KubeCon + CloudNativeCon North America 2024: Full Schedule

In-person
November 12-15
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Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.

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11:00am MST

Lesson’s Learned Adopting OpenTelemetry at Scale - Alex Arnell, Heroku / Salesforce

Thursday November 14, 2024 11:00am - 11:35am MST

Salt Palace | Level 1 | Grand Ballroom HJ

OpenTelemetry makes bold promises to unlock and unleash your observability, providing you with open standards, no vendor lock-in and interoperability with just about everything. You believe that your organization could really benefit from an uplift to modern observability. It would be easy to adopt if you were was starting out fresh, but let’s face it, most organizations have sprawling codebases and architectures. Decisions, infrastructure and often engineers that have been in place for decades. How do you even get started? This Heroku case study dives into our OpenTelemetry journey where you'll discover strategies on adoption, how to deal with internal resistance, and technical guidance on rolling out the change. Learn from our missteps and what we wished we had done differently. You’ll even see how a bit of luck can help drive adoption over the finish line. This session will equip you to navigate OpenTelemetry adoption in the most entrenched environments.

Speakers

Alex Arnell

Principal Engineer, Heroku / Salesforce

Alex Arnell is a Principal Engineer at Heroku / Salesforce with over two decades of software development experience. Alex has spent the last decade specializing in telemetry and observability systems. Alex is the lead engineer of the Telemetry team at Heroku, responsible for the collection... Read More →

Thursday November 14, 2024 11:00am - 11:35am MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Any

11:55am MST

Cognitive and Self-Adaptive System for Effective Distributed-Tracing in Applications - Mitul Tandon & Akash Gusain, VMware; Susobhit Panigrahi, Broadcom

Thursday November 14, 2024 11:55am - 12:30pm MST

Salt Palace | Level 1 | Grand Ballroom HJ

In response to challenges of limited trace capture in dynamic API tracing systems, the solution leverages Machine Learning and Cognitive approach for unbiased trace collection. Unlike existing implementations with a skewed distribution(~5%) towards normal traces, our self-adaptive system dynamically learns to prioritise and capture diverse traces, crucial for effective diagnosis of API failures and performance issues. This innovative approach significantly enhances the SREs ability to triage complex issues, leading to a game-changing reduction in Mean Time to Resolve (MTTR). The Adaptive Sampling approach analyses existing system traces and autonomously adjusts the sampling rate, eliminating manual configs. This ML-based solution outcome includes streamlined trace metric analysis, enhanced reliability work efficiency, and considerable infrastructure cost reduction through targeted trace collection, ultimately making a significant impact on operational effectiveness & reliability

Speakers

Susobhit Panigrahi

Senior Software Engineer

As a Developer and DevOps Engineer at VMware, I specialize in developing scalable cloud software. My focus includes deploying and managing services with Kubernetes, Helm, and Istio. I'm keen to contribute to the open-source community, especially in Kubernetes and other CNCF projects... Read More →

Akash Gusain

Software Engineer, VMware

Akash Gusain is a Software Engineer at VMware with over two years of experience in building and deploying cloud-native applications. At VMware, Akash has contributed to the development of scalable and robust cloud solutions, demonstrating expertise in various technologies and fra... Read More →

Mitul Tandon

DevOps Engineer, VMware

A DevOps/SRE Engineer at VMware with 2+ years of experience with working on distributed systems and containerised applications.

Thursday November 14, 2024 11:55am - 12:30pm MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Any

2:30pm MST

Low-Overhead, Zero-Instrumentation, Continuous Profiling for OpenTelemetry - Christos Kalkanis, Elastic

Thursday November 14, 2024 2:30pm - 3:05pm MST

Salt Palace | Level 1 | Grand Ballroom HJ

Elastic has recently donated its whole-system continuous profiling agent to OpenTelemetry. After a thorough community review process, the donation was enthusiastically accepted. Leveraging eBPF, the profiling agent provides unprecedented visibility into the runtime behavior of all applications: it builds stacktraces that go from the kernel to userspace native code, all the way into code running into higher level runtimes, enabling users to identify performance regressions, reduce wasteful computations, and debug complex issues faster. This session will explore: - Benefits of eBPF-based continuous profiling compared to conventional approaches that rely on application instrumentation - How the agent builds profiles that seamlessly span kernel, native code and most widely used application runtimes - Integration with the rest of OpenTelemetry: OTLP and Collector

Speakers

Christos Kalkanis

Principal Software Engineer, Elastic

Christos is the technical lead for the edge collection group at Elastic, a maintainer for the OpenTelemetry Profiling SIG and a co-author of the donated OpenTelemetry profiling agent previously known as the Elastic Universal Profiling agent. After more than a decade of focusing on... Read More →

Thursday November 14, 2024 2:30pm - 3:05pm MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Intermediate

3:25pm MST

Measuring All the Costs with OpenCost Plugins - Alex Meijer, Stackwatch

Thursday November 14, 2024 3:25pm - 4:00pm MST

Salt Palace | Level 1 | Grand Ballroom HJ

The CNCF OpenCost project is approaching 5,000 stars on GitHub and has become one of the most popular cost monitoring systems in use. Originally focused on cloud provider and Kubernetes cost monitoring, OpenCost expanded its scope in May 2024 by launching OpenCost Plugins with Datadog as the first reference implementation. These plugins allow users to measure and visualize virtually any cost in OpenCost, without writing a single line of OpenCost code. Alex Meijer, OpenCost and OpenCost Plugins maintainer, will speak on how the OpenCost Plugins ecosystem works and will dive into the use of the open-source FOCUS spec in OpenCost, which is the key to being able to measure nearly any cost. A plugin-enabled OpenCost deployment will be demoed, with an external cost (Datadog) visualized alongside the traditional Kubernetes and cloud provider costs. Alex will also share how to get started with plugins so that users can start analyzing the costs of whatever matters to their unique use case!

Speakers

Alex Meijer

Staff Software Engineer, Stackwatch

Alex Meijer has been working with Kubernetes for his entire career, being at various times a user, operator, and currently as someone working to help others use Kubernetes better. He has served in startups ranging in size from 5-90 people. Alex contributes to the Opencost project... Read More →

Thursday November 14, 2024 3:25pm - 4:00pm MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Intermediate

4:30pm MST

Mastering OpenTelemetry Collector Configuration - Steve Flanders, Cisco

Thursday November 14, 2024 4:30pm - 5:05pm MST

Salt Palace | Level 1 | Grand Ballroom HJ

Configuring the OpenTelemetry Collector can be a daunting task for both novices and seasoned professionals alike. Yet, mastering this crucial aspect is essential for unlocking the full potential of your observability stack. In this session, you will embark on a journey to gain the knowledge and skills needed to conquer common OpenTelemetry Collector configuration challenges. This session will draw from real-world experiences and best practices and provide live demonstrations to navigate the intricacies of OpenTelemetry Collector configuration. Whether you are a novice looking to get started or a seasoned veteran seeking to level up your skills, this session promises to empower you with the knowledge and confidence needed to properly and efficiently configure the OpenTelemetry Collector.

Speakers

Steve Flanders

Senior Director of Engineering, Cisco

Steve Flanders is a Senior Director of Engineering at Splunk (acquired by Cisco) responsible for the Observability Platform team, which includes contributions to the OpenTelemetry project. He was previously the Head of Product at Omnition (acquired by Splunk). Prior to Omnition, he... Read More →

Thursday November 14, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Any

5:25pm MST

Now You See Me: Tame MTTR with Real-Time Anomaly Detection - Kruthika Prasanna Simha & Raj Bhensadadia, Apple Inc.

Thursday November 14, 2024 5:25pm - 6:00pm MST

Salt Palace | Level 1 | Grand Ballroom HJ

Picture this! You are running an application on a Kubernetes cluster & you notice that your nodes have been restarting and your users are noticing that your application is unreachable. As an engineer, you want to identify these failures in real-time & differentiate these from known states, at scale. But we know, static thresholds fail for dynamic metrics! This session explores real-time anomaly detection for cloud-native systems. We'll show you how to reduce MTTR and mean time to analyse by proactively identifying abnormal application behavior using statistical & machine learning algorithms on time series data from Prometheus. Learn to pinpoint issues, identify missing instrumentation, and visualize anomalies using Grafana. This session equips you to achieve faster issue resolution and maintain optimal application health. We'll demo practical techniques for metrics selection, anomaly detection and proactive issue identification to manage your cloud-native applications.

Speakers

Raj

Machine Learning Engineer, Apple Inc.

Raj Bhensadadia, a machine learning engineer with a passion for leveraging ML technologies to enhance monitoring and analysis of large scale systems and ensure robustness and performance of infrastructure and services.

Kruthika Prasanna Simha

Software Engineer, Apple Inc.

Kruthika is a software engineer at Apple specializing in building ML enabled observability solutions. She holds a Masters in Computer Engineering and has specialized in Machine Learning. In her free time, she likes to dabble with Jupyter Notebooks for running experiments with data... Read More →

Thursday November 14, 2024 5:25pm - 6:00pm MST
Salt Palace | Level 1 | Grand Ballroom HJ

Observability

Content Experience Level Any