Application Centric DevOps

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Application Centric Devops Put Chef, Puppet and Clodufiy together to create the equivalent of Amazon OpsWork on other environments

Tecnología Empresariales

Application Centric Devops
Orchestration, DevOps Automation
& What’s in Between
Nati Shalom @natishalom

What It Really
Takes to
Deploy and
Manage Apps
Provision
Install
Configure
Deploy
Monitor
Scale

Quite often
we end up
with this..

Infrastructur
e
!=
App
Deployment
DevOps Jungle of Tools
http://www.slideshare.net/DevopsCon/devops-jungle-of-tools-ran-tavory

Infrastructure Centric
Environment
Creation
SW Infra.
Setup &
Config
Code Push Monitoring
& Alarming
Repairing Scaling

App Centric - PaaS Frameworks
Environment
Creation
SW Infra.
Setup &
Config
Code Push Monitoring
& Alarming
Repairing Scaling

Bring App-
Management
and
Infrastructure-
Management
Together
http://www.allthingsdistributed.com/2013/02/aws-opsworks.html

Cloudify provide the equivalent of
Amazon OpsWork on OpenStack
App Centric Devops – the AWS way…

• OpenSource
• Design for Enterprises from the
ground up
• Integrates with Chef, Puppet,
OpenStack Heat*
• Tightly integrates with OpenStack
cloud
• Built-in Portability with non
OpenStack clouds
Introduction
to Cloudify
*Coming soon

App Centric Devops – the Cloudify way…
1 Upload your recipe
2 Cloudify creates VMs & installs agents
3 Agents install and manage your app
4 Cloudify automates monitoring, healing
and scaling

DevOps Automation, High Level
Orchestrator
CI
Monitoring &
Alarming
CM Infrastructure
API

So You Can Have This
Environment
Creation
SW Infra.
Setup &
Config
Code Push Monitoring
& Alarming
Repairing Scaling

Thank You!

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The buzzwords Neutron, Heat, and TOSCA are spoken about quite often when it comes to the OpenStack - and many of us are still trying to make sense of the terminology and its place in the OpenStack world. Where OpenStack Neutron provides APIs for creating network elements, OpenStack Heat provides an orchestration engine for automating the setup and configuration of OpenStack infrastructure, while TOSCA is a standard for templating and defining application topology and policies (that form the basis for Heat). In this context, it really makes sense to put these all together to achieve application and network automation for OpenStack on steroids. In this session we will learn how we can use the robust combination of Heat and TOSCA to configure and control resources on Nova and Neutron in order to automate the network configuration as part of the application deployment. The session will include a demo and code examples that show how you can configure virtual networks, attach public IPs, set up security groups, set up load balancing and automatically scale up/down and more. You will leave this session understanding where Neutron meets Heat and TOSCA. This talk was delivered as part of OpenStack Paris summit - 2014 - http://openstacksummitnovember2014paris.sched.org/event/2b85b682ccaf3a5961e463b61e2403f8#.VFeuG_TF8mc

Application and Network Orchestration using Heat & Tosca

Application and Network Orchestration using Heat & Tosca

Application and Network Orchestration using Heat & Tosca

Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you need Storm to integrate with your batch processing system (such as Hadoop) in a consistent manner. This session will demonstrate how to integrate Storm with an in-memory database/grid, and explore various strategies for integrating the data grid with Hadoop and Cassandra, seamlessly. By achieving smooth integration with consistent management, you will be able to easily manage all the tiers of you Big Data stack in a consistent and effective way. - See more at: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5526#sthash.FWIdqRHh.dpuf

Real-Time Big Data at In-Memory Speed, Using Storm

Real-Time Big Data at In-Memory Speed, Using Storm

Real-Time Big Data at In-Memory Speed, Using Storm

Disaster recovery on demand on the cloud

Disaster recovery on demand on the cloud

Disaster recovery on demand on the cloud

Giga spaces cloudify road map-3 (citi)

Giga spaces cloudify road map-3 (citi)

Giga spaces cloudify road map-3 (citi)

The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. In this session, you'll learn how to build your big data "database on-demand" using MongoDB, Cassandra, Solr, MySQL, or any other big data solution, as well as manage your big data application using a new open source framework called “Cloudify.” All this, on top of the OpenStack cloud.

Big Data on OpenStack

Big Data on OpenStack

Big Data on OpenStack

Building cross-region and cross could high availability into your app, a real life use case by Gigaspaces, Nati Shalom, Funder & CTO, Gigaspaces Achieving high levels of availability and disaster recovery in a cloud environment requires the implementation of patterns and practices that introduce redundancy through multi-zone, multi-region, and multi-cloud deployments. As we move towards implementing higher availability, we cannot escape the direct increase in the accidental complexity of the deployment architecture resulting from lack of cloud portability and deployment lifecycle automation. We present how high availability and disaster recovery were achieved in reality by using the Cloudify open source framework on top of AWS. This approach applies to not just AWS but also other public clouds and private cloud environments such as Eucalyptus. The resulting reference architecture provides portable PostgreSQL replication and disaster recovery as well as application tier scalability across zones, regions, and public/private clouds through a unified deployment workflow.

Avoiding Cloud Outage

Avoiding Cloud Outage

Avoiding Cloud Outage

Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face: Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs. Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity? The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way? In this session, you'll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.

Big data (reversim)

Big data (reversim)

Big data (reversim)

Title: Scaling and Managing Big Data Apps on Public Clouds Abstract: The massive computing and storage resources that are needed to support big data applications make on-demand, elastic cloud environments an ideal fit. However, managing your big data app on the cloud is no walk in the park - configuration, orchestration, H/A, auto-scaling are all quite complex when it comes to choosing the right cloud for you, whether it’s public, private or a hybrid cloud - which is where Cloudify and Eucalyptus come together. In this session, you'll learn how to deploy, manage, monitor and scale your big data apps on the open source Eucalyptus cloud platform using Cloudify, as well as easily test drive your apps locally and then migrate the workload to Amazon Web Services EC2.

Scaling and Managing Big Data Apps in the Cloud

Scaling and Managing Big Data Apps in the Cloud

Scaling and Managing Big Data Apps in the Cloud

Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face: Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs. Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity? The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way? In this session, you’ll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.

Big Data in the Cloud

Big Data in the Cloud

Big Data in the Cloud

Today's application stack is built out many popular OSS frameworks such as Cassandra, MongoDB, Scala, Play, Memcache, RabitMQ alongside the more traditional JEE stack which includes app servers such as Tomcat and JBoss. In this environment the same practices that we used to have in JEE centric world for managing and deploying our app are not relevant anymore. In this session we'll introduce a new open source framework based on Groovy for packaging your application, automating the scaling, failover, and more.

A Groovy Kind of Java (San Francisco Java User Group)

A Groovy Kind of Java (San Francisco Java User Group)

A Groovy Kind of Java (San Francisco Java User Group)

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Cloudify and terraform integration

Cloudify and terraform integration

Cloudify and terraform integration

Why NFV and Digital Transformation Projects Fail!

Why NFV and Digital Transformation Projects Fail!

Why NFV and Digital Transformation Projects Fail!

Cloudify and terraform integration

Cloudify and terraform integration

Cloudify and terraform integration

1 cloud, 2 clouds, 3 clouds, tons...

1 cloud, 2 clouds, 3 clouds, tons...

1 cloud, 2 clouds, 3 clouds, tons...

Open Stack Days israel Keynote 2017

Open Stack Days israel Keynote 2017

Open Stack Days israel Keynote 2017

Running OpenStack in Production

Running OpenStack in Production

Running OpenStack in Production

Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...

Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...

Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...

Real World Example of Orchestrating Docker, Node JS, NFV on OpenStack

Real World Example of Orchestrating Docker, Node JS, NFV on OpenStack

Real World Example of Orchestrating Docker, Node JS, NFV on OpenStack

Real World Application Orchestration Made Easy on VMware vCloud Air, vSphere ...

Real World Application Orchestration Made Easy on VMware vCloud Air, vSphere ...

Real World Application Orchestration Made Easy on VMware vCloud Air, vSphere ...

OpenStack Juno The Complete Lowdown and Tales from the Summit

OpenStack Juno The Complete Lowdown and Tales from the Summit

OpenStack Juno The Complete Lowdown and Tales from the Summit

Application and Network Orchestration using Heat & Tosca

Application and Network Orchestration using Heat & Tosca

Application and Network Orchestration using Heat & Tosca

Real-Time Big Data at In-Memory Speed, Using Storm

Real-Time Big Data at In-Memory Speed, Using Storm

Real-Time Big Data at In-Memory Speed, Using Storm

Disaster recovery on demand on the cloud

Disaster recovery on demand on the cloud

Disaster recovery on demand on the cloud

Giga spaces cloudify road map-3 (citi)

Giga spaces cloudify road map-3 (citi)

Giga spaces cloudify road map-3 (citi)

Big Data on OpenStack

Big Data on OpenStack

Big Data on OpenStack

Avoiding Cloud Outage

Avoiding Cloud Outage

Avoiding Cloud Outage

Big data (reversim)

Big data (reversim)

Big data (reversim)

Scaling and Managing Big Data Apps in the Cloud

Scaling and Managing Big Data Apps in the Cloud

Scaling and Managing Big Data Apps in the Cloud

Big Data in the Cloud

Big Data in the Cloud

Big Data in the Cloud

A Groovy Kind of Java (San Francisco Java User Group)

A Groovy Kind of Java (San Francisco Java User Group)

A Groovy Kind of Java (San Francisco Java User Group)

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How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

SynarionITSolutions

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

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How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

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2024: Domino Containers - The Next Step. News from the Domino Container commu...

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Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

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From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Artificial Intelligence Chap.5 : Uncertainty

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Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

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A Domino Admins Adventures (Engage 2024)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

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Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Application Centric DevOps

1. Application Centric Devops Orchestration, DevOps Automation & What’s in Between Nati Shalom @natishalom

2. What It Really Takes to Deploy and Manage Apps Provision Install Configure Deploy Monitor Scale

3. Quite often we end up with this..

4. Infrastructur e != App Deployment DevOps Jungle of Tools http://www.slideshare.net/DevopsCon/devops-jungle-of-tools-ran-tavory

5. Infrastructure Centric Environment Creation SW Infra. Setup & Config Code Push Monitoring & Alarming Repairing Scaling

6. App Centric - PaaS Frameworks Environment Creation SW Infra. Setup & Config Code Push Monitoring & Alarming Repairing Scaling

7. Bring App- Management and Infrastructure- Management Together http://www.allthingsdistributed.com/2013/02/aws-opsworks.html

8. Cloudify provide the equivalent of Amazon OpsWork on OpenStack App Centric Devops – the AWS way…

9. • OpenSource • Design for Enterprises from the ground up • Integrates with Chef, Puppet, OpenStack Heat* • Tightly integrates with OpenStack cloud • Built-in Portability with non OpenStack clouds Introduction to Cloudify *Coming soon

10. App Centric Devops – the Cloudify way… 1 Upload your recipe 2 Cloudify creates VMs & installs agents 3 Agents install and manage your app 4 Cloudify automates monitoring, healing and scaling

11. DevOps Automation, High Level Orchestrator CI Monitoring & Alarming CM Infrastructure API

12. So You Can Have This Environment Creation SW Infra. Setup & Config Code Push Monitoring & Alarming Repairing Scaling

Notas del editor

http://www.allthingsdistributed.com/2013/02/aws-opsworks.html
Env setup is not automated SW infra setup is good but has no startup orchestration
Env setup is not automated but with very little control, same for SW infra. Code management capabilities are great, incremental updates, devenv integration, etc. Very basic if any monitoring and alarming. Repairing is good within he boundaries of the platform (and not for the underlying cloud)Scaling support is also quite good, though mostly manual
http://www.allthingsdistributed.com/2013/02/aws-opsworks.html
Even AWS used Chef for this…
Templates to describe and drive all these processes