While working on multiple projects, it is always a hassle to monitor the progress of your team members. Also, assigning tasks and tracking their status, keeping up with timelines, planning future tasks, etc. can sometimes get too messy. Tools like Trello emerge as one-stop solutions to such issues. In a world where people struggle to organize their tasks, Trello increases productivity while providing various ways to collaborate.
Isn’t all logging pretty much the same? Logs appear by default, like magic, without any further intervention by teams other than simply starting a system… right? While logging may seem like simple magic, there’s a lot to consider. Logs don’t just automatically appear for all levels of your architecture, and any logs that do automatically appear probably don’t have all of the details that you need to successfully understand what a system is doing.
We’re living history. We’ve heard it uttered in everything from news reports to conversations with loved ones. And it’s true — the tragedy and uncertainty of COVID-19 is shaping history and policy as we know it. But there’s something else newsworthy, too. Amid the pandemic, we’ve seen beacons of hope, humanity and progress. People have banded together to solve monumental problems at record pace.
As the world moves towards the “new normal” on account of the pandemic, numerous adjustments and recalibrations have been made in all aspects of our lives, including the organizations we are part of. As businesses base their operations on a dispersed workforce beyond the corporate perimeter, IT teams have been the ones largely enabling this successful migration to home workspaces and further sustaining the remote network to foster productivity.
You hear about APIs (application program interfaces) everywhere now, and even if you don’t know what one is, you’ve probably heard the term more than once. In this article, we cover a few API basics, and we talk a bit about why you should use API monitoring if you publish or have an API that is critical to your business.
Our sources state that there has been a 20% increase in web-skimming attacks since the outbreak of the COVID-19 virus. Recently, we have witnessed some high-profile Magecart attacks on websites which have gained popularity during the pandemic, including fitness-based websites. The latest fitness-based website attack reported is YogaFit, who were compromised for over 6 weeks.
When it comes to troubleshooting application performance, metrics are no longer enough. To fully understand the environment you need logs and traces. Today, we’re going to focus on your Java applications.
You know the feeling. You’ve just deployed a new version to production and are monitoring the Rollbar dashboard for any new errors or looking out for any Slack notifications. You’re keeping an eye on the number of new or reactivated errors, their severity level, and triaging to see which errors need to be assigned and to whom. Now what if you could automate these tasks?
When monitoring third-party applications with Prometheus, you’ll need an exporter if the application doesn’t already expose metrics in the appropriate format. How do you find an appropriate exporter, and once you have your exporters, how should you organize your label taxonomies to reflect your infrastructure? Many applications in the systems you’re in charge of will be third-party applications, which do not natively expose Prometheus-formatted metrics.
