When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
Writing less code with Serverless on AWS at OOP 2022Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Writing less code with Serverless on AWS at AWS User Group NairobiVadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Adopting Java for the Serverless world at Serverless Meetup SingaporeVadym 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.
Adopting Java for the Serverless world at Serverless Meetup New York and BostonVadym 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.
Writing less code with Serverless on AWS at FrOSCon 2021Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru an...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
Writing less code with Serverless on AWS at AWS Community Day DACH 2021Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru an...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
Writing less code with Serverless on AWS at OOP 2022Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Writing less code with Serverless on AWS at AWS User Group NairobiVadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Adopting Java for the Serverless world at Serverless Meetup SingaporeVadym 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.
Adopting Java for the Serverless world at Serverless Meetup New York and BostonVadym 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.
Writing less code with Serverless on AWS at FrOSCon 2021Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru an...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
Writing less code with Serverless on AWS at AWS Community Day DACH 2021Vadym Kazulkin
The purpose of Serverless is to focus on writing the code that delivers business value and offload undifferentiated heavy lifting to the Cloud providers or SaaS vendors of your choice. Today’s code quickly becomes tomorrow’s technical debt even if you meet the perfect decision. The less you own, the better it is from the maintainability point of view. In this talk I will go through examples of the various Serverless architectures on AWS where you glue together different Serverless managed services relying mostly on configuration, significantly reducing the amount of the code written to perform the task. Own less, build more!
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru an...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
Whizlabs webinar - Deploying Portfolio Site with AWS ServerlessDhaval Nagar
In this session, we go through the AWS Serverless eco-system and demo of how to deploy a static site using the following services.
Serverless Framework
Route53
AWS Certification Manager
S3
CloudFront
API Gateway
DynamoDB
SNS
DevOps Day at the San Francisco Loft: DevOps on AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Sam Hennessy - Solutions Architect, AWS
Measure and Increase Developer Productivity with Help of Serverless at AWS Co...Vadym Kazulkin
The goal of Serverless is to focus on writing the code that delivers business value and offload everything else to your trusted partners (like Cloud providers or SaaS vendors). You want to iterate quickly and today’s code quickly becomes tomorrow’s technical debt. In this talk we will show why Serverless adoption increases the developer productivity and how to measure it. We will also go through AWS Serverless architectures where you only glue together different Serverless managed services relying solely on configuration, minimizing the amount of the code written.
The goal of every developer is get her super cool new feature out to customers, as fast as possible, with little to no bugs and with no manual effort so she can go back to coding the next awesome one. Doing all of this takes tremendous amounts of effort to plan, coordinate and execute on a DevOps engineer. Continuous Integration coupled with Continuous Deployment aide in this endeavor. But again, those are cumbersome and can be difficult to set up. AWS has four new tools to help with this; AWS CodeDeploy, CodeCommit, CodePipeline, and CodeBuild. Each one has specialized features to help get your code to customers faster, more reliable and bug free as possible. In this presentation, we will walk through how to setup a CI/CD pipeline using those AWS tools and demonstrate how we can go from yay it compiles to a 5-star review.
Enterprises are increasingly looking for new ways to simplify and optimize their current development, orchestration, automation and deployment pipelines through the use of hybrid IT and the public cloud. In this session we will explore architecture patterns and integration approaches in the context of both new and existing AWS devops-focused services, with the goal of helping enterprises better iterate and reduce cost through the entire software development lifecycle.
"It’s not only Lambda! Economics behind Serverless" at JAX Conference in Mai ...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. But we rarey use only Lambda in our applications. Usually, we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis and Log service (Cloud Watch). Also, we store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All these services have their own price models which we have to pay attention to. Moreover, we have to consider application data transfer costs. In this talk, we will draw the complete picture about the costs in the serverless applications, look at the Total Cost of Ownership and make some recommendations about when it’s worth using serverless and when the traditional approach (EC2)
A. De Biase/C. Quatrini/M. Barsocchi - API Release Process: how to make peopl...Codemotion
We would like to suggest a sustainable delivery process that defeated the chaos caused by their usage complexity and now stakeholders, business, developers, quality assurance and users are happier. Velocity + High Quality = $$$ How can you use this approach to improve your business? What are the reasons why our nerdy world is so resistant to speed up time to market? Come with us in a nice journey through our experience in Hotels.com. Virtualization, parallelism, containers and other nice stuff for a final demo.
Microservices Architecture for MEAN Applications using Serverless AWSMitoc Group
Digital platforms are by nature resource intensive, expensive to build, and difficult to manage at scale. What if we can change this perception and help MEAN developers architect a digital platform that is low cost and low maintenance? This session describes the underlying architecture behind www.deep.mg, the microservices marketplace built by Mitoc Group and powered by AWS abstracted services like AWS Lambda, Amazon CloudFront, and Amazon DynamoDB. Eugene Istrati, the CTO of Mitoc Group, will dive deep into their approach to microservices architecture on serverless environments and demonstrate how anyone can architect AWS abstracted services to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
Microservices Architecture for Content Management Systems using AWS Lambda an...Mitoc Group
Content Management Systems are by nature resource intensive, expensive to customize, and difficult to manage at scale. What if we can change this perception and help PHP / Drupal developers architect a content platform that is high performance and low cost, high security and low maintenance? This talk will focus on 3 key topics: 1) serverless environment, 2) microservices architecture and 3) hands-on demos. We will describe a serverless solution and propose a scalable architecture that will help Drupal community to adopt cloud-native approach without huge efforts or expensive resources allocation.
Join our webinar to learn how BMC enables enterprise customers to transform their organization to a digital DevOps model. In this webinar, NICE InContact will share their story of transforming from a physical data center to a hybrid environment, including data center and cloud infrastructure. They'll talk about strategies, challenges, best practices, and navigating an acquisition. Learn how NICE InContact improved service management and capacity management as well as resolution time for incidents using BMC TrueSight and AWS DevOps solutions. Join us to learn from a peer in the enterprise space to help you plan your own IT infrastructure transformation.
"It’s not only Lambda! Economics behind Serverless" at Serverless Architectur...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. But we rarey use only Lambda in our applications. Usually, we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis and Log service (Cloud Watch). Also, we store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All these services have their own price models which we have to pay attention to. Moreover, we have to consider application data transfer costs. In this talk, we will draw the complete picture about the costs in the serverless applications, look at the Total Cost of Ownership and make some recommendations about when it’s worth using serverless and when the traditional approach (EC2)
ADF Basics and Beyond - Alfresco Devcon 2018Mario Romano
If you want to know everything about ADF its architecture, technologies and best practices you can't skip this talk. Join us also to know more about what we released in November as part of ADF 2.0 and what is our vision for the future.
FaaS or not to FaaS. Visible and invsible benefits of the Serverless paradigm...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
Whizlabs webinar - Deploying Portfolio Site with AWS ServerlessDhaval Nagar
In this session, we go through the AWS Serverless eco-system and demo of how to deploy a static site using the following services.
Serverless Framework
Route53
AWS Certification Manager
S3
CloudFront
API Gateway
DynamoDB
SNS
DevOps Day at the San Francisco Loft: DevOps on AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Sam Hennessy - Solutions Architect, AWS
Measure and Increase Developer Productivity with Help of Serverless at AWS Co...Vadym Kazulkin
The goal of Serverless is to focus on writing the code that delivers business value and offload everything else to your trusted partners (like Cloud providers or SaaS vendors). You want to iterate quickly and today’s code quickly becomes tomorrow’s technical debt. In this talk we will show why Serverless adoption increases the developer productivity and how to measure it. We will also go through AWS Serverless architectures where you only glue together different Serverless managed services relying solely on configuration, minimizing the amount of the code written.
The goal of every developer is get her super cool new feature out to customers, as fast as possible, with little to no bugs and with no manual effort so she can go back to coding the next awesome one. Doing all of this takes tremendous amounts of effort to plan, coordinate and execute on a DevOps engineer. Continuous Integration coupled with Continuous Deployment aide in this endeavor. But again, those are cumbersome and can be difficult to set up. AWS has four new tools to help with this; AWS CodeDeploy, CodeCommit, CodePipeline, and CodeBuild. Each one has specialized features to help get your code to customers faster, more reliable and bug free as possible. In this presentation, we will walk through how to setup a CI/CD pipeline using those AWS tools and demonstrate how we can go from yay it compiles to a 5-star review.
Enterprises are increasingly looking for new ways to simplify and optimize their current development, orchestration, automation and deployment pipelines through the use of hybrid IT and the public cloud. In this session we will explore architecture patterns and integration approaches in the context of both new and existing AWS devops-focused services, with the goal of helping enterprises better iterate and reduce cost through the entire software development lifecycle.
"It’s not only Lambda! Economics behind Serverless" at JAX Conference in Mai ...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. But we rarey use only Lambda in our applications. Usually, we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis and Log service (Cloud Watch). Also, we store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All these services have their own price models which we have to pay attention to. Moreover, we have to consider application data transfer costs. In this talk, we will draw the complete picture about the costs in the serverless applications, look at the Total Cost of Ownership and make some recommendations about when it’s worth using serverless and when the traditional approach (EC2)
A. De Biase/C. Quatrini/M. Barsocchi - API Release Process: how to make peopl...Codemotion
We would like to suggest a sustainable delivery process that defeated the chaos caused by their usage complexity and now stakeholders, business, developers, quality assurance and users are happier. Velocity + High Quality = $$$ How can you use this approach to improve your business? What are the reasons why our nerdy world is so resistant to speed up time to market? Come with us in a nice journey through our experience in Hotels.com. Virtualization, parallelism, containers and other nice stuff for a final demo.
Microservices Architecture for MEAN Applications using Serverless AWSMitoc Group
Digital platforms are by nature resource intensive, expensive to build, and difficult to manage at scale. What if we can change this perception and help MEAN developers architect a digital platform that is low cost and low maintenance? This session describes the underlying architecture behind www.deep.mg, the microservices marketplace built by Mitoc Group and powered by AWS abstracted services like AWS Lambda, Amazon CloudFront, and Amazon DynamoDB. Eugene Istrati, the CTO of Mitoc Group, will dive deep into their approach to microservices architecture on serverless environments and demonstrate how anyone can architect AWS abstracted services to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
Microservices Architecture for Content Management Systems using AWS Lambda an...Mitoc Group
Content Management Systems are by nature resource intensive, expensive to customize, and difficult to manage at scale. What if we can change this perception and help PHP / Drupal developers architect a content platform that is high performance and low cost, high security and low maintenance? This talk will focus on 3 key topics: 1) serverless environment, 2) microservices architecture and 3) hands-on demos. We will describe a serverless solution and propose a scalable architecture that will help Drupal community to adopt cloud-native approach without huge efforts or expensive resources allocation.
Join our webinar to learn how BMC enables enterprise customers to transform their organization to a digital DevOps model. In this webinar, NICE InContact will share their story of transforming from a physical data center to a hybrid environment, including data center and cloud infrastructure. They'll talk about strategies, challenges, best practices, and navigating an acquisition. Learn how NICE InContact improved service management and capacity management as well as resolution time for incidents using BMC TrueSight and AWS DevOps solutions. Join us to learn from a peer in the enterprise space to help you plan your own IT infrastructure transformation.
"It’s not only Lambda! Economics behind Serverless" at Serverless Architectur...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. But we rarey use only Lambda in our applications. Usually, we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis and Log service (Cloud Watch). Also, we store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All these services have their own price models which we have to pay attention to. Moreover, we have to consider application data transfer costs. In this talk, we will draw the complete picture about the costs in the serverless applications, look at the Total Cost of Ownership and make some recommendations about when it’s worth using serverless and when the traditional approach (EC2)
ADF Basics and Beyond - Alfresco Devcon 2018Mario Romano
If you want to know everything about ADF its architecture, technologies and best practices you can't skip this talk. Join us also to know more about what we released in November as part of ADF 2.0 and what is our vision for the future.
FaaS or not to FaaS. Visible and invsible benefits of the Serverless paradigm...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
hen we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
When we talk about prices, we often only talk about Lambda costs. In our applications, however, we rarely use only Lambda. Usually we have other building blocks like API Gateway, data sources like SNS, SQS or Kinesis. We also store our data either in S3 or in serverless databases like DynamoDB or recently in Aurora Serverless. All of these AWS services have their own pricing models to look out for. In this talk, we will draw a complete picture of the total cost of ownership in serverless applications and present a decision-making list for determining if and whether to rely on serverless paradigm in your project. In doing so, we look at the cost aspects as well as other aspects such as understanding application lifecycle, software architecture, platform limitations, organizational knowledge and plattform and tooling maturity. We will also discuss current challenges adopting serverless such as lack of high latency ephemeral storage, unsufficient network performance and missing security features.
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradig...Vadym Kazulkin
Serverless isn’t a silver bullet. I’ll provide decision checklist to figure out whether serverless it the right approach for your application or not which consists of understanding of your:
- Application lifecycle
- Workloads
- Platform limitations
- Cost at scale
- Organizational knowledge
I will also discuss current challenges adopting serverless:
- Lack of High Latency Ephemeral Storage
- Poor Network performance
- Missing Security Improvements
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
FaaS or not to FaaS AWS Community Day Hamburg 2019 Bannes KazulkinVadym Kazulkin
Serverless isn’t a silver bullet. I’ll provide decision checklist to figure out whether serverless it the right approach for your application or not which consists of understanding of your:
-Application lifecycle
-Workloads
-Platform limitations
-Cost at scale
-Organizational knowledge
I will also discuss current challenges adopting serverless:
-Lack of High Latency Ephemeral Storage
-Poor Network performance
-Missing Security Improvements
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.
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.
How to reduce cold starts for Java Serverless applications in AWS at InfoShar...Vadym 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 which may heavily impact the latencies of your application. But the times change: Community and AWS as a cloud providers improve things steadily for Java developers. In this talk we look at the best practices, features and possibilities AWS offers for the Java developers to reduce the cold start times like GraalVM Native Image and AWS Lambda SnapStart based on CRaC (Coordinated Restore at Checkpoint) project.
Adopting Java for the Serverless world at AWS User Group PretoriaVadym 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.
FaaS or not to FaaS. It's not a silver bullet. AWS User Group Cologne October...Vadym Kazulkin
Serverless isn’t a silver bullet. I’ll provide decision checklist to figure out whether serverless it the right approach for your application or not which consists of understanding of your:
- Application lifecycle
- Workloads
- Platform limitations
- Cost at scale
- Organizational knowledge
I will also discuss current challenges adopting serverless:
- Lack of High Latency Ephemeral Storage
- Poor Network performance
- Missing Security Improvements
Adopting Java for the Serverless world at JUG LondonVadym 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.
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.
Adopting Java for the Serverless World at JAX 2022Vadym 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.
Adopting Java for the Serverless World at VoxxedDays LuxemburgVadym 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.
Adopting Java for the Serverless World at JUG Darmstadt 2022Vadym 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.
Adopting Java for the Serverless World at JUG Bonn 2022Vadym 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.
Similar to FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradigm at AWS User Group Russia and Ukraine (20)
High performance Serverless Java on AWS at GeeCon 2024 KrakowVadym 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, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Amazon DevOps Guru for Serverless Applications at DevOpsCon 2024 LondonVadym Kazulkin
In this talk, we’ll use a standard serverless application that uses API Gateway, Lambda, DynamoDB, SQS, Step Functions (and other AWS-managed services). We'll explore how Amazon DevOps Guru recognizes operational issues and anomalies like increased latency and error rates (timeouts, throttling, and resource limits) and integrate DevOps Guru with PagerDuty to provide even better incident management. Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.
Making sense of service quotas of AWS Serverless services and how to deal wit...Vadym Kazulkin
There is a misunderstanding that everything is possible with the Serverless Services in AWS. For example, the misunderstanding that your Lambda function may scale without limitations. But each AWS service (not only Serverless) has a big list of quotas that everybody needs to be aware of, understand, and take into account during the development. In this talk, I'll explain the most important quotas (in terms of scaling, but not only that) of Serverless services like API Gateway, Lambda, DynamoDB, SQS, and Aurora Serverless and how to architect your solution with these quotas in mind.
How to reduce cold starts for Java Serverless applications in AWS at JCON Wor...Vadym 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 which may heavily impact the latencies of your application. But the times change: Community and AWS as a cloud providers improve things steadily for Java developers. In this talk we look at the best practices, features and possibilities AWS offers for the Java developers to reduce the cold start times like GraalVM Native Image and AWS Lambda SnapStart based on CRaC (Coordinated Restore at Checkpoint) project.
How to reduce cold starts for Java Serverless applications in AWS at Serverle...Vadym 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 which may heavily impact the latencies of your application. But the times change: Community and AWS as a cloud providers improve things steadily for Java developers. In this talk we look at the best practices, features and possibilities AWS offers for the Java developers to reduce the cold start times like GraalVM Native Image and AWS Lambda SnapStart based on on FirecrackerVM snapshot and CRaC (Coordinated Restore at Checkpoint) project.
Revolutionize DevOps lifecycle with Amazon CodeCatalyst and DevOps Guru at De...Vadym Kazulkin
AWS is on a journey to revolutionize DevOps using the latest technologies. In this talk I'll introduce 2 Amazon services which cover different stages of the DevOps lifecycle: CodeCatalyst and DevOps Guru.
Amazon CodeCatalyst is an integrated service for software development teams adopting continuous integration and deployment practices into their software development process. CodeCatalyst puts the tools you need all in one place. You can plan work, collaborate on code, and build, test, and deploy applications with continuous integration/continuous delivery (CI/CD) tools. You can also integrate AWS resources with your projects by connecting your AWS accounts to your CodeCatalyst space. By managing all of the stages and aspects of your application lifecycle in one tool, you can deliver software quickly and confidently.
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.
Amazon DevOps Guru for the Serverless Applications at AWS Community Day NL 2023Vadym Kazulkin
In this talk we’ll use a standard Serverless application which uses of API Gateway, Lambda, DynamoDB, SQS, Step Functions (and other AWS managed services) and explore how Amazon DevOps Guru recognizes operational issues like increased latency and error rates (timeouts, throttling and resource limits) and integrate DevOps Guru with PagerDuty for providing even better incident management.
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.
Making sense of service quotas of AWS Serverless services and how to deal wit...Vadym Kazulkin
There is a misunderstanding, that everything is possible with the Serverless Services in AWS, for example that your Lambda function may scale without limitations .
But each AWS service (not only Serverless) has a big list of quotas that everybody needs to be aware of, understand and take into account during the development.
In this talk I'll explain the most important quotas of the Serverless Services like API Gateway, Lambda, DynamoDB, SQS and Aurora Serverless and how to architect your solution with these quotas in mind.
Adopting Java for the Serverless World at Voxxed Days Bruxelles 2023Vadym 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 Image play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world. We'll also look into AWS Lambda SnapStart feature based on CRaC (Coordinated Restore at Checkpoint) project which also reduces the cold start time of Java Serverless application on AWS. We also look into the tools which help us figure out the optimal balance between Lambda memory footprint, invocation time and execution cost.
Github Copilot vs Amazon CodeWhisperer for Java developers at JCON 2023Vadym Kazulkin
In this talk I will compare 2 services Github Copilot (including Copilot X) and Amazon CodeWhisperer from the perspective of the Java developers in terms of the quality of the given recommendations for simple tasks, complex algorithms, Spring Boot and AWS development, IDE integration and pricing.
Both services are the machine learning-powered services that help improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code. Based on natural language comments, these services also automatically recommend unit test code that matches your implementation code.
AWS Lambda SnapStart: Why, How and What AWS Serverless Meetup New York Boston...Vadym Kazulkin
- Challenges of AWS Serverless applications written in Java
- Challenges and limitations of existing solutions like Graal VM Native Image
- What is AWS SnapStart and how it addresses those challenges
- Benchmarking AWS Lambda SnapStart using plain Java and also frameworks like Quarkus, Micronaut and SpringBoot
- Optimization techniques like Priming
- Current challenges and limitations of AWS Lambda SnapStart
Revolutionize DevOps with ML capabilities. Deep dive into Amazon CodeGuru and...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
Amazon DevOps Guru for the Serverless Applications at AWS Community Day Bene...Vadym Kazulkin
In this talk we’ll build a standard Serverless application which uses of API Gateway, Lambda and DynamoDB and explore how Amazon DevOps Guru recognizes operational issues like increased latency and error rates (timeouts and throttles) and integrate DevOps Guru with PagerDuty for providing even better incident management
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.
Amazon CodeGuru vs SonarQube for Java Developers at JCon 2022Vadym Kazulkin
In this talk I will compare 2 services which aim at automatically identifing critical issues, security vulnerabilities, and hard-to-find bugs during application development: Amazon CodeGuru and SonarQube from the perspective of the Java developer on AWS. Amazon CodeGuru Reviewer uses ML and automated reasoning to provide recommendations to developers on how to fix issues to improve code quality and dramatically reduce the time it takes to fix bugs before they reach customer-facing applications and result in a bad experience. SonarQube is an open-source platform for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs, code smells, and security vulnerabilities on 20+ programming languages. SonarQube offers reports on duplicated code, coding standards, unit tests, code coverage, code complexity, comments, bugs, and security vulnerabilities
Adopting Java for the Serverless World at JUG Saxony Day 2022Vadym 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.
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru an...Vadym Kazulkin
I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.
Adopting Java for the Serverless World at JUG Hessen 2022Vadym 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.
Amazon CodeGuru vs SonarQube for Java Developers at AWS DeveloperWeek Europe ...Vadym Kazulkin
In this talk I will compare 2 services which aim at automatically identifing critical issues, security vulnerabilities, and hard-to-find bugs during application development: Amazon CodeGuru and SonarQube from the perspective of the Java developer on AWS. Amazon CodeGuru Reviewer uses ML and automated reasoning to provide recommendations to developers on how to fix issues to improve code quality and dramatically reduce the time it takes to fix bugs before they reach customer-facing applications and result in a bad experience. SonarQube is an open-source platform for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs, code smells, and security vulnerabilities on 20+ programming languages. SonarQube offers reports on duplicated code, coding standards, unit tests, code coverage, code complexity, comments, bugs, and security vulnerabilities
Projects Valhalla and Loom at IT Tage 2021Vadym Kazulkin
In this presentation, we will explain the motivation, added values, challenges and current status of the Valhalla and Loom projects.
In the Valhalla project, Inline Type is introduced in Java. Inline Type is an immutable type that differs only by the state of its properties. The purpose is to reduce memory consumption and access times for such data types. Also as a part of this project Java type system will be unified so that Java will become a pure object-oriented programming language.
In the Loom project, lightweight threads are implemented in Java. The purpose is to no longer trade off between simplicity and scalability of the source code and to reconcile both.
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/
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradigm at AWS User Group Russia and Ukraine
1. FaaS or not to FaaS
Visible and invisible benefits of the
Serverless paradigm
Vadym Kazulkin, ip.labs, AWS User Groups Russia and Ukraine, 4 March 2021
2. Contact
Vadym Kazulkin
ip.labs Bonn, Germany
Co-Organizer: Java User Group Bonn and
Serverless Bonn Meetup
v.kazulkin@gmail.com
@VKazulkin
https://www.linkedin.com/in/vadymkazulkin/
https://www.iplabs.de/
4. The Value Proposition of
Serverless
Let’s talk about of Total Cost of
Ownership of the Serverless paradigm
5. Total Cost of Ownership of the Serverless paradigm
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Own less, build
more
Lower technical
debt
Faster Time to
Market
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
Focus on Business
Value and Innovation
10. Explore phase
• Quickly validate
hypotheses
• Rapidly experiment
• Run experiments as
cheaply as possible
Serverless is a perfect fit
Image: burst.shopify.com/photos/a-look-across-the-landscape-with-view-of-the-sea Vadym Kazulkin @VKazulkin , ip.labs GmbH
11. Exploit phase
• Built something that does
provide customer value
• Build it on scale
• Build a profitable product
around it
partly serverless and partly not
serverless architecture
Image: Robert Scoble via Flickr Vadym Kazulkin @VKazulkin , ip.labs GmbH
12. Application lifecycle
• How much of my stack should I own
to be able to deliver business value?
• What should I outsource to my
service provider : SLA, regulatory
compliance, price, and roadmap?
Vadym Kazulkin @VKazulkin , ip.labs GmbH
13. Existing
applications
• You can’t magically move
them to the cloud providers
(especially make your
application Serverless)
• You can try to modernize
parts of them
Vadym Kazulkin @VKazulkin , ip.labs GmbH
14. Strangler
Pattern
• Add a proxy (API
Gateway or Application
Loadbalancer), which
sits between the legacy
application and the user
• Add new services and
link it to the proxy
Marin Fowler „StrangerFigApplication” https://martinfowler.com/bliki/StranglerFigApplication.html Vadym Kazulkin @VKazulkin , ip.labs GmbH
16. Understand your
workloads
• Event-driven
• API-driven
• Batch Job
• Internal Tool
• ML/AI
• Big Data
Image: flickr.com/photos/everywhereatonce/294789504 Vadym Kazulkin @VKazulkin , ip.labs GmbH
17. Lambda Layers
& Lambda
Runtime API
Door opener for use
cases like:
• Big Data
• ML/AI
Vadym Kazulkin @VKazulkin , ip.labs GmbH
A Shared File System
for Your Lambda
Functions
Door opener for use
case like:
• ML/AI
18. Understand your workloads
• Do we need to access specialized
hardware ?
• GPU access required?
• Another RAM/CPU ratio?
• Do we need constantly high
performance?
• Response time below 100 ms
(bidding or gaming platforms)
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
19. Understand your workloads
• Do we need high throughput ?
• Lambda‘s network bandwidth is limited
(an order of magnitude lower than a
single modern SSD) shared between all
functions packed on the same VM
• Do functions need to communicate with
each other?
• functions are not directly network
accessible, they must communicate via
an intermediary service
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
22. Understand Service
Quotas 1/2
• Max parallel executions of all
Lambdas in each AWS Account per
Region
• Soft limit of 500-3000 parallel
• API Gateway throttle limit
• 1000 requests per second
• Invocation duration & timeouts
• Lambda 15min
• API Gateway integration 29sec
Vadym Kazulkin @VKazulkin , ip.labs GmbH
James Beswick: Operating Lambda: Application design and Service Quotas
https://aws.amazon.com/blogs/compute/operating-lambda-application-design-and-service-quotas-part-1/
23. Understand Service
Quotas 2/2
• Payload limit
• API Gateway 10 Mb
• Lambda 6 Mb
• SQS 256 Kb
• Max Memory assigned to Lambda
• 10GB
Vadym Kazulkin @VKazulkin , ip.labs GmbH
30. Tom McLaughlin Talk:
What do we do when
the server goes away?
• Observability (Logging,
Monitoring, Tracing, & Alerting
• Chaos Engineering & Game Days
• Help understand constraints
of AWS services & choose the right
one
Tom McLaughlin „What do we do when the server goes away”
https://speakerdeck.com/tmclaugh/serverless-devops-what-do-we-do-when-the-server-goes-away
Charity Majors „The Future of Ops Careers” https://thenewstack.io/the-future-of-ops-careers Vadym Kazulkin @VKazulkin , ip.labs GmbH
31. Help understand constraints of AWS services &
choose the right one. Example Event Sources:
Vadym Kazulkin @VKazulkin , ip.labs GmbH
32. Co-evolution of practices with
Serverless 1/2
• True DevOps
• Complete infrastructure automation
• Chaos Engineering
• FinDev responsibilities in the teams
Sheen Brisals “Why the ‘WHY’ matters more than the ‘WHAT’ in Serverless!”
https://medium.com/lego-engineering/why-the-why-matters-more-than-the-what-in-serverless-2ef56c397962
DevOps Topologies: https://web.devopstopologies.com/
33. Co-evolution of practices with
Serverless 2/2
• Each team or even developer can have its
own (AWS test) account per feature or service
• Only minimal local testing (quick functional
tests)
• Adopt “testing in production”
Michael Bryzek “What do you know about testing in production?” https://www.youtube.com/watch?v=z-ATZTUgaAo
