Writing unit tests is expensive. Not just in time, but in technical debt.
Every test you write is code you must maintain. When you refactor, you refactor twice: once for production code, once for test code. When dependencies change, you update mocks. When APIs evolve, you rewrite assertions.
What if there was a different way? What if your tests could be generated from reality itself?
We're excited to announce the release of BitDive 1.2.6, bringing new capabilities that make runtime intelligence for JVM applications even more powerful and developer-friendly. This update expands protocol coverage, adds a new analytics view, and introduces flexible agent configuration - all designed to help teams move faster from problem detection to resolution.
Testing for JVM applications-Java, Kotlin, Spring Boot-often struggles to keep up with distributed systems, asynchronous flows, and frequent code changes. Traditional methods rely on mocks and black‑box checks that don't reflect how the system really behaves. The result: flaky tests, missed bugs, and uncertainty before release.
BitDive provides a single platform for the entire testing lifecycle. It captures real execution data, curates meaningful scenarios, replays them across builds, and validates results where it matters most-at the level of API responses, database queries, and messaging flows.
JVM-first • Testcontainers-ready • Kafka/gRPC/JDBC support • CI/CD friendly • Flake-resistant
We're excited to announce the launch of BitDive SaaS - our fully hosted, cloud-based observability platform built for modern Java microservices. This launch marks a major milestone in making deep performance tracing and real-time insight available to everyone, instantly and effortlessly.
Now, instead of setting up infrastructure or maintaining backend components, developers can get started in just minutes. The BitDive agent connects your application to our platform, and you're immediately able to trace distributed requests, profile methods, visualize service dependencies, and capture runtime data - all in a single place.
Yesterday, we announced the MCP Server (Model Context Protocol) integration for BitDive. This new capability allows you to access full runtime context for any method executed in production — including input parameters, return values, exceptions, SQL queries, and downstream calls. MCP turns observability into a daily development tool, not just a monitoring system.
Application performance isn't abstract. It's about real issues: errors, timeouts, lost users, and wasted money. But to understand what exactly is slow, it's not enough to know that "CPU is high." You need detail: which service, which method, which request, which parameters.
Monitoring and optimizing Java workloads in Kubernetes presents unique challenges. From the dynamic nature of microservices to the complexity of distributed systems, traditional tools often fall short. BitDive offers a revolutionary approach to code-level observability and real-time monitoring, purpose-built for Kubernetes environments.
Modern applications are increasingly becoming business-critical. Unstable performance, prolonged downtime, or a lack of visibility into what's happening inside the system can lead to significant financial losses and reputational damage. Meanwhile, traditional logging-based methods of monitoring often fall short: logs may be insufficient, or they get lost in a massive stream of messages.
Microservices architecture offers businesses flexibility, independent development teams, and the ability to scale individual services. However, the more complex and distributed a system is, the more pressing it becomes to have centralized monitoring and a clear view of how services interact.
Distributed systems have become the backbone of modern software architecture. But with this complexity comes the challenge of tracking down errors and understanding their impact across multiple services. Relying solely on logs or traditional error-tracking tools often leaves developers frustrated, chasing incomplete information.
That's why BitDive introduces a game-changing solution that combines error interception, distributed tracing, correlation IDs, metrics, and alerts-delivering developers a complete observability toolkit for debugging distributed applications with ease and precision.