This document discusses automating NGINX with DevOps tools like Ansible. It introduces NGINX and its uses in DevOps, including pushing new app versions, automated service discovery, and orchestration. Ansible is described as an open-source tool for provisioning and configuration management. The document demonstrates how to use Ansible roles and NGINX collections to provision and manage NGINX. It also discusses using NGINX Controller, Ansible, and Kubernetes for enterprise automation of hybrid cloud application delivery with features like RBAC, metrics collection, and WAF management.
1. The document discusses selecting Mule as an ESB over other open source options like Fuse after evaluating criteria like maintenance, support, licensing, performance, and integration capabilities.
2. Examples of Mule use cases are presented, including embedding Mule in a Java web application, controlling access to endpoints using Spring security, and routing requests to different data sources using Groovy.
3. Best practices discussed include using Mule testing components during development, combining SoapUI with mock services for testing, and taking a staged approach to migrating systems to the new ESB architecture.
Get Queue List from Microsoft Azure using Mule ESBSanjeet Pandey
This document discusses how to get a queue list from Microsoft Azure using Mule ESB. It describes prerequisites like needing an Azure account. It explains how to create an Azure namespace and get shared access keys. It also discusses configuring the Mule Azure connector, creating a flow to call the Azure service and fetch the queue list, and provides an example XML flow.
Kovair Omnibus Enhancing Integration Scalability for OrganizationsKovair
Kovair Omnibus Technology allows users to scale up their tool integration projects. It deploys multiple adapter servers, multiple Omnibus engines (Context) and load balancers to enhance performance while trying to add tools, users and projects in incremental fashion. For more visit www.kovair.com.
Akamai provides tools to automate workflows and integrate with DevOps pipelines. This includes APIs to manage configurations, fast content purges, and real-time monitoring. It also offers services like load testing, personalization, and traffic management that can offload work from origins to the edge network. The goal is to enable developers to deploy code faster while gaining visibility into performance and security.
This document discusses automating Content Delivery Network (CDN) management through continuous integration and continuous delivery (CI/CD) pipelines. It recommends treating CDN configurations as code artifacts and including the CDN in the automated testing lifecycle. This allows the CDN to adhere to the same standards as other code artifacts and assets. It also minimizes manual steps required to deploy to production. The document provides considerations for implementing CDN CI/CD pipelines and presents a case study of a sample CDN delivery pipeline.
Brisbane AWS Meetup: OpsWorks for Chef AutomateMatt Ray
June 28, 2017 presentation at the Brisbane AWS Meetup.
OpsWorks for Chef Automate is a service directly available from AWS, managed by Chef as a joint offering.
This document discusses automating NGINX with DevOps tools like Ansible. It introduces NGINX and its uses in DevOps, including pushing new app versions, automated service discovery, and orchestration. Ansible is described as an open-source tool for provisioning and configuration management. The document demonstrates how to use Ansible roles and NGINX collections to provision and manage NGINX. It also discusses using NGINX Controller, Ansible, and Kubernetes for enterprise automation of hybrid cloud application delivery with features like RBAC, metrics collection, and WAF management.
1. The document discusses selecting Mule as an ESB over other open source options like Fuse after evaluating criteria like maintenance, support, licensing, performance, and integration capabilities.
2. Examples of Mule use cases are presented, including embedding Mule in a Java web application, controlling access to endpoints using Spring security, and routing requests to different data sources using Groovy.
3. Best practices discussed include using Mule testing components during development, combining SoapUI with mock services for testing, and taking a staged approach to migrating systems to the new ESB architecture.
Get Queue List from Microsoft Azure using Mule ESBSanjeet Pandey
This document discusses how to get a queue list from Microsoft Azure using Mule ESB. It describes prerequisites like needing an Azure account. It explains how to create an Azure namespace and get shared access keys. It also discusses configuring the Mule Azure connector, creating a flow to call the Azure service and fetch the queue list, and provides an example XML flow.
Kovair Omnibus Enhancing Integration Scalability for OrganizationsKovair
Kovair Omnibus Technology allows users to scale up their tool integration projects. It deploys multiple adapter servers, multiple Omnibus engines (Context) and load balancers to enhance performance while trying to add tools, users and projects in incremental fashion. For more visit www.kovair.com.
Akamai provides tools to automate workflows and integrate with DevOps pipelines. This includes APIs to manage configurations, fast content purges, and real-time monitoring. It also offers services like load testing, personalization, and traffic management that can offload work from origins to the edge network. The goal is to enable developers to deploy code faster while gaining visibility into performance and security.
This document discusses automating Content Delivery Network (CDN) management through continuous integration and continuous delivery (CI/CD) pipelines. It recommends treating CDN configurations as code artifacts and including the CDN in the automated testing lifecycle. This allows the CDN to adhere to the same standards as other code artifacts and assets. It also minimizes manual steps required to deploy to production. The document provides considerations for implementing CDN CI/CD pipelines and presents a case study of a sample CDN delivery pipeline.
Brisbane AWS Meetup: OpsWorks for Chef AutomateMatt Ray
June 28, 2017 presentation at the Brisbane AWS Meetup.
OpsWorks for Chef Automate is a service directly available from AWS, managed by Chef as a joint offering.
This document summarizes the key features and benefits of Network Configuration Manager (NCM), a configuration management tool. NCM provides increased network efficiency, stability and control through preventive detection of faulty changes. It allows for faster troubleshooting and restoration of service using automated backups and restoration of pre-configured configurations. NCM enhances compliance through out-of-the-box support for regulations and allows custom policies for monitoring networks. It also improves productivity by automating redundant tasks through configuration templates and workflows.
Learn how to continually measure and optimise the performance and availability of your Java, .NET and Ruby on Rails applications. Understand how you can quickly locate and rectify common performance issues such as CPU spike, memory leaks, slow database calls and rectify issues in the production phase before your users get affected.
Openstack based WebRTC PaaS - Kamailio World 2015 Binan AL Halabi
This document describes how to implement a simple WebRTC service using JsSIP and OpenStack-based Frafos WebRTC PaaS. It discusses architectural assumptions around integrating voice capabilities into web applications. It then outlines the Frafos PaaS architecture and how it uses OpenStack technologies like Heat, Ceilometer, and auto-scaling groups to provide a standardized VoIP cloud with SIP connectivity, media processing, and scalability. An example audio conferencing app is implemented in two weeks to demonstrate the platform.
Considerations for East-West Traffic Security and Analytics for Kubernetes En...Akshay Mathur
This document discusses considerations for securing east-west traffic in Kubernetes environments. It notes growing adoption of containers and Kubernetes for application deployments. Key requirements are discussed like efficient operations, visibility and control, and application security. Common issues in Kubernetes include lack of access control between microservices and lack of application layer visibility. The document then explores potential solutions like using an ingress controller and transparent proxy to provide traffic management, access control policies, and encryption without requiring code changes. It proposes a distributed architecture with a central controller to keep configurations in sync and provide analytics on application traffic and security.
This document outlines a presentation on hosting MTBC's EMR software on Amazon EC2. It introduces cloud computing concepts and Amazon EC2. It then describes how MTBC's EMR would be installed on an EC2 server and made available to clients remotely via Microsoft RemoteApp. The benefits to clients and MTBC are outlined, including reduced costs and maintenance compared to clients hosting EMR locally. It concludes with a demonstration of the AWS management console and hosted EMR solution.
Understand how to monitor different components of your business infrastructure such as application servers, databases, big data stores, web servers, ERP software, middleware and messaging components, as well as virtual and cloud resources. You will also learn how to assign threshold values, configure alerts, automate corrective actions, generate reports, and create custom dashboards.
Automate, monitor and manage MongoDB cluster deploymentAshnikbiz
Organizations spend a lot time and money on databases, and even more on the resources required to manage them. Check out this webinar, where Ashnik will demonstrate how MongoDB Ops Manager can help you automate the time-consuming database administration work – making it easy to deploy, monitor and manage MongoDB.
Webinar link: https://www.ashnik.com/resources/webinars/how-to-automate-deployment-monitoring-and-manage-mongodb-clusters/
This document provides steps to connect Dropbox to Mule ESB using the Dropbox Cloud Connector and OAuth2 authentication. It involves creating a Dropbox app, configuring the Dropbox connector in Mule with the app keys and secret, and using a choice router to check if authorization was successful by looking for an OAuth access token id flow variable.
Enterprise Beacon Object Hive - Siebel Version ControlMilind Waikul
This document discusses the benefits of version control for Siebel objects and describes how Object Hive provides a specialized version control system for Siebel. It notes that traditional version control systems like SVN are built for files, not Siebel objects, and don't integrate seamlessly. Object Hive captures changes directly from the Siebel repository, allows querying objects similar to Siebel Tools, and provides analytics on changes not possible otherwise. It concludes with system requirements and a call to action to try a free demo.
We'll be walking through our AWS journey wherein we'll start with our humble beginnings and how we had to scale ourselves in order to cater to our current business needs.
This talk was presented at AWS Community Day Bengaluru 2019 by Pranesh Vittal, Database Architect, Medlife.com and Prasanna Desai, Senior Build And Release Engineer, Medlife.com
Medlife is a telemedicine platform that provides medicine delivery, doctor e-consultations, and labs. The document outlines the 5 stages of Medlife's infrastructure development on AWS:
Stage 1 was the early days with a simple 2-tier monolith architecture. Stage 2 focused on automation and moving to multi-tier. Stage 3 was migrating infrastructure from Singapore to Mumbai. Stage 4 optimized for growth with services like ECS, EMR, Redis. Stage 5 plans to explore data lakes, AI/ML using services like SageMaker and Textract.
Service Fabric is an open source distributed systems platform for building and managing microservices. It simplifies development and deployment of microservices and supports both Windows and Linux containers. Service Fabric Mesh is a fully managed service that enables developers to deploy microservices applications without managing infrastructure. It consists of clusters of thousands of machines and handles all infrastructure operations without involving the developer. The main differences between Azure Migrate and Azure Site Recovery are that Azure Migrate is dedicated to migrating servers, VDIs, databases and web apps through sequential discovery, assessment and migration steps, while Azure Site Recovery focuses on disaster recovery by enabling cross-region replication of VMs, physical machines and Hyper-V workloads.
This document provides guidance for starters on developing cloud architectures on Azure, AWS, and GCP. It outlines key steps to understand requirements, assess different cloud options and their pros and cons, implement architectures in test and UAT environments, monitor performance and security, and administer resources. It also lists icons, references, case studies, and tools for cloud architecture design. Key considerations for a good cloud architecture include load balancing, monitoring, logging, backup/restore, infrastructure as code, high availability and disaster recovery, alerts, security, integration, cost management, and more. The document asks if the reader knows cloud native principles like designing for automation, managing state, favoring managed services, practicing defense in depth, and continuous architecture.
This document discusses lessons learned from building a startup entirely in the cloud on AWS and dealing with an outage in April 2011. The key points are:
1. The importance of scripted repeatability and automation to setup infrastructure in a fault-tolerant and repeatable way.
2. Eliminating single points of failure by distributing servers across zones and enabling failover of load balancers, app servers and databases.
3. The importance of clear communication during an outage to keep stakeholders informed.
BigDoor's Jeff Malek Gluecon PresentationCarrie Peters
This document discusses lessons learned from building a startup entirely in the cloud on AWS and dealing with an outage in April 2011. The key points are:
1. The importance of scripted repeatability and automation to easily set up and tear down cloud infrastructure. This allows one person to manage many server instances.
2. Eliminating single points of failure by distributing servers across availability zones and enabling failover of load balancers, application servers and databases.
3. The importance of clear communication during an outage to keep stakeholders informed of the status and resolution.
This document provides guidance on troubleshooting issues with EC2 instances and Elastic Load Balancers (ELB) on AWS. It begins by recommending monitoring the AWS service health dashboard and CloudWatch metrics. Potential causes and resolutions are outlined for common problems with EC2 instance launching, health, networking, and EBS volumes. For ELBs, error messages, response metrics, health checks, and other potential problems are covered. The document concludes by listing information needed for support cases and additional resources.
This document discusses monitoring the end user experience of web applications. It describes using synthetic transactions to capture user interactions, monitoring the complete user journey across different locations, and measuring performance of REST APIs, SOAP services, and SSL certificates. Key aspects include simulating real user workflows, detecting errors and slow pages, and ensuring applications meet SLAs from all locations.
Lessons Learned during IBM SmartCloud Orchestrator Deployment at a Large Tel...Eduardo Patrocinio
IBM presented lessons learned from deploying SmartCloud Orchestrator at a large telecommunications provider to automate cloud service delivery. Key challenges included managing a multi-region infrastructure, publishing self-service catalogs, and automating application deployments. The solution involved using OpenStack regions with IBM additions to provide a unified interface and orchestrate deployments across regions. Processes were modeled to provision resources and deploy application stacks through reusable patterns.
Distributed Services Scheduling and Cloud ProvisioningAr Agarwal
This is the presentation for my final year project at NIT Allahabad (2013-14). The purpose of the project is to design a scheduling algorithm for cloud environment with proper resource management.
Refactoring Web Services on AWS cloud (PaaS & SaaS)IRJET Journal
This document discusses refactoring web services to run on AWS cloud platforms including PaaS and SaaS. The key points are:
1. Refactoring the services involves migrating them to managed AWS services like Elastic Beanstalk, RDS, ElastiCache, and Route 53 to reduce operational overhead and improve scalability, availability, and reliability compared to owning physical infrastructure.
2. The proposed refactored architecture involves using Elastic Beanstalk for the application tier, RDS for the database, ElastiCache for caching, and Route 53 for DNS. This allows the services to be deployed and managed with less effort through AWS managed offerings.
3. Migrating to
This document summarizes the key features and benefits of Network Configuration Manager (NCM), a configuration management tool. NCM provides increased network efficiency, stability and control through preventive detection of faulty changes. It allows for faster troubleshooting and restoration of service using automated backups and restoration of pre-configured configurations. NCM enhances compliance through out-of-the-box support for regulations and allows custom policies for monitoring networks. It also improves productivity by automating redundant tasks through configuration templates and workflows.
Learn how to continually measure and optimise the performance and availability of your Java, .NET and Ruby on Rails applications. Understand how you can quickly locate and rectify common performance issues such as CPU spike, memory leaks, slow database calls and rectify issues in the production phase before your users get affected.
Openstack based WebRTC PaaS - Kamailio World 2015 Binan AL Halabi
This document describes how to implement a simple WebRTC service using JsSIP and OpenStack-based Frafos WebRTC PaaS. It discusses architectural assumptions around integrating voice capabilities into web applications. It then outlines the Frafos PaaS architecture and how it uses OpenStack technologies like Heat, Ceilometer, and auto-scaling groups to provide a standardized VoIP cloud with SIP connectivity, media processing, and scalability. An example audio conferencing app is implemented in two weeks to demonstrate the platform.
Considerations for East-West Traffic Security and Analytics for Kubernetes En...Akshay Mathur
This document discusses considerations for securing east-west traffic in Kubernetes environments. It notes growing adoption of containers and Kubernetes for application deployments. Key requirements are discussed like efficient operations, visibility and control, and application security. Common issues in Kubernetes include lack of access control between microservices and lack of application layer visibility. The document then explores potential solutions like using an ingress controller and transparent proxy to provide traffic management, access control policies, and encryption without requiring code changes. It proposes a distributed architecture with a central controller to keep configurations in sync and provide analytics on application traffic and security.
This document outlines a presentation on hosting MTBC's EMR software on Amazon EC2. It introduces cloud computing concepts and Amazon EC2. It then describes how MTBC's EMR would be installed on an EC2 server and made available to clients remotely via Microsoft RemoteApp. The benefits to clients and MTBC are outlined, including reduced costs and maintenance compared to clients hosting EMR locally. It concludes with a demonstration of the AWS management console and hosted EMR solution.
Understand how to monitor different components of your business infrastructure such as application servers, databases, big data stores, web servers, ERP software, middleware and messaging components, as well as virtual and cloud resources. You will also learn how to assign threshold values, configure alerts, automate corrective actions, generate reports, and create custom dashboards.
Automate, monitor and manage MongoDB cluster deploymentAshnikbiz
Organizations spend a lot time and money on databases, and even more on the resources required to manage them. Check out this webinar, where Ashnik will demonstrate how MongoDB Ops Manager can help you automate the time-consuming database administration work – making it easy to deploy, monitor and manage MongoDB.
Webinar link: https://www.ashnik.com/resources/webinars/how-to-automate-deployment-monitoring-and-manage-mongodb-clusters/
This document provides steps to connect Dropbox to Mule ESB using the Dropbox Cloud Connector and OAuth2 authentication. It involves creating a Dropbox app, configuring the Dropbox connector in Mule with the app keys and secret, and using a choice router to check if authorization was successful by looking for an OAuth access token id flow variable.
Enterprise Beacon Object Hive - Siebel Version ControlMilind Waikul
This document discusses the benefits of version control for Siebel objects and describes how Object Hive provides a specialized version control system for Siebel. It notes that traditional version control systems like SVN are built for files, not Siebel objects, and don't integrate seamlessly. Object Hive captures changes directly from the Siebel repository, allows querying objects similar to Siebel Tools, and provides analytics on changes not possible otherwise. It concludes with system requirements and a call to action to try a free demo.
We'll be walking through our AWS journey wherein we'll start with our humble beginnings and how we had to scale ourselves in order to cater to our current business needs.
This talk was presented at AWS Community Day Bengaluru 2019 by Pranesh Vittal, Database Architect, Medlife.com and Prasanna Desai, Senior Build And Release Engineer, Medlife.com
Medlife is a telemedicine platform that provides medicine delivery, doctor e-consultations, and labs. The document outlines the 5 stages of Medlife's infrastructure development on AWS:
Stage 1 was the early days with a simple 2-tier monolith architecture. Stage 2 focused on automation and moving to multi-tier. Stage 3 was migrating infrastructure from Singapore to Mumbai. Stage 4 optimized for growth with services like ECS, EMR, Redis. Stage 5 plans to explore data lakes, AI/ML using services like SageMaker and Textract.
Service Fabric is an open source distributed systems platform for building and managing microservices. It simplifies development and deployment of microservices and supports both Windows and Linux containers. Service Fabric Mesh is a fully managed service that enables developers to deploy microservices applications without managing infrastructure. It consists of clusters of thousands of machines and handles all infrastructure operations without involving the developer. The main differences between Azure Migrate and Azure Site Recovery are that Azure Migrate is dedicated to migrating servers, VDIs, databases and web apps through sequential discovery, assessment and migration steps, while Azure Site Recovery focuses on disaster recovery by enabling cross-region replication of VMs, physical machines and Hyper-V workloads.
This document provides guidance for starters on developing cloud architectures on Azure, AWS, and GCP. It outlines key steps to understand requirements, assess different cloud options and their pros and cons, implement architectures in test and UAT environments, monitor performance and security, and administer resources. It also lists icons, references, case studies, and tools for cloud architecture design. Key considerations for a good cloud architecture include load balancing, monitoring, logging, backup/restore, infrastructure as code, high availability and disaster recovery, alerts, security, integration, cost management, and more. The document asks if the reader knows cloud native principles like designing for automation, managing state, favoring managed services, practicing defense in depth, and continuous architecture.
This document discusses lessons learned from building a startup entirely in the cloud on AWS and dealing with an outage in April 2011. The key points are:
1. The importance of scripted repeatability and automation to setup infrastructure in a fault-tolerant and repeatable way.
2. Eliminating single points of failure by distributing servers across zones and enabling failover of load balancers, app servers and databases.
3. The importance of clear communication during an outage to keep stakeholders informed.
BigDoor's Jeff Malek Gluecon PresentationCarrie Peters
This document discusses lessons learned from building a startup entirely in the cloud on AWS and dealing with an outage in April 2011. The key points are:
1. The importance of scripted repeatability and automation to easily set up and tear down cloud infrastructure. This allows one person to manage many server instances.
2. Eliminating single points of failure by distributing servers across availability zones and enabling failover of load balancers, application servers and databases.
3. The importance of clear communication during an outage to keep stakeholders informed of the status and resolution.
This document provides guidance on troubleshooting issues with EC2 instances and Elastic Load Balancers (ELB) on AWS. It begins by recommending monitoring the AWS service health dashboard and CloudWatch metrics. Potential causes and resolutions are outlined for common problems with EC2 instance launching, health, networking, and EBS volumes. For ELBs, error messages, response metrics, health checks, and other potential problems are covered. The document concludes by listing information needed for support cases and additional resources.
This document discusses monitoring the end user experience of web applications. It describes using synthetic transactions to capture user interactions, monitoring the complete user journey across different locations, and measuring performance of REST APIs, SOAP services, and SSL certificates. Key aspects include simulating real user workflows, detecting errors and slow pages, and ensuring applications meet SLAs from all locations.
Lessons Learned during IBM SmartCloud Orchestrator Deployment at a Large Tel...Eduardo Patrocinio
IBM presented lessons learned from deploying SmartCloud Orchestrator at a large telecommunications provider to automate cloud service delivery. Key challenges included managing a multi-region infrastructure, publishing self-service catalogs, and automating application deployments. The solution involved using OpenStack regions with IBM additions to provide a unified interface and orchestrate deployments across regions. Processes were modeled to provision resources and deploy application stacks through reusable patterns.
Distributed Services Scheduling and Cloud ProvisioningAr Agarwal
This is the presentation for my final year project at NIT Allahabad (2013-14). The purpose of the project is to design a scheduling algorithm for cloud environment with proper resource management.
Refactoring Web Services on AWS cloud (PaaS & SaaS)IRJET Journal
This document discusses refactoring web services to run on AWS cloud platforms including PaaS and SaaS. The key points are:
1. Refactoring the services involves migrating them to managed AWS services like Elastic Beanstalk, RDS, ElastiCache, and Route 53 to reduce operational overhead and improve scalability, availability, and reliability compared to owning physical infrastructure.
2. The proposed refactored architecture involves using Elastic Beanstalk for the application tier, RDS for the database, ElastiCache for caching, and Route 53 for DNS. This allows the services to be deployed and managed with less effort through AWS managed offerings.
3. Migrating to
Service-Level Objective for Serverless Applicationsalekn
Deploying commercial applications that meet their expected business needs is challenging due to the differences between how business goals are specified and how the system is evaluated. Furthermore, business goals are dynamic, requiring deployment to change constantly over time. Such difficulties make it costly to maintain application quality as the underlying infrastructure is not always fast enough to keep up with business changes. Nowadays, serverless opens a new approach to build application. By abstracting out the deployment details, serverless application can be implemented with minimum deployment efforts. Serverless also reduces maintenance cost with auto-scaling and pay-as-you-go. Such abilities make us believe that by adopting serverless, we can build application that can meet and quickly adapt to business goals.
However, simply writing applications with serverless is not sufficient. Due to best-effort invocation mechanisms and the lack of application structure awareness, serverless performance is highly variable and often fails to support applications with rigorous quality of service requirements. In this study, we aim to mitigate such limitations by coupling serverless deployment with business needs. In particular, we define an Serverless Service-Level Objective (SLO) interface that allows developers to describe their application structure and business goals in terms of software-level objectives. We implement an SLO enforcer, which uses this information in combination with the system performance metrics to decide a proper serverless deployment and resource allocation for meeting business goals. The Serverless SLO leverages blueprint model, which allow developers to describe applications' architecture and runtime characteristics needs, to map application description to serverless function deployment on the top of Knative. We deploy our proposed system on KinD, a tool to run Kubernetes cluster over our local Docker container, and evaluate it with different system configurations. Evaluation results showed that SLO definition and enforcement helps serverless application use resources in accordance with business goals.
Microservices @ Work - A Practice Report of Developing MicroservicesQAware GmbH
Cloud Native Night October 2016, Mainz: Talk by Simon Bäumler (Technical Chief Designer at QAware).
Join our Meetup: www.meetup.com/cloud-native-night
Abstract: This talk takes a practice oriented approach to examine microservice oriented architecture. It will show two real systems, one build from scratch in a microservice architecture, the other migrated from a monolithic system to a microservice architecture.
With the example of these two systems the pittfalls, advantages and lessons learned using microservice oriented architectures will be discussed.
While both systems use the java stack, including spring boot and spring cloud many topics will be kept general and will be of interest for all developers.
IBM's SmartCloud Orchestrator provides end-to-end automation of cloud service delivery through workload orchestration, resource orchestration, and service orchestration. It integrates with existing data center tools and processes using open standards. The Orchestrator includes content types like software bundles, virtual images, and patterns to automate multi-tier application deployments. It also allows custom orchestration operations through actions, user interfaces, and service offerings.
This document provides an overview of service mesh and Istio on Kubernetes. It discusses microservices and the need for visibility, monitoring, and traffic management which a service mesh can provide. It then describes Kubernetes, Istio architecture including Pilot, Envoy proxy, and Mixer components. It covers how Istio provides mutual TLS, ingress/egress traffic routing, request routing to service versions, observability with metrics and tracing, and application resilience through features like timeouts and retries. The document concludes with instructions for deploying Kubernetes and getting started with Istio.
IBM IMPACT 2014 - AMC-1882 Building a Scalable & Continuously Available IBM M...Peter Broadhurst
This document provides an overview of designing a scalable and highly available IBM MQ infrastructure. Key points include:
- Using a client/server architecture with MQ deployed separately from applications provides flexibility and allows MQ to be treated as critical infrastructure similar to a database.
- Each sender should connect to two queue managers and each receiver should have two listeners concurrently attached to provide redundancy and no single point of failure.
- Other topics covered include synchronous request/response, publish/subscribe messaging, limitations for ordered messages, and integrating with IBM Integration Bus.
The document emphasizes an active/active design philosophy with minimum two queue managers and discusses workload management strategies for sending and receiving messages across multiple queue managers.
Enterprise Application to Infrastructure Integration - SDN AppsMiftakhZein1
This document summarizes two SDN applications that Cisco is developing - Bandwidth on Demand with Calendaring and Intelligent Traffic Steering with Scheduling. It discusses how these applications integrate business applications with infrastructure through the Cisco Integration Platform and controllers. It provides use cases for how service providers can realize new revenue streams through dynamic bandwidth management and how customers can optimize traffic across hybrid networks. Screenshots of the applications' user interfaces are included.
The document provides an overview of new capabilities and features for IBM SmartCloud Enterprise that were released in December 2012. Key additions include larger VM sizes, alternate Windows instance capture options, pre-release of Windows import/copy and Windows 2012, and expanded geographic availability in the Middle East.
DEVNET-1153 Enterprise Application to Infrastructure Integration – SDN AppsCisco DevNet
We've all heard about SDN and how SDN provides flexible networks to solve networks operation challenges. With respect to SDN Applications, the most obvious conversation is about network applications and services. But today we will discuss how we at Cisco are addressing business challenges and impact business outcomes directly by connecting two disparate worlds of Enterprise applications (EA) and Networking stack using Cisco Integration Platform (CIP).
Microservices architecture is an evolution of service-oriented architecture (SOA) principles applied to application design and development. Some key differences include:
- SOA focuses on exposing application functionality as services at the enterprise level, while microservices focus on developing individual applications as a suite of independently deployable services.
- Microservices are typically smaller, lighter weight services focused on a single task, as opposed to monolithic applications. They communicate with lightweight protocols like HTTP.
- Microservices aim to support continuous delivery and deployment, with goals of automation, resilience, and loose coupling between services.
- Individual microservices can be developed and scaled independently. This provides benefits like enabling continuous delivery and deployment.
So in summary,
The document discusses AWS serverless concepts and solutions. It covers serverless computing advantages like dynamic resource allocation and scaling with usage. It then discusses serverless architectures using AWS services like Lambda, S3, SNS, SQS, and Kinesis. It also covers AWS Lambda configuration and deployment using the Serverless Application Model and CloudFormation. Finally, it discusses CI/CD pipelines and infrastructure as code for serverless applications.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
AWS CloudFormation Automation, TrafficScript, and Serverless architecture wit...PolarSeven Pty Ltd
Chris Kawchuck has 20 years experience in the Telecom and Service provider industry. He will be demonstrating how easy it is to spin up a Brocade vADC in AWS; enabling serverless architectures using S3 buckets, and accomplish real-time traffic rewrites to get you out of sticky situations.
Learn about:
1. Load balancing and scaling options available on AWS
2. Automating the Brocade vADC spin up using Cloudformation Templates
3. Enabling use of "Serverless" web pages in AWS 4.Taking care of tricky situations using TrafficScript
Implementing any 3rd party Load Balancer from the Amazon AWS Marketplace can be a daunting task. Not only does one have to learn the vendor's specific interface, you also need to perform quite a few administrative tasks to setup front end IPs, back end pools, clustering, and so on.
Brocade has published a CloudFormation Template (CFT) which takes all the hard work out of setting it up and operating. Using DevOps tools and open source scripts, we not only automate the deployment of the Brocade vADC within AWS, but all the configuration you need to administer, cluster, and provision your Load Balancers; including public IPs and your back-end server pools.
We would like you to try it, and take advantage of the powerful feature of the Brocade vADC.
https://github.com/dkalintsev/Brocade/tree/master/vADC/CloudFormation/Templates/Variants-and-experimental/Configured-by-Puppet
* Presented at the Sydney AWS User Group session 1st February 2017
http://www.meetup.com/AWS-Sydney/
Hosted and organised by PolarSeven - http://polarseven.com
View the full video presentation here:
https://youtu.be/rKTG2zjQS6o
This document contains a summary of qualifications and experience for an individual with over 3 years of experience in server administration, networking, and AWS management. It details education qualifications including an MCA and BSc, and professional experience providing support and managing AWS environments for several clients in roles such as Systems Engineer and Provisioning Engineer. Responsibilities included provisioning and maintaining systems, security, automation tasks, troubleshooting, and managing configurations.
Get Well Prepared for Google Professional Cloud Developer (GCP-PCD) Certifica...Amaaira Johns
Start Here---> https://bit.ly/3d0djuQ <---Get complete detail on GCP-PCD exam guide to crack Professional Cloud Developer. You can collect all information on GCP-PCD tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on Professional Cloud Developer and get ready to crack GCP-PCD certification. Explore all information on GCP-PCD exam with the number of questions, passing percentage, and time duration to complete the test.
Similar to Building Efficient, Scalable and Resilient Front-end logging service with AWS (20)
This document discusses best practices for using AWS Secrets Manager. It covers an overview of Secrets Manager, security threats related to credentials, compliance with PCI DSS and CIS standards, use cases for secrets with infrastructure as code tools like CloudFormation and Terraform, configuration management with Ansible, auditing secrets usage with CloudTrail, monitoring with CloudWatch, and notifications with SNS. Comparisons are made to other options like SSM Parameter Store and Ansible Vault.
The document discusses cloud security and compliance. It defines cloud computing and outlines the essential characteristics and service models. It then discusses key considerations for cloud security including identity and access management, security threats and countermeasures, application security, operations and maintenance, and compliance. Chief information officer concerns around security, availability, performance and cost are also addressed.
The document describes lessons learned from building a distributed linked list on Amazon S3 to store event data from millions of subscriptions. Initial approaches using a database were unsuccessful due to high read costs. A solution was developed using S3 for storage, batching events for cost efficiency, and an algorithm to order batches without distributed locking. The final system achieved low latency reads of 0.06 seconds on average at high throughput and significant cost savings compared to database-centric approaches. Key lessons included understanding the problem, designing for the capabilities of underlying services, and heeding experienced advice.
Medlife is a telemedicine platform that provides medicine delivery, doctor e-consultations, and labs. The document outlines the 5 stages of Medlife's infrastructure development on AWS:
Stage 1 was the early days with a simple 2-tier monolith architecture. Stage 2 focused on automation and moving to multi-tier. Stage 3 was migrating infrastructure from Singapore to Mumbai. Stage 4 optimized for growth with services like ECS, EMR, Redis. Stage 5 plans to explore data lakes, AI/ML using services like SageMaker and Textract.
This document discusses Slack's transition from using a single AWS account to using multiple accounts organized by team. The key drivers were to assign ownership of services to teams, reduce the blast radius of incidents, reduce service and rate limits, and improve cost management. Tools like Terraform and SSO were used to manage the accounts. While IAM management, migration, and account creation were more difficult than expected, the biggest wins were achieving conformity with Terraform, quick changes, and capturing changes in source control with Terraform and simplifying access for users with SSO. Pain points include deleting accounts, tracking cross-account resources, and access. The future may include more resource and asset sharing between accounts as well as continued
Log Analytics with ELK Stack describes optimizing an ELK stack implementation for a mobile gaming company to reduce costs and scale data ingestion. Key optimizations included moving to spot instances, separating logs into different indexes based on type and retention needs, tuning Elasticsearch and Logstash configurations, and implementing a hot-warm architecture across different EBS volume types. These changes reduced overall costs by an estimated 80% while maintaining high availability and scalability.
- QuizNext is a gamified learning app for CBSE and ICSE students from grades 6-10 with over 100k users and 10 million server calls per month.
- It uses a serverless architecture on AWS with AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3, AWS AppSync, Amazon Cognito, and other services.
- This allows the app to scale easily and cost-effectively to support thousands of users with zero downtime and incremental deployments without capacity planning or log cleaning.
The document discusses translating common application architecture patterns to serverless architectures on AWS. It summarizes circuit breakers using Lambda and Step Functions, using SSM Parameter Store for external configuration, asynchronous background tasks using SQS and ECS/Fargate, and implementing real-time capabilities using API Gateway websockets. The presentation provides examples and advantages of these serverless approaches.
This document provides an overview of using Amazon EC2 Spot Instances for compute workloads. It discusses EC2 Spot pricing and purchase options, features like interruptions and orchestration with Auto Scaling Groups and Spot Fleet. Use cases where Spot is well-suited include stateless, fault-tolerant workloads. Integrations with container and big data services like ECS, EKS and EMR are also covered. The presentation emphasizes flexibility, automation and diversification to maximize cost savings from Spot while minimizing risks of interruptions.
Building Efficient, Scalable and Resilient Front-end logging service with AWSAWS User Group Bengaluru
The number of internet users is increasing rapidly and so is the number of mobile/web applications. Processing and analyzing user activity is one of the techniques to observe/monitor mobile/web apps. Much of this user activity is captured by the mobile app as a structured log.
The problem we are trying to solve here is building and operating a processing backend that ingests activity data from millions of devices with availability and SLA guarantees.
This talk was presented at AWS Community Day Bengaluru 2019 by Kokilavani Kathiresan, Ravikumar Kota and Shailja Agarwala - Intuit
CFP - AWS Community Day 2019
CFP - AWS Community Day 2019
100%
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One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
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One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
This talk was presented at AWS Community Day Bengaluru 2019 by Vijayanirmala, Devops Solution lead, Sonata software limited
Exploring opportunities with communities for a successful career
This talk was presented at AWS Community Day Bengaluru 2019 by Shwetha Lakshman Rao, Sr. MTS , VMware software India & City Director - Women Who Code Bangalore and Moderated by Bhuvaneswari Subramani, AWS re:Invent Diversity Scholarship Recipient
In the talk I speak about our year long journey of implementing a distributed system that needed to run on scale, and what mistakes we made and how we learnt from them. Talk also touches on a very interesting problem of ordering writes in a distributed environment without any locking. The takeaway for the audience would be around how to approach a problem when they are solving for scale.
This talk was presented at AWS Community Day Bengaluru 2019 by Manik Jindal, Computer Scientist, Adobe
The document discusses cloud security and compliance. It defines cloud computing and outlines the essential characteristics and service models. It then discusses key considerations for cloud security including identity and access management, security threats and countermeasures, application security, operations and maintenance, and compliance. Chief information officer concerns around security, availability, performance and cost are also addressed.
The document discusses Amazon EC2 Spot Instances, providing an overview of Spot pricing models and best practices. It outlines that Spot Instances provide spare AWS computing capacity at significantly lower prices than On-Demand instances, with the trade-off being potential interruptions with two minutes notice. The document provides guidance on using Spot for fault-tolerant workloads and monitoring Spot prices and usage to optimize costs.
Deep dive session on Cloud Financial Management Fundamentals and Cost Optimization in AWS.
Presented by Spencer Marley, APAC BD at the November 2018 AWSUGBLR Meetup
Keynote delivered by Madhusudan Sekhar on the topic "Chaos Engineering: Why breaking things should be practiced" presented at AWS Community Day, Bangalore 2018
Talk by Shankar Ganesh PJ and Krishna Vasudevan on the topic "Decentralized enterprise architecture using Blockchain & AWS" at AWS Community Day, Bangalore 2018
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
2. Introduction
- Containers, Serverless, Microservice Architecture change the way the software is
built
- The systems are more distributed, and more ephemeral
- No Complex system is ever fully healthy
- Better Resilience and Fault Tolerance is the goal
- Ease of debugging is a cornerstone to maintain and evolve robust systems
3. Observability
- Internal states of the system should be inferred by
its external outputs
- Reduce MTTD and MTTR
- Verifying the health of the service proactively
- To know what’s broken, and why?
- Provides the all-important feedback that drives
future iterations
4.
5. Our Business Case
- To Collect logs, traces and metrics from Mobile/Web Browser
- Get insights of the application
- Understanding the user behavior patterns
- Monitor application performance
6. Front-end Logging Service
- Exposed a REST Endpoint
- Spring boot application which accepts the
compressed log message
- Decompress and Validate the Payload
- Forward it to the application’s log
destination (Splunk)
Requirements:
- 20000 Transactions per second
- 1 second latency
Internet
Logging
Service
AWS Account
Compressed Batched Logs
7. Latency Improvement
We split the service into two microservices.
Producer:
- Receives request and Validate the sender
- Accepts the payload
- Puts the data to queue
Consumer:
- Polls the data from queue
- Extract the payload and Validate the data
- Sends it to log destination
Logging
Service -
Producer
Logging
Service -
Consumer
SQS
9. Well Architected Framework
Five pillars :
- Operational excellence
- Security
- Reliability
- Performance efficiency
- Cost optimization
10. EC2 Setup
Producer:
- Compute Intensive (c5.2xlarge)
- No of instances : 3 to 20
Consumer:
- Memory Intensive (m5.2xlarge)
- No of Instances : 3 to 20
Alarms:
- Based on JVM metrics sent to Cloud watch
12. Route 53
- Expose the producer ELB through Route 53
- Route 53 endpoint is hosted behind Intuit API
gateway
- Disaster recovery through multiple CName across
region
EC2 EC2 EC2
17. Target Groups
- With auto scaling and load balancers involved, target groups will route
requests to EC2s and microservices
- Requests are being sent to new targets as soon as the registration is
complete and initial health check is passed
20. AMI Restack
Background:
- Intuit compliance team applies security patches and new baseline images are
released every 2 weeks
- App teams must either use these AMIs or derive AMIs from those baseline images
- Automated this entire process by using CW Rule and Codebuild services
22. Code build logs - Baking Logging service AMI
- Launch the new EC2 instance from Baseline AMI
- Copy chef recipes required to install software like java etc.. and
configuration required for Splunk forwarder and log rotation
- Bake logging service AMI
- Publish cloud watch event with the AMI id
24. CW rule on Baked AMI
- Cloud watch rule configured to trigger on baked logging service AMI
- We have 2 targets configured on this CW Rule
- Lambda function: Creates new launch config with new AMI and updates
ASG
- Code pipeline: CD service to automate the steps to release logging
service