It is day 3 of SigNoz Launch Week 2.0, and we’re super excited to unveil features related to one of the core tenets of SigNoz. With SigNoz, you can monitor logs, metrics, and traces under a single pane of glass. With three signals under a single pane of glass, the scope for getting more context while debugging your application is immense. Using SigNoz, you can already correlate your traces with logs and check traces associated with APM metrics.

An investment of 1 million dollars, no less. This is the amount that BDC Capital has decided to invest in Hector. With this support, we will be able to propel our growth to unprecedented heights, particularly in the United States and around the world. BDC Capital is the investment division of BDC. It offers a full range of capital, both for companies in the startup phase and those seeking growth investment. It also supports Canadian companies aiming to expand globally.

Devart is excited to announce a major release featuring new SSIS Data Flow Components for Zendesk, SurveyMonkey, and Shopify. This update also introduces a new subscription model with flexible and cost-effective plans for users, along with expanded licensing options. Additionally, significant enhancements have been made to improve performance and functionality of the existing SSIS Data Flow Components that aim to help businesses take their data integration processes to a whole new level. In this release.

Komodor, the company that automates Kubernetes management, today announced Klaudia, the first Generative AI (GenAI) agent for troubleshooting and remediating operational issues, as well as optimizing Kubernetes environments. Integrated within the Komodor Kubernetes Management Platform, Klaudia simplifies and accelerates root-cause analysis, empowering both platform and application teams with precise diagnostics to resolve issues with unprecedented speed and precision.

Mattermost is excited to announce the release of v10.0, bringing with it a groundbreaking enhancement to our Mattermost Copilot plugin: support for multiple large language models (multi-LLM). This feature, designed to empower mission-critical enterprises, adds a new layer of flexibility, privacy, and control to your AI-driven workflows.

Today, we’re excited to unveil the Anomaly Detection feature. It will enable users to create smarter alerts based on dynamic metrics, moving beyond traditional fixed-threshold alerts. It will soon be available to all our users and is currently undergoing beta testing with select users. By detecting deviations from expected patterns, Anomaly Detection will help you stay informed about critical issues without getting overwhelmed by irrelevant alerts. Let’s dig in deeper.