Operations | Monitoring | ITSM | DevOps | Cloud

Jaeger is a popular open-source tool used for distributed tracing in a microservice architecture. In a microservice architecture, a user request or transaction can travel across hundreds of services before serving what a user wants. Distributed tracing helps to track the performance of a transaction across multiple services. Before we deep dive into how Jaeger accomplishes distributed tracing for microservices-based architecture, let's take a short detour to understand distributed tracing.

Logz.io is proud to announce a slew of new integrations via Telegraf. Logz.io utilizes Prometheus in its product, but aims to support compatibility across common DevOps tools. A number of our customers, and the community in general, are strong users of Telegraf and its companion apps in the TICK Stack (which includes InfluxDB). Telegraf is not as popular as Prometheus, but it’s a strong element in the DevOps toolbox.

Chemelot is an industrial park in the Netherlands with more than 150 companies in chemical and process industries that are working to build the most sustainable and competitive chemical site in Western Europe. Sitech Services is part of making that happen. The Dutch technology firm brings together maintenance and engineering specialists with data scientists to create multidisciplinary solutions that achieve optimal safety, efficient infrastructure, and efficient processes for the plants.

I am currently trialing pgmetrics and pgDash for monitoring PostgreSQL databases. Here are my notes on it. pgmetrics is a command-line tool you point at a PostgreSQL cluster and it spits out statistics and diagnostics in a text or JSON format. It is a standalone binary written in Go, and it is open source. Here is a sample pgmetrics report. Rapidloop, the company that develops pgmetrics, also runs pgDash – a web service that collects reports generated by pgmetrics and displays them in a web UI.

Yoga is to ideal human health what observability is to an application’s ideal functioning. It is well established that observability is a critical factor for the successful implementation and maintenance of cloud-native, serverless, cloud-agnostic, and microservices-based applications. Well-established observability helps DevOps and development teams cross the boundaries of complex systems and get complete visibility into their functioning.

In the realm of monitoring products, proactive monitoring usually means identifying potential issues within IT infrastructure and applications before users notice and complain and initiating actions to avoid the issue from becoming user noticeable and business impacting. Proactive monitoring means a business is continuously searching for signs that indicate a problem is about to happen.