Big Cloud service providers are investing millions of dollars and hours in developing Cloud-native and automation technologies to help their customers develop secure, smart, efficient, and scalable products and services with Serverless computing. Serverless architecture is being used to fast-track customer initiatives to support app modernization programs that accelerate the adoption of serverless technologies in legacy applications.
The document discusses the challenges of legacy application systems and strategies for their modernization. It notes that maintaining legacy systems consumes a large portion of IT budgets. Modernizing applications can increase security, compliance, productivity and innovation but requires assessing systems, selecting appropriate modernization approaches, rethinking architectures, choosing modern tech stacks, and planning for ongoing updates and training. The best practices highlighted include architecture-driven modernization and iterative decision-making frameworks.
This document provides an overview of modernizing enterprise applications with Azure Platform-as-a-Service (PaaS). It discusses reasons why businesses modernize like reducing technical debt and optimizing costs. It also covers challenges of modernization like fragmented security and conflicting priorities. The document then presents different approaches to application migration and modernization on Azure including migrating to IaaS, replacing with SaaS, staying on-premises but connected to cloud, and modernizing directly on PaaS. Key benefits of a successful modernization are also listed like prioritizing security, resilience, and performance as well as innovating faster. The document concludes with case studies of companies successfully modernizing applications on Azure.
There are options beyond a straight forward lift and shift into Azure IaaS. What are your options? Learn how Azure helps modernize applications faster with containers and how you can use serverless to add additional functionality while keeping your production codebase 'clean'. We'll also learn how to incorporate DevOps throughout your apps lifecycle and take advantage of data-driven intelligence. Demo intensive session integrating the likes of Service Fabric, AKS VSTS and more.
Serverless computing and Function-as-a-Service (FaaS)Moritz Strube
This document discusses serverless computing and Function as a Service (FaaS). It defines FaaS and compares it to PaaS, listing some key differences like FaaS using functions as the unit of computation and being job-oriented without provisioning. It lists several popular FaaS providers like AWS Lambda and provides examples of using FaaS for different use cases like Alexa skills and AWS IoT. It also discusses the serverless.com platform for developing and deploying serverless applications and functions. Finally, it notes some pros and cons of FaaS, like its lean development but potential challenges with debugging.
The document discusses cloud resiliency and cloud provisioning. It describes cloud resiliency as distributing redundant IT resources across physical locations so that if one fails, processing is handed off to another. The four steps to cloud resiliency outlined are: assess risks and requirements, plan/design resilient architecture, implement and test, and manage/sustain the resilience program. Cloud provisioning allocates a cloud provider's resources and services to customers, and can be done through advanced, dynamic, or self-provisioning models with varying levels of automation and pricing structures.
Public vs private vs hybrid cloud what is best for your business-Everdata Technologies
The document discusses public, private, and hybrid cloud options and which may be best for a business. A public cloud provides resources over the internet on a pay-per-use model but offers less customization and security. A private cloud has extensive security and customization options but requires significant investment. A hybrid cloud combines the strengths of public and private clouds by using public cloud resources during spikes in private cloud usage. The best option depends on a business's needs - public cloud suits smaller businesses needing quick solutions, private cloud suits businesses with regulatory requirements, and hybrid cloud suits businesses with unpredictable traffic fluctuations.
This document discusses best practices for migrating applications to the cloud. It identifies common stages in cloud migrations like experimentation, virtualization trials, and business-driven efforts. Major considerations for cloud applications include infrastructure, architecture, monitoring, security, instrumentation, and automation. The document provides tips for cloud migrations such as breaking applications into well-designed components, avoiding monolithic structures, designing for parallelism and fault tolerance, and emphasizing security through input validation and policy enforcement.
The document discusses the challenges of legacy application systems and strategies for their modernization. It notes that maintaining legacy systems consumes a large portion of IT budgets. Modernizing applications can increase security, compliance, productivity and innovation but requires assessing systems, selecting appropriate modernization approaches, rethinking architectures, choosing modern tech stacks, and planning for ongoing updates and training. The best practices highlighted include architecture-driven modernization and iterative decision-making frameworks.
This document provides an overview of modernizing enterprise applications with Azure Platform-as-a-Service (PaaS). It discusses reasons why businesses modernize like reducing technical debt and optimizing costs. It also covers challenges of modernization like fragmented security and conflicting priorities. The document then presents different approaches to application migration and modernization on Azure including migrating to IaaS, replacing with SaaS, staying on-premises but connected to cloud, and modernizing directly on PaaS. Key benefits of a successful modernization are also listed like prioritizing security, resilience, and performance as well as innovating faster. The document concludes with case studies of companies successfully modernizing applications on Azure.
There are options beyond a straight forward lift and shift into Azure IaaS. What are your options? Learn how Azure helps modernize applications faster with containers and how you can use serverless to add additional functionality while keeping your production codebase 'clean'. We'll also learn how to incorporate DevOps throughout your apps lifecycle and take advantage of data-driven intelligence. Demo intensive session integrating the likes of Service Fabric, AKS VSTS and more.
Serverless computing and Function-as-a-Service (FaaS)Moritz Strube
This document discusses serverless computing and Function as a Service (FaaS). It defines FaaS and compares it to PaaS, listing some key differences like FaaS using functions as the unit of computation and being job-oriented without provisioning. It lists several popular FaaS providers like AWS Lambda and provides examples of using FaaS for different use cases like Alexa skills and AWS IoT. It also discusses the serverless.com platform for developing and deploying serverless applications and functions. Finally, it notes some pros and cons of FaaS, like its lean development but potential challenges with debugging.
The document discusses cloud resiliency and cloud provisioning. It describes cloud resiliency as distributing redundant IT resources across physical locations so that if one fails, processing is handed off to another. The four steps to cloud resiliency outlined are: assess risks and requirements, plan/design resilient architecture, implement and test, and manage/sustain the resilience program. Cloud provisioning allocates a cloud provider's resources and services to customers, and can be done through advanced, dynamic, or self-provisioning models with varying levels of automation and pricing structures.
Public vs private vs hybrid cloud what is best for your business-Everdata Technologies
The document discusses public, private, and hybrid cloud options and which may be best for a business. A public cloud provides resources over the internet on a pay-per-use model but offers less customization and security. A private cloud has extensive security and customization options but requires significant investment. A hybrid cloud combines the strengths of public and private clouds by using public cloud resources during spikes in private cloud usage. The best option depends on a business's needs - public cloud suits smaller businesses needing quick solutions, private cloud suits businesses with regulatory requirements, and hybrid cloud suits businesses with unpredictable traffic fluctuations.
This document discusses best practices for migrating applications to the cloud. It identifies common stages in cloud migrations like experimentation, virtualization trials, and business-driven efforts. Major considerations for cloud applications include infrastructure, architecture, monitoring, security, instrumentation, and automation. The document provides tips for cloud migrations such as breaking applications into well-designed components, avoiding monolithic structures, designing for parallelism and fault tolerance, and emphasizing security through input validation and policy enforcement.
The Ideal Approach to Application Modernization; Which Way to the Cloud?Codit
Determine your best way to modernize your organization’s applications with Microsoft Azure.
Want to know more? Don't hesitate to download our White Paper 'Making the Move to Application Modernization; Your Compass to Cloud Native': http://bit.ly/39XylZp
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
This presentation explains what serverless is all about, explaining the context from Devs & Ops points of view, and presenting the various ways to achieve serverless (Functions a as Service, BaaS....). It also presents the various competitors on the market and demo one of them, openfaas. Finally, it enlarges the pictures, positionning serverless, combined with Edge computing & IoT, as a valuable triptic cloud vendors are leveraging on top of, to create end-to-end offers.
- Microservices advocate creating a system from small, isolated services that each own their data and are independently scalable and resilient. They are inspired by biological cells that are small, single-purpose, and work together through messaging.
- The system is divided using a divide and conquer approach, decomposing it into discrete subsystems that communicate over well-defined protocols. Each microservice focuses on a single business capability and owns its own data and behavior.
- Microservices communicate asynchronously through APIs and events to maintain independence and isolation, which enables continuous delivery, failure resilience, and independent scaling of each service.
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
Introduction to DevOps covering:
- Why DevOps
- How to build DevOps Teams in your organization
- Cloud Tools you can use for DevOps (Azure and AWS)
- Legacy Software and DevOps
- What is the Future of DevOps
- People to Follow
Perform a Cloud Readiness Assessment for Your Own CompanyAmazon Web Services
In this session you will get an understanding how to evaluate your company's or applications' cloud readiness. We will cover aspects such as workload and data categorisation, automation levels, design for failure and cost-optimised architectures. We will be looking at typical application evolution paths from tightly coupled physical systems, in some cases through virtualisation, to cloud-native, or cloud-ready, loosely coupled, distributed and automated solutions.
Cloud migration is the process of transferring databases, applications, and IT processes into the cloud, or from one cloud to another. Migration in cloud computing has become quite popular among organizations as it offers anytime, anywhere access. Read this practical guide to cloud migration to know more.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
The document discusses 5 keys to successful cloud migration: 1) Developing the right strategy early; 2) Knowing which applications are cloud-suitable; 3) Securing the right skills and resources; 4) Maintaining data integrity and ensuring operational continuity; and 5) Adopting an end-to-end approach. It notes that portfolio analysis, legacy application modernization, security concerns, and the complexity of migration are among the top challenges.
The document discusses Azure Arc, Microsoft's solution for extending Azure management and security capabilities to any infrastructure. Key points include:
- Azure Arc allows deploying and managing Kubernetes applications across environments using DevOps techniques and ensuring consistent configuration.
- It enables running data services anywhere for latency or compliance reasons and seamlessly managing data assets across on-premises, clouds and edge.
- Azure Arc provides a way to centrally organize and govern Kubernetes clusters and servers that may be sprawling across clouds, datacenters and edge from a single place.
There are options beyond a straight forward lift and shift into Infrastructure as a Service. This session is about learning about how Azure helps modernize applications faster utilising modern technologies like PaaS, containers and serverless
Cloud computing allows sharing of computing resources over the Internet rather than having local servers. It provides benefits like cost savings, scalability, and flexibility. There are three types of cloud computing: Infrastructure as a Service, Platform as a Service, and Software as a Service. Common cloud computing services include storage, databases, networking, and analytics. While cloud computing improves security and collaboration, challenges include data security, compliance issues, cost, and performance concerns.
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
This document describes a cloud assessment service that helps organizations evaluate their readiness to move to the cloud. The assessment identifies current infrastructure and applications, evaluates business and IT value, and develops a cloud adoption strategy and roadmap. It determines which applications are suitable for the cloud, how to optimize existing resources, and recommends industry best practices for portfolio transformation and cloud migration.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
Serverless computing automates all aspects of cloud infrastructure and allows developers to focus solely on coding application logic. It provides instant scalability from zero to thousands of containers and back down again. Serverless services are best suited for real-time event-based applications and offer a pay-per-use pricing model billed by milliseconds of execution time. While serverless offers benefits like reduced costs, increased scalability, and easier development, limitations include potential latencies during initial function calls or large scale events.
Serverless computing automates all aspects of cloud infrastructure and allows developers to focus solely on coding application logic. It provides instant scalability from zero to thousands of containers and back down again. Serverless services are best suited for real-time event-based applications and offer a pay-per-use pricing model charged to the millisecond. While serverless reduces the burden on operations teams, certain limitations like cold start latencies are being addressed as the technology matures.
The Ideal Approach to Application Modernization; Which Way to the Cloud?Codit
Determine your best way to modernize your organization’s applications with Microsoft Azure.
Want to know more? Don't hesitate to download our White Paper 'Making the Move to Application Modernization; Your Compass to Cloud Native': http://bit.ly/39XylZp
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
This presentation explains what serverless is all about, explaining the context from Devs & Ops points of view, and presenting the various ways to achieve serverless (Functions a as Service, BaaS....). It also presents the various competitors on the market and demo one of them, openfaas. Finally, it enlarges the pictures, positionning serverless, combined with Edge computing & IoT, as a valuable triptic cloud vendors are leveraging on top of, to create end-to-end offers.
- Microservices advocate creating a system from small, isolated services that each own their data and are independently scalable and resilient. They are inspired by biological cells that are small, single-purpose, and work together through messaging.
- The system is divided using a divide and conquer approach, decomposing it into discrete subsystems that communicate over well-defined protocols. Each microservice focuses on a single business capability and owns its own data and behavior.
- Microservices communicate asynchronously through APIs and events to maintain independence and isolation, which enables continuous delivery, failure resilience, and independent scaling of each service.
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
Introduction to DevOps covering:
- Why DevOps
- How to build DevOps Teams in your organization
- Cloud Tools you can use for DevOps (Azure and AWS)
- Legacy Software and DevOps
- What is the Future of DevOps
- People to Follow
Perform a Cloud Readiness Assessment for Your Own CompanyAmazon Web Services
In this session you will get an understanding how to evaluate your company's or applications' cloud readiness. We will cover aspects such as workload and data categorisation, automation levels, design for failure and cost-optimised architectures. We will be looking at typical application evolution paths from tightly coupled physical systems, in some cases through virtualisation, to cloud-native, or cloud-ready, loosely coupled, distributed and automated solutions.
Cloud migration is the process of transferring databases, applications, and IT processes into the cloud, or from one cloud to another. Migration in cloud computing has become quite popular among organizations as it offers anytime, anywhere access. Read this practical guide to cloud migration to know more.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
The document discusses 5 keys to successful cloud migration: 1) Developing the right strategy early; 2) Knowing which applications are cloud-suitable; 3) Securing the right skills and resources; 4) Maintaining data integrity and ensuring operational continuity; and 5) Adopting an end-to-end approach. It notes that portfolio analysis, legacy application modernization, security concerns, and the complexity of migration are among the top challenges.
The document discusses Azure Arc, Microsoft's solution for extending Azure management and security capabilities to any infrastructure. Key points include:
- Azure Arc allows deploying and managing Kubernetes applications across environments using DevOps techniques and ensuring consistent configuration.
- It enables running data services anywhere for latency or compliance reasons and seamlessly managing data assets across on-premises, clouds and edge.
- Azure Arc provides a way to centrally organize and govern Kubernetes clusters and servers that may be sprawling across clouds, datacenters and edge from a single place.
There are options beyond a straight forward lift and shift into Infrastructure as a Service. This session is about learning about how Azure helps modernize applications faster utilising modern technologies like PaaS, containers and serverless
Cloud computing allows sharing of computing resources over the Internet rather than having local servers. It provides benefits like cost savings, scalability, and flexibility. There are three types of cloud computing: Infrastructure as a Service, Platform as a Service, and Software as a Service. Common cloud computing services include storage, databases, networking, and analytics. While cloud computing improves security and collaboration, challenges include data security, compliance issues, cost, and performance concerns.
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
This document describes a cloud assessment service that helps organizations evaluate their readiness to move to the cloud. The assessment identifies current infrastructure and applications, evaluates business and IT value, and develops a cloud adoption strategy and roadmap. It determines which applications are suitable for the cloud, how to optimize existing resources, and recommends industry best practices for portfolio transformation and cloud migration.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
Serverless computing automates all aspects of cloud infrastructure and allows developers to focus solely on coding application logic. It provides instant scalability from zero to thousands of containers and back down again. Serverless services are best suited for real-time event-based applications and offer a pay-per-use pricing model billed by milliseconds of execution time. While serverless offers benefits like reduced costs, increased scalability, and easier development, limitations include potential latencies during initial function calls or large scale events.
Serverless computing automates all aspects of cloud infrastructure and allows developers to focus solely on coding application logic. It provides instant scalability from zero to thousands of containers and back down again. Serverless services are best suited for real-time event-based applications and offer a pay-per-use pricing model charged to the millisecond. While serverless reduces the burden on operations teams, certain limitations like cold start latencies are being addressed as the technology matures.
Chithrai Mani Director of Architecture and Delivery - Talking About Cloud Ser...Chithrai Selvakumar Mani
Serverless technology allows developers to build and run applications and services without having to manage infrastructure. It provides a more flexible and cost-effective way for startups to build applications by allowing them to pay only for resources used and avoiding costs of idle servers. Serverless computing abstracts away server management, offers automatic scaling, and helps startups build applications faster while reducing costs and improving user experience. Major cloud providers like AWS Lambda, Azure Functions, and Google Cloud Functions provide serverless computing services.
This document discusses serverless computing as an evolution of cloud computing that provides significant benefits for businesses. With serverless architectures, companies can develop applications without having to manage underlying infrastructure. This reduces costs and speeds development and deployment. However, serverless computing also presents some risks like loss of control over infrastructure and potential vendor lock-in. Overall, the document argues that serverless computing offers compelling opportunities for today's digital enterprises to focus on their core business.
Cloud computing technology has been a new buzzword in the IT industry and expecting a new horizon for coming world. It is a style of computing which is having dynamically scalable virtualized resources provided as a service over the Internet.
The document discusses the promises and realities of cloud computing. While the cloud promises cost savings, increased computing power, and automation, realities include security concerns, reliability issues, integration challenges, and costs for early adopters. As cloud technology evolves, both expectations and experiences of users are changing. The cloud remains a work in progress, with opportunities and risks that companies must navigate as adoption increases.
CLOUD COMPUTING: SECURITY ISSUES AND CHALLENGESP singh
Cloud storage is defined as "the storage of data online in the cloud," wherein a company's data is stored in and accessible from multiple distributed and connected resources that comprise a cloud. Although cloud service providers implement the best security standards and industry certifications, storing data and important files on external service providers always opens up risks. Using cloud-powered technologies means you need to provide your service provider with access to important business data. Meanwhile, being a public service opens up cloud service providers to security challenges on a routine basis. The ease in procuring and accessing cloud services can also give nefarious users the ability to scan, identify and exploit loopholes and vulnerabilities within a system. For instance, in a multi-tenant cloud architecture where multiple users are hosted on the same server, a hacker might try to break into the data of other users hosted and stored on the same server. The following paper deals with the service models of cloud computing along with types of cloud computing & characteristics of cloud. Further challenges and security issues in cloud computing is also discussed and at last conclusion and future demand for research in the field of cloud computing.
A Technology Backgrounder to Serverless Architecture - A Whitepaper by RapidV...RapidValue
The concept of serverless architecture may not be very new but lately, it has been observed to be an emerging
trend in the cloud. The reason behind this is the simple fact that it has simplified life for developers by providing
them with ample time to code instead of using it to set up servers. The servers are set up by the cloud service
providers and this eliminates the need for managing anything else except for the environment in which it has
to execute. The benefits of employing serverless architecture are being talked about and businesses are on an
endeavor to leverage the function’s code that has to be uploaded along with it configuring it for maximum
output.
Cloud Native Architecture: Its Benefits and Key ComponentsAndrewHolland58
Learn about the benefits and key components of the cloud-native architecture that enable organizations to harness the power of the cloud and accelerate their digital transformation.
This document provides an overview of cloud computing, including definitions, common services, deployment models, and advantages. It defines cloud computing as using hardware and software over a network to deliver a service, with data stored on servers hosted by a third party. The main types of cloud computing models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Public, private, and hybrid cloud deployment models are also outlined.
Exploring Cloud Native Architecture: Its Benefits And Key ComponentsLucy Zeniffer
This is an article about cloud-native architecture. It discusses the benefits of cloud-native applications, such as faster development cycles, platform independence, and reduced costs. It also details the key components of cloud-native architecture, such as microservices, containers, and Kubernetes. Some of the essential points from this article are that cloud-native applications are highly scalable and resilient and that they can help businesses to achieve digital transformation.
Overview of Amazon Web Services - kwiecień 2017LCloud
Wartościowy przegląd chmury Amazon Web Services.
Opracowanie przygotowanie przez AWS, zawiera informacje o dostępnych modelach dostarczania chmury, usługach, bezpieczeństwie, zgodności, deploymencie, infrastrukturze.
The Ultimate Guide to Cloud Migration - A Whitepaper by RapidValueRapidValue
Digital transformation based on cloud-first strategy is a marathon. Any transformation journey which is disruptive and requires changing the core foundation of the organization can be very challenging. It is bound to fail unless the journey is planned with specific goals in mind, right roles and resources allocated to it, ‘as-is’ to ‘to-be state’ is mapped and implementation engine is fine-tuned.
Based on the experience of implementing numerous transformation projects for our global clients, RapidValue has formulated a BRAVE framework for cloud-first digital transformation.
The document discusses emerging trends in cloud computing, including the introduction of cloud of clouds or intercloud models, increased adoption of OpenStack and platforms-as-a-service, and the growth of big data as a service. It also covers how cloud computing will play a bigger role in mobile/social applications, the internet of things, hybrid cloud models, and more software-defined infrastructure. Major tech companies like IBM, Microsoft, Amazon, and Google are expected to invest over $1 billion annually in their global cloud networks.
Cloud computing delivers computing resources and services over the internet. It allows users to access technology and computing power through on-demand services. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage, networking, and computing resources. PaaS provides development platforms for building applications. SaaS provides software applications through a web browser. Cloud services can be public, private, hybrid, or community based depending on who controls the infrastructure.
The Benefits of Cloud Computing for Application Modernizationbasilmph
Application modernization is the process of updating outdated software to harness the potential of new computing approaches. This includes adapting to modern languages, tech frameworks, and cutting-edge infrastructure platforms. Sometimes referred to as legacy modernization, it bears a remarkable similarity to renovating an old home - it's all about capitalizing on enhancements in efficiency, safety, structural integrity, and more.
This document discusses the promises and realities of cloud computing. It outlines some of the key promises of cloud computing such as cost savings, increased computing power and automation, and infrastructure simplification. However, it also notes that while technology continues to evolve, users' experiences with the cloud vary and some organizations still question if the cloud can deliver on its promises. The document explores both the positive drivers for cloud adoption as well as areas like data control, performance, and security that are still works in progress.
The document discusses cloud computing, defining it as internet-based computing where scalable resources are provided as a service over the network. It outlines the key aspects of cloud computing including virtualization, software as a service, platform as a service, and infrastructure as a service. Major cloud providers like Amazon EC2, Google App Engine, and Microsoft Azure are described. Benefits of adopting cloud computing include flexibility, lower costs, and scalability. Potential drawbacks relate to data transfer speeds, vendor lock-in, and lack of interoperability.
The document discusses the shift in the IT industry towards cloud computing. It notes that cloud computing represents a new deployment option that offers flexible consumption of computing resources and storage on demand. While cloud computing promises potential cost savings and business agility, organizations need to carefully assess which workloads and applications are suitable for a cloud environment versus maintaining existing on-premises infrastructure. A hybrid approach that combines on-premises systems with cloud-based services may provide the optimal solution for most businesses.
Similar to Reimagine Application Modernization with Serverless Architecture (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
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2. Public | 3
Cloud computing has become the game-changer in reimagining technology in today’s digital
world. It has enabled organizations to focus less on IT infrastructure and more on business
functions, processes, and services. In fact, Cloud computing is no longer about hosted
infrastructure for as-a-service commercial models but a strategic imperative to survive and
thrive in the modern world.
Big Cloud service providers are investing millions of dollars and hours in developing
Cloud-native and automation technologies to help their customers develop secure, smart,
efficient, and scalable products and services with Serverless computing. Serverless architecture
is being used to fast-track customer initiatives to support app modernization programs that
accelerate the adoption of serverless technologies in legacy applications.
With the evolution of Cloud technologies, serverless architecture has seen an uphill trend
recently. According to a report by Mordor Intelligence on the Serverless computing market, a
growth rate of 23.17% (CAGR) has been predicted during the 2021-26 period. The increasing
adoption of Cloud-native apps and Internet of Things (IoT) applications will also provide growth
opportunities for Serverless infrastructure providers.
Benefitting
Unconditional
Development
Making
Reliable and Secure
Experimenting
With Less Risk
Faster
Time to Market
Lower
Cost
Higher
Revenue
Figure 1: Why Serverless?
Why
Serverless?
3. Public | 4
More than ever, businesses today can transform their business model with minimal overheads
for IT infrastructure. As a result, these businesses are clocking higher revenue, incurring lower
costs, achieving faster time to market, benefitting via unconditional development and
deployment, experimenting with lesser risk, and making applications more reliable and secure.
Serverless computing is a method of providing Cloud services on a pay-per-use basis. A
Serverless Cloud provider allows tenants to write and deploy code without the hassle of
managing the underlying infrastructure. While Cloud computing works on an on-demand
infrastructure that can scale up and down, Serverless computing operates on a pay-as-you-go
model (the consumer is charged only when their piece of code runs on a Serverless service). In a
nutshell, Serverless computing uses servers, but the support and maintenance of these
servers are delegated to a service provider. Some of the more well-known providers of
serverless computing include AWS Lambda, Microsoft Azure Functions, Google Cloud
Functions, and IBM OpenWhisk.
To better understand the difference between Serverless computing and traditional Cloud
Computing (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a
Service (SaaS)), we need to understand the individual stack’s responsibilities that are managed
by the vendors of IaaS, PaaS, or SaaS solutions (refer to figure 2). Before Serverless, the most
effective way to build SaaS applications was to develop Microservices and deploy them on a
PaaS. To understand Serverless better, split the application layer into two parts - client (who
runs the application on the browser or mobile) and server (that handles the client requests). As
a result, there is a faster development to deployment cycle, and the overall operation cost is
drastically reduced.
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Network
App Client
App Backend
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Network
Applications
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Network
Applications
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Network
Traditional IT IaaS PaaS
Serverless
(BaaS + FaaS) SaaS
Figure 2: Serverless Vs Traditional Cloud
You Manage Delivered as a Sevice
Data
Runtime
Middleware
OS
Virtualization
Servers
Storage
Network
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Although the Cloud provides on-demand scalability and enterprise-grade security, configuring
and managing environments is still a big challenge. The below-mentioned trends further
provide the tailwinds to reimagine infrastructure services.
Eliminate Time-Consuming Approach
Serverless applications allow developers to code in response to events. The code can
be deployed immediately while automatically scaling to meet demand. Products and
features can be released faster because Serverless leverages Microservices
architecture; developers can upload bits of code and release a new product feature (one
function at a time). This also makes it possible to quickly update, patch, or fix an
application without making changes to the entire application. As a result, development
teams become more productive and can bring products to market more quickly.
The digital ecosystem is continuously disrupting traditional businesses. New products,
services, and business models are the norm as new-age competitors continually change
the market dynamics. There is increasing prominence of adaptability and agility for
dynamic ecosystems. As a result, organizations are under tremendous pressure to
respond and adjust business models that meet consumers’ growing expectations.
Serverless computing provides a robust foundation where organizations can dare to
dream big and think differently.
Disruptive Business Models
In this era of real-time video streaming,
latency is a significant factor in any
architecture. Traditional approaches
and Cloud computing always struggled
to provide the right balance between
latency and setting up a data center
closer to the user base. In Serverless
architecture, the application is not
hosted on an origin server. Therefore, it
is possible to run application functions
on servers close to the end-user. This
reduces latency because requests from
the user no longer have to travel all the
way to an origin server.
Reduce Latency
Microservices-based easy-to-manage
functions and APIs are the heroes of
today. Long timelines of waterfall
project models are giving way to agile
delivery models with faster iterations
and small incremental deployments.
Cloud computing helps businesses
achieve this goal by letting the Cloud
Service Providers (CSPs) handle most
of the workload. It enables developers
to focus their efforts on business logic
and deliver more value to the business.
Improve Business Values
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Here is a characteristics snapshot of the Serverless architecture.
Since you are running code without any
host server, you will have significantly
less operational overhead on server
maintenance.
Hostless
In Serverless computing, every
architecture component is an
interoperable managed service. You can
aggregate these services together to
create higher order functions (i.e., your
business application). Hence, the
correlation with Lego blocks.
Lego Blocks
Having a distributed architecture also
means having a single region of high
availability. Serverless architecture can
use other availability zones that are still
up, even if one of them is failing in your
Cloud vendor's region.
High Availability
You will be able to scale from zero to the
maximum allowed, then back to zero,
mostly being managed automatically.
Elastic
Because Serverless computing is
stateless, all data must be kept on the
Backend-as-a-Service (BaaS) platform,
to inherently distribute the architecture.
Distributed
By not storing data in your application,
you will be able to spin up more
instances, without worrying about the
application state, to scale horizontally.
Stateless
You will have your architecture
components loosely coupled, making it
easier for you to introduce a new
function that listens to a change.
Event-Driven
Since you are not running your code on a
dedicated server, you are obligated to pay
only for what you use.
Usage-Based Cost
Hostless
Elastic Distributed
Event-Driven
High
Availability
Stateless
Lego Blocks
Usage-
Based Cost
Figure 3 : Go Serverless
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As we move towards an event and data-driven future, the ability to act
in real-time on data is gaining importance in digital businesses.
By combining Serverless technology with event-driven architectures,
businesses can optimize their Cloud costs without sacrificing
performance. Businesses can now focus on developing applications
and worry less about performance and infrastructure maintenance.
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Serverless functions are based on event-driven architectural
characteristics of Serverless computing. Specific events are triggered
and automatically run a piece of code in response. These events can
further trigger a sequence of events (based on the rules). The most
common way to use Serverless computing is to provide a function that
the Serverless computing platform will execute. As such, platforms
designed for this purpose are called Function-as-a-Service (FaaS)
systems. They typically allow small pieces of code represented as
functions to run for a limited amount of time (at most minutes), with
executions triggered by events or HTTP requests (or other triggers).
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Serverless architecture is best used while performing short-lived tasks and managing
workloads that experience unpredictable or infrequent traffic. Below are a few use cases for
Serverless computing.
Figure 4 : Use Cases
HTTP REST APIs
and web apps
Process multimedia
tasks
Schedule batch jobs,
especially when intense
parallel computation or
I/O is required
Continous integration
piplelines
Microservice orchestration to
support business logic
Handle input
from IoT sensors
Mobile backends
Change data capture
or database updates
Chatbots at
scale
Stream processing
at scale
Common Use
Cases
8. Public | 9
HTTP REST APIS
When a new container is deployed, a
Serverless function can be invoked to
scan the instance for security loopholes
or vulnerabilities. These functions are
also a more secure option than Secure
Shell (SSH) verification or a two-factor
authentication.
SECURITY CHECKS
Serverless architectures help automate
many of the stages in your Continuous
Integration/Continuous Deployment (CI
/CD) pipelines. For example, as
developers perform code commits, it
can trigger a function to create an
automated build via Jenkins, and pull
requests can trigger automated tests.
CONTINUOUS INTEGRATION
PIPELINES Serverless is ideal for structured text,
audio, image, and video data. It can be
used to perform tasks like data
enrichment, transformation, validation,
cleansing, normalization, image-
related operations (like rotation,
sharpening, etc.), optical character
recognition, or video transcoding.
MULTIMEDIA TASKS
Apache Kafka with FaaS and
database/storage may offer a
powerful solution for real-time build out
of data pipelines and streaming apps.
Such architectures are ideally suited for
working with all sorts of data stream
ingestions (for validation, cleansing,
enrichment, and transformation),
including IoT sensor data, application
log data, financial market data, and
business data streams (from other data
sources).
You can leverage Serverless API
Gateways to build RESTful APIs that
scale with demand.
DATA STREAM PROCESSING
Serverless architecture is the best fit for any business process where user activity
triggers an event or a series of events. For instance, a user signing up on your website
may trigger a user database change, which may, in turn, trigger a welcome email to
offer default discounts. All this backend work can be handled through a chain of
Serverless functions.
TRIGGER-BASED TASKS
ASYNCHRONOUS PROCESSING
Serverless functions can handle batch
jobs or behind-the-scenes application
tasks. It helps seamless rendering of
product information or transcoding
videos after upload, especially when
intense parallel computation is
required, eliminating user-facing
latency.
The Microservice model focuses on
creating small services that do a single
job and connect using APIs. Serverless
has gained significant momentum
while provisioning these Microservices
as it never charges for idle capacity.
MICROSERVICE
ORCHESTRATION
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You can optimize your IT cost by adopting the Serverless pay-as-you-go model.
When a company goes Serverless, it effectively outsources server and database
maintenance. You are no longer in charge of the massive investments necessary for
internal architecture management. The amount you may save will be determined
based on your use case. You only have to pay based on your actual consumption with
Serverless computing, so you do not have to waste money on servers that aren't being
used.
REDUCE COSTS
RAPID DEVELOPMENT AND DEPLOYMENT
Serverless architectures enhance the developer’s productivity by reducing the
complexity and effort to build, test and deploy codes. Serverless systems support
agile development protocols, allowing developers to focus only on writing their code
and accelerating the development process. Developers can release applications faster
to market and deliver quicker updates because of a reduced development period.
When it comes to setting up your infrastructure, Serverless computing can save
you time. You might be up and running and hosting apps in a production-ready
environment in minutes. One of the best features of Serverless computing is how easy
it is to use, and it is getting better everyday.
BUILT-IN SCALING
REDUCED TIME TO MARKET
By using a Serverless architecture, you can deploy apps faster with minuscule
lead time. Serverless architectures also enable running multiple versions of code to
meet tight deadlines and support multiple release cycles.
FASTER SET-UP
Similar to Cloud services, Serverless offerings have built-in scalability. Over or
under-provisioning happens automatically as you pay just for the service usage,
and the Serverless architecture infrastructure will grow or shrink based on demand.
FAILOVER
Disaster recovery is integrated into CSP offerings. Because Serverless
components are based on the pay-per-use model, setting up failover
infrastructure in paired regions of given geography comes at a fraction of the cost
compared to the traditional server-based architecture. The additional benefit is
bringing the recovery time down to near zero, making seamless switch over a
possibility at a fractional cost of existing setups.
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Efficient streamlined business
processes
Application Modernization of the Prepayment Fee Engine for
a Leading Wholesale Bank
These criteria had to be addressed as soon as possible to reduce financial losses and meet
deadlines.
After mapping out an elaborate plan, Opteamix developed the Prepayment Fee Calculation
Engine using an adapted Agile Framework, customized for efficient global delivery. The
deployment was carried out with the help of small teams to handle each of the different aspects
of upgrading the application (UI, Architecture, Centralization, etc.) while integrating multiple
modules to accelerate the time to market.
The client wanted to upgrade the Fee Prepayment application to:
Replace the legacy system
Opteamix began working closely with the technology and business teams to implement a
centralized and modified Prepayment Fee Calculation Engine using the AWS Serverless
Architecture (with AWS Lambda). The application was being developed with a more intuitive
User Interface (UI) to support the client's requirements.
Solution
Develop a centralized Prepayment Fee Calculation Engine
Enhance the User Interface (UI)
Incorporate parameters for all prepayment fee calculations in the new UI
Value Delivered
Public | 2
Prepayment Fee Engine: The application is used for Advance (Loan) Prepayment
Fee Calculations (taking into consideration the reclosure amount and other
interest factors).
Modernized Prepayment
Fee Calculation Engine
Quick prepayment fee
calculations
Integration with in-house
applications/modules
Advanced reporting and
analytics functionality
Enchanced Customer Service
Powerful pipelines
Includes features that take
automation to the next level
30-40 percent cost reduction
Reduced testing efforts
Decrease in need for
IT resources
Centralized Prepayment Fee
Calculation Engine and
Enhanced UI
Switching to Serverless
Architecture
11. With the suitable architectural considerations and impeccable due
diligence, Serverless presents a way forward to move from legacy
infrastructure to Cloud models. However, industry incumbents must
move away from the status quo and embrace this change. A
structured approach with a defined roadmap can play a vital
role - especially when the current software architecture paradigms for
many enterprises are based on the legacy monolithic models. In the
Serverless paradigm, the focus is not on infrastructure but on
delivering the required business values, which in turn changes the
economic model for IT service delivery. Serverless has already proved
its potential to enterprises leading to significant cost reductions
associated primarily with IT support and maintenance, reducing
time-to-market, and fostering innovation. Serverless computing is a
strategic imperative to gain an edge over competitors.
Opteamix has been working with its clients as their strategic
technology partner to implement their Cloud Migration and
Application Modernization Roadmaps. Success stories of Opteamix
Cloud Team have been around designing and implementing multiple
Modernization Projects on AWS Serverless Architecture
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Developing Serverless Cloud-Native Apps has helped our clients:
Scale with resilience and flexibility
Enhanced and embedded security
Self-healing
Easy customization and integration
No cost on OS management and utilization
Focus on the business logic in the code as the unit of deploy
12. Azad Muhamed heads Opteamix’s Cloud, Application
Modernization and Serverless practices. Azad has close
to 20 years of experience in solutioning, designing,
developing, and implementing complex enterprise
applications for well-known enterprises across the
globe. He has delivered projects across industries, from
Banking and Financial Services to Retail, Aviation, and
Telecom.
Azad is our go-to expert in providing technical solutions
and designing applications for enterprises leveraging
native Cloud services such as AWS Lambda, Amazon
DynamoDB, etc., using Serverless architecture patterns.
Public | 13
13. USA
9609 S. University Blvd.
#631994
Littleton
CO 80163
+1 (303) 683-6454
INDIA
+91 80 4667 1666
Brigade Software Park
Opteamix, A Block, 2nd
Floor
27th
Cross Road
Banashankari Stage II
Bengaluru 560070
Contact us
Visit us at
www.opteamix.com
Opteamix is a digital automation technology consulting firm with deep expertise in Application
Development, Robotic Process Automation, AI, DevOps, Enterprise Mobility, and Test
Automation Services. As a next-generation technology firm, we work on innovative technologies
to automate and digitally transform our client’s businesses.
From building innovative financial service platforms and managing applications that aid in
administering health benefits to automating business processes, we help develop and maintain
mission-critical applications vital to our client’s business. Opteamix leverages Agile and SAFe
methodologies to deliver projects using global teams that help us deliver positive outcomes for
our clients at an optimized cost and faster time to market. We are headquartered in Denver,
Colorado, with a wholly-owned delivery center in Bengaluru, India.
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