DevConf.US 2022 - Exploring Open Source Telco Success at Scale
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(Note the title of the slides was updated so does not match, but content is correct) You've heard of large scale open source architectures, but have you ever wanted to take a serious look at real life enterprise telco implementations that scale? This session takes attendees on a tour of multiple use cases for enterprise challenges in the telco domain with a look at use cases for integration, networks, 5G, hyperscalers, and much more. Not only are these architectures interesting, but they are successful real life implementations featuring open source technologies and power many of your own edge experiences. The attendee departs this session with a working knowledge of how to map general open source technologies to their own telco solutions. Material covered is available freely online and attendees can use these solutions as starting points for aligning to their own solution architectures. Join us for an hour of power as we talk architecture shop!
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Your AAP should include responses to all of customer’s RFP and should include logical and physical component pf the design, information on technologies used in design solution, and proposal to implementing the design. The following sections describe the format of AAP:
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Evolutionary evnt-driven-architecture-for-accelerated-digital-transformation
Evolutionary evnt-driven-architecture-for-accelerated-digital-transformation
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Curious about containers beyond Docker? There’s a new generation of containers on the scene, Podman! Supporting secure, rootless containers for Kubernetes microservices, it was designed and built with the cloud in mind. Benefitting from the lessons learned out in the open from Docker, this next generation of containers will quickly become a trusted daily driver in your dev workflow.
Covering what you need to know as an end-user from the UI to the backend, sharing a real world use case leveraging Podman for open source observability workshops https://o11y-workshops.gitlab.io. Paige will share how Podman and the adorable seal mascots Caitlín, Maighréad and Róisín have transformed her local development!
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Are you looking at your organization's efforts to enter or expand into the cloud native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud native observability? When you're moving so fast with agile practices across your DevOps, SRE's, and platform engineering teams, it's no wonder this can seem a bit confusing. Unfortunately, the choices being made have a great impact on both your business, your budgets, and the ultimate success of your cloud native initiatives. That hasty decision up front leads to big headaches very quickly down the road. In this talk, I'll introduce the problem facing everyone with cloud native observability followed by 3 common mistakes that I'm seeing organizations make and how you can avoid them!
Key takeaways - This session is never the same twice as you the audience / attendees choose from a list of cloud native observability pitfalls that DevOps have to contend with in their daily cloud native lives! Super engaging and fun to tour the challenges that interest you most!
OpenShift Commons Paris - Choose Your Own Observability Adventure
Great observability begins with great instrumentation! We know it's hard to decide where to start your observability journey, so we've come up with a perfect introduction to observability workshop collection getting you hands-on with the best open source cloud native observability projects available. Attendees can pick their own cloud native observability learning path (https://o11y-workshops.gitlab.io) in this session from the following workshops:
OpenTelemetry (traces) - Learn how to adopt OpenTelemetry by instrumenting a sample application with spans and metrics. You’ll leave with an understanding of how telemetry travels and be ready to bring OpenTelemetry to your project. The workshop is self-paced and available online, so attendees can continue to explore after the event: https://o11y-workshops.gitlab.io/workshop-opentelemetry
Prometheus (metrics) - During the workshop, you will install Prometheus, collect metrics, and learn how to effectively run it in your observability stack. The workshop is self-paced and available online, so attendees can continue to explore after the event: https://o11y-workshops.gitlab.io/workshop-prometheus
Fluent Bit (pipelines) - This workshop will guide you through the open source project Fluent Bit, what it is, a basic installation, and setting up a first cloud native observability pipeline project. The workshop is self-paced and available online, so attendees can continue to explore after the event: https://o11y-workshops.gitlab.io/workshop-fluentbit
Perses (visualization) - Great observability is impossible without great visualization! Learn how to adopt truly open visualization by installing Perses, exploring the provided tooling, tinkering with its API, and then get your hands dirty building your first dashboard in no time! The workshop is self-paced and available online, so attendees can continue to explore after the event: https://o11y-workshops.gitlab.io/workshop-perses
Checking the pulse of your cloud native architecture
The daily choices you make as an engineer when shipping code contributes to the feedback loop. In cloud native environments a surprising amount of data is generated from the application layer down to infrastructure and along the delivery path. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pressures on our engineering teams around the collection, storage, and maintenance of your cloud data can mean the difference between successful teams and burnout. Let us take you on a journey, looking closely at the current state of observability based on a recent research conducted with 500 cloud native engineers and find out what it’s like to be in the trenches.
3 Pitfalls Everyone Should Avoid with Cloud Data
The daily hype is all around you. From cloud native, multicloud, to hybrid cloud, this is the path to your digital future. The choices you make as a developer does not preclude the daily work of enhancing your customer's experience and agile delivery of your applications. With all this delivery and infrastructure, there is a lot of data generated when engaging with any cloud experience. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pitfalls around the collection, storage, and maintenance of your cloud data can mean the difference between bankruptcy and success with our cloud native strategy. Let us take you on a journey, looking closely at the decisions you are making as a developer delivering and dealing with monitoring your applications. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as their developers transitioned their data needs into cloud native environments.
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Observability For You and Me with OpenTelemetry (with demo)
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community. (includes demo)
3 Pitfalls Everyone Should Avoid with Cloud Native Observability
Are you looking at your organization's efforts to enter or expand into the cloud native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud native observability? When you're moving so fast with agile practices across your DevOps, SRE's, and platform engineering teams, it's no wonder this can seem a bit confusing. Unfortunately, the choices being made have a great impact on both your business, your budgets, and the ultimate success of your cloud native initiatives. That hasty decision up front leads to big headaches very quickly down the road. In this talk, I'll introduce the problem facing everyone with cloud native observability followed by 3 common mistakes that I'm seeing organizations make and how you can avoid them!
Observability For You and Me with OpenTelemetry
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing your microservices and applications on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of opportunities for getting started with telemetry data. The project, openTelemetry (OTEL), is where we start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation to lay a foundation. Then we’ll explore the OTEL community and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OTEL protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts in distributed tracing!
Key takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Roadmap to Becoming a CNCF Ambassador
The CNCF Ambassador program is designed for individuals who are passionate about cloud native technologies and want to contribute to the community. Becoming an ambassador is a great opportunity to enhance your knowledge, gain visibility within the industry, and help drive the adoption of cloud-native technologies. The road to becoming an ambassador might seem intimidating, scary, or just impossible, but it does not have to be. We've put together a roadmap that leads you to the title of CNCF Ambassador. In this session a current ambassador and the community manager share the stage to bring you insights into achieving the title of CNCF Ambassador. Whether you are a developer, student, or seasoned professional, this talk provides attendees with 5 actionable insights needed to take your cloud-native skills to the next level and become a CNCF Ambassador. Join us to learn how you can contribute to the community and advance your career by taking the road to the CNCF Ambassador community.
Cloud Native Bedtime Stories - Terrifying Execs into Action
Anyone embedded in the cloud native teams in any organization can voice their frustrations at not being taken seriously by their executive decision makers. This leads to way too much on-call stress, frustrations, and eventual burnout. With research showing us DevOps spending over 10 hrs a week on issues in their environments, we could all use quick action by our executives when we find ways to fix our cloud native issues. The trick is to tell the tales we accumulate in such a way as to engage, inspire, and effect change in our organizations. This session provides attendees with ample cloud native bedtime stories, tricks that make your tales land within the executive human mind, and actionable insights to head home with immediate results. Join me for a half hour of power where you are empowered to tell better cloud native stories for better executive decision outcomes.
Key takeaways - Attendees to this session will be given a small yet powerful set of examples to help them effectively tell their cloud native observability tales to motivate their executives into action. Humans listen to stories (tales) more than they pay attention to pages of charts, dashboards, and data. Learn how to tell your tales, terrifying and educational, with tips and tricks to engage your executives into believing your need for organization’s observability improvements.
SRECon EU 2023 - Three Phases to Better Observability Outcomes
We all want to have better business outcomes for our organizations solutions, such as faster remediation of problems, easier problem detection, greater revenue generation, happier customers, and engineering teams that can remain focused on delivering more business value. The problem with the popular three pillars (metrics, logs, tracing) is that you are talking about technology aspects and not about solutions. It's like talking about the tools in a mechanics toolbox used to make your convertible run again, instead of focusing on the blue smoke coming out of the exhaust, the rising engine temperature, and using that data to quickly remediate the problem by replacing the seals to prevent oil leaking in the engine. Let’s quickly tour the phases that lead to better outcomes and get our focus back on effective observability goals.
Key takeaways - Modern cloud native observability needs three guiding phases to provide better outcomes, not tooling.
Based on article: https://www.schabell.org/2022/09/o11y-guide-cloud-native-observability-needs-phases.html
Optimizing Observability Spend: Metrics
Are you collecting just about every metric under the sun and the kitchen sink too? Understanding the cost of collecting metrics and the usefulness of those metrics is the only way to scale in a cloud native world. You can’t get away with just collecting everything as you grow. Your observability teams need to make decisions about what to collect, what to drop, what to aggregate, and still be able to alert, triage, remediate, and do their root cause analysis on a daily basis. Gain immediate insights into high cost data (DPPS), when to drop time series data, and how to determine when the value of that data is at its lowest. Session includes a recorded demo video of it in action.
Engaging Your Execs - Telling Great Observability Tales Inspiring Action
Anyone embedded in the cloud native observability teams in any organization can voice their frustrations at not being taken seriously by their executive decision makers. This leads to way too much on-call stress, frustrations, and eventual burnout. With research showing us DevOps spending over 10 hrs a week on issues in their environments, we could all use quick action by our executives when we find ways to fix our cloud native issues. The trick is to tell the tales we accumulate in such a way as to engage, inspire, and effect change in our organizations. This session provides attendees with ample cloud native bedtime stories, tricks that make your tales land within the executive human mind, and actionable insights to head home with immediate results. Join me for a half hour of power where you are empowered to tell better observability stories for better executive decision outcomes.
WTF is SRE - Telling Effective Tales about Production
Storytelling is as old as time itself…. Since the beginning of humankind, we share our experiences, we teach, we inspire, we relate to stories as told all around us. How can we learn to use this powerful mechanism to tell effective tales about our production environments when dealing with our management teams?
Learn how humans listen to stories (tales) more than they pay attention to pages of charts, dashboards, and data. If you want to learn how to make sure your message lands and how to effectively manage upwards in your organization, this is the session for you. Attendees will depart with a small yet powerful set of actionable examples that almost ensure your stories will capture your management's attention. One thing is certain, stories are being told, but what are your production stories and how can you become adept at telling them?
Optimizing Observability Spend: Metrics
Are you collecting just about every metric under the sun and the kitchen sink too? Understanding the cost of collecting metrics and the usefulness of those metrics is the only way to scale in a cloud native world. You can’t get away with just collecting everything as you grow. Your observability teams need to make decisions about what to collect, what to drop, what to aggregate, and still be able to alert, triage, remediate, and do their root cause analysis on a daily basis. Gain immediate insights into high cost data (DPPS), when to drop time series data, and how to determine when the value of that data is at its lowest. Session includes a recorded demo video of it in action.
Observability For You and Me with OpenTelemetry
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Open Source 101 - Observability For You and Me with OpenTelemetry
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
3 Pitfalls Everyone Should Avoid with Cloud Data
The daily hype is all around you. From cloud native, multicloud, to hybrid cloud, this is the path to your digital future. The choices you make as a developer does not preclude the daily work of enhancing your customer's experience and agile delivery of your applications. With all this delivery and infrastructure, there is a lot of data generated when engaging with any cloud experience. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pitfalls around the collection, storage, and maintenance of your cloud data can mean the difference between bankruptcy and success with our cloud native strategy. Let us take you on a journey, looking closely at the decisions you are making as a developer delivering and dealing with monitoring your applications. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as their developers transitioned their data needs into cloud native environments.
Key Takeaways: Attendees to this session will gain insights into the data explosion that is part of the large scale cloud native world. Real customer experiences are used to highlight the three top lessons learned as their developers transitioned their data needs into cloud native environments.
3 Pitfalls Everyone Should Avoid with Cloud Native Data
The daily hype is all around you. From cloud native, multicloud, to hybrid cloud, this is the path to your digital future. The choices you make as a developer does not preclude the daily work of enhancing your customer's experience and agile delivery of your applications. With all this delivery and infrastructure, there is a lot of data generated when engaging with any cloud experience. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pitfalls around the collection, storage, and maintenance of your cloud data can mean the difference between bankruptcy and success with our cloud native strategy. Let us take you on a journey, looking closely at the decisions you are making as a developer delivering and dealing with monitoring your applications. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as their developers transitioned their data needs into cloud native environments.
Key Takeaways: Attendees to this session will gain insights into the data explosion that is part of the large scale cloud native world. Real customer experiences are used to highlight the three top lessons learned as their developers transitioned their data needs into cloud native environments.
DZone webinar - Shift left Observability
Whether you’re an enterprise migrating to cloud-native or born in the cloud, most of today’s APM and Observability tools don’t support how your engineers and DevOps teams need to develop, deploy, and support their software. Observability needs to shift left and reflect the modern way companies organize their development teams and their vital interdependencies.
Chronosphere is the only vendor addressing the unique requirements for observability in a cloud-native world.
Join this webinar to learn:
• What cloud native observability is and how it is different from the promises made by traditional cloud APM and observability vendors
• How to use cloud-native observability to do more “Dev” and less “Ops” so you can dramatically improve developer and engineer workflows and productivity
• How to make on-call shifts less stressful so that your engineers aren’t getting burned out
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Choose Your Own Adventure - Cloud Native Observability Pitfalls
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3 Pitfalls Everyone Should Avoid with Cloud Native Observability
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Cloud Native Bedtime Stories - Terrifying Execs into Action
SRECon EU 2023 - Three Phases to Better Observability Outcomes
SRECon EU 2023 - Three Phases to Better Observability Outcomes
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WTF is SRE - Telling Effective Tales about Production
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DevConf.US 2022 - Exploring Open Source Telco Success at Scale
- 1. What’s Powering Your Network An architectural peek August 2022 Ishu Verma, Red Hat Eric Schabell, Chronosphere
- 2. Agenda ● Value of architecture ● Telco overview ● Use cases ● Q&A
- 6. These architectures are providing a common repeatable process, visual language and tool set, presentations, and architecture diagrams. These document customer deployments of three or more open source technologies that continuously advance successful customer use cases. TALKING ARCHITECTURE SHOP Demos Customer research Enablement & Presentations Presentation Videos Diagrams Publications Solution Brief
- 7. THREE LEVELS OF ARCHITECTURE Logical view High level abstractions of services and platforms. No networking or data flows. Service descriptions can be added. Schema / Physical Describes the main nodes and services and their interactions and network connections. Product details can be included. Cardinality and logical groupings can be described. Node or Service detail Detailed look at one specific service. Includes deployment mode, storage and networking details. TALKING ARCHITECTURE SHOP
- 8. Current State ● How we got here ● Path forward ○ Use case adaptability ○ Agility ○ Cost effective (CapEx/OpEx) ○ Ease of deployment and operation
- 9. The DeFacto Platform for 5G Next-generation 5G platform • Scaleable • Real-time data streaming • Service based architecture • Deployment flexibility • Continuous software delivery, integration, and testing • Modular network design • Stateless and state-efficient services • Security 5GC Requirements Disaggregated Cloud-native Application life-cycle management 5G Imperatives Logging Monitoring Validation Build, deployment pipeline Container management Invocation messaging/IPC Resilience Tracing Discovery Common 5G platform Load balancing, scaling/elasticity Create a platform to support decomposed microservices in containers
- 10. Telco 5G Core with Hyperscalers Introduction Cost effective, highly scalable, automatable with minimal ROI risk Cloud native, disaggregated, scalable and agile 5G core Custom networks with unique characteristics on a shared infrastructure Business Drivers Multi- Cluster Mgmt. Orches- tration Telemetry Management Cloud Native Components Container Platform 5G Core Functions 5G Supp. Functions 5G Mgmt. Functions Infra. Services Security & Policy Mgmt. Hyperscaler
- 12. OSS/BSS Core Modernization Cost effective, highly scalable, automatable with minimal ROI risk Faster TTM delivering new services Simplify deployments with modular approach Business Drivers Platform Orches- tration Telemetry Central Management Application Platform Value Added Services Core Functions Platform Components Infra. Services Security & Policy Hyperscaler Config.
- 14. Radio Access Network Introduction Cost effective, security conscious and use case adoptable Cloud native, disaggregated, scalable and agile Radio Access Network Custom networks with unique characteristics on a shared infrastructure Business Drivers Orches- tration Telemetry Management Container Platform Cell Site Radio Unit 14 Edge Data Center Distributed Unit Regional Data Center Central Unit Central Data Center Element Management System Multi- Cluster Mgmt. Control Plane
- 16. Backups