Operations | Monitoring | ITSM | DevOps | Cloud

Join Grey Dziuba and Johnny Chen from Intel to discuss Splunk and OpenVino.

A common way to discuss observability is to break it down into three types of telemetry: metrics, traces, and logs. These three data points are often referred to as the three pillars of observability. In this episode of The More You Monitor Product Manager, Chris Sternberg, breaks down the three pillars of observability and how they can help you gain better control and visibility of your infrastructure, applications, and networks. It’s important to remember that although these pillars are key to achieving observability, they are only the telemetry and not the end result.

Scott Sauber, Director of Engineering at Lean TECHniques Inc., covers the challenges and benefits of source controlling database changes, including a demo of Flyway.

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

Rob sits down with Charity Majors to discuss the journey to creating Honeycomb, business building practices, and the importance of proper CI/CD and monitoring. Charity gives us the latest insights on observability and the necessities for engineering team success. What metrics are meaningful for your team to measure? Which ones are not? Tune in today to find out. Watch, learn, and leave us a comment with your thoughts, questions, or ideas for future podcast episodes.

Artificial intelligence is becoming increasingly powerful and ubiquitous. This coupled with the rapid pace of AI adoption has many organizations scrambling to adopt some form of enterprise AI. However, many experts also believe that while AI adoption has accelerated in recent times, it may be moving too fast. In a bid not to get left behind, many organizations jump onto the AI bandwagon without fully understanding how it fits in with their organizational strategy. Many business leaders also believe that some level of control and regulations is required to ensure AI solutions achieve their full potential.

A brief walkthrough of how to use the Code function in Cribl LogStream.