A fun little presentation on why you should consider using Google App Engine for your next project (instead of serverless or managing your own microservices)!
This was presented during a talk with Google Cloud in December 2018.
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
SRE-iously! Defining the Principles, Habits, and Practices of Site Reliabilit...Tori Wieldt
The document discusses the principles, habits, and practices of site reliability engineering (SRE) at New Relic. It describes New Relic's transition from a monolithic architecture with siloed teams to a microservices architecture with 200+ services and embedded SREs on engineering teams. The goals of SREs at New Relic are to continuously improve the reliability of their platform through two main roles: "pure" SREs who build core platforms and embedded SREs who partner with engineering teams. SREs focus on three spheres: stability, reliability, and engineering.
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
In this presentation I will speak how are the SRE and DevOps, what is a reliability. Also about the reliability approach in Competitive Gaming in Wargaming and show a few cases.
How Small Team Get Ready for SRE (public version)Setyo Legowo
This document discusses how small teams can get ready for Site Reliability Engineering (SRE). It describes the challenges faced by a small engineering team at a company with around 100 employees and 10 engineers. To address issues with productivity, reliability, and deployment speed, the team implemented several initiatives including adopting SCRUM, adding automated testing, simplifying deployments, and creating easy-to-use development environments. While these changes helped, the team knows there is still work needed in areas like data center operations and establishing formal SLAs and incident management processes as the company and services grow. The presentation concludes by discussing why SRE is preferable to just DevOps and provides resources for further learning.
The Next Wave of Reliability EngineeringMichael Kehoe
In 2018, Site Reliability Engineering (SRE) will turn 15 years old. Since Google's inception of the term SRE, companies across the world have adopted a new operations mindset along with automation, deployment and monitoring principals. Most of what SRE does now is well established throughout the industry, so what is the next-wave of reliability principals and automation frameworks?
This session will dive into what the future holds for reliability engineering as a field and what will be the next areas of investment and improvement for reliability teams.
Google has highly optimized engineering processes developed over decades of building software at massive scale. They use practices like continuous integration/delivery, automated testing of all code changes, containerization, and Site Reliability Engineering. Much of Google's internal tools like Kubernetes, Tensorflow, and Borg that manage these processes are now available publicly on Google Cloud Platform. Migrating to Google Cloud allows companies to leverage the same infrastructure Google uses to build software securely and reliably at large scale.
Bjorn Rabenstein. SRE, DevOps, Google, and youIT Arena
Bjorn Rabenstein, Production Engineer at SoundCloud
SRE, DevOps, Google, and you
Site Reliability Engineering (SRE) was originally conceived internally at Google. By now, it has become public knowledge via various channels like conferences or books. But how can you apply SRE principles in your organization, given that you are not Google and cannot just blindly do everything exactly as Google does? And how does SRE relate to DevOps, which you might or might not have indulged in already? The speaker has seen both sides, with many years working as an SRE at Google and later as a Production Engineer at SoundCloud, a much smaller startup running many service using a highly innovative tech stack and a radical DevOps approach. Let’s dive into questions of culture and scale and come up with some helpful pointers how you can learn from the giant without losing you own way.
Björn Rabenstein is a Production Engineer at SoundCloud and a Prometheus developer. Previously, Björn was a Site Reliability
Engineer at Google and a number cruncher for science.
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
SRE-iously! Defining the Principles, Habits, and Practices of Site Reliabilit...Tori Wieldt
The document discusses the principles, habits, and practices of site reliability engineering (SRE) at New Relic. It describes New Relic's transition from a monolithic architecture with siloed teams to a microservices architecture with 200+ services and embedded SREs on engineering teams. The goals of SREs at New Relic are to continuously improve the reliability of their platform through two main roles: "pure" SREs who build core platforms and embedded SREs who partner with engineering teams. SREs focus on three spheres: stability, reliability, and engineering.
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
In this presentation I will speak how are the SRE and DevOps, what is a reliability. Also about the reliability approach in Competitive Gaming in Wargaming and show a few cases.
How Small Team Get Ready for SRE (public version)Setyo Legowo
This document discusses how small teams can get ready for Site Reliability Engineering (SRE). It describes the challenges faced by a small engineering team at a company with around 100 employees and 10 engineers. To address issues with productivity, reliability, and deployment speed, the team implemented several initiatives including adopting SCRUM, adding automated testing, simplifying deployments, and creating easy-to-use development environments. While these changes helped, the team knows there is still work needed in areas like data center operations and establishing formal SLAs and incident management processes as the company and services grow. The presentation concludes by discussing why SRE is preferable to just DevOps and provides resources for further learning.
The Next Wave of Reliability EngineeringMichael Kehoe
In 2018, Site Reliability Engineering (SRE) will turn 15 years old. Since Google's inception of the term SRE, companies across the world have adopted a new operations mindset along with automation, deployment and monitoring principals. Most of what SRE does now is well established throughout the industry, so what is the next-wave of reliability principals and automation frameworks?
This session will dive into what the future holds for reliability engineering as a field and what will be the next areas of investment and improvement for reliability teams.
Google has highly optimized engineering processes developed over decades of building software at massive scale. They use practices like continuous integration/delivery, automated testing of all code changes, containerization, and Site Reliability Engineering. Much of Google's internal tools like Kubernetes, Tensorflow, and Borg that manage these processes are now available publicly on Google Cloud Platform. Migrating to Google Cloud allows companies to leverage the same infrastructure Google uses to build software securely and reliably at large scale.
Bjorn Rabenstein. SRE, DevOps, Google, and youIT Arena
Bjorn Rabenstein, Production Engineer at SoundCloud
SRE, DevOps, Google, and you
Site Reliability Engineering (SRE) was originally conceived internally at Google. By now, it has become public knowledge via various channels like conferences or books. But how can you apply SRE principles in your organization, given that you are not Google and cannot just blindly do everything exactly as Google does? And how does SRE relate to DevOps, which you might or might not have indulged in already? The speaker has seen both sides, with many years working as an SRE at Google and later as a Production Engineer at SoundCloud, a much smaller startup running many service using a highly innovative tech stack and a radical DevOps approach. Let’s dive into questions of culture and scale and come up with some helpful pointers how you can learn from the giant without losing you own way.
Björn Rabenstein is a Production Engineer at SoundCloud and a Prometheus developer. Previously, Björn was a Site Reliability
Engineer at Google and a number cruncher for science.
An overview of Google's Site Reliability Engineering with a view toward possible incorporation in the IEEE P2675 DevOps security standard. (Creative Commons with credit.)
SRE-iously: Defining the Principles, Habits, and Practices of Site Reliabilit...New Relic
No matter how you define it, the Site Reliability Engineer (SRE) role is clearly expanding into more and more companies. To be effective in this new role, SREs must possess a depth of understanding of how different systems work together, how they fail, how they can be improved, and how they can best be designed and monitored.
Site Reliability Engineering: An Enterprise Adoption Story (an ITSM Academy W...ITSM Academy, Inc.
Presenter: Perry Statham
SRE Squad Leader with IBM Cloud DevOps Services
In this presentation, the IBM DevOps Services SRE team will give a brief introduction to Site Reliability Engineering, then show how they adopted its principals in their existing enterprise organization.
Site Reliability Engineering (SRE) is a set of principles, practices, and organizational constructs that seek to balance the reliability of a service with the need to continually deliver new features. An error budget is the primary construct used to help balance these seemingly competing goals.
This is an introduction to error budgets and their components: service level indicators (SLIs) and service level objectives (SLOs). We will discuss the art of creating and implementing SLOs.
Attendees will be able to:
• Describe the key concepts, namely, Error Budget, Service Level Indicator (SLIs), and Service Level Objectives (SLOs)
• Recommend actions to take when the error budget is over consumed
• Recommend actions to take when excess error budget remains
In the spirit of DevOps, Error Budgets and SLOs work best when they are agreed to in collaboration with many different constituents across the business. As such, this presentation is appropriate for:
• Product Owners and Product Managers
• Business decision makers
• Developers
• Operators
• And anyone else interested in building and operating services that deliver business and customer value.
This document provides an introduction to Site Reliability Engineering (SRE). It discusses DevOps principles and how SRE relates to and implements DevOps. Key aspects of SRE covered include guiding principles like eliminating toil, embracing risk, and measuring services through SLIs, SLOs, and error budgets. Specific SRE practices mentioned are removing toil, defining system criticalities, designing for availability, observability, chaos engineering, restricting production access, and focusing on metrics like MTTR and MTBF.
The document provides an overview of the Scaled Agile Framework (SAFe) from the perspective of security and privacy specialists. It discusses how SAFe borrows concepts from lean, agile, and DevOps principles. While SAFe incorporates security as a quality attribute, the document notes it may not provide an in-depth treatment and hybrid models could also be considered.
Today, organizations of all shapes and sizes depend on feature-packed application releases to keep end users productive and happy. In their new book, The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations, Gene Kim and his co-authors shared ways that high-performing organizations use DevOps principles to enable reliable deployments - and boring releases!
Gene Kim, CTO, DevOps researcher and co-author of the DevOps Handbook and The Phoenix Project, and Anders Wallgren, CTO of Electric Cloud shared their tips for overcoming the challenges of DevOps and Continuous Delivery at scale. During the webinar, they discussed:
- The business value of DevOps
- How to eliminate “deployment anxiety” and increase business agility
- Lessons learned from large scale DevOps transformations
- The advantages and disadvantages of practicing DevOps in large organizations
You got a couple Microservices, now what? - Adding SRE to DevOpsGonzalo Maldonado
This talk goes over the infrastructure needed to run Microservices in production by answers the following questions:
* Why do I want to run my software in Containers?
* What is a Kubernetes or Mesos?
* Am I going to need a DevOps or SRE team? What will they do?
* How will my Continuous Integration/Delivery will look like?
Manual Monitoring Slows Deployment and Introduces Risk
How often do you update your applications?
“We deploy multiple times per day” seems to be the new badge of honor for DevOps.
But what you don’t often hear about are the problems caused by process acceleration as a result of continuous integration and continuous deployment (CI/CD).
Rapid introduction of performance problems and errors
Rapid introduction of new endpoints causing monitoring issues
Lengthy root cause analysis as number of services expand
When implementing CI/CD, ANY manual intervention slows down the entire pipeline. You can’t achieve complete CI/CD without automating your monitoring processes (just like you did for integration, testing, and deployment).
The document discusses Site Reliability Engineering (SRE) at Apiary. It provides details on Apiary's SRE team size and growth over time, their focus on culture over tools, shared responsibility for the platform, monitoring everything, gradual changes through continuous delivery, and emphasis on automation, on-call processes, incident response, and learning from postmortems. The goal of SRE is to decrease errors, eliminate toil, and focus on creative engineering work that improves reliability, performance, and scalability.
To successfully implement continuous delivery in an enterprise, there are specific needs and obstacles which must be addressed. In this webinar, we’ll address the pain points that most enterprises face, and how they can be overcome.
This document provides an overview of DevOps success including:
1) High-performing IT organizations that practice DevOps are able to deploy code more frequently, have faster lead times, and higher change success rates, leading to increased reliability, productivity, and market growth.
2) Organizations should align incentives, form cross-functional teams, and automate workflows to reduce manual work and cycle times for better visibility and job satisfaction.
3) Key DevOps practices include continuous integration, version control, and continuous delivery across all technologies to reduce deployment pain and increase deployment frequency.
4) When starting a DevOps transformation, companies should establish a single source of truth, standardize processes, iterate on those processes, and
Many companies are investing heavily in automation. Good high quality automation is key as companies move towards a successful DevOps model. The problem is that automation scripts can be very brittle and tend to not cover or test the entire application. They are also very difficult and time consuming to keep up to date.
This presentation will include a demonstration of how to design, create and update automation scripts as well as their associated test data and end points.
On this webcast learn how to make automated testing a reality.
More and more companies worldwide are excited about DevOps and the many potential benefits of embarking on a DevOps transformation. The challenge many of them are having, however, is figuring out where to begin and how to scale DevOps practices over time. These challenges can be especially daunting in large enterprises. In this webinar we will discuss a maturity model for framing your transformation, then focus on analyzing your deployment pipeline and identify existing inefficiencies in software development and deployment.
Drive Continuous Delivery With Continuous TestingCA Technologies
Silos. Lack of visibility. Some agile teams… some not. Manual handoffs. Bottlenecks.
This summer, it’s time to get outside (your old processes) and take some time off (your application release cycle). Take back your weekends and spend more time by the pool. We’ll show you how to automate, orchestrate, and facilitate continuous everything – and that includes continuous testing – one of the biggest bottlenecks of all.
You’ll learn how to:
Automatically shift quality left: Orchestrate and automate testing in every phase of the SDLC with automated promotion and feedback loops
Accelerate testing in the cloud: Test web and mobile apps in parallel – achieve up to 10X improvement in testing time. Use tools of choice while optimizing every aspect of your complex, interdependent multi-application pipelines.
Get started in less than 1 hour…. and for free! Achieve truly automated, continuous delivery (including continuous testing!!!) in the cloud with CA and Sauce Labs.
Try Continuous Delivery Director free:
https://cddirector.io/#/home
Try Sauce Labs free:
https://saucelabs.com/
"My App has Fallen and Can't Get Up," GE Digital at FutureStack17 NYCNew Relic
Disha Gosalia discusses improving operational efficiency at GE Digital by focusing on availability, security, and resiliency of industrial internet of things (IIoT) systems. Some key changes discussed include building dependency charts, implementing synthetic monitors and alerts, and creating dashboards to improve visibility into the environment and applications. These efforts led to reductions in mean time to detect issues by 70% and mean time to resolve customer issues by 66%, while also increasing priority 1 defects caught proactively by 40%. The presentation emphasizes designing for supportability, having visibility into service health, planning for failures, holding teams accountable, and automating processes.
How does DevOps impact our tools? This presentation looks at how tools from development to release to monitoring fit together to deliver better for the whole team.
IBM BlueMix Presentation - Paris Meetup 17th Sept. 2014IBM France Lab
Bluemix is an open-standard, cloud-based platform for
building, managing, and running applications of all types
(web, mobile, big data, new smart devices, and so on).
Google Cloud Next '22 Recap: Serverless & Data editionDaniel Zivkovic
See what's new in #Serverless and #Data at GCP. Our guest, Guillaume Blaquiere - Stack Overflow contributor & #GCP #Developer Expert from France, covered the best #GoogleCloudNext announcements, practically demoed how to benefit from #BigQuery Remote Functions and answered many questions.
The meetup recording with TOC for easy navigation is at https://youtu.be/AuZZTwHIcdY
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
An overview of Google's Site Reliability Engineering with a view toward possible incorporation in the IEEE P2675 DevOps security standard. (Creative Commons with credit.)
SRE-iously: Defining the Principles, Habits, and Practices of Site Reliabilit...New Relic
No matter how you define it, the Site Reliability Engineer (SRE) role is clearly expanding into more and more companies. To be effective in this new role, SREs must possess a depth of understanding of how different systems work together, how they fail, how they can be improved, and how they can best be designed and monitored.
Site Reliability Engineering: An Enterprise Adoption Story (an ITSM Academy W...ITSM Academy, Inc.
Presenter: Perry Statham
SRE Squad Leader with IBM Cloud DevOps Services
In this presentation, the IBM DevOps Services SRE team will give a brief introduction to Site Reliability Engineering, then show how they adopted its principals in their existing enterprise organization.
Site Reliability Engineering (SRE) is a set of principles, practices, and organizational constructs that seek to balance the reliability of a service with the need to continually deliver new features. An error budget is the primary construct used to help balance these seemingly competing goals.
This is an introduction to error budgets and their components: service level indicators (SLIs) and service level objectives (SLOs). We will discuss the art of creating and implementing SLOs.
Attendees will be able to:
• Describe the key concepts, namely, Error Budget, Service Level Indicator (SLIs), and Service Level Objectives (SLOs)
• Recommend actions to take when the error budget is over consumed
• Recommend actions to take when excess error budget remains
In the spirit of DevOps, Error Budgets and SLOs work best when they are agreed to in collaboration with many different constituents across the business. As such, this presentation is appropriate for:
• Product Owners and Product Managers
• Business decision makers
• Developers
• Operators
• And anyone else interested in building and operating services that deliver business and customer value.
This document provides an introduction to Site Reliability Engineering (SRE). It discusses DevOps principles and how SRE relates to and implements DevOps. Key aspects of SRE covered include guiding principles like eliminating toil, embracing risk, and measuring services through SLIs, SLOs, and error budgets. Specific SRE practices mentioned are removing toil, defining system criticalities, designing for availability, observability, chaos engineering, restricting production access, and focusing on metrics like MTTR and MTBF.
The document provides an overview of the Scaled Agile Framework (SAFe) from the perspective of security and privacy specialists. It discusses how SAFe borrows concepts from lean, agile, and DevOps principles. While SAFe incorporates security as a quality attribute, the document notes it may not provide an in-depth treatment and hybrid models could also be considered.
Today, organizations of all shapes and sizes depend on feature-packed application releases to keep end users productive and happy. In their new book, The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations, Gene Kim and his co-authors shared ways that high-performing organizations use DevOps principles to enable reliable deployments - and boring releases!
Gene Kim, CTO, DevOps researcher and co-author of the DevOps Handbook and The Phoenix Project, and Anders Wallgren, CTO of Electric Cloud shared their tips for overcoming the challenges of DevOps and Continuous Delivery at scale. During the webinar, they discussed:
- The business value of DevOps
- How to eliminate “deployment anxiety” and increase business agility
- Lessons learned from large scale DevOps transformations
- The advantages and disadvantages of practicing DevOps in large organizations
You got a couple Microservices, now what? - Adding SRE to DevOpsGonzalo Maldonado
This talk goes over the infrastructure needed to run Microservices in production by answers the following questions:
* Why do I want to run my software in Containers?
* What is a Kubernetes or Mesos?
* Am I going to need a DevOps or SRE team? What will they do?
* How will my Continuous Integration/Delivery will look like?
Manual Monitoring Slows Deployment and Introduces Risk
How often do you update your applications?
“We deploy multiple times per day” seems to be the new badge of honor for DevOps.
But what you don’t often hear about are the problems caused by process acceleration as a result of continuous integration and continuous deployment (CI/CD).
Rapid introduction of performance problems and errors
Rapid introduction of new endpoints causing monitoring issues
Lengthy root cause analysis as number of services expand
When implementing CI/CD, ANY manual intervention slows down the entire pipeline. You can’t achieve complete CI/CD without automating your monitoring processes (just like you did for integration, testing, and deployment).
The document discusses Site Reliability Engineering (SRE) at Apiary. It provides details on Apiary's SRE team size and growth over time, their focus on culture over tools, shared responsibility for the platform, monitoring everything, gradual changes through continuous delivery, and emphasis on automation, on-call processes, incident response, and learning from postmortems. The goal of SRE is to decrease errors, eliminate toil, and focus on creative engineering work that improves reliability, performance, and scalability.
To successfully implement continuous delivery in an enterprise, there are specific needs and obstacles which must be addressed. In this webinar, we’ll address the pain points that most enterprises face, and how they can be overcome.
This document provides an overview of DevOps success including:
1) High-performing IT organizations that practice DevOps are able to deploy code more frequently, have faster lead times, and higher change success rates, leading to increased reliability, productivity, and market growth.
2) Organizations should align incentives, form cross-functional teams, and automate workflows to reduce manual work and cycle times for better visibility and job satisfaction.
3) Key DevOps practices include continuous integration, version control, and continuous delivery across all technologies to reduce deployment pain and increase deployment frequency.
4) When starting a DevOps transformation, companies should establish a single source of truth, standardize processes, iterate on those processes, and
Many companies are investing heavily in automation. Good high quality automation is key as companies move towards a successful DevOps model. The problem is that automation scripts can be very brittle and tend to not cover or test the entire application. They are also very difficult and time consuming to keep up to date.
This presentation will include a demonstration of how to design, create and update automation scripts as well as their associated test data and end points.
On this webcast learn how to make automated testing a reality.
More and more companies worldwide are excited about DevOps and the many potential benefits of embarking on a DevOps transformation. The challenge many of them are having, however, is figuring out where to begin and how to scale DevOps practices over time. These challenges can be especially daunting in large enterprises. In this webinar we will discuss a maturity model for framing your transformation, then focus on analyzing your deployment pipeline and identify existing inefficiencies in software development and deployment.
Drive Continuous Delivery With Continuous TestingCA Technologies
Silos. Lack of visibility. Some agile teams… some not. Manual handoffs. Bottlenecks.
This summer, it’s time to get outside (your old processes) and take some time off (your application release cycle). Take back your weekends and spend more time by the pool. We’ll show you how to automate, orchestrate, and facilitate continuous everything – and that includes continuous testing – one of the biggest bottlenecks of all.
You’ll learn how to:
Automatically shift quality left: Orchestrate and automate testing in every phase of the SDLC with automated promotion and feedback loops
Accelerate testing in the cloud: Test web and mobile apps in parallel – achieve up to 10X improvement in testing time. Use tools of choice while optimizing every aspect of your complex, interdependent multi-application pipelines.
Get started in less than 1 hour…. and for free! Achieve truly automated, continuous delivery (including continuous testing!!!) in the cloud with CA and Sauce Labs.
Try Continuous Delivery Director free:
https://cddirector.io/#/home
Try Sauce Labs free:
https://saucelabs.com/
"My App has Fallen and Can't Get Up," GE Digital at FutureStack17 NYCNew Relic
Disha Gosalia discusses improving operational efficiency at GE Digital by focusing on availability, security, and resiliency of industrial internet of things (IIoT) systems. Some key changes discussed include building dependency charts, implementing synthetic monitors and alerts, and creating dashboards to improve visibility into the environment and applications. These efforts led to reductions in mean time to detect issues by 70% and mean time to resolve customer issues by 66%, while also increasing priority 1 defects caught proactively by 40%. The presentation emphasizes designing for supportability, having visibility into service health, planning for failures, holding teams accountable, and automating processes.
How does DevOps impact our tools? This presentation looks at how tools from development to release to monitoring fit together to deliver better for the whole team.
IBM BlueMix Presentation - Paris Meetup 17th Sept. 2014IBM France Lab
Bluemix is an open-standard, cloud-based platform for
building, managing, and running applications of all types
(web, mobile, big data, new smart devices, and so on).
Google Cloud Next '22 Recap: Serverless & Data editionDaniel Zivkovic
See what's new in #Serverless and #Data at GCP. Our guest, Guillaume Blaquiere - Stack Overflow contributor & #GCP #Developer Expert from France, covered the best #GoogleCloudNext announcements, practically demoed how to benefit from #BigQuery Remote Functions and answered many questions.
The meetup recording with TOC for easy navigation is at https://youtu.be/AuZZTwHIcdY
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
The document discusses how IBM Bluemix allows developers to achieve nirvana by providing a cloud platform for rapidly building, deploying, and managing applications. Bluemix embraces Cloud Foundry as an open source Platform as a Service (PaaS) and extends it with IBM, third party, and community services. Developers are using Bluemix to quickly bring products to market at lower cost by continuously delivering new functionality and connecting existing IT investments to the cloud.
.NET Cloud-Native Bootcamp- Los AngelesVMware Tanzu
This document outlines an agenda for a .NET cloud-native bootcamp. The bootcamp will introduce practices, platforms and tools for building modern .NET applications, including microservices, Cloud Foundry, and cloud-native .NET technologies and patterns. The agenda includes sessions on microservices, Cloud Foundry, hands-on exercises, and a wrap up. Break times are scheduled between sessions.
The document summarizes a meetup organized by IBM France Lab on October 15th, 2014. It included presentations on Bluemix platform overview, the MARS project for monitoring mobile app usage, and a service presentation from Simplicité Software. The agenda covered an introduction to Bluemix, its benefits over customer-managed infrastructure, how it works with Cloud Foundry and services, why developers use it, and how to run, create, and monitor apps on the platform.
Platform as a Service (PaaS) provides a computing platform and solution stack as a service. Google App Engine is a PaaS that allows users to build and host web applications in Google's data centers. It supports languages like Java, Python, Go and PHP. Google App Engine provides services like data storage using the datastore, cloud SQL and cloud storage. It also offers services for tasks like sending mail and caching. Applications run in a secure sandbox and are isolated and independent of hardware locations. Google App Engine is suitable when users don't want server management and need scalability, unpredictable traffic, or pay-per-use pricing.
Platform as a Service (PaaS) provides a computing platform and solution stack as a service. Google App Engine is a PaaS that allows users to build and host web applications in Google's data centers. It supports languages like Java, Python, Go and PHP. Google App Engine provides services like data storage using the datastore, cloud SQL and cloud storage. It also offers services for tasks like sending mail and caching. Applications run in a secure sandbox and are isolated and independent of hardware locations. Google App Engine is suitable when users don't want server management and need scalability, unpredictable traffic, or pay-per-use pricing.
Building Cloud Native Applications with Oracle Autonomous Database.Oracle Developers
This document discusses building cloud native applications with Oracle Autonomous Database. It provides an overview of:
1) The evolution of computing and development from monolithic to cloud native applications.
2) The challenges of managing databases with microservices, and how Oracle Autonomous Database can serve as a single database for all development needs.
3) How to build, deploy, and manage cloud native applications using Oracle Cloud Infrastructure services like the Container Engine for Kubernetes, Functions, and the Autonomous Transaction Processing database.
Asp.net Web Development | SEO Expert Bangladesh LTDTasnim Jahan
Welcome to
Top 7 Benefits of Using ASP.NET for Web Applications in 2022
Since its introduction in 2002, the ASP.NET framework has grown to become one of the top platforms for software development worldwide. It was developed to make it easier for programmers to create dynamic online applications and services.
Using scripting languages like VBScript and JScript, ASP.NET creates dynamic webpages more quickly and simply. These scripting languages use HTML pages to access SQL databases and server-side objects, which automatically improves the web applications' speed performance.
ASP.NET is one of the most widely used frameworks among developers due to its enormous advantages. It is now ranked in the top 10 web frameworks as of 2021.
What features of ASP.NET, then, make it the best platform for dynamic development? To name a few, they are as follows:
Open Source Platform that is Free
Provides a Wide Range of Tools
Easy incorporation of security-focused features
Support Across Platforms
creates scalable web applications
Significant Community Support
Project Individualization
Let's investigate them.
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10 Reasons Why You Should Consider Google App Engine (GAE) for Your Next Project
1. 10 Reasons Why You Should
Consider Google App Engine
for Your Next Project
Google Cloud Relay
Dec 2018
Presented by Abeer Rahman
2. Quick Poll:
What are some of your common
challenges you regularly face
when deploying software?
3. Hi, I’m Abeer
Abeer Rahman
Tech Lead
Agile / DevOps / Site Reliability Engineering
4. A flexible, zero
ops platform for
building highly
available apps
An app-centric view of the world
● Focus on writing code and never touch a
server, cluster, or infrastructure
● Building quickly and time to market are
highly valued
● Have high availability without a complex
architecture
A quick intro to
Google App Engine
7. Reason #10
You want to be serverless,
but Cloud Functions might be too limiting
8. Cloud Functions
Mobile backend
Lightweight APIs
Webhooks
IoT
Triggering Data processing /
ETL jobs
App Engine
Mobile backend(s)
SaaS applications
REST-based API Server
IoT frontend and/or backend
workloads
Full websites using popular
frameworks
9. Arbitrary VM
images or Docker
containers
Financial data
analytics
Media rendering
Stateful storage Genomics
Not-so-ideal workloads
12. Reason #8
You get even more runtime options
using App Engine Flexible environment
if the Standard environment is too
constrained
And you still get the most of the benefits!
13. App Engine
Standard
Application instances
run in a sandbox, using
the runtime environment
of a pre-selected
supported language
App Engine
Flexible
Application instances
run within Docker
containers on Google
Compute Engine VMs
14. Standard Environment Flexible Environment
Specific versions of:
Python 2.7, Python 3.7 (beta)
Java 8, Java 7
Node.js 8 (beta)
PHP 5.5, PHP 7.2 (beta)
Go 1.6, 1.8, 1.9, and Go 1.11 (beta)
Any versions of:
Python, Java, Node.js, Go, Ruby, PHP, or .NET
And…
runs in a Docker container that includes a custom
runtime or source code written in other programming
languages.
Does not allow background process Allows background process
Can scale down to 0 instances Needs at least 1 instance
Startup time in seconds Startup time in minutes
Can’t SSH Can SSH
Can’t write to disk Can write to disk
15. Reason #7
You get infrastructure-related security
features enabled out of the box
16. Security features for Google App Engine:
App Engine Firewall rules + DDoS
Protection
App Security Scanner
17. Reason #6
You can design your applications like
microservices: modular & self-contained
18. Using
App Engine
for
Microservices
(in the same project)
Code Isolation
for each service
Multiple versions
of each service
Log isolation
per service
Reduced
performance
overhead for
service-to-service
call
Simplified request
tracing
24. Reason #4
You can simplify your deployment process.
No more heroics required to get your code into
production!
25. Do the DevOps thing
without a “DevOps team”
Deploy immediately and receive 100% of traffic:
gcloud app deploy
Deploy immediately without automatically routing all traffic to a
new version:
gcloud app deploy --version NEW_VERSION --no-promote
26. But wait, there’s more!
Deploying multiple services simultaneously:
gcloud app deploy service1/app.yaml service2/app.yaml …
Useful in a microservices landscape
27. Reason #3
You get logging, debugging capabilities
built within the integrated environments
of Google Cloud
29. App Engine with StackDriver
Trace provides insights into:
• End-to-end latency data for
requests URIs
• Round-trip RPC calls to services like
Datastore, URL Fetch, Memcache
30. Reason #2
Pay for what your app uses.
And don’t pay for anything when you
have no traffic
31. Flexible billing
Per second billing
(1 minute minimum)
App Engine applications
operate on the notion of
quotas & limits:
• Free (!) quotas
• Spending limits
• Safety limits
32. Reason #1
You don’t need to manage infrastructure
(servers, network, etc)
#LessOps
33. For deploying even the most
simplest app, traditional
infrastructure would require you to:
● Provision server and
infrastructure
● Install web and database
servers
● Stitch it all together
● Duplicate for dev, test,
and prod
And then, you have to
manage & maintain it...
● Deploy it
● Scale it
● Monitor it
35. A flexible, zero ops
platform for building
highly available apps
App Engine
Powerful built-in services
Designed for scale
Focus on your code
Popular languages & frameworks
Familiar development tools
Multiple storage options
36. Focus on code, not
managing infrastructure.
Automation
Availability
Scale
Security
37. (10) Not as constrained as pure serverless products
(9) Support for multiple languages
(8) More flexibility with App Engine Flexible environment
(7) Security features enabled out of the box
(6) Microservices-oriented capabilities
(5) Traffic splitting that allows for A/B testing
(4) Simplified your deployment process
(3) Integrated environment with logging, debugging capabilities
(2) Pay for what you use
(1) LessOps: focus on code, not the infrastructure!
10 Reasons Why You Should Consider
Google App Engine for Your Next Project
Thank you!
Abeer Rahman
Tech Lead
Agile / DevOps / Site Reliability Engineering
@abeer486
Editor's Notes
Google App Engine’s ready-to-scale capabilities has helped lots of customers deploy & scale their product in little time - allowing them to focus solely on writing software & providing value to customers while leaving scaling and operations work Google.
Why isn’t my cloud more flexible?
We should pay only for what we need with no over-provisioning
We want predictable savings we can budget, but with no penalty for optimizing
This talk has just one caveat – we’re focusing more on App Engine Standard, but most of them can be applied to app engine Flexible
Transition question:
how many of you have thought of using functions? How many use functions in production
How many of you thought of using functions, and they you went, yikes – I can’t use functions for most of my current workloads?
Yeaah, good for some stuff, but very limited
But I’ll tell you, there’s another server less product out there
Start note:
- But instead of focuing on limitations, I’m going to focus on use cases, starting with a product like Google’s Cloud Functions (similar context can be applied to AWS Lamba)
Cloud Functions:
Lightweight APIs - Compose applications from lightweight, loosely coupled bits of logic that are quick to build and that scale instantly. Your functions can be event-driven or invoked directly over HTTP/S.
Webhooks - Via a simple HTTP trigger, respond to events originating from 3rd party systems like GitHub, Slack, Stripe, or from anywhere that can send HTTP requests.
Mobile backend - Use Google’s mobile platform for app developers, Firebase, and write your mobile backend in Cloud Functions. Listen and respond to events from Firebase Analytics, Realtime Database, Authentication, and Storage.
IoT - Imagine tens or hundreds of thousands of devices streaming data into Cloud Pub/Sub, thereby launching Cloud Functions to process, transform and store data. Cloud Functions lets you do it in a way that’s completely serverless.
Data processing / ETL - Listen and respond to Cloud Storage events such as when a file is created, changed, or removed. Process images, perform video transcoding, validate and transform data, and invoke any service on the internet from your Cloud Functions.
In either case:
removes the work of managing servers, configuring software, updating frameworks, and patching operating systems.
Key note:
In these cases, lower-level infrastructure is a better bet here (like Kubernetes, Compute Engine, or even other Google Cloud Products)
And remember – it’s not just about the product, it’s also about the pros & cons of the architecture you want to drive
Key notes:
Out of the box, you get a runtime that allows you write applications in these languages
There are specific version for each of the language: Node.js, Ruby, Go, .NET, Java, Python, PHP,
All you do is write the code, and the infrastructure is taken care of
Transition question:
So what exact is App Engine Standard an App Engine Flexible?
A quick definition of each
Transition note:
You can migrate from Standard Environment to Flexible Environment
References:
https://cloud.google.com/appengine/docs/the-appengine-environments
List of differences:
https://cloud.google.com/appengine/docs/flexible/python/migrating
https://cloud.google.com/appengine/docs/flexible/python/migrating
Notes:
App Engine Firewall rules:
enables you to control access to your App Engine app through a set of rules that can either allow or deny requests from the specified ranges of IP addresses
DDoS Protection:
it’s the same one used by Google
Security Scanner:
discovers vulnerabilities by crawling your App Engine app, following all that links within the scope of your starting URLs, and attempting to exercise as many user inputs and event handlers as possible
Starting note:
Google App Engine has a number of features that are well-suited for a microservices-based application. Here are some of the concepts that can be used design when deploying your application as a microservices-based application on Google App Engine.
Code Isolation for each Service
Deployed code is completely independent between services and versions.
Isolated modules/services interaction through HTTP
Can deploy multiple microservices as separate services, previously known as modules in App Engine. These services have full isolation of code; the only way to execute code in these services is through an HTTP invocation, such as a user request or a RESTful API call. Code in one service can't directly call code in another service. Code can be deployed to services independently, and different services can be written in different languages, such as Python, Java, Go, and PHP. Autoscaling, load balancing, and machine instance types are all managed independently for services.
Multiple versions of each service
Along with rollbacks
Furthermore, each service can have multiple versions deployed simultaneously. For each service, one of these versions is the default serving version, though it is possible to directly access any deployed version of a service as each version of each service has its own address. This structure opens up myriad possibilities, including smoke testing a new version, A/B testing between different versions, and simplified roll-forward and rollback operations. The App Engine framework provides mechanisms to assist with most of these items. We'll cover these mechanisms in more detail in upcoming sections.
Log Isolation
Each service (and version) has independent logs, though they can be viewed together.
Reduced performance overhead
Services of the same project are deployed in the same datacenter, so the latency in calling one service from another by using HTTP is very low.
Simplified request tracing
Using Google Cloud Trace, you can view a request and the resulting microservice requests for services in the same project as a single composed trace. This feature can help make performance tuning easier.
References:
https://cloud.google.com/appengine/docs/standard/python/microservices-on-app-engine
References:
https://cloud.google.com/appengine/docs/standard/python/an-overview-of-app-engine
Key notes:
Each service is isolated and can have multiple version, and each version can have multiple instance
Optionally, you can deploy update or newer versions services simultaneous
Key notes:
IP Splitting
It hashes the IP address to a value between 0–999, and uses that number to route the request.
So, not necessarily geo-specific
Reasonably sticky, not permanent (e.g., user on a cell phone)
Cookie Splitting
The app looks for a HTTP request header for a cookie named GOOGAPPUID and assigns a value, Which contains a value between 0–999:
If the cookie exists, the value is used to route the request.
If there is no such cookie, the request is routed randomly.
Easier to accurately assign users to versions. The precision for traffic routing can reach as close as 0.1% to the target split.
Preferred way is: It's easier to set up an IP address split, but a cookie split is more precise
References:
https://cloud.google.com/appengine/docs/standard/java/splitting-traffic
Key notes:
Traffic migration switches the request routing between the versions within a service of your application, moving traffic from one or more versions to a single new version.
Once you’re happy, you can gradually migrate traffic
Key notes:
With just a set of simple statements we can promote our code to live
If we want to immediately deploy and receive all traffic, we use the gcloud app deploy statement
If we want to immediately but without automatically routing all the traffic to the new version
This allows us to do dark launches
References:
https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
Key notes:
In a microservices world, we can use same deployment commands for deploying and updating the multiple services of our applications
And if we mix & match the commands we can get a lot of flexibility
Integration with StackDirver's Logging & Trace APIs provide tools to search wide or deep across the stack
Poll: Raise of hands:
How many of you manage microservices? Or even some distributed applications in production?
You now know the pain of tracing through the services to see if the
Key notes:
App Engine has built in StackDirver monitoring covering both instance-level & request level metrics
All within the Google Cloud platform - you don’t have to jump around
References:
https://cloud.google.com/appengine/articles/logging#stackdriver_name_logging_name_short_and_the_standard_environment
Key notes:
Sackdriver Trace collects
end-to-end latency data for requests URIs
round-trip RPC calls to services like Datastore, URL Fetch, Memcache.
As micro-services become more popular, the cross-application tracing provided by Stackdriver Trace becomes essential in pinpointing the root cause of latency issues.
Key notes:
Instances within the standard environment have access to a daily limit of resource usage that is provided at no charge defined by a set of quotas.
Free quotas: Every application gets an amount of each resource for free. Free quotas can only be exceeded by paid applications, up to the application's spending limit or the safety limit, whichever applies first. When free applications reach their quota for a resource, they cannot use that resource until the quota is replenished. Paid apps can exceed the free quota until their spending limit is exhausted.
Spending limits: you can set the spending limit to manage application costs in the Google Cloud Platform Console in the App Engine Settings. Spending limits might be exceeded slightly as the application is disabled.
Safety limits: Safety limits are set by Google to protect the integrity of the App Engine system. These quotas ensure that no single app can over-consume resources to the detriment of other apps. If you go above these limits you'll get an error whether you are paid or free.
References:
https://cloud.google.com/appengine/quotas
https://cloud.google.com/appengine/pricing
Free quotas:
Every application gets an amount of each resource for free. Free quotas can only be exceeded by paid applications, up to the application's spending limit or the safety limit, whichever applies first.
Spending limits:
If you are the project owner and the billing administrator, you can set the spending limit to manage application costs in the Google Cloud Platform Console in the App Engine Settings. Spending limits might be exceeded slightly as the application is disabled.
Safety limits:
Safety limits are set by Google to protect the integrity of the App Engine system. These quotas ensure that no single app can over-consume resources to the detriment of other apps. If you go above these limits you'll get an error whether you are paid or free.
You don’t pay for server for the app at 2am when no one is using it
Provision server and infrastructure environments
Install web and database servers
Stitch it all together (db connection strings)
Duplicate for dev, test, and prod
Key notes:
So your “hello world” app becomes “Hello Pain”
Read per transition:
Focus on your code - Let Google worry about database administration, server configuration, sharding & load balancing.
Designed for scale - A scalable system which will automatically add more capacity as workloads increase.
Powerful built-in services - Managed services, such as Task Queues, Memcache and the Users API, let you build any application.
Familiar development tools - Use the tools you know, including Eclipse, IntellIJ, Maven, Git, Jenkins, PyCharm & more.
Popular languages & frameworks - Write applications in some of the most popular programming languages, use existing frameworks and integrate with other familiar technologies.
Multiple storage options - Choose the storage option you need: a traditional MySQL database using Cloud SQL, a schemaless NoSQL datastore, or object storage using Cloud Storage.
Automation
Infrastructure allocation, provisioning, and configuration
Availability
Automatic x-zone deployments and failovers + built-in monitoring
Scale
Focus on building your business, we’ll handle your load
Security
Apps take advantage of secure defaults
Google auto-patches runtimes
Scan for security vulnerabilities
Focus on writing code and never touch a server, cluster, or infrastructure
Build apps & services quickly and reduce time to market
Achieve high availability without a complex architecture
Sleep at night in peace and not worry about a pager going off, or 5xx errors :)