Operations | Monitoring | ITSM | DevOps | Cloud

Many companies that provide IoT or device management solutions need help building an in-house monitoring solution. Managing devices for your clients is challenging enough—building a monitoring system is not everyone's wheelhouse and takes time to set up. In this article, we will review some of the most common use cases for device management companies and discuss how these businesses can use MetricFire to save time and money on their monitoring.

Logging is an essential part of development. While working on React projects, logging provides a way to get feedback and information about what’s happening within the running code. However, once an app or website is deployed into production, the default console provides no way to continue benefiting from logs.

Prometheus has become an essential technology in the world of monitoring and observability. I’ve been aware of its importance for some time, but as a performance engineer, my experience with Prometheus had been limited to using it to store some metrics and visualize them in Grafana. Being a Grafanista, I felt I should dig deeper into Prometheus, knowing it had much more to offer than just being a place to throw performance test results.

RabbitMQ, Apache Kafka, and Redis are some of the most popular microservices message brokers on the market. However, while they’re all the same type of tool, they each offer different features that make them better adapted for specific use cases. To further understand this, in this article, we will outline the main similarities and differences between these tools and highlight which is the best tool for various use cases.

The Azure Cloud platform processes an extensive variety of data including Eventhub Diagnostic Logs, Kubernetes Metrics, SQL Logs, Activity Logs, Container Activity Logs, and Azure Metrics. Depending on the requirements of your organization these logs offer various levels of importance and priority. But it’s more than likely that you will be monitoring a large variety of these logs.

Learn how to effectively monitor the OTEL Collector with best practices and implementation strategies for improved system performance.

Data's critical role in business operations has intensified the need for reliable information management. As companies increasingly base their decisions and growth strategies on data-driven insights, maintaining high-quality datasets has become essential. Data observability offers a novel approach, transforming how organizations comprehend and maintain their information assets.

OpenTelemetry has quickly become a must-have tool in the DevOps toolkit. It helps us understand how our applications are performing and how our systems are behaving. As more and more organizations move to cloud-native architectures and microservices, it's super important to have great monitoring and tracing in place. OpenTelemetry provides a strong and flexible framework for capturing data that helps DevOps engineers keep our systems running smoothly and efficiently.