Heroku is a powerful PaaS that helps developers easily and quickly launch and scale modern applications. In addition to its base features, it also offers Heroku Elements Marketplace, which has add-ons for expanding the functionality of the base platform. While Heroku has built-in logging for your applications in this platform, you may find that the default interface leaves something to be desired.
Logging is tricky. You want logs to include enough detail to be useful, but not so much that you're drowning in noise - or violating regulations like GDPR. In this article, Diogo Souza introduces us to Ruby's logging system and the LogRage gem. He shows us how to create custom logs, output the logs in formats like JSON, and reduce the verbosity of default Rails logs.
It is an exciting era for web developers with so many open-source frameworks and libraries around to help them. Of all the frameworks that have emerged in recent years, Vue.js stands out for its simplicity, adaptability and rapid load times. In this article, we will learn how to get started with Vue.js. We will also go through the steps to integrate and use Bugfender with a Vue.js application. We will build a simple TODO application, which will enable us to add, fetch, edit, and delete TODO items.
Logs are vital for every application that runs in a server environment. Logs provide essential information which points to whether the current system is operating properly. Looking through logs, you will gather data on system issues, errors, and trends. However, it is not feasible to manually look up errors on various servers across thousands of log files. The solution? Central errors logging services.
AWS provides many solutions for managing business data. There’s Amazon Relational Database, or Amazon RDS, which is ideal for scaling your databases on the cloud. There’s Amazon Redshift for warehousing your data. For collecting big data, we’ve looked at a number of modern data integration platforms, but Amazon CloudFront is more of a content delivery platform. So, why are we talking about CloudFront in terms of big data right now?
