to be API-aware and capable of feeding data directly from the application itself.
Ideally, you want to choose a monitoring program that features great visualization tools. Often times, you can spot problems much easier by looking at charts and graphs. Most developers will have a difficult time spotting app instability issues by just looking at individual log files, which is why visualization tools are so important.
You will also need to assess how many modular integrations a monitoring program has before using it. Having a monitoring system that can be tied into scripting languages like Python, Go and Ruby can be very beneficial.
Rather than rushing through the app monitoring software selection process, you need to take the time to research all of your options. The time and effort invested into this research will be well worth it in the long run.