Often, logs, metrics and traces that are clearly indicative of an upcoming production crisis are lost in the sea of telemetry data generated by modern, distributed AWS environments.
This is especially true in environments powered by technologies like Kubernetes. Each component in a microservices architecture, such as databases, cloud infrastructures, backend and frontend services, produces different kinds of telemetry data that must be monitored for performance and reliability.
The result is a barrage of telemetry data that increases in scale and variety as AWS workloads grow. Engineers hoping to identify and investigate production issues must collect, aggregate, index and visualize this data so it can be analyzed, introducing a serious data analytics challenge.
Join this webinar to learn three key ways to simplify Kubernetes monitoring on AWS:
You’ve probably written a hundred abstracts in your day, but have you come up with a template that really seems to resonate? Go back through your past webinar inventory and see what events produced the most registrants. Sure – this will vary by topic but what got their attention initially was the description you wrote.
Paint a mental image of the benefits of attending your webinar. Often times this can be summarized in the title of your event. Your prospects may not even make it to the body of the message, so get your point across immediately. Capture their attention, pique their interest, and push them towards the desired action (i.e. signing up for your event). You have to make them focus and you have to do it fast. Using an active voice and bullet points is great way to do this.
Always add key takeaways. Something like this....In this session, you’ll learn about: