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Latest Videos

Eaze into Observability

On-call teams use Honeycomb’s analytics to discover exactly what is happening with code in production. While incident response is a key reason engineers rely on Honeycomb, observability also delivers unique value during the development process. Eaze takes observability a step further and uses Honeycomb to prioritize what’s needed to stabilize their existing service while informing how they build their new Go and Node.js microservices platform all at the same time.

OpsRamp Using OpsRamp for Saas Ops Excellence

Like many of its customers, OpsRamp needs to ensure 24 x 7 availability and performance for key services and applications. Challenges include how to effectively manage multiple pods across different geographies, how to control access and security, and how to ease alert management and improve metrics such as response and resolution times. In this live video discussion, OpsRamp’s director of cloud operations, PVV Raju, shares best practices and tips from our internal use of OpsRamp.

Survey Says! Kubernetes Ain't Easy - Corbin Pacheco (D2iQ)

D2iQ recently conducted an independent survey of 300 IT leaders and DevOps practitioners to gather insights on Kubernetes in the Enterprise. Corbin Pacheco, Sr. Director of Product Marketing will give a sneak peek in to some of the key metrics that describe Kubernetes adoption in 2020, the evolving challenges as cloud-native technology and the landscape improve, as well as some of the impact that Covid-19 has had on Digital Transformation efforts.

Top 10 Considerations for Selecting Data Protection for Your Kubernetes Applications

Prashanto Kochavara - Trilio Are you a DevOps Engineer, Application Developer or IT Admin who needs backup and recovery, migration, DR or application mobility for Kubernetes-based applications? The extraordinary performance, scale and mobility challenges in these dynamic container environments demand a purpose-built platform that can support any public-, private- and/or multi-cloud deployment. This session covers the 10 essential things you need (and why) when choosing the right data protection solution for your cloud-native environment.

AI Chihuahua: Why Machine Learning is Dogged by Failure and Delays - Ian Hellström (D2iQ)

AI is everywhere. Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail, and for the few that are ever deployed, it takes many months to do so. While AI has the potential to transform and boost businesses, the reality for many companies is that machine learning only ever drips red ink on the balance sheet.

Honeycomb Learn Ep 1 Instrument Better for a Happy Debugging Team

Nathan LeClaire, Sales Engineer @honeycombio knows first-hand that the key to instrumenting code is to start with baby steps. With Honeycomb, a little instrumentation will give vast insights as soon as you ingest your data. With Honeycomb Beelines, we take the heavy lifting out of instrumenting. Listen to learn: See Honeycomb in action, hear best practices, and learn how fast and painless instrumentation can be.