Operations | Monitoring | ITSM | DevOps | Cloud

Today, we’re excited to announce a much-awaited feature in SigNoz: Infrastructure Monitoring, built natively on OpenTelemetry. Infrastructure monitoring is a critical aspect of modern observability. Without proper visibility into your infrastructure resources, troubleshooting issues, optimizing costs, and maintaining performance become challenging.

Modern software systems are complex, with multiple services interacting across different environments. Understanding how they behave—tracking performance, identifying bottlenecks, and diagnosing failures—requires more than just collecting data. OpenTelemetry provides a standardized way to gather logs, metrics, and traces, but the real value comes from making that data easy to interpret through visualization.

Logging is essential for understanding what’s happening inside your software. It helps developers and operators catch issues, monitor system health, and track application behavior. A big part of logging is log levels—these indicate how serious a message is, from routine updates to critical errors. In this post, we’ll break down everything you need to know about log levels, how they compare to Syslog log levels, and best practices for making the most of your logs.

Datadog and New Relic didn’t become some of the best observability platforms today by accident. Unlike traditional monitoring tools, both are built from the ground up to be cloud-native. This design is crucial for tracking system health across hybrid cloud infrastructure, modern applications, and microservices/containerized architectures. Both platforms also offer more flexible pricing models than the traditional subscription-based pricing you’ll see elsewhere.

Azure Flexible Server joins the suite of PostgreSQL hosting platforms supported by Redgate Monitor, which also includes Linux hosts or VMs, Amazon RDS and Aurora. Our goal is to provide you with a single-pane-of-glass view of your entire PostgreSQL estate, whether it’s running in Azure, AWS, or on-prem, ensuring simpler troubleshooting, better insights, and faster performance tuning.

2022 was the "Model T" moment for generative AI, with ChatGPT making its grand entrance and shaking up digital transformation the way Ford changed mobility. The excitement and trust in AI are so real that VCs have funneled $3.9 billion into generative AI in Q3 2024 alone. 49% of companies are allocating new budgets to AI initiatives, and firms like Marsh McLennan have already deployed 40+ AI applications in production.

The global Customer Data Platform (CDP) market, expected to cross $28 billion by 2028 with a CAGR of 39.9%, highlights the growing dependence on data-driven marketing strategies. As the cornerstone of modern marketing, CDPs have become indispensable for businesses seeking to harness the power of their customer data. CDPs help build a unified customer view that enables businesses to personalize campaigns for seamless engagement across marketing channels.