Operations | Monitoring | ITSM | DevOps | Cloud

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.

Monitoring Kibana instances is crucial to ensure optimal performance, identify potential bottlenecks, and promptly address issues that may impact the accessibility and functionality of the platform. Regular monitoring allows for proactive maintenance, enabling organizations to deliver a seamless and responsive user experience while ensuring the stability and reliability of their ELK stack.

Navigating the complexities of cloud financial management requires more than just tracking costs – it demands a strategic approach to measure and optimize cloud spend. We have put together our top 7 KPIs, ranging from allocatable cloud spend and average hourly costs to sophisticated forecasting, to effectively gauge your FinOps solution success. Each KPI offers unique insights, helping businesses manage and maximize their cloud investments.

As the software development world becomes faster, enterprises must adapt to customer demands by increasing their application’s deployment frequency. They often rely on DevOps and Site Reliability Engineering (SRE) methodologies to achieve this. These approaches ensure high system availability amidst frequent deployments and prioritize delivering a seamless user experience.

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?

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.

Cribl’s suite of products excel at collecting and organizing your IT and security event data. Did you know it can also help with IoT data collection and analysis? If you can get the text of the data into Cribl, in most cases, we can process it, transform it, and send it to where you want it to go. A few years ago, I bought a weather station. I immediately hooked up some home automation gear to show me the temperature, humidity, and air quality. But the geek in me wants more.

Every day the world is becoming increasingly powered by artificial intelligence. In fact, you’d struggle to find tech companies that have not announced AI integrations into their tech stack in one way or another. Cynics might say this is a passing phase, but the reason AI is so popular is that it’s a versatile set of capabilities that can help solve a lot of problems.

Whether your data is on the moon or in your basement, Grafana has got you covered. As the go-to platform for monitoring and observability, Grafana has been your trusty sidekick for data visualization for years, in part because we’re always looking for new ways to support our users, no matter where they keep their data. That’s why we’re excited to tell you about our latest supported data source — SurrealDB.