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!
Power Up with Podman - Kubernetes Community Day LAPaige Cruz
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!
Curious about containers? 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!
A high-level overview of Docker concepts and getting started with Docker.
Outline:
1. What is a container?
2. What is Docker?
3. Running containers
4. Working with containers
5. Building your own containers
6. Improving your containers
Recent changes in one desktop product generated many doubts in developer communities regarding containers. Can we still use or create them? Do we have alternatives to docker? We have some answers! Join us in this session to learn more about some popular docker alternatives. You can create containers without docker, and you can also run and publish them. There's life after docker, and containers are here to stay.
Presentation I presented at Codemotion 2015 in Rome.
It's about how to build and share reproducible, portable development environments with Vagrant and Docker
Power Up with Podman - Kubernetes Community Day LAPaige Cruz
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!
Curious about containers? 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!
A high-level overview of Docker concepts and getting started with Docker.
Outline:
1. What is a container?
2. What is Docker?
3. Running containers
4. Working with containers
5. Building your own containers
6. Improving your containers
Recent changes in one desktop product generated many doubts in developer communities regarding containers. Can we still use or create them? Do we have alternatives to docker? We have some answers! Join us in this session to learn more about some popular docker alternatives. You can create containers without docker, and you can also run and publish them. There's life after docker, and containers are here to stay.
Presentation I presented at Codemotion 2015 in Rome.
It's about how to build and share reproducible, portable development environments with Vagrant and Docker
Slides from my PyTexas 2015 talk about building Python apps using the Docker ecosystem!
Source: https://bitbucket.org/markadams/pytexas-2015
Demo app: https://bitbucket.org/markadams/pytexas-2015-demo
Neo4j works very well in cloud environments. However, with such variance in compute, network, and storage options, the job of configuring a production database environment is getting complex. In this demo-oriented session, Patrick and David Makogon will introducing straightforward ways to configure and deploy Neo4j with Docker containers, as well as showing how to use automated cloud resource configuration with the new Azure Resource Manager.
Faster and Easier Software Development using Docker Platformmsyukor
Faster and Easier Software Development using Docker Platform presentation for Workshop with Open Source Community 1/2019 organized by MAMPU Malaysia under project Open Source Development and Capabilities Program (OSDeC) for Public Sector in Malaysia on January 29, 2019 at Port Dickson, Negeri Sembilan, Malaysia.
PuppetConf 2017: What’s in the Box?!- Leveraging Puppet Enterprise & Docker- ...Puppet
“Docker, Docker, Docker.” It’s a phrase we hear often, but what are containers, what can they be used for, and why should you know more about them? In this session, Grace (Puppet) and Tricia (AppDynamics) will introduce attendees to Docker and help them build and deploy their first container with Puppet. They will leverage the docker_image_build module from the Puppet Forge and take attendees through the proper workflow for coupling Docker and Puppet together. The session will focus on how to use some of the newest Docker features, such as multi-stage build files and password stores within Docker so you can pass "secrets" to a swarm for login credentials. The goal is to provide newcomers with a working proficiency of how to get started deploying containers using Puppet as their automation tool.
Docker Container As A Service
X11 Linux apps on mac in a container.
In container Java development with STS or Eclipse in a container.
Docker UCP and swarm load balancing with Interlock.
OCI as the most important organization in the container ecosystem driving vendor neutrality, standardization and making this amazing technology accessible globally
Presentato al sesto WebMeetup del Machine Learning / Data Science Meetup Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/273089965/
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
Choose Your Own Adventure - Cloud Native Observability PitfallsEric D. Schabell
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 AdventureEric D. Schabell
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
More Related Content
Similar to Power Up with Podman - Cloud Native + K8s Meetup
Slides from my PyTexas 2015 talk about building Python apps using the Docker ecosystem!
Source: https://bitbucket.org/markadams/pytexas-2015
Demo app: https://bitbucket.org/markadams/pytexas-2015-demo
Neo4j works very well in cloud environments. However, with such variance in compute, network, and storage options, the job of configuring a production database environment is getting complex. In this demo-oriented session, Patrick and David Makogon will introducing straightforward ways to configure and deploy Neo4j with Docker containers, as well as showing how to use automated cloud resource configuration with the new Azure Resource Manager.
Faster and Easier Software Development using Docker Platformmsyukor
Faster and Easier Software Development using Docker Platform presentation for Workshop with Open Source Community 1/2019 organized by MAMPU Malaysia under project Open Source Development and Capabilities Program (OSDeC) for Public Sector in Malaysia on January 29, 2019 at Port Dickson, Negeri Sembilan, Malaysia.
PuppetConf 2017: What’s in the Box?!- Leveraging Puppet Enterprise & Docker- ...Puppet
“Docker, Docker, Docker.” It’s a phrase we hear often, but what are containers, what can they be used for, and why should you know more about them? In this session, Grace (Puppet) and Tricia (AppDynamics) will introduce attendees to Docker and help them build and deploy their first container with Puppet. They will leverage the docker_image_build module from the Puppet Forge and take attendees through the proper workflow for coupling Docker and Puppet together. The session will focus on how to use some of the newest Docker features, such as multi-stage build files and password stores within Docker so you can pass "secrets" to a swarm for login credentials. The goal is to provide newcomers with a working proficiency of how to get started deploying containers using Puppet as their automation tool.
Docker Container As A Service
X11 Linux apps on mac in a container.
In container Java development with STS or Eclipse in a container.
Docker UCP and swarm load balancing with Interlock.
OCI as the most important organization in the container ecosystem driving vendor neutrality, standardization and making this amazing technology accessible globally
Presentato al sesto WebMeetup del Machine Learning / Data Science Meetup Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/273089965/
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
Similar to Power Up with Podman - Cloud Native + K8s Meetup (20)
Choose Your Own Adventure - Cloud Native Observability PitfallsEric D. Schabell
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 AdventureEric D. Schabell
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 architectureEric D. Schabell
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 DataEric D. Schabell
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.
Observability For You and Me with OpenTelemetry (with demo)Eric D. Schabell
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 ObservabilityEric D. Schabell
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!
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.
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 ActionEric D. Schabell
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 OutcomesEric D. Schabell
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
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 ActionEric D. Schabell
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 ProductionEric D. Schabell
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?
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.
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 OpenTelemetryEric D. Schabell
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 DataEric D. Schabell
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 DataEric D. Schabell
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.
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
Storytelling - How to build and delivery a storyEric D. Schabell
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. They are told by elders, they are told by kids at the dinner table, they are written down in books, and they are captured on video or tape. One thing is certain, stories are being told, but what are your stories and how can you become adept at telling them?
These slides: http://go/storytelling
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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!
Experienced with Docker? This is all you need to know…. ;-)
To be honest I spend so much of my brainspace deep in the world of OpenTelemetry and the tracing ecosystem I’ve kind of taken container tech for granted.
Didn’t really have a need or interest to dive into what was happening to make the containers run I was more focused on what I was running and writing.
And like with everything in tech the more you look under the covers the more you realize how many people and projects work together to make tech work
So! Let’s set foundation
I start by checking out the logo always! They reveal so much!
The logo is three Selkies, a mythological Irish creature that can morph between human and seal, in the logo they’re shown in seal form…as a POD of seals which makes sense because Podman is short for Pod Manager
Their names are Caitlín (Kat-leen), Maighréad (Mare-Gred),and Róisín (Ro-Sheen)
For me, 2023 was the first I’d even heard of Podman, turns out the first release was 6 years ago back in 2018!
A short year later and V1.0.0 landed on January 11, 2019
Bringing my fave feature podman play kube
Then a lot of bug fixes, features, and development work charged on from 2020-2022
Noteworthy is Kubernetes 1.24 dropping support for dockershim in favor of runtimes that are CRI (container runtime interface) compliant
2023 brought
Podman Desktop release v1.0.0 landed May 17
Finally you are here, 2024, bringing a rev of a MAJOR version, 5.0 which brings changes to the podman machine command, noting improved reliability and efficiency with shorter boot times! Win win win! Mac users rejoice Apple Hypervisor supported default. This was my one bugaboo with Podman and literally yesterday the blog post on 5 dropped.
In one sentence, Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux system. This is what you see when you look up the official definition.
Another container engine you may be familiar with is Docker. This talk delves into the differences between each project.
We’re going to take this definition term by term
We will come back to daemonless.
Before we can answer “what is a container engine?” it’s important to quickly cover what a container even is
A container is sort of like how terrarium is a miniature garden and fully functioning ecosystem encapsulated in a sealed glass container
Except instead of plants, you’re containing everything needed for an application to run.
Container engines perform containerization, that is turning an image (essentially tarball of all the deps) into a running processes which includes things like:
Handling user input
Pulling container images from a registry
Expanding or compressing the container image
Preparing mount points
Managing metadata
OK, so if the container engine, well containerizes then what’s the daemonless part mean?
Daemons are continuously running background programs, and Docker runs a daemon to manage container engine duties like launching new containers.
In Podman’s case, this means means it launches new containers and pods by forking and running separate child processes and managing them via systemd (replacement for daemon)
This is nice because it’s one less thing to continuously run on your system and in this case important design decision avoids security vulnerabilities that come from running a rooful daemon.
The Open Container Initiative (origin, June 2015) is an open governance structure for the express purpose of creating open industry standards around container formats and runtimes.
the Runtime Specification (runtime-spec)
the Image Specification (image-spec)
the Distribution Specification (distribution-spec).
OCI compliance is what powers the portability of containers, being able to portable to different platforms and environments
What is Podman? Now we know a bit more about what that means.
Note that obviously you can see I’ve got a Mac today so it’s not just about Linux systems!
Unlike Docker which was delivered as an all-in-one solution
Key to shoutout “friends” of Podman:
Buildah which builds OCI compliant container images.
Isn’t that what podman is supposed to be doing?
A major difference is their concept of a container. Podman allows users to create "traditional containers" where the intent of these containers is to be long lived. While Buildah containers are really just created to allow content to be added back to the container image temporarily. An easy way to think of it is the buildah run command emulates the RUN command in a Dockerfile while the podman run command emulates the docker run command in functionality.
Skopeo which works with remote image registries to retrieve info, images and signing content
https://www.smarthomebeginner.com/podman-vs-docker/
The first time you fire up Podman or really any new to you technology it’s important things go well and that if (not when) you run into issues you know where to go
I say this not because podman is buggy, in fact it sounds like the team has been hard at work fixing the issues I’ve encountered.
But more because it's a great resource. There was some social media post about how worth it is investing in supporting a game to run on Linux because those users ended up finding and flagging 80% of bug reports.
And that culture of if you see something broken either fix it or provide a beautiful bug report makes for a great community!
This shows in the docs, the open issues (not all of them but the qemu VM intermittent issues issue was almost a party). Do your part as an open source citizen
My muscle memory is set for building and running containers via the command line however
I found myself turning to Podman Desktop when things go awry as I get containers and pods up and running. The interface for viewing logs is so much nicer than scrolling through my console and you’re one click away from opening a terminal in the container to run any troubleshooting commands!
Definitely worth checking out even if you’re a power user on the command line.
Also allows you to list, view, and manage containers from multiple supported container engines* in a single unified view.Supported engines and orchestrators include Podman, Docker, Lima, kind, Red Hat OpenShift, Red Hat OpenShift Developer Sandbox
You have 2 options for docker-compose neither of which I love.
Yes if you’ve been running Docker odds are you’ve got some docker-compose YAML lying around
The good news is that you can pass a docker-compose file to Podman to run containers.
But here’s the thing. Podman Compose is a community project, not something steered by Podman maintainers not actively taking in as design direction
not perfect because it implements a subset of the functionality of Docker Compose.
While podman-compose supports the Compose spec, I ran into trouble using it and found I had a much better experience just converting what I had into Pods that’s the happy path with podman.
Depending on how many of the advanced features of docker-compose you’re using I’d also recommend looking at translating them.
But this option is available
A kubernetes native tool for converting our docker compose files (YAML) to container orchestration on k8s.
not perfect because it implements a subset of the functionality of Docker Compose.
While podman-compose supports the Compose spec, I ran into trouble using it and found I had a much better experience just converting what I had into Pods that’s the happy path with podman.
Depending on how many of the advanced features of docker-compose you’re using I’d also recommend looking at translating them.
But this option is available
Being able to create pods incrementally is nice especially as your developing to be able to build it up.
One note is that you do need to expose all the ports you’ll need upfront, otherwise you’ll have to tear down and recreate the pod.
According to the docs this is what objects are supported however I just skimmed a blog post that mentioned generating Services but that it defaulted to NodePorts, basically I try to go with what the docs officially say is supported but that’s just me!
That does hint at the issue here, while working with pods locally is a vast improvement over docker-compose……it’s still not Kubernetes itself
A big disconnect in development workflows with Docker and Kubernetes is often developers would run have docker-compose set ups locally, SRE translates that all into corresponding Kubernetes objects and YAML, possibly further templatizing and wrapping in a Helm chart
And all of a sudden there’s a wall between how Operators run things and how Developers run things.
Kind lets you run local Kubernetes clusters using Podman containers as “nodes”.
Podman’s focus on pods and the integration with Kind address this pain point by bringing them closer together
Another nice thing is there’s direct functionality to push images you build to these clusters
Once you’ve gotten your start
There are meeting agenda notes and meeting recordings if you miss one and want to catch up
There are meeting agenda notes and meeting recordings if you miss one and want to catch up
The most straightforward way to get involved is to use Podman and Podman Desktop and report issues when you notice them, that way maintainers know how severe or widespread a problem is or how important a new feature is
Since, as mentioned, Podman relies on related projects to fulfill container engine duties, it is important to identify which component you’re having trouble with and skim through the currently open issues to see if this has already been identified
https://podman.io/community
I actually need to file an issue because I have seen now a couple times when Podman Desktop UI doesn’t show Pods or containers I’ve launched from the command line
Explore all the adventures you see in this session, hands-on in our choose your own adventure observability workshop collection: https://o11y-workshops.gitlab.io
I cannot recommend this book enough, delving into the deep technical details of implementation but written in an approachable and friendly manner. The best part is the explanations behind design decisions, something that I find lacking in other texts.
How I Podman?
Podman CLI in VSCode
Podman Desktop to double check what’s running and a better interface for looking at logs