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Palo Alto, CA Event | OpenTelemetry & Why it Matters for Observability & Infrastructure

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April 24, 2024
11:00 - 2:30 PM (Pacific Time)
April 24, 2024
11:00 - 2:30 PM (Pacific Time)

Palo Alto, CA Event | OpenTelemetry & Why it Matters for Observability & Infrastructure

Overview: In this Instructor-led session, we will instrument a software application to emit OpenTelemetry (OTel) metrics, events, logs, and traces (MELT Framework). Together, we'll ingest and associate this data, and we will add a visualization layer of our extracted Metrics from the Events. We’ll show how these KPIs quantify user impact/ tie to SLOs and will be correlated across our infrastructure, k8s container, network, AWS CloudWatch, and APM telemetry, allowing for informed decisions when incidents arise.

Date and time: On Wednesday, April 24th from 11:00-2:30 pm (Pacific), we'll be at the Amazon Web Services Offices in Palo Alto, CA for this fun and informative event. We'll take a break, then from 4:00-6:00 pm (Pacific) there will be an optional peer networking cocktail reception.

Daytime Format | Instructor-led Enablement Workshop (Virtual or Onsite):

Join Evolutio's 2-hour instructor-led training and short lab (sponsored by Cisco) exploring topics related to OpenTelemetry (OTel) and why it matters for Observability and User Experience. We'll also do a GenAI and AI Observability breakout.

In this workshop, participants will learn about the OTel data standard, why the Cloud Native Computing Foundation (CNCF) builds projects like Kubernetes and now OTel, and how it can be leveraged to bridge the gap amongst observability silos and tie to SLOs within organizations.

Who is this for: Network Engineers, DevOps, Applications/ Monitoring/ Site Reliability Engineering (SRE), and Infrastructure engineering teams and business leaders or other strategic roles in IT and Digital Transformation who are trying to navigate their Observability practice across hybrid environments (mix of on-prem and cloud) and multi-cloud (across AWS, Azure, GCP, and other hyperscalers).

Agenda on Wed Apr. 24th, 2024 (Pacific):

11:00 am
Arrival to Amazon's offices, introductions to the Evolutio, Cisco, and AWS teams and other Bay Area-based guests

11:30 am
Instructor-led training exploring OpenTelemetry and why it matters for Observability & User Experience hosted in room SJC18 01.400 & 01.401 with Forrest Smietanski

1:00 pm
(Optional) Generative AI and AI Observability Breakout with Scott Munson

2:00 pm
Wrap-up, message from AWS, and takeaways

2:15 pm
Beat the traffic home, or quick break before the networking reception

4:00 pm
(Optional) cocktail reception, location TBD

6:00 pm
Depart

Join us and explore a methodology for tackling OpenTelemetry's potential at your organization. Please note in the comments section if you'd like to attend virtually.


AWS Palo Alto Location & Speakers in Palo Alto, CA:

Presenter

Author

Forrest Smietankski
Full Stack Observability Architect, USA, Evolutio

Forrest joined Evolutio in 2022 as a Consultant in the Observability practice area, bringing a decade of experience in software engineering, cloud architectures, and solving large scale enterprise issues. Wearing multiple hats during a long career at Liberty Mutual; Forrest brings financial and insurance industry experience to Evolutio customers. Forrest loves working with customers on solving complex problems, and is excited to collaborate with the other Evolutio practice areas, particularly in DevOps/ Automation and data science by applying ML and AI models to customer problems.

Scott Munson
Vice President of Data Science and Analytics, Evolutio

As the VP of Data Science & Analytics at Evolutio, Scott Munson helps clients apply Machine Learning in the real world, and deliver on the promise of Enterprise AI. His experience spans many industries including engineering, biotech, agriculture, retail, finance, and IT. Scott has managed successful multi-national digital transformation initiatives across the enterprise. At Evolutio, Scott has leveraged his technical and leadership skills to deliver Data Science, Analytics, and IT Operations solutions for enterprise clients.

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