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Talk by Dilip Kola, Co-Founder of Tensult on the topic "Advanced serverless application architecture and design considerations" at AWS Community Day Bangalore 2018
Advanced serverless application architecture and design considerations
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AWS User Group Bengaluru
The talk about PromisePipe
PromisePipe inception
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Eldar Djafarov
Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. 2018 has brought massive improvements in Amazon S3 request rates and overall throughput. In this chalk talk, you have the opportunity to interact directly with the Amazon S3 engineering team responsible for the S3 index and many other components at the core of these improvements. We discuss what's changed, including the removal of the need for prefix randomization, and the ways you can improve your architecture to enhance performance in the unique environment of Amazon S3.
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018
Amazon Web Services
Exploring the IDX Broker API with Dev channel manager Anotnio Ortgea. Learn more about the IDX Broker Developer Partner program: http://bit.ly/DeveloperProgram
IDX API with Antonio
IDX API with Antonio
IDX Broker
In this talk, we dive into the key metrics and tooling that you should be using to monitor your Kubernetes containerized applications. We dissect the metrics that have shown to be critical for Kubernetes cluster operations. We also share experience gained while helping to build and operate Amazon Elastic Container Service for Kubernetes (Amazon EKS). Topics covered include monitoring etcd and the Kubernetes control plane components.
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Monitor the World: Meaningful Metrics for Containerized Apps and Clusters (CO...
Amazon Web Services
In-depth study of Apollo Server.
Apollo Server
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Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...
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This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
Real Time Serverless Polling App
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Srushith Repakula
Recommandé
Talk by Dilip Kola, Co-Founder of Tensult on the topic "Advanced serverless application architecture and design considerations" at AWS Community Day Bangalore 2018
Advanced serverless application architecture and design considerations
Advanced serverless application architecture and design considerations
AWS User Group Bengaluru
The talk about PromisePipe
PromisePipe inception
PromisePipe inception
Eldar Djafarov
Amazon S3 powers some of the most performance-sensitive workloads running in the cloud today. 2018 has brought massive improvements in Amazon S3 request rates and overall throughput. In this chalk talk, you have the opportunity to interact directly with the Amazon S3 engineering team responsible for the S3 index and many other components at the core of these improvements. We discuss what's changed, including the removal of the need for prefix randomization, and the ways you can improve your architecture to enhance performance in the unique environment of Amazon S3.
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018
Optimizing Performance in Amazon S3 (STG367-R2) - AWS re:Invent 2018
Amazon Web Services
Exploring the IDX Broker API with Dev channel manager Anotnio Ortgea. Learn more about the IDX Broker Developer Partner program: http://bit.ly/DeveloperProgram
IDX API with Antonio
IDX API with Antonio
IDX Broker
In this talk, we dive into the key metrics and tooling that you should be using to monitor your Kubernetes containerized applications. We dissect the metrics that have shown to be critical for Kubernetes cluster operations. We also share experience gained while helping to build and operate Amazon Elastic Container Service for Kubernetes (Amazon EKS). Topics covered include monitoring etcd and the Kubernetes control plane components.
Monitor the World: Meaningful Metrics for Containerized Apps and Clusters (CO...
Monitor the World: Meaningful Metrics for Containerized Apps and Clusters (CO...
Amazon Web Services
In-depth study of Apollo Server.
Apollo Server
Apollo Server
NodeXperts
Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...
Amazon Web Services
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
Real Time Serverless Polling App
Real Time Serverless Polling App
Srushith Repakula
In this builders session, get hands-on experience deploying a web app via Amazon EC2 Fleet on Spot Instances and On-Demand. Amazon EC2 Spot Instances offer spare compute capacity in the AWS Cloud available at steep discounts compared to On-Demand prices. Learn how to deploy a fleet of instances behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Amazon Web Services
Integrating google maps into Salesforce - Starting with description of the Project we have worked upon, there’s an app we created for searching and showing Account’s location on the Map and knowing a route map from one location to another location via some locations(Checkpoints). For the requirement we used Google maps api which is in Javascript format. There are some predefined javascript functions used in the Google map api.
Salesforce Google Maps Integration
Salesforce Google Maps Integration
Cloud Analogy
Detailed Slides
Deploying computer vision model as api using aws lambda and api gateway
Deploying computer vision model as api using aws lambda and api gateway
Shirish Gupta
For a wide variety of metrics—including business metrics, application metrics, and low-level software and hardware metrics—it is critical to detect abnormalities to ensure that you end up with the right data. In this chalk talk, learn about the Random Cut Forest algorithm built into Amazon SageMaker in order to detect anomalies. We dive deep into detecting anomalies and tuning data in order to find practical solutions.
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
Amazon Web Services
GraphQL API Management, Amit P. Acharya, Head of Product – API Management & Gateways at IBM
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
apidays
AWS global infrastructure provides the tools customers need to design resilient and reliable services. In this session, we discuss how to get the most out of these tools.
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
Amazon Web Services
Puzzle design
Puzzle design
Chaffey College
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Chapter 04
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Target markets
Target markets
Chaffey College
The games factory 2 alien wars
The games factory 2 alien wars
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Social networks and games
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Ch 1 alice
Ch 1 alice
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Chapter 05
Chapter 05
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MCA 4: CGI
CGI by rj
CGI by rj
Shree M.L.Kakadiya MCA mahila college, Amreli
Sending data in cgi
Sending data in cgi
Chaffey College
Integrate Sas With Google Maps
Integrate Sas With Google Maps
vineetkaul
Introduction to Web Programming with Perl
Introduction to Web Programming with Perl
Dave Cross
Are you interested in adding your own custom algorithms to Spark ML? This is the talk for you! See the companion examples in the High Performance Spark, and Sparkling ML project.
Extending spark ML for custom models now with python!
Extending spark ML for custom models now with python!
Holden Karau
Architects and Developers often go through lots of pain while loading external data into Salesforce during one-time deployments, as well as while copying data across different sandboxes and production environments. Google Apps Scripts presents an elegant solution to transform CSV data loaded within Google Sheets into appropriate formats required by the target org. Join us to learn to read data within Google Sheets, various mechanisms for transforming this data, and finally writing it to a target Sheet that can be loaded into Salesforce.
Minimal Fuss Data Transformation Using Google Apps Scripts
Minimal Fuss Data Transformation Using Google Apps Scripts
Salesforce Developers
In this file, MarsDevs illustrates functions in Python, the function argument, and the keyword argument. We use various examples with code to understand the concept better. Click here to know more: https://www.marsdevs.com/blogs/functions-and-arguments-in-python
Functions and Arguments in Python
Functions and Arguments in Python
Mars Devs
Os Lonergan
Os Lonergan
oscon2007
This presentation was given by Justin Kitagawa (GoGrid's Lead Senior Software Engineer) at the Cloud Connect Event 2010 as part of a panel "Writing Code for Many Clouds". Video of the presentation is located at: http://blog.gogrid.com/?p=1807 The presentation provides an overview of GoGrid's API.
GoGrid API - Presented at Cloud Connect Event 2010
GoGrid API - Presented at Cloud Connect Event 2010
GoGrid Cloud Hosting
Contenu connexe
Tendances
In this builders session, get hands-on experience deploying a web app via Amazon EC2 Fleet on Spot Instances and On-Demand. Amazon EC2 Spot Instances offer spare compute capacity in the AWS Cloud available at steep discounts compared to On-Demand prices. Learn how to deploy a fleet of instances behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Amazon Web Services
Integrating google maps into Salesforce - Starting with description of the Project we have worked upon, there’s an app we created for searching and showing Account’s location on the Map and knowing a route map from one location to another location via some locations(Checkpoints). For the requirement we used Google maps api which is in Javascript format. There are some predefined javascript functions used in the Google map api.
Salesforce Google Maps Integration
Salesforce Google Maps Integration
Cloud Analogy
Detailed Slides
Deploying computer vision model as api using aws lambda and api gateway
Deploying computer vision model as api using aws lambda and api gateway
Shirish Gupta
For a wide variety of metrics—including business metrics, application metrics, and low-level software and hardware metrics—it is critical to detect abnormalities to ensure that you end up with the right data. In this chalk talk, learn about the Random Cut Forest algorithm built into Amazon SageMaker in order to detect anomalies. We dive deep into detecting anomalies and tuning data in order to find practical solutions.
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
Amazon Web Services
GraphQL API Management, Amit P. Acharya, Head of Product – API Management & Gateways at IBM
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
apidays
AWS global infrastructure provides the tools customers need to design resilient and reliable services. In this session, we discuss how to get the most out of these tools.
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
Amazon Web Services
Tendances
(6)
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...
Salesforce Google Maps Integration
Salesforce Google Maps Integration
Deploying computer vision model as api using aws lambda and api gateway
Deploying computer vision model as api using aws lambda and api gateway
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
Detect Anomalies Using Amazon SageMaker (AIM420) - AWS re:Invent 2018
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
APIdays Helsinki 2019 - GraphQL API Management with Amit P. Acharya, IBM
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...
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Puzzle design
Puzzle design
Chaffey College
Chapter 04
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Chaffey College
Target markets
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Chaffey College
The games factory 2 alien wars
The games factory 2 alien wars
Chaffey College
Social networks and games
Social networks and games
Chaffey College
Ch 1 alice
Ch 1 alice
Chaffey College
Chapter 05
Chapter 05
Chaffey College
En vedette
(7)
Puzzle design
Puzzle design
Chapter 04
Chapter 04
Target markets
Target markets
The games factory 2 alien wars
The games factory 2 alien wars
Social networks and games
Social networks and games
Ch 1 alice
Ch 1 alice
Chapter 05
Chapter 05
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Are you interested in adding your own custom algorithms to Spark ML? This is the talk for you! See the companion examples in the High Performance Spark, and Sparkling ML project.
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This presentation was given by Justin Kitagawa (GoGrid's Lead Senior Software Engineer) at the Cloud Connect Event 2010 as part of a panel "Writing Code for Many Clouds". Video of the presentation is located at: http://blog.gogrid.com/?p=1807 The presentation provides an overview of GoGrid's API.
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Your client says "Can we make the site work with snarkly.com? I hear they have a great API". What do you do? Don't panic! Working with remote services can be an incredibly powerful way to leverage the hard work of other developers and to build the capabilities of Drupal. Cool web services offering useful data and functions are proliferating like rabbits, and many have an API that they promote as "well documented and easy to use". Sometimes this is even true. We will look at two such services and review the basic building blocks of modules to interact with them.
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Passing data in cgi
1.
Sending Data
CISIWEB 430A
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4.
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