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Mastering Live Debugging Techniques: A Must-Have Guide for Developers

Software debugging has undergone many transcendental shifts. These shifts are as fascinating as the transition from the biological origins of the term ‘debugging’ to its computer science incarnation. The moth that caused the first computer bug has led to a metamorphosis of the debugging scope to cover a much broader role in software development over the years. Live debugging is the latest manifestation of this evolution.

The 7 Most Common Python Debugging Challenges and How to Handle Them

According to PYPL (PopularitY of Programming Language), Python has been the most popular programming language worldwide from 2018 to the present. Remarkably, Python’s popularity has grown by 2.5% over the last five years. In contrast, Java, the previously most popular language, has seen a 4.8% decrease in its popularity. While Java is typically faster than Python, Python is easier to read with its simpler syntax.

Advancing Observability Maturity: Core Benefits

One of the major trends in software development in the last decade has been “shifting left” responsibilities that have traditionally been under operation’s domain to earlier in the software development life cycle (SDLC). It first came in the form of DevOps where a lot of the software engineering best practices were introduced to the deploy, operate, monitor phases. Such examples include continuous integration and continuous deployment (CI/CD) and Infrastructure as Code (IaC).

Lightrun LogOptimizer Gets A Developer Productivity and Logging Cost Reduction Boost

Lightrun’s LogOptimizer stands as a groundbreaking automated solution for log optimization and cost reduction in logging. An integral part of the Lightrun IDE plugins, this tool empowers developers to swiftly scan their source code—be it a single file or entire projects—to identify and replace log lines with Lightrun’s dynamic logs, all within seconds.

Live Debugging for Critical Systems

Live debugging refers to debugging software while running in production without causing any downtime. It has gained popularity in modern software development practices, which drives many critical systems across businesses and industries. In the context of always-on, cloud-native applications, unearthing severe bugs and fixing them in real time is only possible through live debugging. Therefore, live debugging becomes an integral part of any developer’s skill set.

Why Real-Time Debugging Becomes Essential in Platform Engineering

Platform engineering has been one of the hottest keywords in the software community in recent years. As a natural extension of DevOps and the shift-left mentality it fosters, platform engineering is a subfield within software engineering that focuses on building and maintaining tools, workflows, and frameworks that allow developers to build and test their applications efficiently.

Troubleshooting Cloud Native Applications at Runtime

Organizations are moving to micro-services and container-based architectures because these modern environments enable speed, efficiency, availability, and the power to innovate and scale more quickly. However, when it comes to troubleshooting distributed cloud native applications, teams face a unique set of challenges due to the dynamic and decentralized nature of these systems.

Debugging Modern Applications: Advanced Techniques

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.

Lightrun's Product Updates - Q3 2023

Throughout the third quarter of this year, Lightrun continued its efforts to develop a multitude of solutions and improvements focused on enhancing developer productivity. Their primary objectives were to improve troubleshooting for distributed workload applications, reduce mean time to resolution (MTTR) for complex issues, and optimize costs in the realm of cloud computing. Read more below the main new features as well as the key product enhancements that were released in Q3 of 2023!