Operations | Monitoring | ITSM | DevOps | Cloud

Did you wake up to the news that your favorite tool was acquired? You probably got used to the tool's intuitive interface, cost-effectiveness, and feature set, which aligned perfectly with your day-to-day requirements. Your disappointment doesn't end here. It's just the beginning of a series of potential negative consequences of acquisitions.

As software ecosystems grow more complex and fragmented, organizations are finding it harder to manage the thousands of interdependencies that make up their environments. For starters, engineers are collectively struggling to uphold security and reliability standards throughout their organizations because they lack a shared view of these complex software landscapes.

Providing quick and effective IT services is paramount for organizational achievement in dynamic business operations. Technology development creates new obstacles for IT teams that must sustain service excellence and operational effectiveness standards. Recently developed ServiceOps implements a transformation of IT service management (ITSM) that surpasses all organizational needs.

Our Big Tent philosophy provides the foundation for our broad, modular, and flexible observability platform. With Grafana’s powerful ability to integrate with a wide range of data sources, tools, and plugins, you can create customized solutions tailored to your unique needs.

For developers, the main quest is building and scaling their applications—not struggling with complex monitoring setups. Yet, observability in cloud-native environments is essential, and configuring monitoring for AWS services has traditionally been a complex and manual process. Developers had to set up Firehose streams, CloudWatch metric streams, and log subscriptions, all while ensuring continuous maintenance for new instances, turning observability into an unwelcome side quest.

Cardinality refers to the number of unique values in a dataset column. A column with many distinct values—like a user ID or timestamp—has high cardinality, while a column with limited distinct values—like a boolean flag (true/false) or a category with a few possible options—has low cardinality. For example, consider a database of an e-commerce platform.