Operations | Monitoring | ITSM | DevOps | Cloud

Today’s applications are designed to be always available and serve users 24/7. Performing live debugging on such applications is akin to doctors operating on a patient. Since the advent of the “as a service” model, software is like a living, breathing entity, akin to an anatomical system. Operating on such entities requires more dexterity on the developer’s part, to ensure that the software application lives on while being debugged and improved continuously.

In the world of monitoring and observability, Prometheus has grown into the de-facto standard for monitoring in cloud-native environments because of its robust data collection mechanism, flexible querying capabilities, and integration with other tools for rich dashboarding and visualization.

As modern software systems become increasingly distributed, interconnected, and complex, ensuring production reliability and performance is becoming harder and more stressful. Seemingly nondescript changes to our infrastructure or application can have massive impacts on system uptime, health, and performance, all while the cost of production incidents continues to grow.

Traditional logging tools are struggling to keep up with the explosive pace of data growth. Data collection isn’t the most straightforward process — so deploying and configuring all the tools necessary to manage this growth is more difficult than ever, and navigating evolving logging and monitoring requirements only adds another layer of complexity to the situation.

Recently I caught up with Jamie Allen on Episode 67 of the Slight Reliability podcast to discuss the idea of a single pane of glass (SPOG). Jamie had written an article titled The Single Pain of Glass which coincidentally was what I titled Slight Reliability Episode 10. I thought given our shared use of puns and this topic that it was worth a conversation! So, what is a single pane of glass? Is it an idea with practical application? How does it fit into the world of modern observability?

In a previous post, we looked at the remote debugging features of Visual Studio Code and how Lightrun takes the remote debugging experience to the next level. This post will examine how Lightrun enables Python remote debugging in PyCharm, the Python IDE from JetBrains.

Virtana’s AI-powered platform is at the forefront of IT infrastructure management, offering a comprehensive suite of tools and services that empower IT leaders to make informed decisions on how to forecast demand and streamline operations. The rapid evolution of technology has ushered in an era of complexity and dynamism that IT leaders must navigate effectively.

Kubernetes is one of the most important and influential technologies for building and operating software today because it’s so incredibly capable. It’s flexible, available, resilient, scalable, feature-rich and backed by a global community of innovators — that’s a pretty impressive list of intangibles to apply to any particular capability.

Observability is a critical aspect of modern software development and infrastructure management. It involves the ability to gain insights into the internal workings of your systems, applications, and services through monitoring and collecting relevant data. With the increasing complexity of technology stacks and the need for real-time visibility, observability has become a fundamental requirement for businesses across various industries.