Operations | Monitoring | ITSM | DevOps | Cloud

In this article, we will analyze what are the metrics for monitoring Kafka performance and why it is important to constantly monitor them. We will also look at the process of monitoring metrics for Kafka using Hosted Graphite by MetricFire. To learn more about MetricFire, book a demo with the MetricFire team or sign up for the free trial.

Many entrepreneurs hang their shingle without putting much thought into sales. They find out further down the road that sales is the heart of enterprise, and that it demands just as much preparation and planning as any other aspect of business. More often than not, an MSP who doesn’t plan ahead finds a great deal of difficulty growing once their referral business has inevitably run dry.

In business, you have prospects, customers, and transactors. Each has different needs and expectations. Understanding these needs and expectations is vital to providing the best possible service. Prospects are people who your company has contacted, either through direct mailers, email campaigns, or with a cold call. They have shown an interest in your product or service. They are interested in learning more about what you have to offer.

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and performance for query and ingest workloads. In this post, I will introduce another common technique, partitioning, that provides further advantages in performance and management for a sharding database.