We change a monolithic system only when we have no other choice. Traditional enterprise systems are tightly-coupled; all-in-one, all-or-nothing, difficult to scale, difficult to understand and difficult to maintain.
Rather than swiftly capture opportunity, we ponder if it’s really worth it—is it worth upsetting the delicate balance of the house of cards we call our enterprise system? Often the opportunity quickly disappears, captured by a faster company. Some people have started calling this “Getting Ubered”.
So what can you do about it? Talking about Microservices is one thing, but how can your organization start taking action to address this issue?
In this webinar by battle-hardened Enterprise Advocate, Kevin Webber, we walk through the 6 key concepts to understand as a guide for taking action:
1. Domain Driven Design (DDD)
2. Asynchronous messaging
3. API management
4. Dependency management
5. CQRS & event sourcing
6. Transactions & ordering
Reactive Platform has what you need to breath new life into your legacy system with a new Microservices-based approach.
Lightbend Training for Scala, Akka, Play Framework and Apache SparkLightbend
Having a team adopt new technologies and approaches to software development is a daunting task. New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly. Lightbend (formerly Typesafe) has a suite of training classes to help you adopt whatever components of the Lightbend Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.
In this webinar, we will discuss the philosophies and structures of Lightbend's training materials for Scala, Akka, Play Framework, and Spark.
Nine Neins - where Java EE will never take youMarkus Eisele
Virtual JUG Session: http://www.meetup.com/virtualJUG/events/232052100/
With Microservices taking the software industry by storm, classical Enterprises are forced to re-think what they’ve been doing for almost a decade. It’s not the first time, that technology shocked the well-oiled machine to it’s core. We’ve seen software design paradigms changing over time and also project management methodologies evolving. Old hands might see this as another wave that will gently find it’s way to the shore of daily business. But this time it looks like the influence is bigger than anything we’ve seen before. And the interesting part is, that microservices aren’t new from the core. Talking about compartmentalization and introducing modules belongs to the core skills of architects. Our industry also learned about how to couple services and build them around organizational capabilities.
The really new part in microservices based architectures is the way how truly independent services are distributed and connected back together. Building an individual service is easy with all technologies. Building a system out of many is the real challenge because it introduces us to the problem space of distributed systems. And the difference to classical, centralized infrastructures couldn’t be bigger. There are very little concepts from the old world which still fit into a modern architecture.
And there are more differences between Java EE and distributed and reactive systems. For example, APIs are inherently synchronous, so most Java EE app servers have to scale by adding thread pools as so many things are blocking on I/O (remote JDBC calls, JTA calls, JNDI look ups, even JMS has a lot of synchronous parts). As we know adding thread pools doesn't get you too far in terms of scalability.
This talk is going to explore the nine most important differences between classical middleware and distributed, reactive microservices architectures and explains in which cases the distributed approach takes you, where Java EE never would.
Reactive Streams 1.0.0 is now live, and so are our implementations in Akka Streams 1.0 and Slick 3.0.
Reactive Streams is an engineering collaboration between heavy hitters in the area of streaming data on the JVM. With the Reactive Streams Special Interest Group, we set out to standardize a common ground for achieving statically-typed, high-performance, low latency, asynchronous streams of data with built-in non-blocking back pressure—with the goal of creating a vibrant ecosystem of interoperating implementations, and with a vision of one day making it into a future version of Java.
Akka (recent winner of “Most Innovative Open Source Tech in 2015”) is a toolkit for building message-driven applications. With Akka Streams 1.0, Akka has incorporated a graphical DSL for composing data streams, an execution model that decouples the stream’s staged computation—it’s “blueprint”—from its execution (allowing for actor-based, single-threaded and fully distributed and clustered execution), type safe stream composition, an implementation of the Reactive Streaming specification that enables back-pressure, and more than 20 predefined stream “processing stages” that provide common streaming transformations that developers can tap into (for splitting streams, transforming streams, merging streams, and more).
Slick is a relational database query and access library for Scala that enables loose-coupling, minimal configuration requirements and abstraction of the complexities of connecting with relational databases. With Slick 3.0, Slick now supports the Reactive Streams API for providing asynchronous stream processing with non-blocking back-pressure. Slick 3.0 also allows elegant mapping across multiple data types, static verification and type inference for embedded SQL statements, compile-time error discovery, and JDBC support for interoperability with all existing drivers.
Microservices, Monoliths, SOA and How We Got HereLightbend
The Enterprise Architect’s Intro to Microservices - Part 1 of 3
**Find upcoming webinar details here: https://www.lightbend.com/community#filter:webinar**
If you’re tired of battling a monolithic enterprise system that’s difficult to scale and maintain––and even harder to understand––then this webinar series is for you. In these three expert sessions, we go over the details of why a microservice-based architecture that consists of small, independent services is far more flexible than the traditional all-in-one systems that continue to dominate today’s enterprise landscape.
In Part 1, Enterprise Advocate Kevin Webber will review a bit of history of application development, from the early days of monoliths and SOA to the emergence of Microservice architectures. We will review the drawbacks of heritage architectures and how the principles of Reactive can help you build isolated services that are scalable, resilient to failure, and combine with other services to form a cohesive whole.
In the next two webinars, we go deeper into the characteristics of Reactive Microservices, and the considerations how to build complete systems, presented by Lightbend CTO and Akka creator, Jonas Bonér.
When you need to react quickly to competitive threats, but your existing architecture is anything but nimble, what do you do?
In this presentation, you will hear the story of how Walmart Canada revitalized its aging architecture with a microservices model built for speed and performance - that efficiently leveraged its JVM infrastructure - to achieve major e-commerce success in just 12 months:
Conversions up 20%
Mobile orders up 98%
No downtime during Black Friday or Boxing Day
This webinar is based off Kevin Webber’s highly successful Gartner session, Lessons Learned: Revitalizing Walmart's Aging Architecture For Web Scale, and will include added content.
Is your organization committed to the power of the Java platform but stuck in the Java language? Do you spend your time wishing you could use Scala at work, but don’t see how you can get it approved?
There are good reasons to push for it! Scala is a popular language with Java developers because of its expressiveness and lack of boilerplate code. It allows you to focus on the problem rather than the ceremony required by Java. Yet, businesses are often reluctant to move to Scala, citing concerns about availability of developers and risks of working in a new language.
Learn strategies for bringing Scala into your organization, including using it in non-production code, integrating Scala into a Java application, and easing your fellow programmers into functional programming. See how to use Scala for new development while maintaining your investment in existing Java code. Hear stories of how other organizations have done this and succeeded. You’ll leave knowing how you can move to Scala without risking your job or the success of your projects.
Benefits Of The Actor Model For Cloud Computing: A Pragmatic Overview For Jav...Lightbend
As enterprise development teams increase the time they spend using cloud computing, many are challenged by a move from a scale-up (monolithic) to a scale-out (distributed) architecture. Reactive system development and microservices are two evolving answers that architects are embracing, but making them work well at scale calls for a departure from the traditional approach of object-oriented programming models and defensive programming through try-catch, which is now being replaced by a highly-resilient supervision model and a "let it crash" philosophy.
In this webinar for Architects, guest speaker Jeffrey Hammond, Forrester Vice-President and Principal Analyst joins Jonas Bonér, CTO/Co-founder of Lightbend and creator of Akka, the actor-based, message-driven runtime for the JVM, to discuss one emerging programming pattern that’s gaining popularity with teams developing for the cloud––the Actor model. They will discuss some history, why the Actor model is a better fit for large, scale-out systems and microservices delivery, the types of workloads using it today, and how to implement an Actor-based system in your existing Java environment.
Lightbend Training for Scala, Akka, Play Framework and Apache SparkLightbend
Having a team adopt new technologies and approaches to software development is a daunting task. New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly. Lightbend (formerly Typesafe) has a suite of training classes to help you adopt whatever components of the Lightbend Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.
In this webinar, we will discuss the philosophies and structures of Lightbend's training materials for Scala, Akka, Play Framework, and Spark.
Nine Neins - where Java EE will never take youMarkus Eisele
Virtual JUG Session: http://www.meetup.com/virtualJUG/events/232052100/
With Microservices taking the software industry by storm, classical Enterprises are forced to re-think what they’ve been doing for almost a decade. It’s not the first time, that technology shocked the well-oiled machine to it’s core. We’ve seen software design paradigms changing over time and also project management methodologies evolving. Old hands might see this as another wave that will gently find it’s way to the shore of daily business. But this time it looks like the influence is bigger than anything we’ve seen before. And the interesting part is, that microservices aren’t new from the core. Talking about compartmentalization and introducing modules belongs to the core skills of architects. Our industry also learned about how to couple services and build them around organizational capabilities.
The really new part in microservices based architectures is the way how truly independent services are distributed and connected back together. Building an individual service is easy with all technologies. Building a system out of many is the real challenge because it introduces us to the problem space of distributed systems. And the difference to classical, centralized infrastructures couldn’t be bigger. There are very little concepts from the old world which still fit into a modern architecture.
And there are more differences between Java EE and distributed and reactive systems. For example, APIs are inherently synchronous, so most Java EE app servers have to scale by adding thread pools as so many things are blocking on I/O (remote JDBC calls, JTA calls, JNDI look ups, even JMS has a lot of synchronous parts). As we know adding thread pools doesn't get you too far in terms of scalability.
This talk is going to explore the nine most important differences between classical middleware and distributed, reactive microservices architectures and explains in which cases the distributed approach takes you, where Java EE never would.
Reactive Streams 1.0.0 is now live, and so are our implementations in Akka Streams 1.0 and Slick 3.0.
Reactive Streams is an engineering collaboration between heavy hitters in the area of streaming data on the JVM. With the Reactive Streams Special Interest Group, we set out to standardize a common ground for achieving statically-typed, high-performance, low latency, asynchronous streams of data with built-in non-blocking back pressure—with the goal of creating a vibrant ecosystem of interoperating implementations, and with a vision of one day making it into a future version of Java.
Akka (recent winner of “Most Innovative Open Source Tech in 2015”) is a toolkit for building message-driven applications. With Akka Streams 1.0, Akka has incorporated a graphical DSL for composing data streams, an execution model that decouples the stream’s staged computation—it’s “blueprint”—from its execution (allowing for actor-based, single-threaded and fully distributed and clustered execution), type safe stream composition, an implementation of the Reactive Streaming specification that enables back-pressure, and more than 20 predefined stream “processing stages” that provide common streaming transformations that developers can tap into (for splitting streams, transforming streams, merging streams, and more).
Slick is a relational database query and access library for Scala that enables loose-coupling, minimal configuration requirements and abstraction of the complexities of connecting with relational databases. With Slick 3.0, Slick now supports the Reactive Streams API for providing asynchronous stream processing with non-blocking back-pressure. Slick 3.0 also allows elegant mapping across multiple data types, static verification and type inference for embedded SQL statements, compile-time error discovery, and JDBC support for interoperability with all existing drivers.
Microservices, Monoliths, SOA and How We Got HereLightbend
The Enterprise Architect’s Intro to Microservices - Part 1 of 3
**Find upcoming webinar details here: https://www.lightbend.com/community#filter:webinar**
If you’re tired of battling a monolithic enterprise system that’s difficult to scale and maintain––and even harder to understand––then this webinar series is for you. In these three expert sessions, we go over the details of why a microservice-based architecture that consists of small, independent services is far more flexible than the traditional all-in-one systems that continue to dominate today’s enterprise landscape.
In Part 1, Enterprise Advocate Kevin Webber will review a bit of history of application development, from the early days of monoliths and SOA to the emergence of Microservice architectures. We will review the drawbacks of heritage architectures and how the principles of Reactive can help you build isolated services that are scalable, resilient to failure, and combine with other services to form a cohesive whole.
In the next two webinars, we go deeper into the characteristics of Reactive Microservices, and the considerations how to build complete systems, presented by Lightbend CTO and Akka creator, Jonas Bonér.
When you need to react quickly to competitive threats, but your existing architecture is anything but nimble, what do you do?
In this presentation, you will hear the story of how Walmart Canada revitalized its aging architecture with a microservices model built for speed and performance - that efficiently leveraged its JVM infrastructure - to achieve major e-commerce success in just 12 months:
Conversions up 20%
Mobile orders up 98%
No downtime during Black Friday or Boxing Day
This webinar is based off Kevin Webber’s highly successful Gartner session, Lessons Learned: Revitalizing Walmart's Aging Architecture For Web Scale, and will include added content.
Is your organization committed to the power of the Java platform but stuck in the Java language? Do you spend your time wishing you could use Scala at work, but don’t see how you can get it approved?
There are good reasons to push for it! Scala is a popular language with Java developers because of its expressiveness and lack of boilerplate code. It allows you to focus on the problem rather than the ceremony required by Java. Yet, businesses are often reluctant to move to Scala, citing concerns about availability of developers and risks of working in a new language.
Learn strategies for bringing Scala into your organization, including using it in non-production code, integrating Scala into a Java application, and easing your fellow programmers into functional programming. See how to use Scala for new development while maintaining your investment in existing Java code. Hear stories of how other organizations have done this and succeeded. You’ll leave knowing how you can move to Scala without risking your job or the success of your projects.
Benefits Of The Actor Model For Cloud Computing: A Pragmatic Overview For Jav...Lightbend
As enterprise development teams increase the time they spend using cloud computing, many are challenged by a move from a scale-up (monolithic) to a scale-out (distributed) architecture. Reactive system development and microservices are two evolving answers that architects are embracing, but making them work well at scale calls for a departure from the traditional approach of object-oriented programming models and defensive programming through try-catch, which is now being replaced by a highly-resilient supervision model and a "let it crash" philosophy.
In this webinar for Architects, guest speaker Jeffrey Hammond, Forrester Vice-President and Principal Analyst joins Jonas Bonér, CTO/Co-founder of Lightbend and creator of Akka, the actor-based, message-driven runtime for the JVM, to discuss one emerging programming pattern that’s gaining popularity with teams developing for the cloud––the Actor model. They will discuss some history, why the Actor model is a better fit for large, scale-out systems and microservices delivery, the types of workloads using it today, and how to implement an Actor-based system in your existing Java environment.
The Future of Services: Building Asynchronous, Resilient and Elastic SystemsLightbend
In this talk by Jamie Allen, noted author, speaker and Senior Director of Global Solutions Architects at Lightbend, we will focus on how to build elastic, resilient service-based applications that can handle tremendous amounts of data in real time, and to introduce the new Lightbend framework for Microservices-based applications called "Lagom."
A general overview of Reactive programming, including the history of Reactive application development and why this paradigm is the right fit for developing modern software. Explores examples from JavaScript, Scala, Erlang, and Akka.
Digital Transformation with Kubernetes, Containers, and MicroservicesLightbend
See the full presentation here: https://www.lightbend.com/blog/digital-transformation-kubernetes-containers-microservices
In this talk by David Ogren, Principal Enterprise Architect at Lightbend, we draw from experiences helping our clients successfully create, migrate to, and manage cloud-native system architectures.
Part 2: What you should know about Elasticity, Scalability and Location Transparency in Reactive systems
In the second of three webinars with live Q/A, we look into how organizations with Reactive systems are able to adaptively scale in an elastic, infrastructure-efficient way, and the role that location transparency plays in distributed Reactive systems. Reactive Streams contributor and deputy CTO at Typesafe, Inc., Viktor Klang reviews what you should know about:
How Reactive systems enable near-linear scalability in order to increase performance proportionally to the allocation of resources, avoiding the constraints of bottlenecks or synchronization points within the system
How elasticity builds upon scalability in Reactive systems to automatically adjust the throughput of varying demand when resources are added or removed proportionally and dynamically at runtime.
The role of location transparency in distributed computing (in systems running on a single node or on a cluster) and how of decoupling runtime instances from their references can embrace network constraints like partial failure, network splits, dropped messages and more.
In the third and final webinar in the series with Jonas Bonér, we go over resiliency, failures vs errors, isolation (and containment), delegation and replication in Reactive systems.
How would ESBs look like, if they were done today.Markus Eisele
Looking past former hype topics such as enterprise application integration, ESBs, and SOA, the fact is that the need for reliable integration solutions that are manageable and scalable is growing. More devices and datasources, combined with new and upcoming use cases and exciting wearables in a cloudified and heterogeneous infrastructure, require more bits and pieces than just a central ESB with some rules and point-to-point connections. What would that look like? And how can we keep the resultant solutions manageable? Attend this session to find out.
URP? Excuse You! The Three Metrics You Have to Know confluent
(Todd Palino, LinkedIn) Kafka Summit SF 2018
What do you really know about how to monitor a Kafka cluster for problems? Is your most reliable monitoring your users telling you there’s something broken? Are you capturing more metrics than the actual data being produced? Sure, we all know how to monitor disk and network, but when it comes to the state of the brokers, many of us are still unsure of which metrics we should be watching, and what their patterns mean for the state of the cluster. Kafka has hundreds of measurements, from the high-level numbers that are often meaningless to the per-partition metrics that stack up by the thousands as our data grows.
We will thoroughly explore three key monitoring concepts in the broker, that will leave you an expert in identifying problems with the least amount of pain:
-Under-replicated Partitions: The mother of all metrics
-Request Latencies: Why your users complain
-Thread pool utilization: How could 80% be a problem?
We will also discuss the necessity of availability monitoring and how to use it to get a true picture of what your users see, before they come beating down your door!
THEFT-PROOF JAVA EE - SECURING YOUR JAVA EE APPLICATIONSMarkus Eisele
Security in applications is a never-ending story. Most of the knowledge about how to build secure applications is derived from knowledge and experience. And we've all done the same mistakes every Java EE developer does over and over again. But how to solve the real business requirements behind access and authorization with Java EE? Can I have a 15k rights matrix? Does that perform? How to secure the transport layer? How does session binding works? Can I implement 2-Factor-Authentication? And what about social integrations? This talk outlines the key capabilities of the Java EE platform and introduces the audience to additional frameworks and concepts which do help by implementing all kinds of security requirements in Java EE based applications.
The Road Most Traveled: A Kafka Story | Heikki Nousiainen, AivenHostedbyConfluent
When moving to a cloud native architecture Moogsoft knew they needed more scale than Rabbit could provide. Moogsoft moved into Kafka which is known for quick writing and driving heavy event driven workloads on top of niceties such as replayability. Choosing the tool was easy, finding a vendor that ticked all their boxes was not. They needed to ensure scalability, upgradability, builds via existing IAC pipelines, and observability via existing tools. When Moogsoft found Aiven, they were impressed with their offering and ability to scale on demand. During this presentation we will explore how Moogsoft used Aiven for Kafka to manage and scale their data in the cloud.
Integrating Apache Kafka and Elastic Using the Connect Frameworkconfluent
As a streaming platform, Apache Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and excels at processing streams of real-time events. Kafka provides reliable, millisecond delivery for connecting downstream systems with real-time data.
In this talk, we will show how easy it is to leverage Kafka and the Elasticsearch connector to keep your indices populated with the latest data from the rest of your enterprise, as it changes.
Control and monitor_microservices_with_microprofileRudy De Busscher
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
The goal of MicroProfile is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.
However, some of the MicroProfile implementations are completely different 'servers', like the KumuluzEE server. So how can you migrate easily from your favorite Java EE server to a MicroProfile implementation?
This session shows you an overview of what MicroProfile.IO is and how it relates to Java EE. It then demonstrates with a few examples how you can adjust your Java EE application to incorporate some of the MicroProfile.IO specifications and how you can transform your Java EE application to a MicroProfile.IO one using Thorntail, Payara Micro, and KumuluzEE.
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
How can you make different pieces of your unit of work consistent in the distributed setup of your micro-service application?
You associate the term transaction probably with a database, but the data source can be anything including a database in the micro-service world.
The MicroProfile Long Running Actions specification is based on sagas and the OASIS LRA transaction model specification. It defines the framework to guarantee the eventual consistency requirement using compensating actions for example.
This session will explain you the challenges and concepts of the MP LRA framework.
The Reactive Principles: Eight Tenets For Building Cloud Native ApplicationsLightbend
In this presentation by Jonas Bonér, creator of Akka and founder/CTO of Lightbend, we review a set of eight Reactive Principles that enable the design and implementation of Cloud Native applications–applications that are highly concurrent, distributed, performant, scalable, and resilient, while at the same time conserving resources when deploying, operating, and maintaining them.
Enterprise Development Trends 2016 - Cloud, Container and Microservices Insig...Lightbend
In the past, infrastructure was left to operations teams. Today, it’s JVM developers themselves being brought into the DevOps tent based on the new characteristics of the modern enterprise application, as well as major innovations in the infrastructure running it. Lightbend surveyed 2,151 global respondents working on the JVM to discover:
Correlations between development trends and IT infrastructure trends
How organizations at the forefront of digital transformation are modernizing their applications
Real production usage break-downs of today’s most buzzed about emerging technologies
The survey gathered responses from a diverse range of companies, with 20 percent of respondents hailing from companies with more than 5,000 employees (large organizations), 28 percent from companies with 200-5,000 employees (medium sized organizations) and 52 percent from companies with fewer than 200 employees.
Distributed Systems Done Right: Why Java Enterprises Are Embracing The Actor ...Lightbend
Most likely, your job is heavily focused on helping your organization modernize for the digital era. As the days of purely Object-Oriented Programming and related frameworks come to a close, enterprises migrating to distributed, cloud infrastructures are embracing a different approach: the Actor Model.
When it comes to distributed computing, the Actor Model is the great-grandparent of it all.
Created by Carl Hewitt in 1973, Forrester Research notes, “the Actor model is seeing renewed interest as cloud concurrency challenges grow.”
Yet even if you understand the Actor Model and used some of the toolkits for it (e.g. Akka and Erlang), how do you easily explain the concept to your team, colleagues and managers? Where do you start?
In this webinar, Hugh McKee, Global Solutions Architect at Lightbend, shows you how Actors behave and interact as humans do when it comes to communicating, and how these similar behavioral patterns provide basic intuition when designing Reactive systems. Actors allow your teams to focus on an application’s business logic rather than on low-level protocols, accelerating time-to-market while keeping your infrastructure costs low.
Our goal is twofold: provide you with a comprehensive review of the Actor Model, and give you the resources you need to help others learn why enterprises like Walmart, Intel, Samsung, IBM, Norwegian Cruise Lines and HSBC are committed production users of Akka, the JVM-based toolkit built on the Actor Model.
In this webinar, you’ll learn:
*Why actor-based systems are one of the foundational technologies for creating microservices architecture (MSA)
*How Actors delegate work by creating other Actors in a supervisor-to-worker relationship
*How Actors manage requests and scale horizontally in large systems
*The difference between traditional systems and actor-based systems
*How an Actor system forms clusters when the flow of work exceeds a system’s capacity to process it
*Why failure detection and failure recovery is an architectural feature of Actor systems
*An example of using Actors to build an Internet of Things (IoT) application
Visit Lightbend.com/blog for more goodness.
The Future of Services: Building Asynchronous, Resilient and Elastic SystemsLightbend
In this talk by Jamie Allen, noted author, speaker and Senior Director of Global Solutions Architects at Lightbend, we will focus on how to build elastic, resilient service-based applications that can handle tremendous amounts of data in real time, and to introduce the new Lightbend framework for Microservices-based applications called "Lagom."
A general overview of Reactive programming, including the history of Reactive application development and why this paradigm is the right fit for developing modern software. Explores examples from JavaScript, Scala, Erlang, and Akka.
Digital Transformation with Kubernetes, Containers, and MicroservicesLightbend
See the full presentation here: https://www.lightbend.com/blog/digital-transformation-kubernetes-containers-microservices
In this talk by David Ogren, Principal Enterprise Architect at Lightbend, we draw from experiences helping our clients successfully create, migrate to, and manage cloud-native system architectures.
Part 2: What you should know about Elasticity, Scalability and Location Transparency in Reactive systems
In the second of three webinars with live Q/A, we look into how organizations with Reactive systems are able to adaptively scale in an elastic, infrastructure-efficient way, and the role that location transparency plays in distributed Reactive systems. Reactive Streams contributor and deputy CTO at Typesafe, Inc., Viktor Klang reviews what you should know about:
How Reactive systems enable near-linear scalability in order to increase performance proportionally to the allocation of resources, avoiding the constraints of bottlenecks or synchronization points within the system
How elasticity builds upon scalability in Reactive systems to automatically adjust the throughput of varying demand when resources are added or removed proportionally and dynamically at runtime.
The role of location transparency in distributed computing (in systems running on a single node or on a cluster) and how of decoupling runtime instances from their references can embrace network constraints like partial failure, network splits, dropped messages and more.
In the third and final webinar in the series with Jonas Bonér, we go over resiliency, failures vs errors, isolation (and containment), delegation and replication in Reactive systems.
How would ESBs look like, if they were done today.Markus Eisele
Looking past former hype topics such as enterprise application integration, ESBs, and SOA, the fact is that the need for reliable integration solutions that are manageable and scalable is growing. More devices and datasources, combined with new and upcoming use cases and exciting wearables in a cloudified and heterogeneous infrastructure, require more bits and pieces than just a central ESB with some rules and point-to-point connections. What would that look like? And how can we keep the resultant solutions manageable? Attend this session to find out.
URP? Excuse You! The Three Metrics You Have to Know confluent
(Todd Palino, LinkedIn) Kafka Summit SF 2018
What do you really know about how to monitor a Kafka cluster for problems? Is your most reliable monitoring your users telling you there’s something broken? Are you capturing more metrics than the actual data being produced? Sure, we all know how to monitor disk and network, but when it comes to the state of the brokers, many of us are still unsure of which metrics we should be watching, and what their patterns mean for the state of the cluster. Kafka has hundreds of measurements, from the high-level numbers that are often meaningless to the per-partition metrics that stack up by the thousands as our data grows.
We will thoroughly explore three key monitoring concepts in the broker, that will leave you an expert in identifying problems with the least amount of pain:
-Under-replicated Partitions: The mother of all metrics
-Request Latencies: Why your users complain
-Thread pool utilization: How could 80% be a problem?
We will also discuss the necessity of availability monitoring and how to use it to get a true picture of what your users see, before they come beating down your door!
THEFT-PROOF JAVA EE - SECURING YOUR JAVA EE APPLICATIONSMarkus Eisele
Security in applications is a never-ending story. Most of the knowledge about how to build secure applications is derived from knowledge and experience. And we've all done the same mistakes every Java EE developer does over and over again. But how to solve the real business requirements behind access and authorization with Java EE? Can I have a 15k rights matrix? Does that perform? How to secure the transport layer? How does session binding works? Can I implement 2-Factor-Authentication? And what about social integrations? This talk outlines the key capabilities of the Java EE platform and introduces the audience to additional frameworks and concepts which do help by implementing all kinds of security requirements in Java EE based applications.
The Road Most Traveled: A Kafka Story | Heikki Nousiainen, AivenHostedbyConfluent
When moving to a cloud native architecture Moogsoft knew they needed more scale than Rabbit could provide. Moogsoft moved into Kafka which is known for quick writing and driving heavy event driven workloads on top of niceties such as replayability. Choosing the tool was easy, finding a vendor that ticked all their boxes was not. They needed to ensure scalability, upgradability, builds via existing IAC pipelines, and observability via existing tools. When Moogsoft found Aiven, they were impressed with their offering and ability to scale on demand. During this presentation we will explore how Moogsoft used Aiven for Kafka to manage and scale their data in the cloud.
Integrating Apache Kafka and Elastic Using the Connect Frameworkconfluent
As a streaming platform, Apache Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and excels at processing streams of real-time events. Kafka provides reliable, millisecond delivery for connecting downstream systems with real-time data.
In this talk, we will show how easy it is to leverage Kafka and the Elasticsearch connector to keep your indices populated with the latest data from the rest of your enterprise, as it changes.
Control and monitor_microservices_with_microprofileRudy De Busscher
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
The goal of MicroProfile is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.
However, some of the MicroProfile implementations are completely different 'servers', like the KumuluzEE server. So how can you migrate easily from your favorite Java EE server to a MicroProfile implementation?
This session shows you an overview of what MicroProfile.IO is and how it relates to Java EE. It then demonstrates with a few examples how you can adjust your Java EE application to incorporate some of the MicroProfile.IO specifications and how you can transform your Java EE application to a MicroProfile.IO one using Thorntail, Payara Micro, and KumuluzEE.
Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
How can you make different pieces of your unit of work consistent in the distributed setup of your micro-service application?
You associate the term transaction probably with a database, but the data source can be anything including a database in the micro-service world.
The MicroProfile Long Running Actions specification is based on sagas and the OASIS LRA transaction model specification. It defines the framework to guarantee the eventual consistency requirement using compensating actions for example.
This session will explain you the challenges and concepts of the MP LRA framework.
The Reactive Principles: Eight Tenets For Building Cloud Native ApplicationsLightbend
In this presentation by Jonas Bonér, creator of Akka and founder/CTO of Lightbend, we review a set of eight Reactive Principles that enable the design and implementation of Cloud Native applications–applications that are highly concurrent, distributed, performant, scalable, and resilient, while at the same time conserving resources when deploying, operating, and maintaining them.
Enterprise Development Trends 2016 - Cloud, Container and Microservices Insig...Lightbend
In the past, infrastructure was left to operations teams. Today, it’s JVM developers themselves being brought into the DevOps tent based on the new characteristics of the modern enterprise application, as well as major innovations in the infrastructure running it. Lightbend surveyed 2,151 global respondents working on the JVM to discover:
Correlations between development trends and IT infrastructure trends
How organizations at the forefront of digital transformation are modernizing their applications
Real production usage break-downs of today’s most buzzed about emerging technologies
The survey gathered responses from a diverse range of companies, with 20 percent of respondents hailing from companies with more than 5,000 employees (large organizations), 28 percent from companies with 200-5,000 employees (medium sized organizations) and 52 percent from companies with fewer than 200 employees.
Distributed Systems Done Right: Why Java Enterprises Are Embracing The Actor ...Lightbend
Most likely, your job is heavily focused on helping your organization modernize for the digital era. As the days of purely Object-Oriented Programming and related frameworks come to a close, enterprises migrating to distributed, cloud infrastructures are embracing a different approach: the Actor Model.
When it comes to distributed computing, the Actor Model is the great-grandparent of it all.
Created by Carl Hewitt in 1973, Forrester Research notes, “the Actor model is seeing renewed interest as cloud concurrency challenges grow.”
Yet even if you understand the Actor Model and used some of the toolkits for it (e.g. Akka and Erlang), how do you easily explain the concept to your team, colleagues and managers? Where do you start?
In this webinar, Hugh McKee, Global Solutions Architect at Lightbend, shows you how Actors behave and interact as humans do when it comes to communicating, and how these similar behavioral patterns provide basic intuition when designing Reactive systems. Actors allow your teams to focus on an application’s business logic rather than on low-level protocols, accelerating time-to-market while keeping your infrastructure costs low.
Our goal is twofold: provide you with a comprehensive review of the Actor Model, and give you the resources you need to help others learn why enterprises like Walmart, Intel, Samsung, IBM, Norwegian Cruise Lines and HSBC are committed production users of Akka, the JVM-based toolkit built on the Actor Model.
In this webinar, you’ll learn:
*Why actor-based systems are one of the foundational technologies for creating microservices architecture (MSA)
*How Actors delegate work by creating other Actors in a supervisor-to-worker relationship
*How Actors manage requests and scale horizontally in large systems
*The difference between traditional systems and actor-based systems
*How an Actor system forms clusters when the flow of work exceeds a system’s capacity to process it
*Why failure detection and failure recovery is an architectural feature of Actor systems
*An example of using Actors to build an Internet of Things (IoT) application
Visit Lightbend.com/blog for more goodness.
Understanding Akka Streams, Back Pressure, and Asynchronous ArchitecturesLightbend
The term 'streams' has been getting pretty overloaded recently–it's hard to know where to best use different technologies with streams in the name. In this talk by noted hAkker Konrad Malawski, we'll disambiguate what streams are and what they aren't, taking a deeper look into Akka Streams (the implementation) and Reactive Streams (the standard).
You'll be introduced to a number of real life scenarios where applying back-pressure helps to keep your systems fast and healthy at the same time. While the focus is mainly on the Akka Streams implementation, the general principles apply to any kind of asynchronous, message-driven architectures.
DLJCJUG 2015: The Seven Deadly Sins of MicroservicesDaniel Bryant
All is not completely rosy in microservice-land. It is often a sign of an architectural approach’s maturity that in addition to the emergence of well-established principles and practices, that anti-patterns also begin to be identified and classified. In this talk we introduce seven deadly sins that if left unchecked could easily ruin your next microservices project...
This talk will take a tour of some of the nastiest anti-patterns in microservices, giving you the tools to not only avoid but also slay these demons before they tie up your project in their own special brand of hell. Topics covered include: Pride - selfishly ignoring the new requirements for testing; Envy - introducing inappropriate intimacy within services by creating a shared domain model; Wrath - failing to deal with the inevitable bad things that occur within a distributed system; Sloth - composing services in a lazy fashion, which ultimately leads to the creation of a “Distributed Monolith”; and Lust - embracing the latest and greatest technology without evaluating the operational impact incurred by these choices.
Technologies Referenced: Akka, Typesafe Reactive Platform
Technical Level: Introductory
Audience: Senior Developers, Architects
Presenter: Konrad Malawski, Akka Software Engineer, Typesafe, Inc.
Akka is a runtime framework for building resilient, distributed applications in Java or Scala. In this webinar, Konrad Malawski discusses the roadmap and features of the upcoming Akka 2.4.0 and reveals three upcoming enhancements that enterprises will receive in the latest certified, tested build of Typesafe Reactive Platform.
Akka Split Brain Resolver (SBR)
Akka SBR provides advanced recovery scenarios in Akka Clusters, improving on the safety of Akka’s automatic resolution to avoid cascading partitioning.
Akka Support for Docker and NAT
Run Akka Clusters in Docker containers or NAT with complete hostname and port visibility on Java 6+ and Akka 2.3.11+
Akka Long-Term Support
Receive Akka 2.4 support for Java 6, Java 7, and Scala 2.10
Microservices Practitioner Summit Jan '15 - Don't Build a Distributed Monolit...Ambassador Labs
Ben Christensen of Facebook, Netflix, and author of Hystrix.
In pursuit of ease and obedience to the DRY ("don't repeat yourself") axiom, it is common to build a distributed monolith instead of the intended decoupled microservice architecture. This talk will explore the common pitfalls, the pain they cause, and approaches to connecting microservice permitting the promised separation of concerns that allows varied architectures, platforms, languages, timelines, and incremental rewrites of a microservice system.
Full video here: http://www.microservices.com/ben-christensen-do-not-build-a-distributed-monolith
Modern apps require data services that your back-end infrastructure may lack.Discover how to build successful apps using the Apigee API Services toolkit. Learn how your developers can take advantage of Apigee's mBaaS solution to build and scale their apps without having to stand up an internal database. Deep dive into the API-enabled backend system that enables developers to build features like user management, push notifications, social graph, geo-location and more.
Modernizing the Legacy - How Dish is Adapting its SOA Services for a Cloud Fi...VMware Tanzu
SpringOne Platform 2016
Speakers: Rob Bennett; Director, Development, Dish Networks; Chandra Nemalipuri; Principal Software Engineer, Dish Networks; Lax Rastogi; Senior Manager, Dish Networks
Like many companies, Dish has a large number of SOA services that have been built using previous generations of technology. In this session we will discuss the challenges faced in converting legacy services to cloud native applications and the different approaches we considered for resolving the conflicts. We will then dive deeper into the approach that we chose to modernize our services and put us on a track towards a microservices based architecture running on Cloud Foundry.
http://www.hcltech.com/ - More on HCL Technologies
According to industry estimates most of the business critical applications for not only midsize companies, but also many Fortune 500 corporations run on legacy systems, due to the system’s excellent performance and stability. CIO’s and IT managers handling these applications constantly face challenges such as:
High cost of supporting and maintaining the expensive legacy applications.
Inefficient, slow and less productive system compared to competition.
Unmitigated risk associated with lack of skill availability in the resource market.
Risk associated with running business critical application on unsupported platform.
Higher time to market due to large, monolithic, complex and less productive systems.
Integration with newer systems due to incompatibility with new and different technologies.
The API pattern was created in the 1970's when 'distributed architectures' didn't even exist and was established mainly for 'centralized architectures' as it bound the communication data/logic to the business logic.
In a modern world, we have moved to distributed architectures where we now have to share the I/O... but that communication logic still remains bound in the application due to an old API pattern. This makes it so that the IO data and functionality related to a request/response cannot be shared with our edge services without duplication/entanglement. This in turn means the data/functionality in our services then cannot be synchronized.
This leads to dropped threads, poor security, bad data, bad user experience, broken application, etc.
This can ALL be fixed and improved and even lead to better speed, scalability and automation through a new API Pattern.
Legacy to industry leader: a modernization case studyOSSCube
This live webinar goes through the steps of how MakeMyTrip.com engaged OSSCube to completely modernize their website and help them become one of the top online travel companies in the world. Zend Server and Zend Studio were used to expedite the entire project for what has now become arguably the largest Drupal implementation to date.
FOR THE FULL VIDEO, RECORDING & PRESENTATION:
https://typesafe.com/blog/going-reactive-in-java-with-typesafe-reactive-platform
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In this presentation by Jamie Allen, we do a deep dive into the Typesafe Reactive Platform from the Java developer’s perspective, to learn how Typesafe supports the entire Reactive application development lifecycle.
Reactive application development is becoming mainstream and considered a mission-critical need for future growth. This new wave of business applications are message-driven, elastic, resilient and responsive by nature, designed to scale elastically and maintain responsiveness during even large failures. With the Typesafe Reactive Platform (RP), including Play Framework and Akka, Java developers can start to use tools designed for building distributed systems that deliver highly-responsive user experiences. Regardless of whether you code in Java or Scala, Typesafe RP provides a resilient and message-driven application stack that scales effortlessly on multicore and cloud computing architectures.
Microservices: Architecture for the Real-time OrganizationKevin Webber
The real-time organization is responsive to change. Real-time organizations architect their systems to evolve naturally as they adapt to the competitive landscape around them. At the core of real-time organizations are microservices. The microservice architecture (MSA) empowers independent teams within large organizations to move at the pace of startups, freeing them from the constraints of “design by committee” and other architectural anti-patterns that ground productivity within the enterprise to a halt.
We explore all of the relevant patterns of microservices architecture including domain-driven design (DDD), circuit breaker, data pump, saga pattern, distributed transaction, async messaging, etc.
Revitalizing Walmart's Aging Architecture for Web ScaleKevin Webber
Learn how Walmart embraced the concepts of reactive programming, microservices, and domain-driven design to achieve results impossible only a decade ago.
Exploring microservices in a Microsoft landscapeAlex Thissen
Presentation for Dutch Microsoft TechDays 2015 with Marcel de Vries:
During this session we will take a look at how to realize a Microservices architecture (MSA) using the latest Microsoft technologies available. We will discuss some fundamental theories behind MSA and show you how this can actually be realized with Microsoft technologies such as Azure Service Fabric. This session is a real must-see for any developer that wants to stay ahead of the curve in modern architectures.
Microservices: Where do they fit within a rapidly evolving integration archit...Kim Clark
Do microservices force us to look differently at the way we lay down and evolve our integration architecture, or are they purely about how we build applications? Are microservices a new concept, or an evolution of the many ideas that came before them? What is the relationship between microservices and other key initiatives such as APIs, SOA, and Agile. In this session, we will unpick what microservices really are, and indeed what they are not. We will consider whether there is something unique about this particular point time in technology that has enables microservice concepts to take hold. Finally, we will look at if, when, where and how an enterprise can take on the benefits of microservices, and what products and technologies are applicable for that journey.
Micro service architecture (MSA) is an approach to building software systems that decomposes business domain models into smaller, consistent, bounded-contexts implemented by services.
Typically implemented and operated by small teams.
Switching from SOAP to REST doesn’t make a micro services architecture.
Micro services are not a technology-only discussion.
Redis and Kafka - Advanced Microservices Design Patterns SimplifiedAllen Terleto
The adoption and popularity of the microservices architecture continues to grow across a spectrum of enterprises in every industry. Although a consensus on an implementation standard has yet to be reached, advanced design patterns and lessons learned about the complexities and pitfalls of deploying microservices at scale have been established by thought leaders and the development community. With Redis and Kafka becoming de facto standards across most microservices architectures, we will discuss how their combination can be used to simplify the implementation of event-driven design patterns that will provide real-time performance, scalability, resiliency, traceability to ensure compliance, observability, reduced technology sprawl, and scale to thousands of services. In this discussion, we will decompose a real-time event-driven payment-processing microservices workflow to explore capturing telemetry data, event sourcing, CQRS, orchestrated SAGA workflows, inter-service communication, state machines, and more.
Redis and Kafka - Simplifying Advanced Design Patterns within Microservices A...HostedbyConfluent
The adoption and popularity of the microservices architecture continues to grow across a spectrum of enterprises in every industry. Although a consensus on an implementation standard has yet to be reached, advanced design patterns and lessons learned about the complexities and pitfalls of deploying microservices at scale have been established by thought leaders and the development community. With Redis and Kafka becoming de facto standards across most microservices architectures, we will discuss how their combination can be used to simplify the implementation of event-driven design patterns that will provide real-time performance, scalability, resiliency, traceability to ensure compliance, observability, reduced technology sprawl, and scale to thousands of services. In this discussion, we will decompose a real-time event-driven payment-processing microservices workflow to explore capturing telemetry data, event sourcing, CQRS, orchestrated SAGA workflows, inter-service communication, state machines, and more.
Amazon EKS 그리고 Service Mesh
Kubernetes는 컨테이너 서비스를 도입하는 기업들에게 가장 있기있는 Orchestration 플랫폼입니다. 이 세션에서는 아마존에서 6월 정식 출시한 managed Kubenetes서비스인 EKS를 소개해드리며, 오픈소스 버전과의 차이점 및 장점 등에 대해 설명하고, 진보한 마이크로 서비스인 Service Mesh를 구현하는 Linkerd 소개 및 데모를 진행하고자 합니다.
Cloud computing revolutionized application design, and changed the way people think about infrastructure. The rise of cloud computing coincided with a new generation of applications and services that required scale. New architecture and design had to take into account low latency network connectivity, geographic distribution, large real-time data stores, the ability to meet demand (while not knowing exactly how much demand to handle), and so much more. We refer to this as Internet Scale.
Yet most discussion of scale and cloud revolves around compute as virtualized instances, which have defined configurations and constrained options. Delivering on the promise of Internet Scale involves substantial upfront design, and a comprehensive understanding of the entire architecture - from the underlying hardware, to the operating system, the application stack, services, and deployment. And, it involves choice - choices you should make based on your requirements. Join us for a discussion on the many facets of Internet Scale, and how it can apply to your applications and services.
This talk provides an architecture overview of data-centric microservices illustrated with an example application. The following Microservices concepts are illustrated - domain driven design, event-driven services, Saga transactions, Application tracing and Health monitoring with different microservices using a variety of data types supported in the database - business data, documents, spatial, graph, and events. A running example of a mobile food delivery application (called GrubDash) is used, with a hands-on-lab that is available for attendees to work through on the Oracle Cloud after these sessions. The rest of the talks will build upon this Microservices architecture framework.
This presentation is conducted on 14th Sept in Limerick DotNet User Group.
(https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb)
SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928
In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation.
About Speaker:
Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book.
To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/
This presentation will be useful for software architects/Managers, senior developers.
Do share your feedback in comments.
AWS Serverless Community Day Keynote and Vendia Launch 6-26-2020Tim Wagner
Hear Tim Wagner, CEO and co-founder of Vendia and "Father of Serverless" talk about the evolution of Serverless over the years and how Vendia is taking it into a cross-cloud future.
Stay productive while slicing up the monolithMarkus Eisele
Microservices-based architectures are in vogue. Over the last couple of years, we have learned how thought leaders implement them, and it seems like every other week we hear about how containers and platform-as-a-service offerings make them ultimately happen.
Tech Talent Night Copenhagen 11/22/17
https://greenticket.dk/techtalentnightcph
IoT 'Megaservices' - High Throughput Microservices with AkkaLightbend
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Watch this presentation on-demand!
https://info.lightbend.com/iot-megaservices-high-throughput-microservices-with-akka-register.html
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In this interactive presentation by Hugh McKee, Developer Advocate at Lightbend, we’ll share our experiences helping our clients create a system architecture that can support high throughput microservices (aka "Megaservices"). We’ll do that using IoT demo applications designed to push cloud service providers like Amazon and Google to their limits. Using sample code that you can later run on your own machine, we’ll look at:
* Modeling real-life digital twins for hundreds of thousands of IoT devices in the field, looking into how these megaservices are implemented in Akka.
* Visualizing Akka Actors–which represent IoT digital twins–in a “crop circle” formation that represents a complete distributed Reactive application, and watching at messages are processed across Akka Cluster nodes using cluster sharding.
* Some code behind the whole set up, which is built using OSS like Akka, Java, JavaScript, and Kubernetes.
Follow us on social:
TW: https://twitter.com/lightbend
LI: https://www.linkedin.com/company/lightbend-inc-/
FB: https://www.facebook.com/lightbendOfficial/
For more about Lightbend:
Blog: https://www.lightbend.com/blog
Newsletter: https://www.lightbend.com/newsletter
How Akka Cluster Works: Actors Living in a ClusterLightbend
Hugh McKee, Developer Advocate at Lightbend, demonstrates how Akka Actors work inside of a cluster, including the code and in-browser visualizations you need to grok it.
See the full content with videos here: https://www.lightbend.com/blog/how-akka-cluster-works-actors-living-in-a-cluster
Putting the 'I' in IoT - Building Digital Twins with Akka MicroservicesLightbend
In this webinar with Hugh McKee, Developer Advocate for Akka Platform, we’ll look at “What on Earth”, a demo exploring how Akka Microservices serves as an ideal solution for high-scale digital twinning for IoT.
For the full presentation, including video, visit: https://www.lightbend.com/blog/iot-building-digital-twins-with-akka-microservices
Akka at Enterprise Scale: Performance Tuning Distributed ApplicationsLightbend
Organizations like Starbucks, HPE, and PayPal (see our customers) have selected the Akka toolkit for their enterprise scale distributed applications; and when it comes to squeezing out the best possible performance, the secret is using two particular modules in tandem: Akka Cluster and Akka Streams.
In this webinar by Nolan Grace, Senior Solution Architect at Lightbend, we look at these two Akka modules and discuss the features that will push your application architecture to the next tier of performance.
For the full blog post, including the video, visit: https://www.lightbend.com/blog/akka-at-enterprise-scale-performance-tuning-distributed-applications
Detecting Real-Time Financial Fraud with Cloudflow on KubernetesLightbend
Deploying a robust streaming data pipeline can be a daunting task when your company’s financial information is at risk. For starters, how do you ensure proper provisioning of resources? How do you preserve end-to-end application and data consistency? How do you make all of this work in the cloud with Kubernetes and avoid YAML hell? Answer: Cloudflow, a new open-source toolkit for simplifying the development, deployment, and operation of streaming data pipelines.
In this webinar by Jonas Bonér, creator of Akka and CTO/Co-Founder of Lightbend, we take a look at Cloudstate, an OSS tool built on Akka, gRPC, Knative, GraalVM, and Kubernetes. Cloudstate lets you model, manage, and scale stateful services while preserving responsiveness by designing for resilience and elasticity.
Digital Transformation from Monoliths to Microservices to Serverless and BeyondLightbend
Join this highly-visual presentation by Hugh McKee, Developer Advocate at Lightbend, to learn more about the ramifications and opportunities along the evolution from monolithic systems, to microservices architectures, to serverless (FaaS).
See the video presentation on the Lightbend blog at: https://www.lightbend.com/blog/digital-transformation-from-monoliths-to-microservices-to-serverless-and-beyond
Akka Anti-Patterns, Goodbye: Six Features of Akka 2.6Lightbend
In this special guest webinar with Akka expert and Reactive System Consultant, Manuel Bernhardt, we review Akka 2.6 release highlights and a selection of 6 former anti-patterns that have now been rendered impossible by design.
Lessons From HPE: From Batch To Streaming For 20 Billion Sensors With Lightbe...Lightbend
In this guest webinar with Chris McDermott, Lead Data Engineer at HPE, learn how HPE InfoSight–powered by Lightbend Platform–has emerged as the go-to solution for providing real-time metrics and predictive analytics across various network, server, storage, and data center technologies.
Microservices, Kubernetes, and Application Modernization Done RightLightbend
In this talk by David Ogren, Enterprise Architect at Lightbend, we draw from experiences helping our clients successfully create, migrate to, and manage cloud-native system architectures. We look at some of the common pitfalls and anti-patterns of modernization efforts, and some of the best practices for taking an incremental approach to transforming legacy systems.
See the full post with video on the Lightbend blog: https://www.lightbend.com/blog/microservices-kubernetes-application-modernization
In this guest webinar by Kevin Webber, we cover the entire architecture of a Reactive system, from a responsive UI implemented with Vue.js, to a fully event sourced collection of microservices implemented with Java, Lagom, Cassandra, and Kafka.
For the full recording, visit: https://www.lightbend.com/blog/full-stack-reactive-in-practice-webinar
Akka and Kubernetes: A Symbiotic Love StoryLightbend
In this webinar by Hugh McKee, Developer Advocate at Lightbend, we take a look at how Akka and Kubernetes enjoy a symbiotic relationship, using live “crop circle” visuals to help. See the full video, slides, and additional resources here:
https://www.lightbend.com/blog/akka-and-kubernetes-a-symbiotic-love-story
Scala 3 Is Coming: Martin Odersky Shares What To KnowLightbend
Join Dr. Martin Odersky, the creator of Scala and co-founder of Lightbend, on a tour of what is in store and highlight some of his favorite features of Scala 3!
Migrating From Java EE To Cloud-Native Reactive SystemsLightbend
A lot of businesses that never before considered themselves as “technology companies” are now faced with digital modernization imperatives that force them to rethink their application and infrastructure architecture. On the path to becoming a digital, on-demand provider, development speed is the ultimate competitive advantage.
This presents challenges to many organizations that have huge investments in legacy Java EE infrastructure, where technical debt and monolithic system architectures require modernization in order to confront various business risks. Usually, changes need to be made within existing frameworks to keep pace with new web-scale organizations.
If your legacy monolith is no longer serving the expanding needs of your business, then join Markus Eisele, Director of Developer Advocacy at Lightbend, to learn what you can do to migrate from Java EE to cloud-native, Reactive systems—as defined by the Reactive Manifesto.
Running Kafka On Kubernetes With Strimzi For Real-Time Streaming ApplicationsLightbend
In this talk by Sean Glover, Principal Engineer at Lightbend, we will review how the Strimzi Kafka Operator, a supported technology in Lightbend Platform, makes many operational tasks in Kafka easy, such as the initial deployment and updates of a Kafka and ZooKeeper cluster.
See the blog post containing the YouTube video here: https://www.lightbend.com/blog/running-kafka-on-kubernetes-with-strimzi-for-real-time-streaming-applications
Designing Events-First Microservices For A Cloud Native WorldLightbend
In this talk by Jonas Bonér, Lightbend CTO/Co-Founder and creator of Akka, we will explore the nature of events, what it means to be event-driven, and how we can unleash the power of events and commands by applying an events first, domain-driven design to microservices-based architectures.
For more information, head over to lightbend.com/blog!
Scala Security: Eliminate 200+ Code-Level Threats With Fortify SCA For ScalaLightbend
Join Jeremy Daggett, Solutions Architect at Lightbend, to see how Fortify SCA for Scala works differently from existing Static Code Analysis tools to help you uncover security issues early in the SDLC of your mission-critical applications.
How To Build, Integrate, and Deploy Real-Time Streaming Pipelines On KubernetesLightbend
In this webinar with Craig Blitz and Kiki Carter of Lightbend, we review how Lightbend’s Pipelines module enables you to develop components ("streamlets") using the appropriate technology, wire them together as pipelines, and deploy them with Kubernetes without all the manual, time-consuming labor.
A Glimpse At The Future Of Apache Spark 3.0 With Deep Learning And KubernetesLightbend
In this special guest webinar with Holden Karau, speaker, author and Developer Advocate at Google, we’ll take a walk through some of the interesting JIRAs, look at external components being developed (like deep learning support), and also talk about the future of running real-time Spark workloads on Kubernetes.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
25. Microservices
» Ubiquitous language
» Well defined models &
boundaries
» Single responsibility
» Independently deployable,
scalable, resilient
» Communicate via async
messaging
» Own their data
» Don't expose a public API
36. Getting started
» Model sub-domain at package
level
» Tip: Visualize existing
architecture with a tool
like Structure101
» Define public RESTful API
at package level (use async
messaging inside package at
service level)
» Refactor for physical
separation, remove package
42. Async Benefits
» Not wasting resources
» Memory, CPU, threads
» Embracing failure
» Not expecting a return
from a remote service
» Designing for all
scenarios
73. Considerations
» ACID doesn't work across location/trust boundaries
» No 2-Phase commits (2PC)
» No holding locks for the duration of work
» In distributed systems we need to compensate for
for failure rather than prevent failure
82. Microservices
with Lightbend
» Play for API gateway
» Akka for core microservices
(DDD, CQRS, event sourcing)
» ConductR for cluster
management (service
registry, discovery,
architecture visualization,
security)
83. Lagom
Monolithto microservices
» Webinar: March 17, 1PM PST / 4PM EST
» https://www.lightbend.com/discover-lagom
» Ready-to-use connectors: event-sourcing, CQRS
» Launch all microservices with a single command
» Instantly visible code updates
85. LIGHTBEND REACTIVE PLATFORM
Full Lifecycle Support for Play, Akka, Scala and Spark
Give your project a boost with Reactive Platform:
• System orchestration for resilient releases
• Real-time monitoring of asynchronous systems
• Self-healing for network partitions, node and apps
• Availability protected with configurable user quotas
• Certified, load-tested Reactive Runtime
Enjoy learning? See about the availability of
on-site training for Scala, Akka, Play and Spark!
GET STARTED