In the age of digital transformation, adhering to aging cybersecurity rules, policies, and standards set a few decades ago is an open invitation for setbacks. This is why the EU is updating and taking significant steps to strengthen existing regulations and bring new ones to unify existing risk management in individual EU member countries. Keeping pace with the modernization of complex technology is challenging, but resilience in times of adversity is the need of the hour.

Kubecon North America took place in Salt Lake City, Utah, from November 12 to 15, and the SolarWinds team was there to showcase updates to our SolarWinds Observability dashboards and join in the conversation. Here are five key talking points from the event.

Managing databases is a real pain point for businesses. It is time-consuming and complicated, and it often distracts resources away from main operations. This is where database as a service (DBaaS) comes into play. DBaaS is revolutionizing the way organizations manage their data—tremendously faster and in a much more secure manner. It is a cloud-native solution that manages your database problems. You no longer have to build and maintain your own database infrastructure.

Choosing a database is no easy feat. You must consider your organization’s current requirements and anticipate its future needs. Also, there are plenty of databases to choose from, and each type has its pros, cons, and use cases. To help you decide, we’re diving into a MongoDB vs. MySQL comparison in this article. We’ll review each database to help you decide which one might meet your needs.

Full stack observability (FSO) includes the ability to measure and monitor all layers of business infrastructure, security, and applications, from the underlying hardware and network performance to the user-facing software. As businesses shift from traditional, monolithic systems to more complex environments involving on-premises (on-prem) and cloud infrastructure, there comes a critical need for holistic observability.

An audit and error trail is one of the core pillars of a well-designed software application, regardless of the programming language used to build it. This trail typically comes in the form of logging. When your application produces useful, rich logs, you are better equipped to successfully maintain a production-grade system and troubleshoot any issues that might arise. When it comes to distributed Python applications, having correlated logs for each system is important for debugging.

Network flapping is the rapid fluctuation of network routes or interfaces between an up (active) and down (inactive) state. This constant change disturbs the network’s stability by forcing routers and switches to repeatedly calculate the best paths for data transmission. Route flapping is a specific type of network flapping in which the route information advertised by routers changes frequently within a short period.

SolarWinds just dropped a whitepaper, From Monitoring to Mastery: Optimizing Database Performance With Observability. Among the highlights is a breakdown of the four most critical components of database observability. Has your organization got these covered?