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.

It is a super exciting day! Finally, you can invite your friends/team/colleagues (pick one) via the web console.

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 came across an interesting sales stat in a 2020 report from Sales Insight Lab. They interviewed 400 sales professional and found that 71% of respondents said at least 50% of the prospects they were engaged with were NOT a good fit for what they were selling. This tells me there is a lot of wasted time and effort trying to convince incompatible businesses to sign with you. So how can you improve your odds of converting prospects?

With companies expecting software products to handle constantly increasing volumes of requests and network bandwidth use, apps must be primed for scale. If you need resilient, resource-conserving systems with rapid delivery, it is time to design a distributed system. To successfully architect a heterogeneous, secure, fault-tolerant, and efficient distributed system, you need conscientiousness and some level of experience.

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.

Memory (or RAM, short for random-access memory) is a critical computing resource that stores temporary data on a system. Memory is a finite resource, and the amount of memory available determines the number and complexity of processes that can run on the system. Running out of RAM can cause significant problems such as system-wide lockups, terminated processes, and increased disk activity. Understanding how and when these issues can happen is vital to creating stable and resilient systems.

As software applications grow in scale and complexity, the surface areas for security vulnerabilities and exploits grow with it. Modern development practices include large amounts of code reuse. First, in the form of language-specific standard libraries such as the C++ STL, the Golang standard library, and Microsoft.NET. Second, in the form of open-source libraries found on places like Github. Much of this code is built using other libraries, introducing a web of dependencies into modern software.