#255: In an era where software development and operations are increasingly converging, the need for effective and efficient observability tools has never been more critical. As systems grow in complexity and the lines between development and operations blur, the role of observability in understanding and managing these systems becomes more prominent.
One significant problem is the dichotomy developers face: either being completely isolated from production observability data or overwhelmed by the volume of information available, most of which may not be directly relevant to their specific tasks.
In this episode, we talk with Liran Haimovitch from Rookout about developer observability. This concept prioritizes making observability tools and data accessible and understandable for developers, allowing them to gain insights into how their code operates in production environments. This shift is not about discarding the importance of operations in observability but rather enhancing the collective capability of teams to monitor, diagnose, and resolve issues more effectively.
Liran's contact information:
X (Formerly Twitter): https://twitter.com/liran_last
LinkedIn: https://www.linkedin.com/in/liran-haimovitch/
YouTube channel:
https://youtube.com/devopsparadox
Review the podcast on Apple Podcasts:
https://www.devopsparadox.com/review-podcast/
Slack:
https://www.devopsparadox.com/slack/
Connect with us at:
https://www.devopsparadox.com/contact/
DOP 46: Making Containers Great Again - A Conversation With Phil Estes
DOP 45: (Almost) No One Cares Enough About Kubernetes To Learn It
DOP 44: Is It Possible To Make On Premise Great Again?
DOP 43: There Is No Such Thing As Continuous Testing
DOP 42: Is Your CTO Always Going To Be Your CTO?
DOP 41: Input Questions And UIs Are Evil
DOP 40: Continuous Reliability: How To Avoid The Biggest Mistakes Developers Make
DOP 39: One API To Rule Them All
DOP 38: How Important Are You To Your Company?
DOP 37: 50 Shades of Canary Deployments
DOP 36: 4 predictions for DevOps in 2020
DOP 35: Looking Back At 2019
DOP 34: To All The Dockers I've Loved Before
DOP 33: What Happens When There Are Tektonic Shifts In Technology
DOP 32: Which Managed Kubernetes Service Sucks The Least - The Prelude
DOP 31: Do Shared Services Teams Break The DevOps Rules?
BONUS: Viktor's KubeCon 2019 review
DOP 30: Site Reliability Engineering Traps To Avoid
DOP 29: Elasticsearch: Is It A Database Or A Datastore?
DOP 28: Is Service Mesh Your New Best Friend?
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