DevOpsDays Chicago 2014 - How Much Is That DevOps In The Window?
Chicago, IL
2014-10-07 to 2014-10-08
Two critiques I’ve heard from first-time DevOpsDays attendees are that they felt like they were on the outside looking in and they didn’t take away anything actionable. I posit that these are two aspects of the same problem we’ve created and can solve.
What exactly do unicorns, horses, and goats have to do with corporate IT and software development, asks a newcomer? We want to reach outside the echo chamber, so we need to make the jargon and references of this community more accessible. We talk about empathy as the essence of DevOps; we need to ensure we practice inclusion. Whether it’s providing more context for common references or giving clear speaker bios and introductions, we need to ensure our community mindfully welcomes new participants.
Being new to the space can mean looking for rubrics and implementable strategies. It’s not wrong to want a list of action items, but acting without reflection isn’t enough. We need to make it clear that the “how” stems directly from the “why” and the “what”.
And just because DevOps is for everyone doesn’t mean that DevOps encompasses anything and everything. There’s no RFC for DevOps, but it does go beyond culture to automation, measurement, and sharing. There are many great tools in that space, and large organizations might implement them differently from small ones. Commerce in this space is welcome and expected, but the practice of DevOps itself is not a commodity.
Forget hipster DevOps versus enterprise DevOps. The DevOps in the window is just DevOps, and it’s not for sale.
DevOpsDays Chicago 2014 - How Much Is That DevOps In The Window?
Chicago, IL
2014-10-07 to 2014-10-08
Two critiques I’ve heard from first-time DevOpsDays attendees are that they felt like they were on the outside looking in and they didn’t take away anything actionable. I posit that these are two aspects of the same problem we’ve created and can solve.
What exactly do unicorns, horses, and goats have to do with corporate IT and software development, asks a newcomer? We want to reach outside the echo chamber, so we need to make the jargon and references of this community more accessible. We talk about empathy as the essence of DevOps; we need to ensure we practice inclusion. Whether it’s providing more context for common references or giving clear speaker bios and introductions, we need to ensure our community mindfully welcomes new participants.
Being new to the space can mean looking for rubrics and implementable strategies. It’s not wrong to want a list of action items, but acting without reflection isn’t enough. We need to make it clear that the “how” stems directly from the “why” and the “what”.
And just because DevOps is for everyone doesn’t mean that DevOps encompasses anything and everything. There’s no RFC for DevOps, but it does go beyond culture to automation, measurement, and sharing. There are many great tools in that space, and large organizations might implement them differently from small ones. Commerce in this space is welcome and expected, but the practice of DevOps itself is not a commodity.
Forget hipster DevOps versus enterprise DevOps. The DevOps in the window is just DevOps, and it’s not for sale.
Here There Be Turtles: Platform Ops in Public Cloudbridgetkromhout
When I joined a startup already in progress as their first ops hire, I got a crash course in cloud operations. Running databases in EC2 without being on bare metal presents its own challenges; we also began using Hadoop and HBase on EMR, with tragicomic results. What monitoring existed was a twisty maze of half-measures, so improving our Mean Time To Lost Sleep required trying new tools and alerting strategies. And scaling performance meant relying on best practices and gut-feeling hunches. This talk will have appeal for those curious about AWS, about using MapReduce in the cloud, and about whether MongoDB is really “web scale”. (Spoiler alert: lolol.) Come for the EC2 trivia; stay for the table-flipping.
Turtles All the Way Down: Platform Ops in Public Cloudbridgetkromhout
When I joined a startup already in progress as their first ops hire, I got a crash course in cloud operations. Running databases in EC2 without being on bare metal presents its own challenges; we also began using Hadoop and HBase on EMR, with tragicomic results. What monitoring existed was a twisty maze of half-measures, so improving our Mean Time To Lost Sleep required trying new tools and alerting strategies. And scaling performance meant relying on best practices and gut-feeling hunches.
This talk will have appeal for those curious about AWS, about using MapReduce in the cloud, and about whether MongoDB is really "web scale". (Spoiler alert: lolol.) Come for the EC2 trivia; stay for the table-flipping.
Notes and image credits: http://bridgetkromhout.com/speaking/2014/beyondthecode/notes/
Similar to The Cloud Native Platform for Operations (20)
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
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
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
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.
4. @bridgetkromhout
“In the last week there were
67 deploys
of 496 changes
by 18 people”
Image credit: visual_dichotomy on Flickr
5. @bridgetkromhout
quoted in “10+ Deploys Per Day:
Dev and Ops Cooperation at Flickr” at Velocity 2009
John Allspaw & Paul Hammond
“In the last week there were
67 deploys
of 496 changes
by 18 people”
Flickr Dev Blog, December 17th 2008
Image credit: visual_dichotomy on Flickr
8. @bridgetkromhout
Environments: how long to spin up a
new one or copy an existing one?
Deploys: how often? how long do they
take? How often do they go wrong?
Why don’t we all move that fast today?
9. @bridgetkromhout
Failure: what does recovery look like?
Environments: how long to spin up a
new one or copy an existing one?
Deploys: how often? how long do they
take? How often do they go wrong?
Why don’t we all move that fast today?
35. @bridgetkromhout
Large-scale cluster management
at Google with Borg - Verma et al. 2015
“Almost every task run
under Borg contains a
built-in HTTP server
that publishes
information about the
health of the task and
thousands of performance
metrics”
43. @bridgetkromhout Image credit: Wikipedia
“Any organization that designs a system…
will produce a design
whose structure is a copy of
the organization's
communication
structure.”
Mel Conway