AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Domas will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (Going Serverless)Yan Cui
In this talk Yan Cui shares his experience of migrating an existing monolithic architecture for a social network to AWS Lambda, and how it empowered a small team to deliver features quickly and how they address operational concerns such as CI/CD, logging, monitoring and config management.
Serverless in production, an experience report (FullStack 2018)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in Production, an experience report (AWS UG South Wales)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (linuxing in london)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Adapting Java for the Serverless World at JUG BarcelonaVadym Kazulkin
Java is since many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for it high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily to for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring Boot and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world. I will also take the perspective of the Java developer of the AWS Cloud to show how to make use of this concepts to write perfomant Java functions with AWS Lambda
The present and future of Serverless observabilityYan Cui
As engineers, we’re empowered by advancements in cloud platforms to build ever more complex systems that can achieve amazing feats at a scale previously only possible for the elite few. The monitoring tools have evolved over the years to accommodate our growing needs with these increasingly complex systems, but the emergence of serverless technologies like AWS Lambda has shifted the landscape and broken some of the underlying assumptions that existing tools are built upon - eg. you can no longer access the underlying host to install monitoring agents/daemons, and it’s no longer feasible to use background threads to send monitoring data outside the critical path.
Furthermore, event-driven architectures has become easily accessible and widely adopted by those adopting serverless technologies, and this trend has added another layer of complexity with how we monitor and debug our systems as it involves tracing executions that flow through async invocations, and often fan’d-out and fan’d-in via various event processing patterns.
Join us in this talk as Yan Cui gives us an overview of the challenges with observing a serverless architecture (ephemerality, no access to host OS, no background thread for sending monitoring data, etc.), the tradeoffs to consider, and the state of the tooling for serverless observability.
Adopting Java for the Serverless world at Serverless Meetup ItalyVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Serverless in production, an experience report (Going Serverless)Yan Cui
In this talk Yan Cui shares his experience of migrating an existing monolithic architecture for a social network to AWS Lambda, and how it empowered a small team to deliver features quickly and how they address operational concerns such as CI/CD, logging, monitoring and config management.
Serverless in production, an experience report (FullStack 2018)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in Production, an experience report (AWS UG South Wales)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (linuxing in london)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Adapting Java for the Serverless World at JUG BarcelonaVadym Kazulkin
Java is since many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for it high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily to for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring Boot and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world. I will also take the perspective of the Java developer of the AWS Cloud to show how to make use of this concepts to write perfomant Java functions with AWS Lambda
The present and future of Serverless observabilityYan Cui
As engineers, we’re empowered by advancements in cloud platforms to build ever more complex systems that can achieve amazing feats at a scale previously only possible for the elite few. The monitoring tools have evolved over the years to accommodate our growing needs with these increasingly complex systems, but the emergence of serverless technologies like AWS Lambda has shifted the landscape and broken some of the underlying assumptions that existing tools are built upon - eg. you can no longer access the underlying host to install monitoring agents/daemons, and it’s no longer feasible to use background threads to send monitoring data outside the critical path.
Furthermore, event-driven architectures has become easily accessible and widely adopted by those adopting serverless technologies, and this trend has added another layer of complexity with how we monitor and debug our systems as it involves tracing executions that flow through async invocations, and often fan’d-out and fan’d-in via various event processing patterns.
Join us in this talk as Yan Cui gives us an overview of the challenges with observing a serverless architecture (ephemerality, no access to host OS, no background thread for sending monitoring data, etc.), the tradeoffs to consider, and the state of the tooling for serverless observability.
Adopting Java for the Serverless world at Serverless Meetup ItalyVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Priming Your Teams For Microservice Deployment to the CloudMatt Callanan
You think of a great idea for a microservice and want to ship it to production as quickly as possible. Of course you'll need to create a Git repo with a codebase that reuses libraries you share with other services. And you'll want a build and a basic test suite. You'll want to deploy it to immutable servers using infrastructure as code that dev and ops can maintain. Centralised logging, monitoring, and HipChat notifications would also be great. Of course you'll want a load balancer and a CNAME that your other microservices can hit. You'd love to have blue-green deploys and the ability to deploy updates at any time through a Continuous Delivery pipeline. Phew! How long will it take to set all this up? A couple of days? A week? A month?
What if you could do all of this within 30 minutes? And with a click of a button soon be receiving production traffic?
Matt introduces "Primer", Expedia's microservice generation and deployment platform that enables rapid experimentation in the cloud, how it's caused unprecedented rates of learning, and explain tips and tricks on how to build one yourself with practical takeaways for everyone from the startup to the enterprise.
Video: https://www.youtube.com/watch?v=Xy4EkaXyEs4
Meetup: http://www.meetup.com/Devops-Brisbane/events/225050723/
How to build observability into a serverless applicationYan Cui
Serverless introduces a number of challenges to existing tools for observability, we need to adapt our practices to fit this new paradigm. In this talk, we will discuss how we can build observability into a serverless application. We will see how you can implement log aggregation, distributed tracing and correlation IDs through both synchronous as well as asynchronous events.
Adopting Java for the Serverless world at IT TageVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...Amazon Web Services
With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.
DevOps on AWS: Accelerating Software Delivery with the AWS Developer ToolsAmazon Web Services
Learn more about the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
Adopting Java for the Serverless world at JUG HamburgVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Automating Zero-Downtime Production Cluster Upgrades for Amazon ECSMatt Callanan
Slides from CON314 "Automating Zero-Downtime Production Cluster Upgrades for Amazon ECS" - a chalk talk presented at AWS re:Invent 2017
Containers make it easy to deploy new code into production to update the functionality of a service, but what happens when you need to update the EC2 compute instances that your containers are running on? In this talk, we’ll deep dive into how to upgrade the EC2 infrastructure underlying a live production Amazon ECS cluster without affecting service availability. Matt Callanan, Engineering Manager at Expedia will walk through Expedia’s “PRISM” project that safely relocates hundreds of tasks onto new Amazon EC2 instances with zero-downtime to applications.
Matt Callanan from Expedia Australia shares their experience running hundreds of production microservices with Docker on Amazon's ECS Service and attempts to answer the question "How can we manage clusters as cattle instead of pets?"
Video: https://www.youtube.com/watch?v=XvfrLIujQsc
Meetup: www.meetup.com/Devops-Brisbane/events/231760662/
Serverless in production, an experience reportYan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
How to build a social network on serverlessYan Cui
Many people are building different workloads using serverless technologies these days, but how would a non-trivial system such as a social network look like on serverless?
In this talk Yan will discuss his journey of migrating a social network startup to serverless, and how his team was able to improve performance, scalability and feature delivery using serverless technologies.
Yan will discuss how serverless technologies such as Lambda are used to implement each part of their system, including search, push notifications, timeline, user recommendations, and business intelligence. If you're wondering how serverless can be used to solve a wide variety of challenges in your business, this is the talk for you.
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
Serverless is all the rage these days, but how did we get here and why should businesses and developer care about serverless? In this talk, we will hear about Yan's journey from running on-prem servers to EC2, to containers, and finally to serverless. We will hear about the evolution of development practices and debunk some common misconceptions about serverless. We'll also get a glimpse of how we can build new kinds of businesses on top of serverless, and why FinDev might be an even bigger game changer for businesses than DevOps.
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
Continuous Integration and Deployment Best Practices on AWSAmazon Web Services
AWS Summit 2014 Perth - Breakout 6
With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.
Presenter: Adrian White, Solutions Architect, Amazon Web Services
Serverless in production, an experience report (JeffConf)Yan Cui
In this talk Yan Cui shares his experience of migrating an existing monolithic architecture for a social network to AWS Lambda, and how it empowered a small team to deliver features quickly and how they address operational concerns such as CI/CD, logging, monitoring and config management.
Serverless in production, an experience report (London DevOps)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures? In this talk Yan and Domas will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Priming Your Teams For Microservice Deployment to the CloudMatt Callanan
You think of a great idea for a microservice and want to ship it to production as quickly as possible. Of course you'll need to create a Git repo with a codebase that reuses libraries you share with other services. And you'll want a build and a basic test suite. You'll want to deploy it to immutable servers using infrastructure as code that dev and ops can maintain. Centralised logging, monitoring, and HipChat notifications would also be great. Of course you'll want a load balancer and a CNAME that your other microservices can hit. You'd love to have blue-green deploys and the ability to deploy updates at any time through a Continuous Delivery pipeline. Phew! How long will it take to set all this up? A couple of days? A week? A month?
What if you could do all of this within 30 minutes? And with a click of a button soon be receiving production traffic?
Matt introduces "Primer", Expedia's microservice generation and deployment platform that enables rapid experimentation in the cloud, how it's caused unprecedented rates of learning, and explain tips and tricks on how to build one yourself with practical takeaways for everyone from the startup to the enterprise.
Video: https://www.youtube.com/watch?v=Xy4EkaXyEs4
Meetup: http://www.meetup.com/Devops-Brisbane/events/225050723/
How to build observability into a serverless applicationYan Cui
Serverless introduces a number of challenges to existing tools for observability, we need to adapt our practices to fit this new paradigm. In this talk, we will discuss how we can build observability into a serverless application. We will see how you can implement log aggregation, distributed tracing and correlation IDs through both synchronous as well as asynchronous events.
Adopting Java for the Serverless world at IT TageVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...Amazon Web Services
With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.
DevOps on AWS: Accelerating Software Delivery with the AWS Developer ToolsAmazon Web Services
Learn more about the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
Adopting Java for the Serverless world at JUG HamburgVadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.
Automating Zero-Downtime Production Cluster Upgrades for Amazon ECSMatt Callanan
Slides from CON314 "Automating Zero-Downtime Production Cluster Upgrades for Amazon ECS" - a chalk talk presented at AWS re:Invent 2017
Containers make it easy to deploy new code into production to update the functionality of a service, but what happens when you need to update the EC2 compute instances that your containers are running on? In this talk, we’ll deep dive into how to upgrade the EC2 infrastructure underlying a live production Amazon ECS cluster without affecting service availability. Matt Callanan, Engineering Manager at Expedia will walk through Expedia’s “PRISM” project that safely relocates hundreds of tasks onto new Amazon EC2 instances with zero-downtime to applications.
Matt Callanan from Expedia Australia shares their experience running hundreds of production microservices with Docker on Amazon's ECS Service and attempts to answer the question "How can we manage clusters as cattle instead of pets?"
Video: https://www.youtube.com/watch?v=XvfrLIujQsc
Meetup: www.meetup.com/Devops-Brisbane/events/231760662/
Serverless in production, an experience reportYan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
How to build a social network on serverlessYan Cui
Many people are building different workloads using serverless technologies these days, but how would a non-trivial system such as a social network look like on serverless?
In this talk Yan will discuss his journey of migrating a social network startup to serverless, and how his team was able to improve performance, scalability and feature delivery using serverless technologies.
Yan will discuss how serverless technologies such as Lambda are used to implement each part of their system, including search, push notifications, timeline, user recommendations, and business intelligence. If you're wondering how serverless can be used to solve a wide variety of challenges in your business, this is the talk for you.
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
DevOps, Continuous Integration and Deployment on AWS: Putting Money Back into...Amazon Web Services
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of AWS’s most advanced customers on how their organizations handle DevOps, continuous integration and deployment. Learn how these practices allow them to rapidly develop, iterate, test and deploy highly-scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services they use.
Serverless is all the rage these days, but how did we get here and why should businesses and developer care about serverless? In this talk, we will hear about Yan's journey from running on-prem servers to EC2, to containers, and finally to serverless. We will hear about the evolution of development practices and debunk some common misconceptions about serverless. We'll also get a glimpse of how we can build new kinds of businesses on top of serverless, and why FinDev might be an even bigger game changer for businesses than DevOps.
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
Continuous Integration and Deployment Best Practices on AWSAmazon Web Services
AWS Summit 2014 Perth - Breakout 6
With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.
Presenter: Adrian White, Solutions Architect, Amazon Web Services
Serverless in production, an experience report (JeffConf)Yan Cui
In this talk Yan Cui shares his experience of migrating an existing monolithic architecture for a social network to AWS Lambda, and how it empowered a small team to deliver features quickly and how they address operational concerns such as CI/CD, logging, monitoring and config management.
Serverless in production, an experience report (London DevOps)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures? In this talk Yan and Domas will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in Production, an experience report (cloudXchange)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (CoDe-Conf)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (LNUG)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production (O'Reilly Software Architecture)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (codemotion milan)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
Yan Cui - Serverless in production, an experience report - Codemotion Milan 2017Codemotion
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures? In this talk Yan will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
AWS Lambda from the trenches (Serverless London)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (Going Serverless, 28 Feb 2018)Domas Lasauskas
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Domas will discuss solutions to these challenges by drawing from their real-world experience running AWS Lambda in production and migrating an existing monolithic architecture for a social network to run on AWS Lambda.
Event: https://www.eventbrite.co.uk/e/going-serverless-tickets-41866816776
Lambda is the next stage in the evolution of the AWS platform. It allows you to build reactive, event-driven systems that are easy to deploy, update and scale. Amazon manages all the undifferentiated heavy-lifting for you so you can focus on delivering value to your customers with even greater speed and cost efficiency.
Join Yan in this talk as we take a deep dive through AWS Lambda and the Serverless framework.
We'll see how to start building reactive systems using AWS Lambda, Kinesis and API Gateway, without having to manage any servers. And, you only pay for your services when they are used. We'll discuss lessons learned, best practices and current limitations with AWS Lambda.
We'll also get to know the Serverless framework, which helps automate both deployment and versioning so that you can better focus on the things that matter to your customers.
Serverless in production, an experience report (microservices london)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (London js community)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Diana will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Learn how to use AWS services to automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps. In this session, we will provide an overview of the various AWS development and deployment services and when best to use them. We will show how to build a fully automated infrastructure and software delivery pipeline with AWS CodePipeline, AWS CodeBuild, AWS CloudFormation and AWS CodeDeploy. At the end of the session, a GitHub repository of AWS CloudFormation templates will be provided so you can quickly deploy the same pipeline to your AWS account(s).
Serverless in production, an experience report (NDC London, 31 Jan 2018)Domas Lasauskas
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Domas will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Event: https://ndc-london.com/talk/serverless-in-production-an-experience-report/
Video: https://vimeo.com/254635750
Serverless in production, an experience report (NDC London 2018)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Domas will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
How to build a social network on serverlessYan Cui
Many people are building different workloads using serverless technologies these days, but how would a non-trivial system such as a social network look like on serverless?
In this talk Yan will discuss his journey of migrating a social network startup to serverless, and how his team was able to improve performance, scalability and feature delivery using serverless technologies.
Yan will discuss how serverless technologies such as Lambda are used to implement each part of their system, including search, push notifications, timeline, user recommendations, and business intelligence. If you're wondering how serverless can be used to solve a wide variety of challenges in your business, this is the talk for you.
Serverless in production, an experience report (BuildStuff)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
Similar to Serverless in production, an experience report (IWOMM) (20)
Delivered at the Serverless Summit 2022. Learn how to design serverless systems and tip the balance of trade-offs in your favour.
To learn how to build production-grade serverless applications, check out my upcoming workshops at productionreadyserverless.com and get 15% off with the code "serverlesssummit22".
At the heart of every event-driven architecture is a conduit for messages to flow through. AWS offers many services that can act as such conduit - EventBridge, SNS, SQS, Kinesis, DynamoDB streams, MSK, IOT Core and Amazon MQ just to name a few! These services have different characteristics and trade-offs around performance, scalability and cost. Picking the right service for your workload is not always easy. In this talk, let’s talk about how to pick the right messaging service to use in your event-driven architecture and play the game of trade-offs to your advantage.
How to choose the right messaging service for your workloadYan Cui
At the heart of every event-driven architecture is a conduit for messages to flow through. AWS offers many services that can act as such conduit - EventBridge, SNS, SQS, Kinesis, DynamoDB streams, MSK, IOT Core and Amazon MQ just to name a few! These services have different characteristics and trade-offs around performance, scalability and cost. Picking the right service for your workload is not always easy. In this talk, let’s talk about how to pick the right messaging service to use in your event-driven architecture and play the game of trade-offs to your advantage.
Patterns and practices for building resilient serverless applications.pdfYan Cui
Lambda gives you multi-AZ out-of-the-box, but still, things can go wrong in production. There are region-wide outages, and performance degradation in services your function depends on can cause it to time out or error. And what if you're dealing with downstream systems that just aren't as scalable and can't handle the load you put on them? The bottom line is many things can go wrong and they often do at the worst of times. The goal of building resilient systems is not to prevent failures, but to build systems that can withstand these failures. In this talk, we will look at a number of practices and architectural patterns that can help you build more resilient serverless applications. Such as multi-region, active-active, employing DLQs and surge queues. We'll also see how we can use chaos experiments to help us identify failure modes before they manifest in production.
Serverless observability - a hero's perspectiveYan Cui
Yan Cui, an AWS Serverless Hero, will talk about the learnings from using serverless at scale.
He will cover the challenges for observability in serverless asynchronous workloads and the patterns to address those challenges, like using centralized logging, correlation IDs, tracing, lambda extensions.
How to ship customer value faster with step functionsYan Cui
Learn all about AWS Step Functions and how to use them to model business workflows and ship customer values quickly. In this session, we will talk about what is Step Functions, how to model business workflows as state machines, real-world case studies, and design patterns. By the end of this webinar, you should have a good idea of where Step Functions fit into your application and why you should use them (and why not!) to model workflows instead of building a custom solution yourself.
One of the key characteristics of serverless components is the pay-per-use pricing model. For example, with AWS Lambda, you don’t pay for the uptime of the underlying infrastructure but for the no. of invocations and how long your code actually runs for.
This important characteristic removes the need for many premature micro-optimizations as your cost is always tightly linked to usage and minimizes waste. As a result, many applications would run at a fraction of the cost if they were moved to serverless.
The pay-per-use pricing model also enables more accurate cost prediction and monitoring based on your application’s throughput. This gives rise to the notion of FinDev, where finance and development can intersect and allows optimization to be targeted to give the optimal return-on-invest on the engineering efforts.
And by building your application on serverless components, you can also leverage it as a business advantage and offer a more competitive, usage-based pricing to your customers. Which is going to be crucial at a time when businesses all around the world are affected by COVID and are looking for better efficiencies.
In this webinar, we will cover topics such as:
- How does the cost of serverless differ from serverful applications?
- How to predict and monitor cost in serverless applications?
- When should you optimize for cost?
- How can you leverage usage-based pricing as a business advantage?
Why your next serverless project should use AWS AppSyncYan Cui
In this webinar, Yan Cui and Lumigo Software Engineer Guy Moses will discuss some of the power of GraphQL and AppSync and why AppSync + Lambda + DynamoDB should be your stack of choice in 2021 and beyond!
Serverless technologies drastically simplify the task of building modern, scalable APIs in the cloud, and GraphQL makes it easy for frontend teams to consume these APIs and to iterate quickly on your product idea. Together, they are a perfect combination for a product-focused, full-stack team to deliver customer values quickly.
In this talk, see how we built a new social network mobile app in under 4 weeks using Lambda, AppSync, DynamoDB and Algolia. How we approached CI/CD, testing, authentication and lessons we learnt along the way.
Real-world serverless podcast: https://realworldserverless.com
Learn Lambda best practices: https://lambdabestpractice.com
Blog: https://theburningmonk.com
Consulting services: https://theburningmonk.com/hire-me
Production-Ready Serverless workshop: https://productionreadyserverless.com
Patterns and practices for building resilient serverless applicationsYan Cui
Lambda gives you multi-AZ out-of-the-box, but still, things can go wrong in production. There are region-wide outages, and performance degradation in services your function depends on can cause it to time out or error. And what if you're dealing with downstream systems that just aren't as scalable and can't handle the load you put on them? The bottom line is many things can go wrong and they often do at the worst of times. The goal of building resilient systems is not to prevent failures, but to build systems that can withstand these failures. In this talk, we will look at a number of practices and architectural patterns that can help you build more resilient serverless applications. Such as multi-region, active-active, employing DLQs and surge queues. We'll also see how we can use chaos experiments to help us identify failure modes before they manifest in production
How to bring chaos engineering to serverlessYan Cui
You might have heard about chaos engineering in the context of Netflix and Amazon, and how they kill EC2 servers in production at random to verify that their systems can stay up in the face of infrastructure failures. But did you know that the same ideas can be applied to serverless applications? Yes, despite not having access to the underlying servers, we can still apply principles of chaos engineering to uncover failure modes in our system (and there are plenty!) so we can build a defence against them and make our serverless applications more robust and more resilient!
Migrating existing monolith to serverless in 8 stepsYan Cui
Refactoring a monolith to serverless can be intimidating, but there are discrete steps that you can take to simplify the process. In this talk, AWS Serverless Hero Yan Cui outlines 8 steps to successfully refactor your monolith and highlight key decision points such as language and tooling choices.
Building a social network in under 4 weeks with Serverless and GraphQLYan Cui
Serverless technologies drastically simplify the task of building modern, scalable APIs in the cloud, and GraphQL makes it easy for frontend teams to consume these APIs and to iterate quickly on your product idea. Together, they are a perfect combination for a product-focused, full-stack team to deliver customer values quickly.
In this talk, see how we built a new social network mobile app in under 4 weeks using Lambda, AppSync, DynamoDB and Algolia. How we approached CI/CD, testing, authentication and lessons we learnt along the way.
Real-world serverless podcast: https://realworldserverless.com
Learn Lambda best practices: https://lambdabestpractice.com
Blog: https://theburningmonk.com
Consulting services: https://theburningmonk.com/hire-me
Production-Ready Serverless workshop: https://productionreadyserverless.com
FinDev as a business advantage in the post covid19 economyYan Cui
The impact COVID19 has had on consumer economy, ripples out to other service providers - analytics tools, etc because everyone is going to be squeezed. And the variable-cost (or pay-as-you-use) pricing model will be more appealing as companies tighten up their budgets for non-essential services/tools.
AWS has improved Lambda cold starts by leaps and bounds in the last year. But for performance-sensitive applications such as user-facing APIs, Lambda cold starts are still a thorn in one’s side, especially when working with languages such as Java and .Net Core.
In this webinar, we will dive into strategies for improving cold start latency and how to mitigate them altogether with Provisioned Concurrency, and how Lumigo helps you optimize your use of Provisioned Concurrency.
In this session, we will look at 10 common use cases for AWS Lambda such as REST APIs, WebSockets, IoT and building event-driven systems. We will also touch on some of the latest platform features such as Provisioned Concurrency, EFS integration and Lambda Destinations and when and where we should use them.
A chaos experiment a day, keeping the outage awayYan Cui
Presented at ServerlessDays Warsaw
Recording: https://youtu.be/21HprKZQczs
You might have heard about chaos engineering in the context of Netflix and Amazon, and how they kill EC2 servers in production at random to verify that their systems can stay up in the face of infrastructure failures. But did you know that the same ideas can be applied to serverless applications? Yes, despite not having access to the underlying servers, we can still apply principles of chaos engineering to uncover failure modes in our system (and there are plenty!) so we can build defence against them and make our serverless applications more robust and more resilient!
One of the most common performance issues in serverless architectures is elevated latencies from external services, such as DynamoDB, ElasticSearch or Stripe.
In this webinar, we will show you how to quickly identify and debug these problems, and some best practices for dealing with poor performing 3rd party services.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
90. is our request correct?
is the request mapping
set up correctly?is the API resources
configured correctly?
are we assuming the
correct schema?
LambdaAPI Gateway DynamoDB
is Lambda proxy
configured correctly?
is IAM policy set
up correctly?
is the table created?
what unit tests will not tell you…
91.
92. most Lambda functions are simple
have single purpose, the risk of
shipping broken software has largely
shifted to how they integrate with
external services
observation
105. end-to-end tests exercise both
the system and the process by which
it’s built and deployed
…has to be done
anyway repeatedly
during the software’s
lifetime…
149. those extra 10-20ms for
sending custom metrics
would compound when
you have microservices
and multiple APIs are
called within one slice
of user event
150. Amazon found every 100ms of latency
cost them 1% in sales.
http://bit.ly/2EXPfbA
152. console.log(“hydrating yubls from db…”);
console.log(“fetching user info from user-api”);
console.log(“MONITORING|1489795335|27.4|latency|user-api-latency”);
console.log(“MONITORING|1489795335|8|count|yubls-served”);
timestamp metric value
metric type
metric namemetrics
logs