Keptn is a framework for automating continuous delivery and operations of Kubernetes applications. It uses a GitOps-based approach with event-driven automation to enable unbreakable delivery pipelines and self-healing deployments. Keptn provides autonomous control plane capabilities including automated testing, deployment, evaluation and operations through reusable services. The demo shows how keptn can onboard a service, deploy new versions through the stages, and enable automated remediation through integration with monitoring and runbook tools.
Moving beyond DevOps with automated cloud-native platformsDirk Wallerstorfer
Containers and orchestration tools enable to care less and less about how we deploy and run applications. If we then use monitoring data not just to visualize system health but analyse data to understand problems and their root cause we can build fully autonomous self-managing platforms. These systems are built around a number of core building blocks like unbreakable pipelines, self-healing systems and real-time application-level feedback in case of problems. The talk will also briefly touch on how we can commoditize application support and management using virtual assistants support ChatOps and VoiceOps. At the end of this talk you will have a lot of input how to move beyond managing system by showing data on glass towards an integrated self-managing platform.
This talk was given at the Online Kubernetes Meetup July 2020 as well as DevOps Fusion 2020. The talk discusses 3 major problems in current delivery and operations: too much time spent in delivery, hard to maintain monolithic delivery pipelines and a lack of auto-remediation of production problems
The talk focuses on new approaches to solve these problems inspired by SRE practices and event-driven architectures.
As an implementation for a new approach we use Keptn (www.keptn.sh) - a CNCF Open Source project.
Continuous Delivery and Automated Operations on k8s with keptnAndreas Grabner
Slidedeck from Vienna DevOps & Security Meetup. This talk is keptn - an open source event driven control plane for continuous delivery and automated operations for kubernetes
Release Readiness Validation with Keptn for Austrian Online Banking SoftwareAndreas Grabner
Marco and Andreas work at Raiffeisen Software who provides banking software for many Austrian financial institutions. In this session they show us how Keptn is used to automate the validation of key SLOs as part of their release process.
Keptn - Automated Operations & Continuous Delivery for k8sAndreas Grabner
Keptn is a new OpenSource Framework for Automated Operations & Continuous Delivery for cloud native applications running on k8s, OpenShift, CloudFoundry ...
This presentation was used at Meetups to explain WHY we build keptn and which problems it solves in which way!
Moving beyond DevOps with automated cloud-native platformsDirk Wallerstorfer
Containers and orchestration tools enable to care less and less about how we deploy and run applications. If we then use monitoring data not just to visualize system health but analyse data to understand problems and their root cause we can build fully autonomous self-managing platforms. These systems are built around a number of core building blocks like unbreakable pipelines, self-healing systems and real-time application-level feedback in case of problems. The talk will also briefly touch on how we can commoditize application support and management using virtual assistants support ChatOps and VoiceOps. At the end of this talk you will have a lot of input how to move beyond managing system by showing data on glass towards an integrated self-managing platform.
This talk was given at the Online Kubernetes Meetup July 2020 as well as DevOps Fusion 2020. The talk discusses 3 major problems in current delivery and operations: too much time spent in delivery, hard to maintain monolithic delivery pipelines and a lack of auto-remediation of production problems
The talk focuses on new approaches to solve these problems inspired by SRE practices and event-driven architectures.
As an implementation for a new approach we use Keptn (www.keptn.sh) - a CNCF Open Source project.
Continuous Delivery and Automated Operations on k8s with keptnAndreas Grabner
Slidedeck from Vienna DevOps & Security Meetup. This talk is keptn - an open source event driven control plane for continuous delivery and automated operations for kubernetes
Release Readiness Validation with Keptn for Austrian Online Banking SoftwareAndreas Grabner
Marco and Andreas work at Raiffeisen Software who provides banking software for many Austrian financial institutions. In this session they show us how Keptn is used to automate the validation of key SLOs as part of their release process.
Keptn - Automated Operations & Continuous Delivery for k8sAndreas Grabner
Keptn is a new OpenSource Framework for Automated Operations & Continuous Delivery for cloud native applications running on k8s, OpenShift, CloudFoundry ...
This presentation was used at Meetups to explain WHY we build keptn and which problems it solves in which way!
Canary Analyze All The Things: How We Learned to Keep Calm and Release OftenC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1ph8Rq1.
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis. Filmed at qconnewyork.com.
Roy Rapoport manages the Insight Engineering group at Netflix, responsible for building Netflix's Operational Insight platforms, including cloud telemetry, alerting, and real-time analytics. He originally joined Netflix as part of its datacenter-based IT/Ops group, and prior to transferring over to Product Engineering, was managing Service Delivery for IT/Ops.
A rough and researchy presentation where I tried out some new material in front of a local audience. Skipped the usual introduction and talked about some of the problems people run into when they do microservices and miss a few things. More refined version of this talk to be shown at O'Reilly Software Architecture Conference in New York in April.
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingAndreas Grabner
AI might be an overused marketing buzzword but the advances in fullstack monitoring and data analytics are clearly an advantage for the modern performance engineer.
In this presentation given at different events, e.g: CMG Image, Neotys PAC, ... I discuss how monitoring has evolved and how we can leverage AI to implement concepts such as Shift-Left, Shift-Right and Self-Healing
This is an overview of Azure Artifacts and how you can add a fully integrated package management to your continuous integration/continuous delivery (CI/CD) pipelines with a single click. Azure Artifacts allows you to share your code effortlessly by creating and sharing Maven, npm, and NuGet package feeds from public and private sources.
Performance Metrics Driven CI/CD - Introduction to Continuous Innovation and ...Mike Villiger
Deck used for my talk at the 2016 Spring User Conference in Toronto. Deck was followed up by a walkthrough of a Jenkins workflow that deployed to Cloud Foundry based on jmeter test results
Learn why VSTS and Azure should be core components of your DevOps strategy. This presentation will be an excellent resource to discover key DevOps practices, for example, CI/CD pipeline automation and environment provisioning.
Modern Operations at Scale within Viasat – How to Structure Teams and Build A...Atlassian
As enterprises continue to transition their technology organizations to operate at higher velocity and break down barriers with DevOps transformations, they need to be able to respond to service disruptions and incidents quickly, and with minimal impact to the productivity of their teams. Learn how ViaSat — a global provider of satellite and wireless communications — securely connects businesses, governments, and military organizations to the Internet using structure, automated toolsets and teams. Join Marty Jackson, Director, Office of the CTO, xMatters and Chris Crocco, ViaSat’s Network Solutions Engineer, to learn how the ViaSat team managed the integration of alerting, issue tracking and change and release management with JIRA Software, JIRA Service Desk, HipChat and xMatters into a complex IT ecosystem and drove the company’s transition from an Operations to a DevOps-centric model of IT incident communications.
Vincent Wong, Product Manager, Atlassian
Jared Sutherland, Product Manager, Intuit
AWS Summit - Trends in Advanced Monitoring for AWS environmentsAndreas Grabner
Why you have to rethink your monitoring strategy when moving or building apps for new stack cloud based environments:
#1: Why "the old way" of monitoring doesnt work any longer!
#2: How the Cloud and New Stack has transformed Dynatrace!
#3: How Dynatrace Redefined Monitoring for Cloud Applications
Here is the small presentation on DevOps to DevSecOps Journey..
- What is DevOps and their best practices.
- Practical Scenario of DevOps practices.
- DevOps transformation Journey.
- Transition to DevSecOps and why we need it.
- Enterprise CI/CD Pipeline.
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
Continuous Deployment Strategies eBook from Snap CI. Written by Ketan Padegaonkar. Learn techniques and terms from Snowflake servers to Blue/Green Deployments.
¿Qué es Azure DevOps? Vamos a ver un ejemplo de ciclo completo de despliegue con Azure DevOps que nos permita, durante el resto de sesiones, integrar los conceptos que veremos en ellas.
En esta sesión os explicaremos que son los Azure Pipelines, YAML, Releases y el ciclo completo de compilación-testing-despliegue de una aplicación mediante estos pipelines
In September of 2016 I presented these slides in Amsterdam at Software Circus. The focus is on how developers and DevOps teams can work with corporate IT to look at developing Kubernetes-as-a-Service in their organization. I also demoed Rancher (http://www.rancher.com/rancher) to show how teams are providing an Enterprise Container Service to allow teams to easily build and deploy Kubernetes, Swarma nd Mesos clusters.
We are in the midst of a revolution. The ways in which software and value is delivered to users and the role that very frequent user feedback plays in the development lifecycle is radically different from legacy models that had software delivered on yearly cycles. The IT processes in place today cannot meet the new demands for weekly or daily releases, so we must change them. But these existing processes are serving a purpose, ensuring the quality, robustness, security and compliance of the software.
Today’s processes are centered on the client-server architectures that have reigned since the 1990s, and as a result the steps in the software development lifecycle (SDLC) predominantly involve performing operations on servers (and storage and networks). Further, IT job functions have been established to execute those processes.
In this talk we look at key existing requirements such as security and compliance, as well as some new ones such as rapid experimentation. We will rethink processes to satisfy these requirements and propose new organizational structures to execute them (spoiler alert, it is not a plan/build/run structure). Finally, we will detail some of the requirements on the IT system architectures that will allow these marked process changes. Session participants will leave with a concrete framework for transforming current IT practices, roles and responsibilities, and a clear understanding of the key technology enablers thereof.
Simplified Patch Management with Puppet - Oct. 2020Puppet
Does your company struggle with patching systems? If so, you’re not alone — most organizations have attempted to solve this issue by cobbling together multiple tools, processes, and different teams, which can make an already complicated issue worse.
Puppet helps keep hosts healthy, secure and compliant by replacing time-consuming and error prone patching processes with Puppet’s automated patching solution.
Join this webinar to learn how to do the following with Puppet:
Eliminate manual patching processes with pre-built patching automation for Windows and Linux systems.
Gain visibility into patching status across your estate regardless of OS with new patching solution from the PE console.
Ensure your systems are compliant and patched in a healthy state
How Puppet Enterprise makes patch management easy across your Windows and Linux operating systems.
Presented by: Margaret Lee, Product Manager, Puppet, and Ajay Sridhar, Sr. Sales Engineer, Puppet.
The ultimate container monitoring bake-off - Rancher Online Meetup October 2016Shannon Williams
In our October online meetup we asked three of our engineers to demonstrate their favorite monitoring tools for containers, and demonstrate how to deploy and utilize them. They provided an in-depth overview of Sysdig, Datadog and Prometheus and try to help you determine which tool is best for your workload, and demonstrated:
- Deploying container monitoring tools from the Rancher catalog.
- Key differences between container and server monitoring.
- How Sysdig, Datadog and Prometheus compare with one another.
Please register for the next Rancher online meetup: http://rancher.com/meetup
Continuous Delivery: How RightScale Releases WeeklyRightScale
Continuous delivery may be a natural for greenfield workloads, but how do you take an existing seven-year-old SaaS application and move from multi-month to weekly release cycles? Find out how our team — developers, QA, and ops — worked together to change our process and along the way changed their own ideas of what was possible.
Canary Analyze All The Things: How We Learned to Keep Calm and Release OftenC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1ph8Rq1.
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis. Filmed at qconnewyork.com.
Roy Rapoport manages the Insight Engineering group at Netflix, responsible for building Netflix's Operational Insight platforms, including cloud telemetry, alerting, and real-time analytics. He originally joined Netflix as part of its datacenter-based IT/Ops group, and prior to transferring over to Product Engineering, was managing Service Delivery for IT/Ops.
A rough and researchy presentation where I tried out some new material in front of a local audience. Skipped the usual introduction and talked about some of the problems people run into when they do microservices and miss a few things. More refined version of this talk to be shown at O'Reilly Software Architecture Conference in New York in April.
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingAndreas Grabner
AI might be an overused marketing buzzword but the advances in fullstack monitoring and data analytics are clearly an advantage for the modern performance engineer.
In this presentation given at different events, e.g: CMG Image, Neotys PAC, ... I discuss how monitoring has evolved and how we can leverage AI to implement concepts such as Shift-Left, Shift-Right and Self-Healing
This is an overview of Azure Artifacts and how you can add a fully integrated package management to your continuous integration/continuous delivery (CI/CD) pipelines with a single click. Azure Artifacts allows you to share your code effortlessly by creating and sharing Maven, npm, and NuGet package feeds from public and private sources.
Performance Metrics Driven CI/CD - Introduction to Continuous Innovation and ...Mike Villiger
Deck used for my talk at the 2016 Spring User Conference in Toronto. Deck was followed up by a walkthrough of a Jenkins workflow that deployed to Cloud Foundry based on jmeter test results
Learn why VSTS and Azure should be core components of your DevOps strategy. This presentation will be an excellent resource to discover key DevOps practices, for example, CI/CD pipeline automation and environment provisioning.
Modern Operations at Scale within Viasat – How to Structure Teams and Build A...Atlassian
As enterprises continue to transition their technology organizations to operate at higher velocity and break down barriers with DevOps transformations, they need to be able to respond to service disruptions and incidents quickly, and with minimal impact to the productivity of their teams. Learn how ViaSat — a global provider of satellite and wireless communications — securely connects businesses, governments, and military organizations to the Internet using structure, automated toolsets and teams. Join Marty Jackson, Director, Office of the CTO, xMatters and Chris Crocco, ViaSat’s Network Solutions Engineer, to learn how the ViaSat team managed the integration of alerting, issue tracking and change and release management with JIRA Software, JIRA Service Desk, HipChat and xMatters into a complex IT ecosystem and drove the company’s transition from an Operations to a DevOps-centric model of IT incident communications.
Vincent Wong, Product Manager, Atlassian
Jared Sutherland, Product Manager, Intuit
AWS Summit - Trends in Advanced Monitoring for AWS environmentsAndreas Grabner
Why you have to rethink your monitoring strategy when moving or building apps for new stack cloud based environments:
#1: Why "the old way" of monitoring doesnt work any longer!
#2: How the Cloud and New Stack has transformed Dynatrace!
#3: How Dynatrace Redefined Monitoring for Cloud Applications
Here is the small presentation on DevOps to DevSecOps Journey..
- What is DevOps and their best practices.
- Practical Scenario of DevOps practices.
- DevOps transformation Journey.
- Transition to DevSecOps and why we need it.
- Enterprise CI/CD Pipeline.
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
Continuous Deployment Strategies eBook from Snap CI. Written by Ketan Padegaonkar. Learn techniques and terms from Snowflake servers to Blue/Green Deployments.
¿Qué es Azure DevOps? Vamos a ver un ejemplo de ciclo completo de despliegue con Azure DevOps que nos permita, durante el resto de sesiones, integrar los conceptos que veremos en ellas.
En esta sesión os explicaremos que son los Azure Pipelines, YAML, Releases y el ciclo completo de compilación-testing-despliegue de una aplicación mediante estos pipelines
In September of 2016 I presented these slides in Amsterdam at Software Circus. The focus is on how developers and DevOps teams can work with corporate IT to look at developing Kubernetes-as-a-Service in their organization. I also demoed Rancher (http://www.rancher.com/rancher) to show how teams are providing an Enterprise Container Service to allow teams to easily build and deploy Kubernetes, Swarma nd Mesos clusters.
We are in the midst of a revolution. The ways in which software and value is delivered to users and the role that very frequent user feedback plays in the development lifecycle is radically different from legacy models that had software delivered on yearly cycles. The IT processes in place today cannot meet the new demands for weekly or daily releases, so we must change them. But these existing processes are serving a purpose, ensuring the quality, robustness, security and compliance of the software.
Today’s processes are centered on the client-server architectures that have reigned since the 1990s, and as a result the steps in the software development lifecycle (SDLC) predominantly involve performing operations on servers (and storage and networks). Further, IT job functions have been established to execute those processes.
In this talk we look at key existing requirements such as security and compliance, as well as some new ones such as rapid experimentation. We will rethink processes to satisfy these requirements and propose new organizational structures to execute them (spoiler alert, it is not a plan/build/run structure). Finally, we will detail some of the requirements on the IT system architectures that will allow these marked process changes. Session participants will leave with a concrete framework for transforming current IT practices, roles and responsibilities, and a clear understanding of the key technology enablers thereof.
Simplified Patch Management with Puppet - Oct. 2020Puppet
Does your company struggle with patching systems? If so, you’re not alone — most organizations have attempted to solve this issue by cobbling together multiple tools, processes, and different teams, which can make an already complicated issue worse.
Puppet helps keep hosts healthy, secure and compliant by replacing time-consuming and error prone patching processes with Puppet’s automated patching solution.
Join this webinar to learn how to do the following with Puppet:
Eliminate manual patching processes with pre-built patching automation for Windows and Linux systems.
Gain visibility into patching status across your estate regardless of OS with new patching solution from the PE console.
Ensure your systems are compliant and patched in a healthy state
How Puppet Enterprise makes patch management easy across your Windows and Linux operating systems.
Presented by: Margaret Lee, Product Manager, Puppet, and Ajay Sridhar, Sr. Sales Engineer, Puppet.
The ultimate container monitoring bake-off - Rancher Online Meetup October 2016Shannon Williams
In our October online meetup we asked three of our engineers to demonstrate their favorite monitoring tools for containers, and demonstrate how to deploy and utilize them. They provided an in-depth overview of Sysdig, Datadog and Prometheus and try to help you determine which tool is best for your workload, and demonstrated:
- Deploying container monitoring tools from the Rancher catalog.
- Key differences between container and server monitoring.
- How Sysdig, Datadog and Prometheus compare with one another.
Please register for the next Rancher online meetup: http://rancher.com/meetup
Continuous Delivery: How RightScale Releases WeeklyRightScale
Continuous delivery may be a natural for greenfield workloads, but how do you take an existing seven-year-old SaaS application and move from multi-month to weekly release cycles? Find out how our team — developers, QA, and ops — worked together to change our process and along the way changed their own ideas of what was possible.
DevOps Days Boston 2017: Developer first workflows for KubernetesAmbassador Labs
Kubernetes is a powerful, operational platform for containerized applications. However, the developer workflow on Kubernetes – how you code, deploy, update, and monitor your services – is much less mature.
How should you lay out your Git repo? How do you create loosely coupled services? How do you support deploying your service at any time?
In this talk, we’ll talk about these questions and more. We’ll discuss the journey towards a rapid development workflow, discuss best practices, and, talk about the process we followed to get to a rapid development workflow.
DevOps Days Boston 2017
Intro to Puppet Enterprise for a Windows Environment - 08.23Puppet
If you're new to Puppet Enterprise, this is the on-demand webinar for you. You'll learn how Puppet helps lay the foundation for your DevOps practices, treat infrastructure as code, and achieve better collaboration between dev, ops, InfoSec, and networking.
You'll see why thousands of companies rely on Puppet to automate the delivery and operation of their software and see it in action with a live demo.
In this recording we will show you the following in a Windows environment:
- Installation of an agent
- Managing resources (packages, files, services, etc.)
- Granular visibility through reporting
- Managing change for more efficient workflows
In the French FedEx company we used Prometheus to monitor the infrastructure. It hosts a CQRS Architecture composed with Kafka, Spark, Cassandra, ElasticSearch, and microservices APIs in scala.
This presentation is about using Prometheus in production, you will see why we choosed Prometheus, how we integrated it, configured it and what kind of insights we extracted from the whole infrastructure.
In addition, you will see how Prometheus changed our way of working, how we implemented self-healing based on Prometheus, how we configured systemd to trigger AlertManager API, integration with slack and other cool stuffs.
VMworld 2013: Moving Enterprise Application Dev/Test to VMware’s Internal Pri...VMworld
VMworld Europe 2013
Thirumalesh Reddy, Vmware
Venkat Gopalakrishnan, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps DeploymentsAndreas Grabner
This talk was given at Boston Cloud Native Meetup on Feb 9th 2023
DORA’s Four Key DevOps have gained much attention as they provide critical insights into an organization’s maturity in automating the delivery of high-quality software. Google provides a blueprint implementation which requires extending your existing delivery pipelines (Jenkins, Argo, Flux, GitHub, GitLab …) to push those metrics to an external database. While doable, many platform engineers we spoke to are seeking an alternative solution and more cloud-native approach.
The CNCF project Keptn saw this as an opportunity to provide a K8s- & Cloud-Native solution that provides 100% coverage, WITHOUT changing pipelines and using OpenTelemetry as standard collection framework.
Join this talk where Andi (Andreas) Grabner, DevRel at Keptn, will show you how you can use Keptn’s Lifecyle Toolkit to get your DORA metrics within 5 minutes. Andi also covers how the Lifecycle Toolkit brings application-awareness into your deployments and allows you to execute pre- and post-deployment checks as serverless functions – all declaratively as part of your existing K8s CRDs.
Speaker Ioannis Gkourtzounis from Comquent MEPE in Thessaloniki.
A short description of the presentation:
The CI/CD processes play an essential role to the quality of the product that is delivered at the end of every release cycle. Not only many people are involved, but different technologies and tools should be chosen wisely in order for the CI/CD to offer high value while the software goes through the build, test and deploy phases. But the strategy used by the team to implement the automation of those tools, depends heavily on the underlying infrastructure and architecture of the software under test. Most companies used to develop monolithic applications and just in the last decades an era of cloud computing and highly available microservices, started to gain momentum. Container technology and Kubernetes made possible the rapid deployment and scaling of such applications. What does this mean for our CI/CD strategies? In this presentation we will take a look at some common problems when trying to automate CI and CD on the traditional infrastructure and see how we can tackle them using a Cloud Native approach. We will learn how Kubernetes works, what are the benefits of GitOps and how to use Jenkins X to easily build, deploy and promote to production.
Rob Davies presentation during Red Hat's "Microservices Journey with Apache Camel" that took place in Atlanta on 10/04/16 and in Minneapolis on 10/06/16.
DevOps at Tradeshift - AWS community day nordicsJesperTerkelsen1
Jesper Terkelsen presenting what happened regarding infrastructure, developer productivity, security, site reliability engineering, and scale - in the last 4 years in tradeshift.
Operating a High Velocity Large Organization with Spring Cloud MicroservicesNoriaki Tatsumi
Noriaki Tatsumi prepares you to build a microservices architecture that's not only reliable, resilient, and scalable but also addresses the challenges large organizations typically face. He dives into the technical details on how Spring Cloud empowers developers to build the patterns and components of microservices foundation quickly.
A list of action items you want to keep in mind when you're devsecops'ing for your cloudnative environments. Given as a part of a talk on the Modern Security series (
https://info.signalsciences.com/securing-cloud-native-ten-tips-better-container-security).
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Nick Brandaleone - Solutions Architect, AWS
VMworld 2013: Moving Enterprise Application Dev/Test to VMware’s Internal Pri...VMworld
VMworld 2013
Thirumalesh Reddy, VMware
Padmaja Vrudhula, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Similar to Building Autonomous Operations for Kubernetes with keptn (20)
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
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2. 2Confidential
Agenda
• Why we have to build keptn
• The problems companies are currently facing
• What keptn is and how it works
• Demo – Onboarding a Service (throughout the talk)
• Demo – Runbook Automation & Self-healing
5. Confidential 5
Collecting more evidence: https://dynatrace.ai/acsurvey
< 1 day < 1 week 1 to 2 weeks 2 to 3 weeks 3 to 4 weeks > 4 weeks
Small (11-100 employees) Medium (101-1000 employees)
Large (1001-5000 employees) Extra large (over 5000 employees)
3%
20%
35%
42%
2 days 12.5 days
95th Percentile Median
Commit Cycle Time: From Dev to Pro
Goal: 1h to Production
1 hour
9. Confidential 9
What we have seen organizations actually do
• Building Custom Integrations with OpenSource & Commercial tools for
• Deployment Pipelines
• Testing Pipelines
• Auto-Remediation
• Notifications
• Auditing
10. Confidential 10
What we have seen organizations struggle with
Quote: „Pipelines seem to become our new future unmanagable legacy code!“
• Teams stick with existing tools to protect investement
• Containing lots of custom code for tool integration, error handling, logging, ...
• Getting harder to maintain the more tools get integrated
• Pipelines becoming more complex requiring dedicated teams
• Uncoordinated deployments between pipelines resulting in unstable environments
11. Confidential 11
What is and how it works
Enterprise-grade framework for shipping and running cloud native apps
12. Confidential 12
from 10000ft
GitOps-based collaboration
Operator patterns for all logic components
Monitoring and operations as code
Built on and for Kubernetes
Event-driven and serverless
Pluggable tooling
Automated multistage unbreakable delivery pipelines
Self-healing blue/green deployments
Event-driven runbook automation
Design Principles
Core capabilities
13. Confidential 13
keptn – Conceptual Architecture
Autonomous Cloud Control Plane
GitOps
Container
Registry
Continuous
Delivery AIOps
Operations
Automation
Test
Automation
Environment Definition (shipyard file)
ChatOps
Dev Namespace Staging Namespace Production Namespace
CoreServicesPlatform
Data
Provider
14. Confidential 14
Autonomous Cloud Control Plane
event-
broker
authenticator
controlcli
keptn-channel
event-
broker-ext
configuration
deployment
evaluation
test
problem
new-artefact
Services
jenkins-
service
github-
service
service
now-
service
keptn: Phase 3 – Pushing an artifact and deploy to dev
24. Confidential 24
Use case in a nutshell
• Create project sockshop
• Onboard carts service and carts database
• Build a new artefact for the carts service and watch keptn doing the deployment
stages:
- name: "dev"
deployment_strategy: "direct"
test_strategy: "functional"
- name: "staging"
deployment_strategy: "blue_green_service"
test_strategy: "performance"
- name: "production"
deployment_strategy: "blue_green_service“
27. Confidential 27
Use case in a nutshell
• Dynatrace for Monitoring & ServiceNow for Runbook Automation
• Both tools a properly configured meaning that Dynatrace can send problem notifications and ServiceNow
can trigger runbooks
• Load generation to simulate production traffic
• Configuration change at runtime
• Problem detection by Dynatrace
• Incident creation & Workflow execution by ServiceNow
29. Confidential 29
You want to try out keptn?
• Setup keptn: https://keptn.sh/docs/0.2.0/installation/setup-keptn/
• Instructions to install keptn on a GKE cluster
• Instructions to install keptn on a AWS EKS cluster (coming soon)
•
•
•
•
•
30. Confidential 30
Contribute to the keptn project with your custom service
1. Identify the channel you want to subscribe to:
2. Write your knative service
• A reference service in TypeScript is provided on:
https://github.com/keptn/keptn-service-template
• Use the payload of the CloudEvents to implement the
functionality you want
3. Provide a service description and the channel
subscriptions in a manifest file
4. Deploy your service in the keptn namespace
•
•
•
•
•
•
jenkins-
service
github-
service
custom-
service
slack-
service
spinnake
r-service
neotys-
service
31. Confidential 31
Want to learn more?
• Learn how to use keptn: https://keptn.sh/docs/
• Clone, fork, star, contribute to keptn: https://github.com/keptn/
• Develop your own keptn-services: https://github.com/keptn/keptn-service-template
• Join our community (slack invite, meetings): https://github.com/keptn/community
• Follow us @keptnproject
• Fill out our survey: https://dynatrace.ai/acsurvey
34. Confidential 34
Autonomous Cloud Control Plane
event-
broker
authenticator
controlcli
keptn-channel
event-
broker-ext
deployment
evaluation
test
problem
Services
jenkins-
service
github-
service
service
now-
service
cli
configuration
new-artefact
keptn: Phase 1 – Creating a Project
35. Confidential 35
Autonomous Cloud Control Plane
event-
broker
authenticator
controlcli
keptn-channel
event-
broker-ext
deployment
evaluation
test
problem
Services
jenkins-
service
github-
service
service
now-
service
cli
configuration
new-artefact
keptn: Phase 2 – Onboarding a Service
36. Confidential 36
Autonomous Cloud Control Plane
event-
broker
authenticator
controlcli
keptn-channel
event-
broker-ext
configuration
deployment
evaluation
test
problem
new-artefact
Services
jenkins-
service
github-
service
service
now-
service
keptn: Phase 3 – Pushing an artifact and deploy to dev