Yuri Oliveira
SRE Manager
Vila Nova de Gaia, Portugal
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In his professional career, Yuri Sa has always been involved in helping companies achieve the next level of automation in their infrastructure. Throughout his 18 years of experience, he worked in critical environments as a SysAdmin, SRE, and DevOps Engineer. One of his central beliefs is that all barriers between Developers and Operations teams should be removed; for that reason, he decided to contribute to open-source projects focused on observability over the past few years.
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How manual OTel instrumentation saves more than just money
Many companies that have reached a mature observability practice continue to rely on auto-instrumentation, often without realizing it’s quietly draining their budgets. At this stage, observability engineers start spending countless hours chasing down cost anomalies, unaware that the problem may lie not in how much they collect, but what they collect.
What if the key to a more efficient telemetry pipeline lies inside the traces themselves?
In this talk, we will show how manual instrumentation can deliver leaner and more business-oriented telemetry. By comparing traces produced through automatic and manual instrumentation, it will be demonstrated how controlling spans and their attributes can cut data volume by up to 60%, reducing resource overhead and storage costs while improving signal-to-noise ratio.
Attendees will learn the do’s and don’ts of span and attribute management, how to identify unnecessary telemetry metadata, and practical steps to achieve higher observability efficiency.
Auto Instrumentation for your Kubernetes Workload
Applications using distributed architecture are becoming more frequent and complex through Kubernetes deployments. Developers are more concerned about generating useful logs, gathering metrics, and thus maintaining the application with precise data about the performance baseline.
Therefore, to help developers enhance this instrumenting approach, the OpenTelemetry project leverages analytical capabilities by expanding the possibilities to collect and export telemetry data from the Kubernetes workload.
In this talk, I will share an easy way for the audience to achieve the auto-instrumenting of different programming languages' workloads using the OpenTelemetry Operator.
Strengthening the Ties Between Hybrid Environments Using OpenTelemetry
The growing adoption of cloud-native architectures poses significant challenges in terms of observability, especially when operations span multiple cloud providers or on-premises. With different tools and interfaces in each environment, such as AWS, Azure, and GCP, companies face difficulties obtaining a unified, real-time view of the state of their infrastructure.
This session will present a practical approach using only open-source software to integrate, enrich, transport, and visualize telemetry data in a resilient way across hybrid environments in order to predict or avoid possible outages.
At the end of this session, you’ll be comfortable with all resources needed for open-source telemetry collection of cloud-native environments. You’ll also know how to start your observability in case you need to implement potential missing pieces.
Yuri Oliveira
SRE Manager
Vila Nova de Gaia, Portugal
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