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.

We’re thrilled to announce that SigNoz has achieved both SOC2 Type II and HIPAA compliance! This accomplishment marks a significant milestone in our commitment to building a secure and trustworthy observability platform for our users. Visit our trust center for more details.

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.

Odds are that a software engineer today is really focused on one place: pre-prod. Short for “pre-production,” this is slang for an environment where software code operates in a prototype phase of its development lifecycle. Common sense would have one believe that this is a safe space, a workbench of sorts, where problems can be found and remediated.

Elevated connection churn can be a sign of an unhealthy distributed system. Connection churn refers to the rate of TCP client connections and disconnections in a system. Opening a connection incurs a CPU cost on both the client and server side. Keeping those connections alive also has a memory cost. Both the memory and CPU overhead can starve your client and server processes of resources for more important work.

The 5G Edge is revolutionising the telecommunications industry by significantly enhancing network performance, bringing computing power closer to users, and dramatically reducing latency, enabling faster and more efficient services. This advancement is crucial for a variety of applications across different sectors, including smart cities, autonomous vehicles, healthcare, and industrial automation.

In today's interconnected world, ensuring network reliability and performance is not just important—it's a must. Network alarms serve as the first line of defense in identifying and mitigating potential issues, providing network operations teams with the actionable insights they need to respond swiftly and effectively. To truly empower network operations teams to boost agility and efficiency, these alarms must be real-time and actionable.

For years, AI in operations was plagued by noise—overwhelming alerts, false positives, and a lack of actionable insights. The tools available promised much, but often delivered little, leading to a loss of trust. However, with the groundbreaking work by platforms like OpenAI and the emergence of trustworthy AI tools like Copilot, the potential of AI in operations has never been nearer and clearer.

When working with advanced AI models like Anthropic’s Claude and AWS Titan, precise communication is key. Both models require specific prompting techniques to maximize their potential. For Claude, clear instructions, structured prompts, and role assignments lead to better accuracy and responsiveness. On the other hand, AWS Titan thrives on concise, well-defined requests and delivers streamlined outputs by default.

It’s 10:00 p.m. on a Sunday when my 9th grader bursts into my room in tears. She says she doesn’t understand anything about algebra and is doomed to fail. I jump into supermom mode only to discover I don’t remember anything about high school math. So, I do what any supermom does in 2024 and head to ChatGPT for help. These generative AI chatbots are amazing. I quickly get a detailed explanation of how to solve all her problems.