2022 Gartner® Magic Quadrant™ SIEM
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In the era of data abundance, there exists a significant need for database systems that can effectively manage large quantities of data. For certain types of applications, an oft-considered option is Apache Cassandra. Like any other piece of software, however, Cassandra has issues that could potentially impact performance. When this happens, it’s critical to know where to look and what to look for in the effort to quickly restore service to an acceptable level.
With a multitude of digital options available in almost every industry, it’s become increasingly critical that applications and services provide a positive user experience. Doing so requires a high level of availability, made possible (in part) by efficiently identifying and resolving issues with the system, when they occur.
Modern systems look very different than they did years ago. For the most part, development organizations have moved away from building traditional monoliths towards the development of containerized applications running across a highly-distributed infrastructure. While this change has made systems inherently more resilient, the increase in overall complexity has made it more important (and more challenging) to effectively identify and address problems at their root cause when issues occur.
As time goes on, more and more organizations are abandoning the outdated waterfall development methodology for more practical and efficient Agile development practices. As this movement has occurred, development teams are moving faster than ever by employing Continuous Integration (CI) and Continuous Deployment (CD) practices that are serving to shorten development cycles and get new features into production with increasing speed.
If you are like most software developers, your code often doesn’t work the first time you write and test it—and a good portion of your job is dedicated to troubleshooting errors caused by the configuration of your application server or the code you have written. This type of troubleshooting typically involves analyzing log files.