#kubernetes helps teams of all sizes optimize their #microservices architecture by enabling seamless automated containerized app deployment, easy scalability, and efficient operations. But Kubernetes also has a reputation for being difficult to learn and complex to manage, and when you’re new to something, it’s hard to know what you don’t know.

While baggage isn’t required for distributed tracing, it is required for carrying metadata between services. How will the observability community address that and make it easier over time? Featuring: Winston Hearn, Frontend Observability Expert and Hazel Weakly, Web Developer and SRE.

What is the biggest value of #observability as practiced on the #backend that you are excited to see taken up as more #frontend #developers start practicing observability on their own? Featuring: Winston Hearn, Frontend Observability Expert and Hazel Weakly, Web Developer and #SRE.

Featuring: Winston Hearn, Frontend Observability Expert and Hazel Weakly, Web Developer and SRE.

What kind of questions can you ask about your #frontend with #distributedtracing? Featuring: Winston Hearn, Frontend #Observability Expert and Hazel Weakly, Web Developer and SRE.

How does the usefulness of auto-instrumentation differ for the #frontend versus the #backend?

As a new company poised to transform the financial services industry with its modern money movement platform, Moov wanted an equally modern observability platform as part of the company’s operational tech stack.

In this three minute clip from our recent webinar with DORA's Nathen Harvey, Charity Majors explains observability 1.0 versus observability 2.0.

In this three minute clip from our recent webinar with DORA's Nathen Harvey, Charity Majors explains observability 1.0 versus observability 2.0.

If you wrote a query but realized you were in the wrong environment, here's how you can avoid having to rewrite your query by copying the JSON. Thanks Jessitron for making this helpful video!