Operations | Monitoring | ITSM | DevOps | Cloud

Want to use production traffic with k6? In this k6 tutorial, learn how Speedscale can capture, sanitize, and export production traffic into k6 load tests.

Monitoring a network for its uptime and peak performance is crucial. By tracking network performance, organizations can better understand their network requirements, gain in-depth visibility, identify mishaps quickly, and roll out remediation measures. However, this is easier said than done. The complexity only increases when the network is an MSP’s.

Murphy’s Law states, “Anything that can go wrong, will go wrong.” This is an old adage that can be applied to IT networks everywhere. Organizations and IT admins can perfect their networks to the best of their powers, however, network issues of varying severities can still pop up. These network issues need immediate responses and resolutions. If such issues go unresolved for an unreasonably long time, the damages to both the network and the organization can be costly.

Companies implement an Incident Response process to promptly resolve critical issues. Setting up escalation policies to notify engineers is a key step in this process. With traditional escalation policies, alert notifications still get missed which results in higher response times and failure to meet SLAs. So, how can one ensure incident notifications are never missed?

As APIs play a crucial role in connecting modern cloud applications, monitoring their availability and performance is a must if you want to provide a top-notch experience. A good API monitoring tool will help you build reliable APIs by identifying and resolving the issues before they reach your users. If you’re interested in such a solution, look no further. In this article, we reviewed some of the best API monitoring tools and services available today, both open source and commercial.

October might be a spooky month, but we’re doing our best to make incidents less scary. We released a number of updates this month that focus on two main areas: Let’s jump in.

Industrial IoT (IIoT) machines and sensors generate valuable time series data. It’s impossible to derive the insights necessary to inform decisions as a company to produce or operate more efficiently without sending operational technology (OT) data to informational technology (IT) systems.