In the realm of modern software development practices, observability is no longer an optional add-on. It is a mission-critical capability. Like how control theory revolutionized industrial systems, and quality assurance redefined manufacturing processes, observability transforms the software systems and their development processes in many ways inspired by the brick-and-mortar industries. This post explores the best practices in modern observability to help you leverage its full potential.

In Java programming, lambda expressions or Java one-liners have become widely adopted practices for writing concise and expressive code. These compact, anonymous functions introduce functional programming concepts to Java, streamlining operations on collections, simplifying data manipulation, and enhancing code readability. Introduced in Java 8, lambda expressions are designed to represent blocks of executable code.

As we kick off the AWS re:Invent 2024 conference, we’re thrilled to introduce two major developer observability and live debugging advancements that bring even greater power and flexibility to developers and engineering teams everywhere. These new product capabilities — the Lightrun Visual Studio Extension and Lightrun Dynamic Traces — are designed to elevate customers’ observability workflows and streamline their development processes directly within their IDE.

Black Friday, the traditional kickoff to the holiday shopping season, is set to make waves in 2024 with projected sales reaching an impressive $10.8 billion—a 9.9% increase from last year according to Statistics.blackfriday analysts. According to the same team, Cyber Monday sales in 2024 are expected to reach $13.2 billion—a 6.1% increase from 2023. Both events in sum are expected to generate $24 billion in sales.

Since the emergence of the cloud, the DevOps movement, and the rise of microservices, developers have been increasingly responsible for the operation of their software. “You build it, you run it” (YBYR) and “You build it, you operate it” (YBYO) have become common mantras in the software engineering industry. However, there’s a misunderstanding in this statement. Developers should remain focused on building software.

In the rapidly evolving landscape of software development, the integration of generative AI has become a game-changer for organizations striving to deliver high-quality software at scale. Among its many transformative applications, autonomous debugging stands out as a critical advancement, offering the potential to revolutionize the way development teams tackle errors and maintain operational efficiency.

JIT Access, sometimes referred to as just-in-time provisioning or just-in-time privileged access management (JIT PAM), is a security strategy that grants users access privileges for limited time periods. Access is granted on an “as-needed” basis. For example, if a developer requires access to a specific platform for a week or as part of an on-call access to production duty, a JIT Access system can provide that access and automatically revoke it after the time period ends.

The software world is changing rapidly due to advancements in GenAI. These technologies are disrupting traditional processes and driving automation across every part of the SDLC. The market for AI code tools is estimated to reach $30 billion by 2032. It started with code generation, then moved to testing, QA, automatic pull requests, and beyond.

According to a recent study, failing tests alone cost the enterprise software market an astonishing $61 billion annually. This figure mirrors the vast number of resources devoted to rectifying software failures, translating into about 620 million developer hours lost each year. On average, engineers spend 13 hours to resolve a single software failure, a statistic that paints a stark picture of the current state of debugging efficiency.

Throughout the first half of 2024, Lightrun has focused on developing a range of solutions and improvements aimed at enhancing developer observability and live debugging. These advancements help organizations significantly reduce their MTTR for complex issues while boosting developer productivity. Read more below the main new features as well as the key product enhancements that were released in H1 of 2024!