WSO2Con Asia 2014 - Essential Elements of an Enterprise PaaS

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The document discusses the essential elements of an enterprise Platform as a Service (PaaS). It outlines key features such as open and extensible architecture, intelligent capacity on demand, scalable and dynamic load balancing, multi-tenancy, multi-cloud and cloud bursting capabilities, comprehensive logging, metering and monitoring, support for multiple providers, efficiency and security, and controlling infrastructure as a service resources. These elements are designed to provide flexibility, optimize resource utilization, ease capacity planning and operations, and allow bursting workloads across multiple cloud environments.

Technology

Essential Elements of an Enterprise PaaS
Lakmal Warusawithana
Committer and PPMC member, Apache Stratos (Incubating)
Software Architect
WSO2 Inc

What are Essentials ? Why Important?
• Open extensible architecture
• Intelligent capacity on demand
• Scalable and dynamic load balancing
• Multi-tenancy
• Multi cloud and cloud bursting
• Logging, Metering and Monitoring
• Multi provider echo system
• Efficiency and security
• Controlling IaaS resources

Open Extensible Architecture…
Why Stratos architecture so important?
• Cartridge model enable bringing in even legacy apps into cloud
• Unified communication across components in the PaaS using
message broker
• Centralized monitoring and metering with unified logging
framework
• Ability to plugin any IaaS due to the use of jclouds API
• Ability to plugin any third party load balancer using message broker
model
• Ability to plugin any third party health checking/monitoring
framework

Intelligent Capacity On Demand
How is it working?
• Scaling algorithm can use multiple factors.
- Load average of the instance
- Memory consumption of the instance
- In-flight request count in LB
• Capable of predicting future load
- Real time analysis of current load status using CEP
integration
- Predict immediate future load based on CEP resulting
streams

Intelligent Capacity On Demand…
Why should one care?
• Maximize resource utilization
• Easy to do capacity planning
• Dynamic load based resource provisioning
• Optimizing across multiple clouds
What are the advantages?
• Make DevOps life easy
• More accurate capacity planning
!

Scalable and Dynamic Load Balancing
How Scalable it is?
• In theory infinite
- horizontal scaling
- limited by resource (instance capacity) availability
How Dynamic it is?
• Load Balancers are spawned dynamically
- LB too is a cartridge
• In case of multi-cloud, multi-region, LB can scale per
cloud/region
• Per service cluster LB

Scalable and Dynamic Load Balancing…
What is unique about Stratos?
• Cartridge based LB model
• Can bring any third-party LB
- As easy as plugging into LB extension API
- HAProxy, nginx, AWS ELB
!
!

Multi-tenancy
What MT model does Stratos support?
• Container MT - virtual Machine, LXC, Docker
• In-container MT - within VM/LXC/Docker tenancy
What are the advantage of this model?
• Optimizing resource utilization
- by sharing resource such as CPU, memory across tenants
- low footprint, based on utilization/usage of the tenants
app
• No need dedicated resource allocation for tenants

Logging, Metering and Monitoring
What captured?
• Instance up/down time
• Each and every instances health status
- application health, load average, memory consumption
• Application logs
What are the advantages?
• DevOps life easy
- centralize log viewer
- centralize dashboard
• Easy to throttling

Cloud Bursting
What is it?
• Expanding/provisioning application into another cloud to handle
peak load.
Why Should one care?
• Resource peak time can be off-loaded to third party clouds/
resources
What is unique about Stratos?
• Can off-load to any cloud
- Private, Public and Hybrid
• Easy to managed with the model of LB per busting cloud

Cloud Bursting…
What are the advantages?
• Make DevOps life easy
• Low TCO, and higher utilization existing dedicated
resources
!
!
!
!

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Amazon EKS 그리고 Service Mesh Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.

Cloud presentation NELA

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Roland Hochmut ist der Project Tech Lead (PTL) und Software Architect bei Monasca, das Open –Source Monitoring-as-a-Service (at-Scale) OpenStack Project (https://wiki.openstack.org/wiki/Monasca). Er konzentriert sich auf die Entwicklung einer leistungsstarken, skalierbaren und zuverlässigen Turn-Key Monitoring Lösung, die Einfluss hat auf die leitenden Trends und Innovationen der Industrie was Streaming von Daten, Analyse und Big Data betrifft. Er ist auch verantwortlich für die Metrics Processing Pipeline für HP`s öffentliche Cloud. Er hat Erfahrung in mehreren Software-Bereichen und Domänen, sowohl von 3-D Computer Grafiken als auch von Remote Desktop Visualisierung und Cloud Computing und Monitoring.

OSMC 2016 | Monasca: Monitoring-as-a-Service (at-Scale) by Roland Hochmuth

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Monasca, monasca.io ist eine Turn-Key Open Source OpenStack Monitoring-as-a-Service Plattform, die Authentifizierung und multi-Tenancy mittels OpenStack Keystone Identity Service unterstützt. Monasca ist eine hoch skalierbare, leistungsfähige und Fehler-tolerante Monitoring-as-a-Service Lösung, die Push-based Streaming-Metrics, Gesundheit/Status, Alarmierung/Thresholding und Benachrichtigungen unterstützt. Logging-as-a-Service befindet sich in der Entwicklung, und das Ziel ist es eine umfassende und integrierte Monitoring Lösung für Open Stack Clouds zur Verfügung zu stellen, die auch Kennzahlen, Events und Logs unterstützt.

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This document discusses building event-driven, fault-tolerant microservices. It begins by discussing lessons learned from SOA architecture and defining microservices. It emphasizes that microservices need to be reactive and message-driven to achieve loose coupling and fault tolerance. The document then outlines challenges in implementing microservices at scale before proposing a design using Spring Boot, Kafka, Docker, and Elastic Stack. It provides an in-depth look at these components and how they address scalability, isolation, fault tolerance and monitoring of microservices.

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Platform-as-a-Service (PaaS) is a technology designed to make devops easier and allow developers to focus on application development. The PaaS takes care of provisioning, scaling, HA, and other cloud management aspects. Apache Stratos is a PaaS codebase developed in Apache and designed to create a highly productive developer environment while also supporting powerful deployment options. Integration with the Docker platform, CoreOS Linux distribution, and Kubernetes container management system bring more scalability and flexibility to a Apache Stratos PaaS. This session will include installing and deploying sample applications using Docker,CoreOS and Kubernetes, and a walkthrough on how it can be extended to support new application containers. It will also include a demonstration of app deployment, provisioning, auto-scaling, and more.

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IaaS provides on-demand, self-service access to computing resources like servers and storage. PaaS automates the deployment of applications on top of IaaS and handles scaling. SaaS delivers applications to users through a thin client like a web browser. iPaaS facilitates integration between SaaS, PaaS, IaaS, and on-premise systems through a cloud-based platform. Popular IaaS include OpenStack and VMware vSphere, PaaS include Cloud Foundry and OpenShift, while Salesforce and Office 365 are examples of SaaS.

Open Source Middleware for the Cloud: WSO2 Stratos

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Stratos is an open source middleware platform for the cloud that provides Platform as a Service (PaaS) capabilities. It is based on the WSO2 Carbon middleware platform and provides features such as self-service provisioning, multi-tenancy, elastic scaling, metering, and billing. Stratos offers a complete PaaS solution with services for application development, data, integration, identity, and logging in a cloud environment.

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The document outlines an infrastructure 2.0 approach based on cloud native technologies. It advocates for infrastructure as code, test-driven deployments, open source tools, and seamless developer workflows. The approach uses microservices, containers, service meshes, and orchestration with Kubernetes. It recommends tools like Terraform, Jenkins, Kubernetes, Istio, Prometheus, Elasticsearch and Airflow for infrastructure provisioning, CI/CD, container management, service mesh, monitoring, logging, and job scheduling. It also discusses Docker, data pipelines, and processes for onboarding new applications.

Apache Stratos (Incubating) is the Platform as a Service (PaaS) project from ...

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Apache Stratos is an open source Platform-as-a-Service (PaaS) framework that provides elastic scalability for any type of service. It was originally developed by WSO2 and donated to the Apache Software Foundation. Stratos uses a controller, foundation services, and cartridges to provide user management, storage, billing, and other capabilities. Its message broker and event bus architecture allows for unified communication and integration with third party services.

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WSO2Con Asia 2014 - Essential Elements of an Enterprise PaaS

1. Essential Elements of an Enterprise PaaS Lakmal Warusawithana Committer and PPMC member, Apache Stratos (Incubating) Software Architect WSO2 Inc

2. What are Essentials ? Why Important? • Open extensible architecture • Intelligent capacity on demand • Scalable and dynamic load balancing • Multi-tenancy • Multi cloud and cloud bursting • Logging, Metering and Monitoring • Multi provider echo system • Efficiency and security • Controlling IaaS resources

3. Open Extensible Architecture

4. Open Extensible Architecture… Why Stratos architecture so important? • Cartridge model enable bringing in even legacy apps into cloud • Unified communication across components in the PaaS using message broker • Centralized monitoring and metering with unified logging framework • Ability to plugin any IaaS due to the use of jclouds API • Ability to plugin any third party load balancer using message broker model • Ability to plugin any third party health checking/monitoring framework

5. Intelligent Capacity On Demand How is it working? • Scaling algorithm can use multiple factors. - Load average of the instance - Memory consumption of the instance - In-flight request count in LB • Capable of predicting future load - Real time analysis of current load status using CEP integration - Predict immediate future load based on CEP resulting streams

6. Intelligent Capacity On Demand… Why should one care? • Maximize resource utilization • Easy to do capacity planning • Dynamic load based resource provisioning • Optimizing across multiple clouds What are the advantages? • Make DevOps life easy • More accurate capacity planning !

7. Scalable and Dynamic Load Balancing How Scalable it is? • In theory infinite - horizontal scaling - limited by resource (instance capacity) availability How Dynamic it is? • Load Balancers are spawned dynamically - LB too is a cartridge • In case of multi-cloud, multi-region, LB can scale per cloud/region • Per service cluster LB

8. Scalable and Dynamic Load Balancing… What is unique about Stratos? • Cartridge based LB model • Can bring any third-party LB - As easy as plugging into LB extension API - HAProxy, nginx, AWS ELB ! !

9. Multi-tenancy What MT model does Stratos support? • Container MT - virtual Machine, LXC, Docker • In-container MT - within VM/LXC/Docker tenancy What are the advantage of this model? • Optimizing resource utilization - by sharing resource such as CPU, memory across tenants - low footprint, based on utilization/usage of the tenants app • No need dedicated resource allocation for tenants

10. Logging, Metering and Monitoring What captured? • Instance up/down time • Each and every instances health status - application health, load average, memory consumption • Application logs What are the advantages? • DevOps life easy - centralize log viewer - centralize dashboard • Easy to throttling

11. Cloud Bursting What is it? • Expanding/provisioning application into another cloud to handle peak load. Why Should one care? • Resource peak time can be off-loaded to third party clouds/ resources What is unique about Stratos? • Can off-load to any cloud - Private, Public and Hybrid • Easy to managed with the model of LB per busting cloud

12. Cloud Bursting… What are the advantages? • Make DevOps life easy • Low TCO, and higher utilization existing dedicated resources ! ! ! !

13. Thank you!

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