The document summarizes a presentation about reflexive metaprogramming using the Groovy programming language. It discusses how Groovy supports reflexive metaprogramming through its Meta Object Protocol (MOP) and metaclasses, allowing methods to be dynamically added, removed, or replaced on classes at runtime. It also presents examples of method interception, injection, and synthesis in Groovy and how internal domain-specific languages can be implemented.
A working hypothesis by H. Wagatsuma and D. Jahng (2020):
On-the-job training is apparently important to enhance learners' potential for learning capabilities. An actual problem is how the instructor well prepares stairs up to the next step, which finally reaches a goal. In this sense, a mission-oriented learning program & formative assessment is significantly helpful.
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Metaprogramming is the writing of computer programs that write or manipulate other programs (or themselves) as their data. - Wikipedia
The Groovy language supports two flavors of metaprogramming:
# Runtime metaprogramming, and
# Compile-time metaprogramming.
The first one allows altering the class model and the behavior of a program at runtime, while the second only occurs at compile-time.
Concurrency on the JVM showing the nuts and bolts of Akka (I presume .. it's not first-hand stuff I'm saying, just speculating). Java Memory Model, Thread Pools, Actors and the likes of that will be covered.
A working hypothesis by H. Wagatsuma and D. Jahng (2020):
On-the-job training is apparently important to enhance learners' potential for learning capabilities. An actual problem is how the instructor well prepares stairs up to the next step, which finally reaches a goal. In this sense, a mission-oriented learning program & formative assessment is significantly helpful.
java notes, object oriented programming using java, java tutorial, lecture notes, java programming notes, java example programs, java programs with explanation, java source code with output, java programs, java coding, java codes, java slides, java notes,multithreading in java, java multithreading notes, java multithreading notes,different types of multithreading in Java,multithreading with an example, multithreading in Java
Metaprogramming is the writing of computer programs that write or manipulate other programs (or themselves) as their data. - Wikipedia
The Groovy language supports two flavors of metaprogramming:
# Runtime metaprogramming, and
# Compile-time metaprogramming.
The first one allows altering the class model and the behavior of a program at runtime, while the second only occurs at compile-time.
Concurrency on the JVM showing the nuts and bolts of Akka (I presume .. it's not first-hand stuff I'm saying, just speculating). Java Memory Model, Thread Pools, Actors and the likes of that will be covered.
Slides from my talk at Greach 2014:
"Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. I’ll explain Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins and categories. All of these topics will be explained with examples in order to understand them.
Also, I’ll talk a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. We’ll see a basic but powerful example of what we can do with AST transformations."
The code is available at: https://github.com/lmivan/greach2014
python training | python course | python online trainingNancy Thomas
website : http://www.todaycourses.com
Python Online Training Concepts :
Part I - Getting Started
History
A Python Q&A Session
How Python Runs Programs
How You Run Programs
Part II - Types and Operations
Introducing Python Object Types
Numeric Types
The Dynamic Typing Interlude
Strings
Lists and Dictionaries
Tuples, Files and Everything Else
Part III - Statements and Syntax
Introducing Python Statements
Assignments, Expressions, and Prints
if Tests and Syntax Rules
while and for Loops
Iterations and Comprehensions – I
The Documentation Interlude
Part IV - Functions
Function Basics
Scopes
Arguments
Advance Function Topics
Iterations and Comprehensions – II
Part V - Modules
Modules : The Big Picture
Module Coding Basics
Module Package
Advance Module Topics
Part VI - Classes and OOP
OOP : The Big Picture
Class Coding Basics
A More Realistic Example
Class Coding Details
Operator Overloading
Designing with Classes
Advanced Class Topics
Part VII - Exceptions and Tools
Exception Basics
Exception Coding Detail
Exception Objects
Designing With Exceptions
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Lattice: A Cloud-Native Platform for Your Spring ApplicationsMatt Stine
As presented at SpringOne2GX 2015 in Washington, DC.
Lattice is a cloud-native application platform that enables you to run your applications in containers like Docker, on your local machine via Vagrant. Lattice includes features like:
Cluster scheduling
HTTP load balancing
Log aggregation
Health management
Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments.
Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics:
Installing Lattice
Lattice’s Architecture
How Lattice Differs from Cloud Foundry
How to Package and Run Your Spring Apps on Lattice
Competing with Software: It Takes a Platform -- Devops @ EMC Worldcornelia davis
Presentation at Devops @ EMC World event, 3 May 2015
In Mark Andreessen’s 2010 piece for the Wall Street Journal, in which he declared “Software is Eating the World,” he talked about well established, large enterprises loosing footing to small, nimble startup companies who are far better at bringing software to their consumers. In fact, it’s not as much that these upstarts are better at meeting customer demands, rather they are the cause of the increased expectations, providing consumers with things they didn’t even know they wanted. What are the factors behind their success? New development and operational approaches including extreme agile & test driven development, continuous delivery and devops practices all play a significant role, and while a part of the difference is cultural, tools matter. In this session we’ll look at why a software-driven enterprise needs platform. Google has one. Facebook has one. Netflix has one. Your enterprise needs one.
Linux Collaboration Summit Keynote: Transformation: It Takes a Platformcornelia davis
The last decade has seen a revolution in the manner in which digital experiences are brought to consumers. The companies who are not just meeting increased consumer expectations, but are defining them, are operating within very different organizational structures than their predecessors, and are wrapping new processes around them. And they are using a fundamentally different toolset than before. In this talk we will cover a set of processes that serve this new paradigm and we’ll study the patterns that must be present in supporting software development and runtime platforms.
Deploying Microservices to Cloud FoundryMatt Stine
As presented at Cloud Foundry Summit 2015 in Santa Clara, CA.
Now that you have Cloud Foundry, what are you going to do with it?
This presentation will show using Spring Cloud on Cloud Foundry to quickly leverage common microservice patterns, including distributed configuration management, service discovery, intelligent routing, load balancing, and fault tolerance.
Using Spring Cloud on Cloud Foundry, developers can take advantage of the cloud native microservice architectures pioneered by those building the web at places like Twitter, LinkedIn, and Netflix. In many cases they can do so running the same code with Spring Cloud wrapping the same battle-tested open source components those companies are running in production.
Evolving Devops: The Benefits of PaaS and Application Dial Tonecornelia davis
Differentiate between Infrastructure as a Service (IaaS), enhanced IaaS (Iaas+) and Platform as a Service (PaaS). We define IaaS+, which remains an infrastructure virtualization solution, and make clear the benefits of providing making the application (instead of the virtual machine) the first class abstraction with which developers and operations teams interact. When enough functionality is available around the *application* devops practices provide greater value.
These slides were presented as a part a Pivotal webinar - a replay can be accessed here: http://www.pivotal.io/platform-as-a-service/evolving-devops-the-benefits-of-paas-and-application-dial-tone
We are in the midst of a revolution. The ways in which software and value is delivered to users and the role that very frequent user feedback plays in the development lifecycle is radically different from legacy models that had software delivered on yearly cycles. The IT processes in place today cannot meet the new demands for weekly or daily releases, so we must change them. But these existing processes are serving a purpose, ensuring the quality, robustness, security and compliance of the software.
Today’s processes are centered on the client-server architectures that have reigned since the 1990s, and as a result the steps in the software development lifecycle (SDLC) predominantly involve performing operations on servers (and storage and networks). Further, IT job functions have been established to execute those processes.
In this talk we look at key existing requirements such as security and compliance, as well as some new ones such as rapid experimentation. We will rethink processes to satisfy these requirements and propose new organizational structures to execute them (spoiler alert, it is not a plan/build/run structure). Finally, we will detail some of the requirements on the IT system architectures that will allow these marked process changes. Session participants will leave with a concrete framework for transforming current IT practices, roles and responsibilities, and a clear understanding of the key technology enablers thereof.
Keynote presentation for the Pivotal Cloud Platform Roadshow. Introduces the market drivers for the Cloud Foundry Platform as a Service, discusses open source softwared (Cloud Foundry is OSS) and introduces the fundamentals of the platform.
Devops Enterprise Summit: My Great Awakening: Top “Ah-ha” Moments As Former ...cornelia davis
After spending her entire career as a software developer, with nary a moment doing operations, Cornelia Davis found herself working on an application platform that serves operations as much as development. In order to better understand that world, she spent one month on the team that runs that platform in production. The experience brought lessons in organizational design, the value of pair-ops (in addition to pair programming) and test-driven development, the importance of addressing continuous integration as a first class concern, and how separating infrastructure ops from application ops serves the business and their customers better. In this session Cornelia will share the “prod incidents” that brought these teachings; the audience will gain an appreciation not only for what, but why the lessons are so important.
Slides from my talk at Greach 2014:
"Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. I’ll explain Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins and categories. All of these topics will be explained with examples in order to understand them.
Also, I’ll talk a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. We’ll see a basic but powerful example of what we can do with AST transformations."
The code is available at: https://github.com/lmivan/greach2014
python training | python course | python online trainingNancy Thomas
website : http://www.todaycourses.com
Python Online Training Concepts :
Part I - Getting Started
History
A Python Q&A Session
How Python Runs Programs
How You Run Programs
Part II - Types and Operations
Introducing Python Object Types
Numeric Types
The Dynamic Typing Interlude
Strings
Lists and Dictionaries
Tuples, Files and Everything Else
Part III - Statements and Syntax
Introducing Python Statements
Assignments, Expressions, and Prints
if Tests and Syntax Rules
while and for Loops
Iterations and Comprehensions – I
The Documentation Interlude
Part IV - Functions
Function Basics
Scopes
Arguments
Advance Function Topics
Iterations and Comprehensions – II
Part V - Modules
Modules : The Big Picture
Module Coding Basics
Module Package
Advance Module Topics
Part VI - Classes and OOP
OOP : The Big Picture
Class Coding Basics
A More Realistic Example
Class Coding Details
Operator Overloading
Designing with Classes
Advanced Class Topics
Part VII - Exceptions and Tools
Exception Basics
Exception Coding Detail
Exception Objects
Designing With Exceptions
python training, python training videos, pydev eclipse tutorial, python class, how to install pydev, how to capture a python, object-oriented programming , capture a python, python training videos, python training for beginners, python training in bangalore marathahalli, python training in bangalore btm, python training in noida, python training in pune, python training in chennai, python training in hyderabad, python training institutes in bangalore, python training in bangalore
Lattice: A Cloud-Native Platform for Your Spring ApplicationsMatt Stine
As presented at SpringOne2GX 2015 in Washington, DC.
Lattice is a cloud-native application platform that enables you to run your applications in containers like Docker, on your local machine via Vagrant. Lattice includes features like:
Cluster scheduling
HTTP load balancing
Log aggregation
Health management
Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments.
Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics:
Installing Lattice
Lattice’s Architecture
How Lattice Differs from Cloud Foundry
How to Package and Run Your Spring Apps on Lattice
Competing with Software: It Takes a Platform -- Devops @ EMC Worldcornelia davis
Presentation at Devops @ EMC World event, 3 May 2015
In Mark Andreessen’s 2010 piece for the Wall Street Journal, in which he declared “Software is Eating the World,” he talked about well established, large enterprises loosing footing to small, nimble startup companies who are far better at bringing software to their consumers. In fact, it’s not as much that these upstarts are better at meeting customer demands, rather they are the cause of the increased expectations, providing consumers with things they didn’t even know they wanted. What are the factors behind their success? New development and operational approaches including extreme agile & test driven development, continuous delivery and devops practices all play a significant role, and while a part of the difference is cultural, tools matter. In this session we’ll look at why a software-driven enterprise needs platform. Google has one. Facebook has one. Netflix has one. Your enterprise needs one.
Linux Collaboration Summit Keynote: Transformation: It Takes a Platformcornelia davis
The last decade has seen a revolution in the manner in which digital experiences are brought to consumers. The companies who are not just meeting increased consumer expectations, but are defining them, are operating within very different organizational structures than their predecessors, and are wrapping new processes around them. And they are using a fundamentally different toolset than before. In this talk we will cover a set of processes that serve this new paradigm and we’ll study the patterns that must be present in supporting software development and runtime platforms.
Deploying Microservices to Cloud FoundryMatt Stine
As presented at Cloud Foundry Summit 2015 in Santa Clara, CA.
Now that you have Cloud Foundry, what are you going to do with it?
This presentation will show using Spring Cloud on Cloud Foundry to quickly leverage common microservice patterns, including distributed configuration management, service discovery, intelligent routing, load balancing, and fault tolerance.
Using Spring Cloud on Cloud Foundry, developers can take advantage of the cloud native microservice architectures pioneered by those building the web at places like Twitter, LinkedIn, and Netflix. In many cases they can do so running the same code with Spring Cloud wrapping the same battle-tested open source components those companies are running in production.
Evolving Devops: The Benefits of PaaS and Application Dial Tonecornelia davis
Differentiate between Infrastructure as a Service (IaaS), enhanced IaaS (Iaas+) and Platform as a Service (PaaS). We define IaaS+, which remains an infrastructure virtualization solution, and make clear the benefits of providing making the application (instead of the virtual machine) the first class abstraction with which developers and operations teams interact. When enough functionality is available around the *application* devops practices provide greater value.
These slides were presented as a part a Pivotal webinar - a replay can be accessed here: http://www.pivotal.io/platform-as-a-service/evolving-devops-the-benefits-of-paas-and-application-dial-tone
We are in the midst of a revolution. The ways in which software and value is delivered to users and the role that very frequent user feedback plays in the development lifecycle is radically different from legacy models that had software delivered on yearly cycles. The IT processes in place today cannot meet the new demands for weekly or daily releases, so we must change them. But these existing processes are serving a purpose, ensuring the quality, robustness, security and compliance of the software.
Today’s processes are centered on the client-server architectures that have reigned since the 1990s, and as a result the steps in the software development lifecycle (SDLC) predominantly involve performing operations on servers (and storage and networks). Further, IT job functions have been established to execute those processes.
In this talk we look at key existing requirements such as security and compliance, as well as some new ones such as rapid experimentation. We will rethink processes to satisfy these requirements and propose new organizational structures to execute them (spoiler alert, it is not a plan/build/run structure). Finally, we will detail some of the requirements on the IT system architectures that will allow these marked process changes. Session participants will leave with a concrete framework for transforming current IT practices, roles and responsibilities, and a clear understanding of the key technology enablers thereof.
Keynote presentation for the Pivotal Cloud Platform Roadshow. Introduces the market drivers for the Cloud Foundry Platform as a Service, discusses open source softwared (Cloud Foundry is OSS) and introduces the fundamentals of the platform.
Devops Enterprise Summit: My Great Awakening: Top “Ah-ha” Moments As Former ...cornelia davis
After spending her entire career as a software developer, with nary a moment doing operations, Cornelia Davis found herself working on an application platform that serves operations as much as development. In order to better understand that world, she spent one month on the team that runs that platform in production. The experience brought lessons in organizational design, the value of pair-ops (in addition to pair programming) and test-driven development, the importance of addressing continuous integration as a first class concern, and how separating infrastructure ops from application ops serves the business and their customers better. In this session Cornelia will share the “prod incidents” that brought these teachings; the audience will gain an appreciation not only for what, but why the lessons are so important.
12 Factor, or Cloud Native Apps – What EXACTLY Does that Mean for Spring Deve...cornelia davis
Talk given at SpringOne 2015
The third platform, characterized by a fluid infrastructure where virtualized servers come into and out of existence, and workloads are constantly being moved about and scaled up and down to meet variable demand, calls for new design patterns, processes and even culture. One of the most well known descriptions of these new paradigms is the Twelve Factor App (12factor.net), which describes elements of cloud native applications. Many of these needs are squarely met through the Spring Framework, others require support from other systems. In this session we will examine each of the twelve factors and present how Spring, and platforms such as Cloud Foundry satisfy them, and in some cases we’ll even suggest that responsibility should shift from Spring to platforms. At the conclusion you will understand what is needed for cloud-native applications, why and how to deliver on those requirements.
Cloud Foundry Introduction (w Demo) at Silicon Valley Code Campcornelia davis
Silicon Valley Code Camp, The Self-healing Elastic Runtime that is Cloud Foundry.
While we did mostly demo in this session, these slides set a bit of context first. Also includes the four levels of HA in Cloud Foundry.
Devops @ VMworld 2015 Presentation.
DevOps requires a separation of concerns between the application-focused teams and the platform-focused teams. While Platform and Application Operations have many similarities (monitor, logs, scale, upgrade, etc.) each is done with a different frame of reference. This workshop will provide an in-depth view into how a modern platform like Pivotal Cloud Foundry can eliminate the barriers between Development and Operations.
The workshop will showcase the difference in contexts for the application operations and platform operations teams, including monitoring, log analysis, capacity management, and upgrading. As well as show how separating the concerns of application operators (and application teams) from platform operators can remove the barriers between Dev and Ops. At this session we bring together both Dev and Ops with a combination of presentations and demos highlighting the capabilities of a modern platform. Monitor, log, scale, upgrade, and more, all with an integrated and auditable workflow for developers and operators.
Software Quality in the Devops World: The Impact of Continuous Delivery on Te...cornelia davis
Covers techniques, both technical and cultural/process, for ensuring quality in software delivered in the continuous delivery world we live in today.
First presented at the IC3 Conference in October 2014.
Cloud Foundry Platform Operations - CF Summit 2015cornelia davis
In this session Cornelia will share lessons learned from a month spent on a team that operates a production instance of Cloud Foundry. From her first morning addressing a prod incident, through building ops dashboards, documenting how a crashed micro-bosh is recovered, and prod deploys, she will share lessons on the value of declarative, immutable infrastructure, cloud-native application design and proper abstractions. Tried and true practices such as checklists and jumpboxes remain, while new ones such as primetime deploys and even live experimentation in prod emerge. The punchline? Even as an ops novice, she was immediately productive. In this session Cornelia will present specific techniques for using BOSH, system metrics and logging, dashboards, alerting systems and more to manage your CF deployment.
Miller Columns (used in iPhone and Mac Finder) are an elegant way of displaying and navigating a tree. This talk describes a JavaScript implementation of Miller Columns, and why JavaScript needs modules and a standard library.
20 most important java programming interview questionsGradeup
These questions are prepared by Java Programming Experts and solutions to these programs are asked during job interviews. Knowing solution to these questions helps you in getting a job.
Design Pattern Mastery - Momentum Dev Con 19 Apr 2018Steven Smith
Design patterns help developers and teams solve problems using proven approaches. In this talk, you'll learn how to solve a series of real world problems by applying patterns. Not only do patterns help individual developers solve particular problems, but they also enable teams to discuss design decisions using a richer, more descriptive language. By the end, you'll have some concrete tools you can apply, and hopefully the desire to master more patterns as you continue to improve!
Similar to Feelin' Groovy: An Afternoon of Reflexive Metaprogramming (20)
All software architectures have to deal with stress. Its simply the way the world works! Stressors come from multiple directions, including changes in the marketplace, business models, and customer demand, as well as infrastructure failures, improper or unexpected inputs, and bugs. As software architects, one of our jobs is to create solutions that meet both business and quality requirements while appropriately handling stress. We typically approach stressors by trying to create solutions that are robust. Robust systems can continue functioning properly in the presence of internal and external challenges, but they also have one or more breaking points. When we pass a robust system's known threshold for a particular type of stress, it will fail. When a system encounters an unknown unknown challenge, it will usually not be robust! Recent years have seen new approaches, including resilient, antifragile, and evolutionary architectures. All of these approaches emphasize the notion of adapting to changing conditions in order to not only survive stress but sometimes to benefit from it. In this presentation, we'll examine the theory and practice behind these architectural approaches.
Cloud Foundry: The Best Place to Run MicroservicesMatt Stine
A magical tour through the Industrial Revolution, Complex Adaptive Systems, and Turtles All the Way Down, with shout outs to Cloud Foundry, BOSH, and Spring Boot.
Microservice architectures have generated quite a bit of hype in recent months, and practitioners across our industry have vigorously debated the definition, purpose, and effectiveness of these architectures.
In this session, Matt Stine will cut through the Microservices hype and examine some very practical considerations:
• Not an End in Themselves: Microservices are really all about helping us achieve continuous delivery
• Systems over Services: Microservices are less about the services themselves and more about the systems we can assemble using them. Boilerplate patterns for configuration, integration, and fault tolerance are keys.
• Operationalized Architecture: Microservices aren’t a free lunch. You have to pay for them with strong DevOps sauce.
• It’s About the Data: Bounded contexts with API’s are great until you need to ask really big questions. How do we effectively wrangle all of the data at once?
Along the way, we’ll see how open source technology efforts such as Cloud Foundry, Spring Cloud, Netflix OSS, Spring XD, and Hadoop can help us with many of these considerations.
Cloud Foundry Diego: Modular and Extensible Substructure for MicroservicesMatt Stine
The Diego project was originally conceived as a rewrite of the Droplet Execution Agent (DEA) component of the Cloud Foundry elastic runtime, the component responsible for scheduling, starting, stopping, and scaling applications in Linux containers. Since Diego’s inception, this development effort has been guided by core principles such as simplicity, loose coupling, high cohesion, separation of concerns, and seeking the right abstractions.
These guiding principles have resulted in an extremely modular platform that provides a welcome home for your microservices. Microservices are loosely coupled, independently deployable applications whose individual scopes are guided by the concept of bounded contexts. Martin Fowler has described well the operational maturity required to employ microservices architectures, memorably stating “you must be this tall to ride the microservices ride,” with the capability to do rapid deployment and basic monitoring. Diego’s opinionated automation and health checking provide a great platform for operating microservices. At the same time, this platform has clean abstractions that support useful extension points.
In this presentation we'll explore the Diego architecture, highlight Diego’s role as the new core of the Cloud Foundry elastic runtime, and illustrated how Diego is being used as a component in other platforms such as Lattice and Spring XD. We'll also look at how Diego's abstractions provided an easy road to adding alternative backends for other platforms like core Windows/.NET support to Cloud Foundry. Finally, we'll discover how Diego's abstractions are providing the Spring Cloud project with a clear road to providing tighter integration between the Netflix OSS stack of services and Cloud Foundry, with a goal of enabling support for polyglot cloud-native application architectures.
Building Distributed Systems with Netflix OSS and Spring CloudMatt Stine
As presented at: http://www.meetup.com/Pivotal-Open-Source-Hub/events/219264521/
With the advent of microservice and cloud-native application architectures, building distributed systems is becoming increasingly common for the enterprise Java developer. Fortunately many of the innovators in the space, including Twitter, LinkedIn, and Netflix, have embraced the JVM as they’ve built increasingly complex systems, with Netflix open-sourcing much of its toolkit for constructing these systems at NetflixOSS.
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Many of these patterns are provided via wrapping the battle-tested components found at NetflixOSS.
A Recovering Java Developer Learns to GoMatt Stine
As presented at OSCON 2014.
The Go programming language has emerged as a favorite tool of DevOps and cloud practitioners alike. In many ways, Go is more famous for what it doesn’t include than what it does, and co-author Rob Pike has said that Go represents a “less is more” approach to language design.
The Cloud Foundry engineering teams have steadily increased their use of Go for building components, starting with the Router, and progressing through Loggregator, the CLI, and more recently the Health Manager. As a “recovering-Java-developer-turned-DevOps-junkie” focused on helping our customers and community succeed with Cloud Foundry, it became very clear to me that I needed to add Go to my knowledge portfolio.
This talk will introduce Go and its distinctives to Java developers looking to add Go to their toolkits. We’ll cover Go vs. Java in terms of:
* type systems
* modularity
* programming idioms
* object-oriented constructs
* concurrency
Cloud Foundry and Microservices: A Mutualistic Symbiotic RelationshipMatt Stine
As delivered to the Cloud Foundry Summit 2014 in San Francisco, CA:
With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles:
* Streaming customer feedback directly into rapid, iterative cycles of application development
* Horizontally scaling applications to meet user demand
* Compatibility with an enormous diversity of clients, with mobility (smartphones, tablets, etc.) taking the lead
* Continuous delivery of value, shrinking the cycle time from concept to cash
Infrastructure has taken the lead in adapting to meet these needs with the move to the cloud, and Platform as a Service (PaaS) has raised the level of abstraction to a focus on an ecosystem of applications and services. However, most applications are still developed as if we're living in the previous generation of both business and infrastructure: the monolithic application. Microservices - small, loosely coupled applications that follow the Unix philosophy of "doing one thing well" - represent the application development side of enabling rapid, iterative development, horizontal scale, polyglot clients, and continuous delivery. They also enable us to scale application development and eliminate long term commitments to a single technology stack.
While microservices are simple, they are certainly not easy. It's recently been said that "microservices are not a free lunch". Interestingly enough, if you look at the concerns expressed here about microservices, you'll find that they are exactly the challenges that a PaaS is intended to address. So while microservices do not necessarily imply cloud (and vice versa), there is in fact a symbiotic relationship between the two, with each approach somehow compensating for the limitations of the other, much like the practices of eXtreme Programming.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Of course, no introduction of myself would be complete without introducing my wife (CLICK!) And my four children (CLICK!)
Consider the following Groovy class….it’s a Duck, and as any good Duck should, it walks like a duck and quacks like a duck. (CLICK!) Now, consider this Groovy class….it’s a MentalPatient, and it just so happens to walk like a duck and quack like a duck. (CLICK!) Now, consider the Groovy class….it claims to walk with ducks. It defines one method, with an interesting type declaration in its signature (CLICK!) Here we have a dynamic type declaration….”def”….this allows us to pass in either a Duck or a MentalPatient…and to WalksWithDucks, as long as it walks like a duck…. (CLICK!) It’s a duck!!!
At the end of the day, it’s all in what you respond to! (CLICK!) Here we see one of Groovy’s metaprogramming constructs, the “respondsTo” method, which allows us to see whether or not a given object responds to certain method calls, irrespective of any class or interface implementation
In Groovy application, 3 kinds of objects: POJO’s (Plain Old Java Objects) -> regular Java objects created in Java or other JVM languages (JRuby, Jython, etc.) POGO’s (Plain Old Groovy Objects) -> written in Groovy, extend java.lang.Object, implement groovy.lang.GroovyObject Groovy interceptors -> written in Groovy and implement GroovyInterceptable invokeMethod(), getProperty(), setProperty() – make Groovy objects highly dynamic – can be used to work w/ methods and properties created on the fly getMetaClass()/setMetaClass() – make it very easy to create proxies to intercept and also inject methods on a POGO
Marker interface that extends GroovyObject All method calls – both existing and nonexisting methods – on an object implementing this interface are intercepted by its invokeMethod()
Groovy allows metaprogramming for POJO’s and POGO’s POJOS – Groovy maintains a MetaClassRegistry class of MetaClasses POGOS – direct reference to their MetaClass When you call a method: Groovy first checks whether the target is a POJO or POGO, and handles such calls differently If it is a POJO, Groovy fetches its MetaClass from the MetaClassRegistry and delegates method invocation to it. Any interceptors or methods you’ve defined on its MetaClass take precedence over the original method of the POJO For POGO’s, Groovy takes a few extra steps (CLICK!)
If the class implements GroovyInterceptable, all calls get routed to its invokeMethod() If not, then Groovy looks for the method first in the POGO’s MetaClass, and then if not found, in the POGO itself, executing in that order of preference If the POGO does not have either, it then looks for a property with that method name. If found, and if its type is Closure, it invokes the Closure. If no closure property, it invokes methodMissing() if it exists If not, it invokes the POGO’s invokeMethod() If all else fails, Groovy throws a MissingMethodException indicating the failure of the call
Suppose we have a Car class for which we want to call its check() method to perform filtering prior to any other method call CLICK! Here we implement invokeMethod()….CLICK! First, we check to see if the name of the method is not check()….if not, we get access to the check() MetaMethod and invoke it….CLICK! Next, we try to access the MetaMethod for the method that was called…CLICK! If we don’t get a null, we know we have a valid method, and we invoke it…CLICK! Otherwise, we delegate the call to the Car MetaClass’s invokeMethod()….the default implementation throwing a MissingMethodException….CLICK! Here’s some client code…we call the 3 valid methods and then one invalid method…CLICK! And here’s the output….notice that for start() and drive() we run the filter….but when check() is called directly, we do not….and again, notice the MissingMethodException on speed()
We can do the same thing using MetaClass…there are a few subtle differences: (CLICK!) We actually implement invokeMethod on the Car MetaClass by implementing a closure and assigning it to that method name. (CLICK!) Instead of passing “this” to invoke, we pass “delegate.” In a closure, delegate refers to the object that owns the closure. (CLICK!) Lastly, we call invokeMissingMethod() on the metaClass since we are already executing invokeMethod() and would not want to call that method recursively. invokeMissingMethod() actually delegates to invokeMethod() in the case of existing methods, and to missingMethod() in the case of nonexisting methods
We can also use MetaClass on a POJO…in this case the java.lang.Integer class (CLICK!) Again, we’re implementing a closure and assigning it to invokeMethod on the Integer class (CLICK!) The closure simply checks for a valid method call, invokes pre-filtering code, invokes the method, and invokes post-filtering code. Here is some client code….the first two calls exist on Integer, while the third does not… (CLICK!) And here is the output…..notice the execution of the filters for the valid method calls and then the MissingMethodException thrown on the call to empty()
So here we’re going to implement a StringUtil class containing a single method, toSSN(), that we’d like to be vailable on both String and StringBuffer…it will format the contents of the string as a social security number. So to do category injection, there are a few requirements: (CLICK!) First, you need a static method…(CLICK!) That accepts at least one parameter (the object for which the method is to be injected) (CLICK!) You write a use block, with the Category class as the argument…in this case, any Object inside the use block will have access to the toSSN() method because we left toSSN() dynamically typed (CLICK!) Objects outside the scope of the use block will not have toSSN()….(CLICK!) And here is the output…
I want to show you a second example of this to futher illustrate the flexibility….here we have a FindUtil class with an extractOnly() method….(CLICK!) Again, the method is static….(CLICK!) It takes the object (in this case a String) on which to inject the method as the first parameter….(CLICK!) And it also takes a second argument, in this case a closure that we expect to return a boolean value…(CLICK!) Inside the method, we iterate over each character in the String and append to the result only characters for which the closure returns true. You’ll see “it” here, which happens to be the default argument in closures if none are specified…(CLICK!) We setup our use block and execute the code (CLICK!) In this case, we pass in a closre that returns true only if the scanned character is a ‘4’ or a ‘5’….given the String of characters we start with, we get 54 as the output…
Here we’d like to add a method….daysFromNow()….to the Integer class…it will return an instance of java.util.Date equal to the Integer number of days from today….(CLICK!) Now you can tell I only made this slide a couple of days ago …. :-)
We can also add a property in a similar way by implementing the “getter” method for a property called daysFromNow….this allows us to drop the parenthesis, creating a more “fluent” or human readable interface, something you like to shoot for when building domain specific languages…CLICK! Here’s the output….
We can also add a static method by implementing methods on the static property of the metaClass…here’s we’ll add a method indicating whether or not its argument is an even number….CLICK! Again, here’s the output….
The last method type we can add in is a constructor…we do this by appending a closure to the existing set of constructors on Integer….in this case, we want to construct an Integer equal to the current day of the year…CLICK! And the output….
Let’s define a Person class that plays several sports…CLICK! First we’ll implement methodMissing()…CLICK! We’ll search for the suffix of the method named called….in this case we’re expecting method calls like “playFootball” or “playPolo”….CLICK! Having found it, we’ll return a String that says we’re “playing” the sport….here we’re using Groovy’s ability to execute arbitrary Groovy code embedded in a String inside the ${} construct…. CLICK! If we don’t find a legal method name, we throw a MissingMethodException….here’ some client code with several legal calls and one illegal call….CLICK! And here’s the output….notice that methodMissing() is not called for the work() method, but is for all of the sports-related methods….and we got a MissingMethodException for politics, which is usually not a sport, depending on who you’re talking to….
Now let’s implement the Intercept, Cache, Invoke pattern on our Person class…CLICK! First we intercept the method call, just as we did before. Having found it….CLICK! We implement a closure and add it to the Person’s MetaClass…again we’re using Groovy’s String evaluation capabilities to dynamically construct the method name….CLICK! We then return the result of the closure we just implemented….CLICK! Quickly notice the static initializer block….here I’m simply “touching” the metaClass for Person. The reason for this is an eccentricity in Groovy in that ExpandoMetaClass is not the default MetaClass for Groovy, however once you access it the first time it is replaced with an instance of EMC. This may be changed in future versions….CLICK! Here’s some client code…CLICK!….and here’s the output. Notice that methodMissing() is only called once
So here’s the beginning of our DSL….the first thing we do is enable the ExpandoMetaClass globally….this causes methods we add to a parent class, in this case Number, to be available to its children….CLICK! Next we reimplement Number’s get Property method….we assign it a closure that uses Jscience’s API to instantiate an Amount equal to the value of the Number instance and units specified by the propery name…. I’ve added a few examples of this and….CLICK!….here’s the output
The next step is to define our operator overloading….since Jscience doesn’t use the same operation names as Groovy, we need to implement a few closures to massage out the differences…..I’ve put here examples of Multiplication Division Addition Subtraction Powers Opposites And comparisons…and CLICK! Here’s the output…..notice on the power example we mixed metric and english units, and Jscience guessed that we’d want the output in metric units (indicated by the question mark)…
Our third step is to allow us to specify inverse units in a clean way, just like a physicist would. In a Groovy script like this one, all variables are local variables….however you can also pass in variables through a Binding, allowing for easy integration with existing Java code, etc. Here we’re going to implement a binding that will ignore references to the out property, which represents System.out….otherwise, it will return an amount equal to 1 unit of the symbol representing the property we tried to access…. Now, you can see these examples of inverse units, such as kilometers per hour, milligrams per Liter, etc…CLICK! And here’s the output of this portion….
Finally, we’d like to easily do conversions between different units, so we define a to() method on Amount’s metaclass….here’s some examples of that and CLICK! The output