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 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
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
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
Measure and Increase Developer Productivity with Help of Serverless at Server...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.
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!
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 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
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
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
Measure and Increase Developer Productivity with Help of Serverless at Server...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.
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.
Measure and increase developer productivity with help of Severless by Kazulki...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.
All Change how the economics of Cloud will make you think differently about JavaSteve Poole
How far have you gotten with learning about the cloud? Got your head around platform as a service? Understand what IaaS means? Know how to spell Docker? It’s easy to focus on learning new technology, but it’s time to take a step back and look at what the technical implications are when an application is heading to the cloud. In the world of the cloud, the benefits are high but the economics (financial and technical) can be radically different. Learn about these new realities and how they can change application design, deployment, and support. Cloud technologies and their rapid adoption are creating new opportunities and challenges. Whether you’re a designer, developer, or tester, this session will help you start thinking differently about Java and the cloud.
JavaOne 2015 Devops and the Darkside CON6447Steve Poole
So you get DevOps. You like the idea and think it’s important. The trouble is that others in your team don’t. This session will help you understand how to convince your team of the benefits of DevOps. Packed with facts and figures, the presentation works through the common challenges Java teams face when moving to a DevOps model and outlines how to address them. It also shows you how to balance evangelism against pragmatism when championing DevOps in your organization. You’ll learn how others have made the transition to DevOps and understand what mistakes to avoid when doing so. Whether you need to know how to be a DevOps evangelist or simply want to understand why DevOps is important, this session is for you.
Speakers: Ning Kuang & Kundana Palagiri, Azure Compute
To learn more about Pivotal Cloud Foundry, visit http://www.pivotal.io/platform-as-a-service/pivotal-cloud-foundry.
Bringing Server Add-ons to the Cloud and Back AgainAtlassian
Ever wanted to be a fly on the wall in someone else's retrospective? Now you can! Join Jon Mort and Adam Markham from Adaptavist as they walk us through recent lessons learned from their team. Hear how ScriptRunner, Adaptavist's popular Automation add-on moved into the cloud. Learn about the parts they loved as well as challenges and frustrations they faced. This honest and open talk will be easy for any add-on developer to relate to.
Jon Mort, Head of Engineering Research and Development, Adaptavist
Adam Markham, Software Developer, Adaptavist
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.
All Change! How the new economics of Cloud will make you think differently ab...Steve Poole
Devoxxuk talk
http://cfp.devoxx.co.uk/2015/talk/AJY-8768/All_Change!_How_the_new_economics_of_Cloud_will_make_you_think_differently_about_Java
How far have you got with learning about Cloud? Got your head around Platform as a Service? Understand what IaaS means? Can spell Docker? Working in a DevOps mode? It's easy to focus on learning new technology but it's time to take a step back and look at what the technical implications are when an application is heading to the cloud. In the world of the cloud the benefits are high but the economics (financial and technical) can be radically different. Learn more about these new realities and how they can change application design, deployment and support The introduction of Cloud technologies and its rapid adoption creates new opportunities and challenges. Whether designer, developer or tester, this talk will help you to start thinking differently about Java and the Cloud
In this talk we debunk common myths and misconceptions about serverless - how cold starts works, serverless is not just about saving operational cost, think about control with responsibility, and think about vendor lock-in with the reward.
Accelerating Add-on Development From Concept to LaunchAtlassian
In this session you'll learn how Arijea uses react, redux and webpack to rapidly and reliably develop Atlassian add-ons. Dave Elkan, Co-Founder of Arijea, will detail the challenges he faced and the techniques he employs to build JIRA Software add-ons in record time.
Products covered:
JIRA Software
An introduction to Google's PRPL pattern that can be used to implement Progressive Web Applications. Delivered at MWLUG 2017 in Alexandria, VA by Keith Strickland.
Success Factors for a Mature Microservices Implementation
You're likely working actively to modernize application workloads to take advantage of public and private cloud, or at least developing a strategy to do so. Many CIOs, faced with large portfolios of existing applications, are wrestling with finding the right approach to increase innovation and update the cloud-native skills of their existing teams while continuing to provide good service for existing applications.
As longstanding partners, ECS Team and Pivotal are collaborating once again to provide insights into cloud-native development and application modernization.
The workshop addresses:
Keys to a successful cloud-native application replatforming strategy
Considerations for adopting a multi-cloud strategy
The role that microservices have in driving this adoption
Best practices for application replatforming and application modernization
At the conclusion of this workshop, you will have a better understanding of the importance of cloud-native development, hear considerations for how to adopt it moving forward, and see how Pivotal and ECS Team can support your company with this journey.
Speakers include:
Mark Carlson, Chief Technology Officer, ECS Team
Dustin Ruehle, Senior Cloud Architect, ECS Team
John Funk, Advisory Platform Architect, Pivotal
Please note that registration and breakfast will take place at Pivotal Labs Santa Monica at 8:45am with the main session starting at 10:30am at ROC Santa Monica. We hope to see you on Tuesday, April 11th in Santa Monica!
Looking to the cloud to serve Bitbucket (formerly Stash) to a horde of hungry developers? Netflix has the recipe for you! Take one part fresh open source platforms, two parts juicy deployment pipelines, and add a dash of gooey-rich custom bakes. Join this session to find out how Netflix used this unique combination of technologies to move Stash from their data center to the cloud and what they burned (yes, burned) along the way.
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.
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.
Measure and increase developer productivity with help of Severless by Kazulki...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.
All Change how the economics of Cloud will make you think differently about JavaSteve Poole
How far have you gotten with learning about the cloud? Got your head around platform as a service? Understand what IaaS means? Know how to spell Docker? It’s easy to focus on learning new technology, but it’s time to take a step back and look at what the technical implications are when an application is heading to the cloud. In the world of the cloud, the benefits are high but the economics (financial and technical) can be radically different. Learn about these new realities and how they can change application design, deployment, and support. Cloud technologies and their rapid adoption are creating new opportunities and challenges. Whether you’re a designer, developer, or tester, this session will help you start thinking differently about Java and the cloud.
JavaOne 2015 Devops and the Darkside CON6447Steve Poole
So you get DevOps. You like the idea and think it’s important. The trouble is that others in your team don’t. This session will help you understand how to convince your team of the benefits of DevOps. Packed with facts and figures, the presentation works through the common challenges Java teams face when moving to a DevOps model and outlines how to address them. It also shows you how to balance evangelism against pragmatism when championing DevOps in your organization. You’ll learn how others have made the transition to DevOps and understand what mistakes to avoid when doing so. Whether you need to know how to be a DevOps evangelist or simply want to understand why DevOps is important, this session is for you.
Speakers: Ning Kuang & Kundana Palagiri, Azure Compute
To learn more about Pivotal Cloud Foundry, visit http://www.pivotal.io/platform-as-a-service/pivotal-cloud-foundry.
Bringing Server Add-ons to the Cloud and Back AgainAtlassian
Ever wanted to be a fly on the wall in someone else's retrospective? Now you can! Join Jon Mort and Adam Markham from Adaptavist as they walk us through recent lessons learned from their team. Hear how ScriptRunner, Adaptavist's popular Automation add-on moved into the cloud. Learn about the parts they loved as well as challenges and frustrations they faced. This honest and open talk will be easy for any add-on developer to relate to.
Jon Mort, Head of Engineering Research and Development, Adaptavist
Adam Markham, Software Developer, Adaptavist
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.
All Change! How the new economics of Cloud will make you think differently ab...Steve Poole
Devoxxuk talk
http://cfp.devoxx.co.uk/2015/talk/AJY-8768/All_Change!_How_the_new_economics_of_Cloud_will_make_you_think_differently_about_Java
How far have you got with learning about Cloud? Got your head around Platform as a Service? Understand what IaaS means? Can spell Docker? Working in a DevOps mode? It's easy to focus on learning new technology but it's time to take a step back and look at what the technical implications are when an application is heading to the cloud. In the world of the cloud the benefits are high but the economics (financial and technical) can be radically different. Learn more about these new realities and how they can change application design, deployment and support The introduction of Cloud technologies and its rapid adoption creates new opportunities and challenges. Whether designer, developer or tester, this talk will help you to start thinking differently about Java and the Cloud
In this talk we debunk common myths and misconceptions about serverless - how cold starts works, serverless is not just about saving operational cost, think about control with responsibility, and think about vendor lock-in with the reward.
Accelerating Add-on Development From Concept to LaunchAtlassian
In this session you'll learn how Arijea uses react, redux and webpack to rapidly and reliably develop Atlassian add-ons. Dave Elkan, Co-Founder of Arijea, will detail the challenges he faced and the techniques he employs to build JIRA Software add-ons in record time.
Products covered:
JIRA Software
An introduction to Google's PRPL pattern that can be used to implement Progressive Web Applications. Delivered at MWLUG 2017 in Alexandria, VA by Keith Strickland.
Success Factors for a Mature Microservices Implementation
You're likely working actively to modernize application workloads to take advantage of public and private cloud, or at least developing a strategy to do so. Many CIOs, faced with large portfolios of existing applications, are wrestling with finding the right approach to increase innovation and update the cloud-native skills of their existing teams while continuing to provide good service for existing applications.
As longstanding partners, ECS Team and Pivotal are collaborating once again to provide insights into cloud-native development and application modernization.
The workshop addresses:
Keys to a successful cloud-native application replatforming strategy
Considerations for adopting a multi-cloud strategy
The role that microservices have in driving this adoption
Best practices for application replatforming and application modernization
At the conclusion of this workshop, you will have a better understanding of the importance of cloud-native development, hear considerations for how to adopt it moving forward, and see how Pivotal and ECS Team can support your company with this journey.
Speakers include:
Mark Carlson, Chief Technology Officer, ECS Team
Dustin Ruehle, Senior Cloud Architect, ECS Team
John Funk, Advisory Platform Architect, Pivotal
Please note that registration and breakfast will take place at Pivotal Labs Santa Monica at 8:45am with the main session starting at 10:30am at ROC Santa Monica. We hope to see you on Tuesday, April 11th in Santa Monica!
Looking to the cloud to serve Bitbucket (formerly Stash) to a horde of hungry developers? Netflix has the recipe for you! Take one part fresh open source platforms, two parts juicy deployment pipelines, and add a dash of gooey-rich custom bakes. Join this session to find out how Netflix used this unique combination of technologies to move Stash from their data center to the cloud and what they burned (yes, burned) along the way.
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.
Convince your boss to go Serverless at AWS User Group Tirupathi and Serverles...Vadym Kazulkin
TCO of Serverless application. How Serverless helps us to be productive, write less code and implement evolutionary architectures. How to measure productivity to see you're on track with Serverless
Measure and Increase Developer Productivity with Help of Serverless AWS Commu...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.
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.
"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)
Convince your boss to go Serverless at serverless week BrazilVadym Kazulkin
TCO of Serverless application. How Serverless helps us to be productive, write less code and implement evolutionary architectures. How to measure productivity to see you're on track with Serverless
Measure and Increase Developer Productivity with Help of Serverless at JCON 2...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.
"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)
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!
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
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!
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!
Introduction to Microsoft Azure. Covers the change to a cloud development paradigm. Motivations for the change, Pricing structures, and an exercise in IT portfolio evaluation.
RightScale Webinar: Operationalize Your Enterprise AWS Usage Through an IT Ve...RightScale
We’ve all seen the trend everywhere around us: customers want self-service. It offers them the agility they need and gives businesses the ability to scale and lower their costs. With cloud deployments, enterprises can experience similar benefits through the use of a self-service portal where internal customers can provision their own resources while Central IT maintains control and visibility. This saves both time and money.
In this webinar, learn how to empower your internal customers to provision the necessary cloud resources when they need them but also ensure that what get receive is well within IT approved guidelines. Beyond simple convenience, this methodology permits you to operationalize your AWS cloud usage to easily roll cloud into an overall IT strategy.
Architects from Amazon Web Services (AWS) and RightScale, an Advanced Technology Partner, will provide an overview of the key business and technical considerations for operationalizing your AWS cloud usage. In the second half of the webinar, our technical experts will answer your questions. Priority will be given to pre-submitted questions.
To help illustrate the effectiveness of this approach, our architects will walk you through real-world examples and the overall impact on their organizations.
Key Topics:
1. Create an IT Vending machine with consistent and reproducible processes.
2. Enable your end users while maintaining visibility and control.
3. Use cost planning and forecasting to fine-tune and understand cloud spend.
4. Discover reporting and auditing tools to ensure compliance.
5. Avoid downtime through proven HA/DR architectures.
Cloud Done Right - PaaS is the Remedy to VM HangoverMohamad Afshar
Virtualized hardware is all the rage in enterprise IT. However, is a purely virtualization-focused, Infrastructure-as-a-Service (IaaS) approach really the right one for enterprises and government? What’s becoming clear is that virtualization is but one piece of a much bigger strategy for fast, self-service deployment and ultra-efficient operations, referred to as “platform as a service” (PaaS). PaaS leverages a wider set of middleware capabilities to enable application deployment in minutes rather than days and reduces operational costs by up to 90%. This general session will compare and contrast the IaaS and PaaS approaches, discussing architectural and operational considerations for PaaS using examples of best practices. It's a must-attend session for anyone considering building a private cloud.
Where can you use serverless? How does it relate to APIs, integration and mi...Kim Clark
Serverless, aka. function-as-a-service (FaaS) is on-trend, and as with all new shiny things it is often both over and under estimated in the space of the same conversation. Where can and should it be applied, especially in relation to integration? Does it make provide a good platform for implementing APIs? What type of application would be appropriate to put on it? How does it relate to similarly elastic architectures such as microservices? If its functions are stateless, where and how do you manage state. How do you integrate to and from it? What are the benefits, and what are the limitations? This unique perspective is from the same experienced team that provided key clarifications on the comparisons between microservices, SOA and APIs.
AWS and Dynatrace: Moving your Cloud Strategy to the Next LevelDynatrace
AWS and Dynatrace: Moving your Cloud Strategy to the Next Level
On-Demand Webcast
AWS re:Invent was an exciting time for Dynatrace and we received a lot of “Wows” on our capabilities. We got to demonstrate the only AI-based, full-stack monitoring solution to thousands of AWS prospects and users. We announced our AWS Certified DevOps Competency partnership, and we introduced DAVIS, our natural-language voice interface, to thousands of attendees.
We know that many of you couldn’t attend the event in Las Vegas, so we wanted to share some of the key highlights from the show. And for those of you who were there, you may not have seen all of the benefits Dynatrace provides in the AWS ecosystem due to time constraints of sessions and the large tradeshow floor.
Listen to this 30 Minute webcast where Alois Reitbauer and Franz Karlsberger recap some of the highlights of the event, including:
How Dynatrace, as an AWS certified Migration Competency partner, uniquely supports enterprise migrations to AWS
How to achieve faster feedback and improved lead times with AWS CodePipeline and Dynatrace
An overview of the first ever VoiceOps and ChatOps interface via DAVIS, based on our AI approach to full-stack monitoring
Yesterday was 2commit the AZUG.BE place to BE. Together with AZUG.BE we hosted the session: developing a next-gen web App with ASP.NET Boilerplate framework. A session in which. NET consultant Wim van den Broeck illustrated a powerful case study. A app that optimizes the planning and reservation of operation quarters and surgeons by avoiding duplicate bookings and automatically synchronizing changes to the doctors ' workflows. Wim went deeper into the use of the ASP.NET Boilerplate framework, which offers a strong contemporary technological base and allows to develop the Web application according to the SOLID principles.
Similar to FaaS or not to FaaS. Visible and invisible benefits of the Serverless paradigma by Kazulkin JAX 2020 (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.
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 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.
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.
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 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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
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
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
4. The Value Proposition of
Serverless
But let’s talk about of Total Cost of Ownership of
the Serverless paradigm
5. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
7. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
8. Auto Scaling And Faul Tolerance
Built In
• Can you get capacity planning
and auto scaling right?
• Do you want to solve the hard problem
of fault tolerance by yourself?
9. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Do more with less
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
10. Do more with less
By heavily relying on the managed
Serverless services you
• Need fewer engineers to start
implementing your new product idea
• Can do more with the same amount of
people
11. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Do more with less
Lower technical
debt
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
13. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Do more with less
Lower technical
debt
Focus on Business
Value and Innovation
Forrest Brazeal „The Business Case For Serverless” https://www.trek10.com/blog/business-case-for-serverless
14. Focus On Business Value and
Innovation
Every organization wants exactly this!
15. TCO Full Picture
No Infrastructure
Operation and
Maintenance
Auto Scaling and
Fault Tolerance
Built in
Do more with less
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
16. Faster Time To Market
• Time To Market is the key differentiator in
today’s business!
• Ask yourself: what is core for your business
and what you can get as Commodity +(Utility)
as a Service?
21. 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 Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
22. 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 Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
23. Application lifecycle
• How much of my stack should I own
to be able to deliver business value?
• Outsource SLA, regulatory
compliance, price, and roadmap to
my service provider?
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
24. Existing
applications
• You can’t magically move
that all off to service
providers
• You can try to modernize
parts of them
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
25. 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 Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
26. FinDev Concept
Activity-based costing on a
digital operation-by-operation
basis
• Figure out features which deliver
business value comparing to their
cost
Aleksander Simovic & Mark Schwarz „FinDev and Serverless Microeconomics: Part 1”
https://aws.amazon.com/de/blogs/enterprise-strategy/findev-and-serverless-microeconomics-part-1/
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
27. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
28. Understand your
workloads
• Event-driven
• API-driven
• Batch Job
• Internal Tool
• ML/AI
• Big Data
Image: flickr.com/photos/everywhereatonce/294789504 Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
29. Lambda Layers
& Lambda
Runtime API
Door opener for use
cases like:
• Big Data
• ML/AI
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
30. A Shared File
System for Your
Lambda
Functions
Door opener for use
case like:
• ML/AI
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
31. 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
(e.g. bidding or gaming platforms)
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
32. 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
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
33. Understand your workloads
• 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
34. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
35. Understand FaaS programming model
• Every function may fail and have to
be retried
• At-least-once (event) delivery
Joe Hellerstein “The State of The serverless Art” https://medium.com/riselab/the-state-of-the-serverless-art-78a4f02951eb
Requires code idempotency
• Difficult to be guaranteed
• Shifts the complexity to
the developers
36. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
37. Understand platform
limitations
• Cold start
• Lambda with and without VPC for
each runtime
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
39. Further cold starts reduction options
• For Java language with low startup time
and high memory footprint
• Use Ahead-Of-Time-Compiler (AOT) (part of
GraalVM)
• Use frameworks like Micronaut, Quarkus or Spring
Boot which offer support for GraalVM
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
40. Lambda in VPC:
• The network interface creation happens
when Lambda function is created or its
VPC settings are updated.
• Because the network interfaces are shared
across execution environments, only a
handful of network interfaces are required
per function
• Reduced the cold start from approx. 10
seconds to below 1 second
Chris Munns: "Announcing improved VPC networking for AWS Lambda functions”
https://aws.amazon.com/de/blogs/compute/announcing-improved-vpc-networking-for-aws-lambda-functions/
41. Amazon Aurora
Serverless Data
API
as beta for
MySql and
Postgres
available
https://docs.aws.amazon.com/de_de/AmazonRDS/latest/AuroraUserGuide/data-api.html Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
42. Don‘t be scared
of cold starts
To avoid cold starts them
completely, you have to :
• Overpay
• Overprovision
Cold starts don’t really
matter if the you make
the call asynchronously
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
43. Understand platform
limitations
• Cold start
• Lambda with and without VPC for
each runtime
• Invocation duration/timeouts
• Lambda 15min
• API Gateway integration 29sec
• Max Memory
• Lambda 3GB
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
44. Understand platform
limitations
• Max concurrent invocations
• Soft limit of 500-3000 parallel
executions for all Lambdas in each
AWS account
• Max connection limit for RDS
• Use RDS-Proxy (supports RDS for
MySQL and Aurora with MySQL
compatibility)
• Use Data API for Aurora Serverless
• Use NoSQL database
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
45. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
46. The reality is…
Lambda is often just a
small percentage
of your total cost
Vadym Kazulkin, @VKazulkin
50. Provisioned vs
On-Demand
• Use On-Demand for
spiky workloads
• Use Provisioned for
constantly high
workload
Vadym Kazulkin, @VKazulkin
51. Understand your cost at scale
• Lambda
• API Gateway
• Dynamo DB capacity choices
• Logging costs
• Monitoring costs
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
52. Understand your cost at scale
• Data transfer costs
• X-Ray
• Step functions
• Caching costs (API Gateway, DAX for
Dynamo DB)
• Remote API calls
• 3rd party services price models
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
53. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
55. Tom McLaughlin Talk:
What do we do when
the server goes away?
• Monitoring & Alerting
• Chaos Engineering & Game Days
• Infrastructure as Code & Testing
• 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
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
56. Help understand constraints of AWS services &
choose the right one. Example Event Sources:
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
57. Event Sources
• SQS and SNS are
charged for requests
• Kinesis charges for
shard hours & PUT
requests
Image: https://blog.binaris.com/lambda-pricing-pitfalls/ Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
58. Event Sources
• Cost for Kinesis grows
with slower rate
• Attractive at to
operate at scale
Image: https://blog.binaris.com/lambda-pricing-pitfalls/ Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
60. Co-evolution of practices with
Serverless 1/2
• True DevOps (even DevSecOps)
• FinDev responsibilities in the teams
• Complete infrastructure automation
• Chaos Engineering
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/
61. Co-evolution of practices with
Serverless 2/2
• Each developer can get its own (AWS test)
account
• No local testing environment or only for
quick functional tests
• Testing in production
• Tied integrations with 3rd party SaaS
Michael Bryzek “What do you know about testing in production?” https://www.youtube.com/watch?v=z-ATZTUgaAo
62. 1. Application lifecycle
2. Workloads
3. Programming Model
4. Platform limitations
5. Cost at scale
6. Organizational environment
7. Platform and tooling maturity
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
63. Serverless platform and tooling maturity
• Infrastructure-as-a-Code
solutions maturity (e.g. Cloud
Formation, CDK, Terraform)
• Development environment &
framework maturity (e.g. AWS
SAM, AWS Amplify,
Serverless Framework)
Image: http://tea.solgenomics.net/anatomy_viewer/microscopy/slm82_fruit Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
64. Serverless platform and tooling maturity
• CI/CD
• Observability (Logging,
Monitoring, Tracing)
• Alerting
• Security
• Integration with 3rd party SaaS
Image: http://tea.solgenomics.net/anatomy_viewer/microscopy/slm82_fruit Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
67. Berkeley View on
Serverless Computing
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
68. Berkeley View on
Serverless Computing
• Provide low latency and high IOPS
Serverless Ephemeral Storage
• Provide Serverless Durable Storage (solved
with EFSs attached to Lambda)
• Improve Networking and Performance
• Improve Security
• Accommodate cost-performance
“A Berkeley View on Serverless Computing” https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.html
69. Further Improvement Areas for
Serverless Ecosystem 1/2
• EFS improvements
• Enable calling Lambda upon EFS Events (file created or updated)
• Integrate with AWS compliance service like AWS Config like S3
• CloudWatch improvements
• Observability (no match to Lumigo or Epsagon)
• Alarms (no match to PagerDuty, Lumigo or Epsagon)
• Make AWS ElasticSearch more Serverless
• free from managing the instance family, size and number of
instances
• free from managing the storage (EBS) size behind
70. Further Improvement Areas for
Serverless Ecosystem 2/2
• Decrease the latencies and payload size for Data API
for Aurora Serverless
• CodeCommit improvements
• not nearly comparable to GitHub and BitBucket
• X-Ray support for all Serverless services
• EventBridge
71. • Application lifecycle
• Workloads
• Programming Model
• Platform limitations
• Cost at scale
• Organizational environment
• Platform and tooling maturity
FaaS or not to FaaS
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
