Edgar and I had the pleasure of presenting at the DCPython meetup last night about how PBS uses Python, Django, Celery, Solr and Amazon Web Services (autoscaling EC2, RDS) to power many of our sites and services. We focused primarily on the COVE (video) and Merlin (content) APIs since those probably have the most interesting architectures.
We had a blast and received many smart questions from the crowd about Solr, Amazon Web Services, Celery and the recent Tupac incident in about that order. Thanks for having us DCPython!
Check out DCPython at http://dcpython.org or follow @DCPython.
(CMP406) Amazon ECS at Coursera: A general-purpose microserviceAmazon Web Services
"Coursera has helped millions of students learn computer science through MOOCs ranging from Introduction to Python, to state-of-the-art Functional-Reactive Programming in Scala. Our interactive educational experience relies upon an automated grading platform for programming assignments. But, because anyone can sign up for a course on Coursera for free, our systems must defend against arbitrary code execution.
Come learn how Coursera uses AWS services such as Amazon EC2 Container Service (ECS), and Amazon Virtual Private Cloud (VPC) to power a defense-in-depth strategy to secure our infrastructure against bad actors. We have modified the Amazon ECS Agent to support security layers including kernel privilege de-escalation, and enabling mandatory access control systems. Additionally, we post-process uploaded grading container images to defang binaries.
At the core of automated grading is a general-purpose near-line & batch scheduling and execution microservice built on top of the Amazon ECS APIs. We use this flexible system to power a variety of internal services across the company including data exports for instructors, course announcement emails, data reconciliation jobs, and more.
In this session, we detail aspects of our success from implementing Docker and Amazon ECS in production, providing ideas for your own scheduling, execution and hardening requirements."
(CMP406) Amazon ECS at Coursera: A general-purpose microserviceAmazon Web Services
"Coursera has helped millions of students learn computer science through MOOCs ranging from Introduction to Python, to state-of-the-art Functional-Reactive Programming in Scala. Our interactive educational experience relies upon an automated grading platform for programming assignments. But, because anyone can sign up for a course on Coursera for free, our systems must defend against arbitrary code execution.
Come learn how Coursera uses AWS services such as Amazon EC2 Container Service (ECS), and Amazon Virtual Private Cloud (VPC) to power a defense-in-depth strategy to secure our infrastructure against bad actors. We have modified the Amazon ECS Agent to support security layers including kernel privilege de-escalation, and enabling mandatory access control systems. Additionally, we post-process uploaded grading container images to defang binaries.
At the core of automated grading is a general-purpose near-line & batch scheduling and execution microservice built on top of the Amazon ECS APIs. We use this flexible system to power a variety of internal services across the company including data exports for instructors, course announcement emails, data reconciliation jobs, and more.
In this session, we detail aspects of our success from implementing Docker and Amazon ECS in production, providing ideas for your own scheduling, execution and hardening requirements."
Local Testing and Deployment Best Practices for Serverless Applications - AWS...Amazon Web Services
-Learn best practices for testing, debugging, and deploying serverless applications
-Understand how to use the AWS Serverless Application Model (AWS SAM) to model and deploy serverless applications
-Learn to use the AWS SAM Local CLI tool to locally test Lambda functions
(DVO305) Turbocharge YContinuous Deployment Pipeline with ContainersAmazon Web Services
It worked on my machine! How many times have you heard (or even said) this sentence? Keeping consistent environments across your development, test, and production systems can be a complex task. Enter containers! Containers offer a way to develop and test your application in the same environment in which it runs in production. Developers can use tools such as Docker Compose for local testing of complex applications; Jenkins and AWS CodePipeline for building and orchestration; and Amazon ECS to manage and scale their containers. Come to this session to learn how to build containers into your continuous deployment workflow, accelerating the testing and building phases and leading to more frequent software releases. Attendees will learn to use Docker containers to develop their applications and test locally with Docker Compose (or Amazon ECS local), integrate containers in building, deploy complex applications on Amazon ECS, and orchestrate continuous development workflows with CodePipeline.
(DVO308) Docker & ECS in Production: How We Migrated Our Infrastructure from ...Amazon Web Services
This session will introduce you to Empire, a new self-hosted PaaS built on top of Amazon’s EC2 Container Service (ECS). Empire is a recently open-sourced project that provides a mostly Heroku-compatible API. It allows engineering teams to deploy and manage applications in a method similar to Heroku, but with the added flexibility and control of running your own ECS container instances. We'll talk about why Remind decided to move its infrastructure from Heroku to AWS, introduce you to ECS and the open source platform we built on top of it to make migration easier, and then we'll demo Empire to show you how you can try it today.
As software development teams transition to cloud-based architectures and adopt agile processes, the tools they need to support application development in this new world will change. In this session, we'll take you the transition that Amazon made to a service-oriented architecture over a decade ago, and introduce you to some of the processes and tools that we built and adopted along the way. We’ll share what lessons we’ve learned, explain how we’ve achieved better agility and reliability in our software development and deployment processes, and present an overview of tools we’ve used to help get us there that have since become services such as AWS CodeCommit, AWS CodePipeline, AWS CodeDeploy, and more.
These are the slides from my talk about the AppScale project at the SBonRails meetup. It covers AppScale as well as Google App Engine and the research projects have come out of it, including Neptune, a Ruby DSL focused on computation-heavy workloads.
Deploy, Manage, and Scale Your Apps with OpsWorks and Elastic BeanstalkAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
These are my slides from my talk at LA.rb, covering research at UCSB on the AppScale project. This is a condensed version of the talk I gave at SBonRails - see that talk for about twice as much material on these topics.
Stop Worrying about Prodweb001 and Start Loving i-98fb9856 (ARC201) | AWS re:...Amazon Web Services
Traditionally, IT organizations have treated infrastructure components like family pets. We name them, we worry about them, and we let them wake us up at 4:00 am. Amazon CTO Werner Vogels has dubbed these behaviors as server hugging and antiquated in today's cloud infrastructures. In this breakout session, we will discuss methods and methodology to get away from server hugging and be concerned more with the overall status and life of our entire infrastructure. From making use of toss-away-able on-demand infrastructure, to monitoring services and not individual servers, to getting away from naming instances, this session helps you see your infrastructure for what it is, technology that you control.
These are the slides from my presentation at CLOUDCOMP 2009 on AppScale, an open source platform for running Google App Engine apps on. See our project home page at http://appscale.cs.ucsb.edu or our code page at http://code.google.com/p/appscale
Running and managing large scale applications with microservices architectures can be difficult and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance service for running and managing Docker applications. In this session, we will walk through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We will show you how to setup, manage, and scale your Amazon ECS resources, and keep them secure. We will also discuss how to monitor your containerized application running on Amazon ECS and we'll provide best practices for logging and service discovery.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Konstantin Williams, Solutions Architect
This is a basic tech experience to build auto scale with AWS shared from LIVEhouse.in. The slide also includes how we coordinate auto scaling and the release deployment.
Cost is often the conversation starter when customers think about moving to the cloud. AWS helps lower costs for customers through its “pay only for what you use” pricing model, frequent price drops, and pricing model choice to support variable & stable workloads. In this session, you will learn about the financial considerations of owning and operating a traditional data center or managed hosting provider versus utilizing AWS. We will detail our TCO methodology and showcase cost comparisons for some common customer use-cases. We’ll also cover a few AWS cost optimization areas, including Spot and Reserved Instances, EC2 Auto Scaling, and consolidated billing.
Presenter:
Amit Sharma, Solution Architect, Amazon Internet Services
Krishnenjit Roy, Director IT Operations, Freshdesk
DCPython: Architecture at PBS (Jun 7, 2011)Drew Engelson
Drew Engelson and Edgar Roman present on how PBS uses Python, Django, Celery, Solr and autoscales Amazon EC2 to power the highly trafficked http://www.pbs.org/ and related sites (such as http://video.pbs.org/).
My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).
Local Testing and Deployment Best Practices for Serverless Applications - AWS...Amazon Web Services
-Learn best practices for testing, debugging, and deploying serverless applications
-Understand how to use the AWS Serverless Application Model (AWS SAM) to model and deploy serverless applications
-Learn to use the AWS SAM Local CLI tool to locally test Lambda functions
(DVO305) Turbocharge YContinuous Deployment Pipeline with ContainersAmazon Web Services
It worked on my machine! How many times have you heard (or even said) this sentence? Keeping consistent environments across your development, test, and production systems can be a complex task. Enter containers! Containers offer a way to develop and test your application in the same environment in which it runs in production. Developers can use tools such as Docker Compose for local testing of complex applications; Jenkins and AWS CodePipeline for building and orchestration; and Amazon ECS to manage and scale their containers. Come to this session to learn how to build containers into your continuous deployment workflow, accelerating the testing and building phases and leading to more frequent software releases. Attendees will learn to use Docker containers to develop their applications and test locally with Docker Compose (or Amazon ECS local), integrate containers in building, deploy complex applications on Amazon ECS, and orchestrate continuous development workflows with CodePipeline.
(DVO308) Docker & ECS in Production: How We Migrated Our Infrastructure from ...Amazon Web Services
This session will introduce you to Empire, a new self-hosted PaaS built on top of Amazon’s EC2 Container Service (ECS). Empire is a recently open-sourced project that provides a mostly Heroku-compatible API. It allows engineering teams to deploy and manage applications in a method similar to Heroku, but with the added flexibility and control of running your own ECS container instances. We'll talk about why Remind decided to move its infrastructure from Heroku to AWS, introduce you to ECS and the open source platform we built on top of it to make migration easier, and then we'll demo Empire to show you how you can try it today.
As software development teams transition to cloud-based architectures and adopt agile processes, the tools they need to support application development in this new world will change. In this session, we'll take you the transition that Amazon made to a service-oriented architecture over a decade ago, and introduce you to some of the processes and tools that we built and adopted along the way. We’ll share what lessons we’ve learned, explain how we’ve achieved better agility and reliability in our software development and deployment processes, and present an overview of tools we’ve used to help get us there that have since become services such as AWS CodeCommit, AWS CodePipeline, AWS CodeDeploy, and more.
These are the slides from my talk about the AppScale project at the SBonRails meetup. It covers AppScale as well as Google App Engine and the research projects have come out of it, including Neptune, a Ruby DSL focused on computation-heavy workloads.
Deploy, Manage, and Scale Your Apps with OpsWorks and Elastic BeanstalkAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
These are my slides from my talk at LA.rb, covering research at UCSB on the AppScale project. This is a condensed version of the talk I gave at SBonRails - see that talk for about twice as much material on these topics.
Stop Worrying about Prodweb001 and Start Loving i-98fb9856 (ARC201) | AWS re:...Amazon Web Services
Traditionally, IT organizations have treated infrastructure components like family pets. We name them, we worry about them, and we let them wake us up at 4:00 am. Amazon CTO Werner Vogels has dubbed these behaviors as server hugging and antiquated in today's cloud infrastructures. In this breakout session, we will discuss methods and methodology to get away from server hugging and be concerned more with the overall status and life of our entire infrastructure. From making use of toss-away-able on-demand infrastructure, to monitoring services and not individual servers, to getting away from naming instances, this session helps you see your infrastructure for what it is, technology that you control.
These are the slides from my presentation at CLOUDCOMP 2009 on AppScale, an open source platform for running Google App Engine apps on. See our project home page at http://appscale.cs.ucsb.edu or our code page at http://code.google.com/p/appscale
Running and managing large scale applications with microservices architectures can be difficult and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance service for running and managing Docker applications. In this session, we will walk through a number of patterns and tools used by our customers to run their applications on Amazon ECS. We will show you how to setup, manage, and scale your Amazon ECS resources, and keep them secure. We will also discuss how to monitor your containerized application running on Amazon ECS and we'll provide best practices for logging and service discovery.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Konstantin Williams, Solutions Architect
This is a basic tech experience to build auto scale with AWS shared from LIVEhouse.in. The slide also includes how we coordinate auto scaling and the release deployment.
Cost is often the conversation starter when customers think about moving to the cloud. AWS helps lower costs for customers through its “pay only for what you use” pricing model, frequent price drops, and pricing model choice to support variable & stable workloads. In this session, you will learn about the financial considerations of owning and operating a traditional data center or managed hosting provider versus utilizing AWS. We will detail our TCO methodology and showcase cost comparisons for some common customer use-cases. We’ll also cover a few AWS cost optimization areas, including Spot and Reserved Instances, EC2 Auto Scaling, and consolidated billing.
Presenter:
Amit Sharma, Solution Architect, Amazon Internet Services
Krishnenjit Roy, Director IT Operations, Freshdesk
DCPython: Architecture at PBS (Jun 7, 2011)Drew Engelson
Drew Engelson and Edgar Roman present on how PBS uses Python, Django, Celery, Solr and autoscales Amazon EC2 to power the highly trafficked http://www.pbs.org/ and related sites (such as http://video.pbs.org/).
My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
In this presentation, Jeff Barr introduces AWS, with a focus on EC2, and then shows how to use AWS Elastic Beanstalk with Git-based deployment of a PHP application.
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
Timothee Cruse, Solutions Architect, Amazon Web Services, ASEAN
AWS Core services:
* The AWS web console: the entry point for configuring your infrastructure in the AWS cloud
* The Free Tier and how to setup billing alerts
* Elastic Compute Cloud (EC2) instances, and the ease with which you can pick a particular Amazon Machine Image (AMI) for your workload, and spin it up as an instance right away
* How to create and deploy a high-availability web application in AWS, with an Elastic Load Balancer (ELB) and a multi-availability-zone Relational-Database-Service (RDS) instance
* How CloudFormation can automate all of the above.
Serverless Functions:
Serverless architecture allows developers to focus on code and their business problem rather than spending time looking after backend infrastructure. Serverless architecture can help developers build scalable, high-performing, and cost-effective applications quickly
We will talk about how serverless architecture and AWS Lambda can make things easier, cheaper, and help to accelerate development of projects.
AWS as platform for scalable applicationsRoman Gomolko
Introduction to Amazon Web Services that allow to concentrate on your application rather then concentrating on infrastructure needed to run. Following services are briefly exposed Beanstalk, RDS, DynamoDB, DynamoDB streams, Kinesis, SQS, Lambda, S3, CloudFront.
by Martin Schade, Enterprise Solutions Architect, & Gareth Eagar, Solutions Architect, AWS
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Running your app in the Cloud is all the rage, but our tools for managing and supporting complex environments lag behind our needs. If we truly want to embrace Infrastructure as a Service, then we must apply standard software development lessons such as: DRY, Versioning, Decomposition, Abstraction and more. Why haven't we taken these lessons to heart?
This presentation outlines the updated Localization service in a clear and concise fashion with no fancy graphics or colors. Black and white as can be with no ambiguity.
PBS’ Tom Crenshaw and NPR’s Javaun Moradi discuss the PBS and NPR APIs. Topics covered are radio, television and dual-licensee stations can leverage the PBS and NPR APIs to innovate and build audience on their websites, mobile devices, and beyond. Tom and Javaun discuss retrieving API content for use on station sites, putting station content into our APIs for reuse elsewhere, and finding station information based on location or call letters. They share their ideas on where the public media APIs are headed, and they look forward to hearing your questions, feedback, and pain points.
An overview of techniques for defending against SQL Injection using Python tools. This slide deck was presented at the DC Python Meetup on October 4th, 2011 by Edgar Roman, Sr Director of Application Development at PBS
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
2. PBS is…
• PBS is a national federation of independently owned and
operated public television stations and producers
– Each with their own management and development resources
• 1500+ highly trafficked websites:
– http://www.pbs.org/
– http://www.pbs.org/nova/
– http://pbskids.org/
– http://pbskids.org/sesame/
– http://video.pbs.org/
• Enterprise services/APIs
3. PBS is not!
• Radio is easy… We do television!
• Or any of the other ~200 local stations.
4. What we do
• Technology leadership within public
broadcasting community
• Distribution of national programming content
• Services to local stations
• Core application development. Yeah!!!
6. History of PBS.org
Early 1990’s: Hand rolled static html
Late 1990’s: Hand crafted static html + CGI!
Most of 2000’s: Zope/Plone CMS generated static html
2008-10: Django generated static html
Launched Oct 2010: Django all the way
7. COVE API
• Contains the metadata for all PBS videos online
including pointers to streaming video
• Needed to be:
– Secure
– Fast
– Scalable
8. COVE API – Technology Stack
• Amazon Elastic Cluster Computing (EC2)
• Amazon Relational Database Service (RDS)
• Linux
• Python
• Django
• Piston for REST API
9. COVE API - Architecture
Internet
Elastic Load Balancer
Auto Scale Array
App Server 1 … App Server N
HA Proxy
S3
RDS Master RDS Slave 11
RDS Slave
RDS Slave 1 Backups
App Sync Server
10. COVE API – Management Tools
• Amazon Web Service Console
• RightScale
• Splunk
11. COVE API – Interesting Stuff
• Easy to load test
– Duplicate environment for several days
• Easy to scale
– Autoscale array grows automatically
• Easy to upgrade
– Each server built from vanilla base
12. COVE API – Lessons learned
• Use normalized data for administration and de-
normalized data for API
13. COVE API – Lessons learned
• Piston is fine, but lacks flexibility without
significant customization
– TastyPie?
• JSON is probably good enough
• Don’t get fancy with your endpoints
• Stick to REST principles
• Don’t get fancy with your authentication
– Use OAuth2 or simple token
14. PBS.org and Merlin API
• PBS.org
– Slim, fast layer
– Pulls data from Merlin API
– Uses memcache extensively
– Currently Django, but could be anything (Flask?)
• Merlin API
– Aggregate content from distributed CMSes
– Expose via standardized API
– Power PBS.org and more
17. Merlin API architecture
API Endpoint – Django Piston
Search service Indexing service
Django-haystack Solr
Data layer – MySQL (RDS)
Administration Feed ingestion
Django admin Celery
18. Merlin API server topology
Internet
Elastic Load Balancer
Autoscaling App #N
App #N Solr Master
array App #N Celery
App #n Index DB RDS
S3 backups
19. Merlin API – Management Tools
• Amazon Web Service Console
• RightScale
• Splunk
20. API - Piston/Haystack/Solr
class WebObjectIndexHandler(BaseHandler):
...
def get_queryset(self):
...
return PistonSearchQuerySet().models(*models)
from haystack.query import SearchQuerySet
class PistonSearchQuerySet(SearchQuerySet):
...
def __getitem__(self, k):
...
return [IndexSerializer(i) for i in
super(PistonSearchQuerySet, self).__getitem__(k)]
22. Merlin API - Lessons learned
• Memcached was not necessary
• Denormalized search data via Solr index is much faster
than querying database
• Asynchronous task delegation is awesome
• Celery prone to memory leaks
• App server array for easy horizontal scaling
– Even if not autoscaling, increase min servers
• Never trust data you don’t control (validate!)
24. PBS Developer Community
• Dedicated to making open.PBS the industry
standard in open development communities.
http://open.pbs.org/
https://github.com/pbs
open@pbs.org
25. Questions?
Drew Engelson
drew@engelson.net
http://tomatohater.com
Edgar Roman
emroman@pbs.org