In part 1 of this two-part blog about utilizing Failover Clusters in your network to improve performance and availability, we'll uncover how they work, why they are popular for large-scale organizations, and discuss several of the most common issues with them. In part 2, we'll discover the best troubleshooting strategies to address Failover Cluster performance issues, and we'll review a helpful checklist that streamlines the process for fixing these issues.

Have you ever found yourself wishing for a magical solution to handle the unpredictable ebb and flow of user traffic on your cloud-hosted platforms? Organizations today face the ever-present challenge of effectively managing fluctuating levels of traffic on their platforms. Enter application autoscaling, a concept in modern resource management that allows organizations to seamlessly adjust their resources in response to spikes or lulls in user activity. But what exactly is autoscaling?

User experience holds the utmost importance, and closely monitoring the digital experience from the user's standpoint is essential for achieving success. User-centric metrics offer invaluable insights into how users interact with digital platforms and enables businesses to optimize performance, enhance satisfaction, and drive growth. In this blog, we'll delve into the significance of user-centric metrics in digital experience monitoring and explore the key metrics that businesses should prioritize.

Kubernetes is a widely-adopted platform that manages the containers that host an application. Instead of handling nodes and containers individually, it groups all workloads as orchestrated layers. This abstraction simplifies the overall complexities involved, making the application easier to manage.

Say that you're a bulk sender (in Google's terms, a user who sends more than 5,000 emails at once). You send a couple of emails and are baffled with alert messages that state your emails are unauthenticated; it can be shocking and annoying. In 2022, a staggering 333 billion emails were sent daily. According to data released by Google, unauthenticated messages received by Gmail users plummeted by 75%.

All you need to know about website tracking Website tracking refers to the practice of monitoring and collecting data on users' activities and behaviors when they visit a website. Various tools and technologies are employed to track and analyze this information. The primary goal of website tracking is to gain insights into user interactions, preferences, and overall engagement with a website and then fine-tune the page based on it.

Earning a customer's trust is tough, but losing it is unbelievably easy. That is why when a customer is happy, they stay for longer. A 2019 Accenture consumer survey of over 20,000 users across 19 countries revealed that a significant 47% of users avoid businesses that frustrate them with the user experience. Interestingly, an equal 47% said they were willing to pay a premium for a frustration-free user experience that exceeds their expectations.

Preventing issues through proactive log analysis is more advantageous than reacting to problems with troubleshooting when they occur. Logs can act as a powerful source for proactive monitoring, and configuring the right alerts can ensure that you are notified about critical events in advance. In this blog post, we'll unveil a few suggestions for optimizing log-based alerting to enhance incident management and achieve operational excellence.

Resilience has more than one meaning, but the one we typically think of is the capability to withstand a crisis when it strikes and be equipped to face higher challenges. Building and adopting resilient technological solutions is the need of today's modern businesses. An enterprise fortified with resilience is well-equipped to face any unforeseen disruptions, mitigate damages, recover quickly, and reduce incident management costs.

Effective memory management is crucial for optimal MongoDB performance and helps ensure seamless database operations and user experience. Allocating enough memory lets the database store frequently used data and indexes in RAM and cut down on disk I/O operations. This boosts query response times and system responsiveness. Poor memory management can cause delays in retrieving data from disk, leading to performance degradation.