Operations | Monitoring | ITSM | DevOps | Cloud

Setting up alert thresholds in Graphite transforms raw monitoring data into actionable notifications, helping you address system issues before they escalate. Here's what you need to know.

Creating a custom dashboard is the best way to monitor metrics that matter most to your systems. Tools like MetricFire make this process straightforward by combining hosted Grafana and Graphite, eliminating the need for self-hosted solutions. Here's how you can build dashboards tailored to your needs.

Modern DevOps faces tough monitoring challenges due to distributed systems, containers, and microservices. Key issues include fragmented visibility, alert fatigue, tool overload, pipeline blindspots, and cloud cost inefficiencies.

Cloud monitoring is essential for tracking performance, security, and costs in dynamic environments. With 94% of enterprises using cloud services and 81% adopting multi-cloud setups, maintaining control is critical. Here's what you need to know.

Traditional alerts are simple by design: if a metric crosses a threshold, fire an alert. While that simplicity makes alerts easy to configure, it also leads to alert noise, because single metrics rarely tell the full story and often trigger during non-actionable conditions. Hosted Graphite Composite Alerts solve this by allowing you to combine multiple alert conditions using logical expressions like AND (&&) and OR (||).

VictoriaMetrics is a fast, cost-efficient, and highly scalable time-series database designed as a drop-in replacement for Prometheus storage. It is widely used for collecting, storing, and querying metrics at scale, while remaining lightweight enough to run as a single binary or container. Because it is fully Prometheus-compatible, VictoriaMetrics supports standard PromQL queries and integrates seamlessly with Grafana.

Monitoring performance of Heroku applications helps improve user experience. This blog post covers Heroku monitoring add-ons and explores why Hosted Graphite is the best choice in 2026. We'll discuss the benefits and setup process of the Hosted Graphite add-on. We'll also discuss future trends in Heroku monitoring.

Redis is a widely used in-memory data store, commonly deployed as a cache, session store, message broker, or fast key-value database. Because Redis often sits on the critical path of an application, having visibility into its behavior (memory usage, client connections, command throughput, cache efficiency) is essential for troubleshooting and performance tuning.

Heroku makes it easy to deploy and operate applications without managing servers, but understanding how your application behaves internally still requires instrumentation. Platform metrics like CPU usage, memory consumption, and router request/status counts are useful, but they don’t tell you how long your code takes to run, when your app throws errors, or whether users are interacting with key features.

In this article, we’ll show how easy it is to send custom application metrics directly to MetricFire's public carbon endpoint. We’ll build a small Flask application, emit a handful of practical metrics, and generate local traffic to demonstrate how quickly meaningful data can flow from your code to your dashboards.