Power Up with Podman
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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!
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Avoiding Alert Bankruptcy and Burnout
The signal to noise ratio can be frustratingly high for on-call alerts and downright mystifying when joining a new company or rotation. If you treat PagerDuty like the boy who cried wolf you’ve certainly mired in monitoring debt. Monitoring debit is tragically common and with investment mitigatable! Just how much of a risk are false positives? The data shows that a high number of false alerts trains workers to assume most alerts will be false. Repetition of the same alerts causes even greater alert fatigue. For clinicians the likelihood of acknowledging an alert dropped 30% for each reminder. Paige will share the nuts and bolts of how to start auditing your own alerts to begin your journey towards an on-call oasis.
Tracing Adventures from PR - Production
Many things can go awry on the journey from pull request (PR) open to merge to production deployment. Issues can arise from the application code, layers of YAML configuration, underlying infrastructure or pipeline logic itself. How can distributed tracing and trace-derived metrics bring developers and operators together for troubleshooting paradise? I’ll unpack a deploy gone bad from both vantage points, gaining an empathy for the engineer who needs to deploy their changes and an ops engineer who is responsible for keeping the system up and running. With signals from OpenTelemetry I will show how increasing the observability of your deploy system can facilitate better collaboration and quicker troubleshooting.
Threat Modeling in the Cloud
Threat modeling is a key part of securing your cloud computing environment and is unique to each organization's people, practices and processes. Without a threat model you could end up going on wild goose chases and miss the forest for the trees. This talk will introduce the concept of threat modeling including how to get started, guiding questions and recap findings from the Argo Project Threat Model from 2021. Learn how and why to start threat modeling today!
There's No Place Like Production
There’s a reason “i test in prod” isn’t a cheeky take but a lived reality. And that reason is there is no place like production. Not local dev or staging or other environment. This became clear when I deployed a tiny config change that passed all checks, reviews and pre-production environments that triggered a SEV-1.
Examining each step of the journey from PR to production I uncovered the snafu that had occurred (unsurprisingly it relates to overwriting key blocks on nested YAML files).
I’ll share how difficult it was to reconstruct the chain of events in the system compared to the ideal case of a highly observable system and how to share your own incident learnings since we all test in prod!
Taming Feral DevOps
The misunderstanding that devops is a tool or team or role has tragically increased the gulf between developers and operators.If you have been unofficially on-call 24/7, toiled away in turmoil, managed initiatives across multiple silos sans project manager with a directive to “influence without authority”...surprise you have lived the contradiction that is feral devops!
Consequences of letting this fester are: burn out, learned helplessness and missing out on the speed that happens when developers and operators communicate openly. Taming feral devops is a journey you can start by gathering feedback on the status quo, iterating on onboarding and training and holistically examining on-call health.Whether you’re an individual contributor, manager or leader you will find ideas to experiment with to “domesticate” devops in your organization
SRECon23 Cognitive Apprenticeship in Action_ Alert Triage Hour of Power
Cognitive apprenticeship is the philosophy that it is more effective to learn in context and real-world situations compared to following a tutorial in a sandboxed environment. In a nutshell it is “learning-through-guided-experience” and shines when teaching problem-solving processes experts use to handle complex tasks like say…investigating an alert by spelunking in production observability and monitoring data. Learn how Alert Triage Hour of Power became a can’t miss meeting of camaraderie and system surprises!
Pushing Observability Uphill - The Single “Pain” of Glass
For years tech companies have chased the fabled “single pane of glass” , the one observability tool to understand your system from north to south and east to west. Leafing through promo materials promising instant insights and seamless turnkey integrations you’d think increasing system observability is as easy as assembling a Lego set.
In my experience chasing the “single pane of glass” translates to “pain in the ass”. Survey data supports this revealing the majority of engineers cite tool sprawl as a minor or non-existent problem despite relying on several tools. As alluring as the siren call of “single pane of glass” is, let's be practical and examine how to best observe systems across a myriad of tooling.
From the telemetry buffet of metrics, events, traces and logs learn when to reach for which type and ways to bridge the gaps with links and enhance with context to free yourself from the fool’s errand of a “single pane of glass”.
Intro to Instrumentation
This document provides an introduction and overview of instrumentation using OpenTelemetry. It begins with defining key concepts of observability and distributed tracing. It then discusses OpenTelemetry's SDKs, exporters and collectors for instrumenting code and exporting telemetry data. The document demonstrates both automatic and manual instrumentation techniques in OpenTelemetry and shows how to visualize trace data in Jaeger. It concludes by mentioning OpenTelemetry community resources for further learning.
From Cardinal(ity) Sins to Cost-Efficient Metrics Aggregation
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. How can you make decisions about what to collect, what to drop, what to aggregate while still being able to alert, triage, remediate?
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.
99.9% of Your Traces are Trash
Distributed tracing is still finding its footing in many organizations today, one challenge to overcome is the data volume - keeping 100% of your traces is expensive and unnecessary. Enter sampling - head vs tail how do you decide? Let’s review the tradeoffs associated with different types of sampling strategies and how they can be mixed and matched.
3rd Wave Observability: Open or Bust
This document discusses the evolution of observability from network/device monitoring (Wave 1) to application performance monitoring (Wave 2) to the current focus on observability (Wave 3). It notes that observability moves past proprietary data formats and interdependence of early solutions by enabling instrumentation once and observation anywhere. The document advocates for teams to own end-to-end observability of their services and dependencies, and notes that observability data can help teams understand where to invest engineering time to most directly impact customers and business goals.
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
99.99% of Your Traces Are (Probably) Trash (SRECon NA 2024).pdf
99.99% of Your Traces Are (Probably) Trash (SRECon NA 2024).pdf
OTel Orientation: How to Train Teams (OTel in Practice)
OTel Orientation: How to Train Teams (OTel in Practice)
SRECon23 Cognitive Apprenticeship in Action_ Alert Triage Hour of Power
SRECon23 Cognitive Apprenticeship in Action_ Alert Triage Hour of Power
Pushing Observability Uphill - The Single “Pain” of Glass
Pushing Observability Uphill - The Single “Pain” of Glass
From Cardinal(ity) Sins to Cost-Efficient Metrics Aggregation
From Cardinal(ity) Sins to Cost-Efficient Metrics Aggregation
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Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
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Taking AI to the Next Level in Manufacturing.pdf
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The Microsoft 365 Migration Tutorial For Beginner.pptx
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GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
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Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
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AppSec PNW: Android and iOS Application Security with MobSF
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Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
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Mutation Testing for Task-Oriented Chatbots
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To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
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Power Up with Podman
- 2. 2 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!
- 5. 5
- 6. “ A daemonless container engine for developing, managing, and running OCI Containers on your Linux System 6
- 7. TIMELINE 7 2023 2022 2021 2020 2019 2018 First release of Podman v.0.3.5 (Apr 5) Podman v1.0.0 released Podman blog announced Podman 4.5 released dockershim removed in K8s 1.24 Podman-desk top released v1.0,0
- 8. 8
- 10. DAEMONLESS 10
- 11. Open Container Initiative (OCI) 11
- 12. “ A daemonless container engine for developing, managing, and running OCI Containers on your Linux System 12
- 13. 13
- 15. 15
- 16. Security 16
- 17. root 17
- 18. 18
- 19. rootless 19
- 20. Familiar(ish) 20
- 21. Pods! 21
- 24. 24
- 25. Import saved containers! 1. docker export $yourContainer > $yourContainer.tar 2. podman import $yourContainer.tar 25
- 26. Docker-compose & podman ?! 1. Verify DOCKER_HOST variable points to podman socket 2. docker-compose up 3. docker-compose down 26
- 28. Create Pods incrementally ● podman pod create --name $POD-NAME ● podman run -d --pod $POD-NAME $IMAGE_1 ● podman run -d --pod $POD-NAME $IMAGE_2 ● podman generate kube $POD-NAME > $POD-NAME.yaml 28
- 29. Run Pods without Kubernetes podman play kube $pod.yaml 29
- 30. Run Pods with Kubernetes 30
- 32. Podman Community Meeting 32 1st Tuesday of even numbered months @ 11 AM US ET Meeting for demos for or for announcements or general discussions about Podman or other related container technologies. Next one: August 1st
- 33. Podman Community Cabal 33 Monthly on the 3rd Thursday @ 11 AM US ET Meeting for planning and discussion of possible future changes to Podman or related container technologies. Next one: this Thursday, July 20th
- 34. “ No contribution is too small—from a spelling mistake in a man page up to a full-blown feature. 34
- 35. Report Issues 35
- 36. Communicate 36 ○ IRC - https://web.libera.chat/#podman-desktop ○ Matrix - https://matrix.to/#/#podman:fedoraproject.org ○ Discord - https://discord.gg/vwpj7K6gW5 ○ Slack - https://slack.k8s.io/ #podman-desktop ○ Email - podman-join@lists.podman.io
- 37. Contribute 37
- 38. “ 38
- 39. THANKS! You can find me at @paigerduty@hachyderm.io 39 Special thanks to these resources: ○ Presentation template by SlidesCarnival ○ Photographs from Pixabay
- 40. CREDITS Special thanks to these resources: ○ Presentation template by SlidesCarnival ○ Photographs from Pixabay 40