This document provides an overview of cloud computing, including key concepts, components, and deployment models. Some main points:
- Cloud computing provides on-demand access to configurable computing resources, such as servers, storage, databases and software, over the internet on a pay-as-you-go basis.
- The main types of cloud services are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and computing resources, PaaS provides development tools and platforms, and SaaS provides software applications.
- Cloud services can be deployed via public, private or hybrid models. Public clouds are
Software as a Service (SaaS), on demand software, is a software delivery model in which software and its associated data are hosted centrally and accessed using a thin-client, usually a web browser over the internet.
Software as a Service (SaaS), on demand software, is a software delivery model in which software and its associated data are hosted centrally and accessed using a thin-client, usually a web browser over the internet.
Infrastructure as a Service ( IaaS) is one of the three fundamental services in cloud computing. IaaS provides access to basic computing resources such as hardware- processor, storage , network cards and more
101 topic, providing basic overview of types of clouds(public, private or hybrid ), Cloud service models, SaaS, PaaS and IaaS etc.
I also introduce cloud bursting, balancing and the Cloud management platforms
The idea is to help people raise with more questions and start digging deeper into relevant subjects.
Datapipe Chief Technology and Security Officer Joel Friedman takes delegates at Cloud Expo Asia 2015 through the key pillars of a successful public cloud security approach.
IaaS, PaaS, SaaS - these are terms you may have heard, but do you know the difference? Understanding the cloud stack is an important step in transitioning to the cloud.
Infrastructure as a Service ( IaaS) is one of the three fundamental services in cloud computing. IaaS provides access to basic computing resources such as hardware- processor, storage , network cards and more
101 topic, providing basic overview of types of clouds(public, private or hybrid ), Cloud service models, SaaS, PaaS and IaaS etc.
I also introduce cloud bursting, balancing and the Cloud management platforms
The idea is to help people raise with more questions and start digging deeper into relevant subjects.
Datapipe Chief Technology and Security Officer Joel Friedman takes delegates at Cloud Expo Asia 2015 through the key pillars of a successful public cloud security approach.
IaaS, PaaS, SaaS - these are terms you may have heard, but do you know the difference? Understanding the cloud stack is an important step in transitioning to the cloud.
Overview of SaaS and online services and the business reasons why organisations should be considering these. Delivered by Ben Kepes at Intergen's ON seminar series in May 2010.
Cloud Computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud Computing is both a combination of software and hardware based computing resources delivered as a network service.
Basic Concepts:
There are certain services and models working behind the scene making the cloud computing feasible and accessible to end users. Following are the working models for cloud computing:
1. Deployment Models
2. Service Models
Cloud computing is quickly becoming the standard way for technology companies to access IT infrastructure, software and hardware resources. The technology enables companies to be able to use applications and other resources managed by third party companies that are stored in high-end server computers and networks. Cloud computing helps businesses to be more efficient and save on software and hardware that are important for different operations.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. Our World Today
• Agility/flexibility of technology – implying a power shift
• Always on – ubiquitous
• Real time information and immediate feedback
• Provides
– New distribution channels
– Early warning through the blogosphere
– Radical transparency
– Dynamic, ad hoc sharing and collaboration
3. Congruent and Converging Forces
...that compete
●
If you accept...
●
There is an unquenchable
thirst for collaboration and
sharing
●
We can work anywhere at any
time
●
highly mobile workforce
●
You can work wherever you
are – at home,traveling, etc.
4. “The Cloud”
A style of computing where massively scalable (and
elastic) IT-related capabilities are provided “as a
service” to external customers using Internet
technologies.
Whatᾼ s new?
Acquisition Model: Business Model: Access Model: Over Technical Model:
Based on Based on pay for the Internet to ANY Scalable, elastic,
purchasing use device dynamic, multi-
of services tenant, & sharable
5. “Enabling the
Cloud Environment”
Infrastructure Software
Network-Centric
Consolidation Services
Global Information SAAS
Processes
Grid ITIL
Capacity Services Security (Certification &
Virtualization Accreditation (C&A))
Rapid Provisioning Computing Service Provider
Facility Analysis (CSP) Analysis
6. “Enabling the
Cloud Environment”
Infrastructure Software
Network-Centric
Consolidation Services
Global Information SAAS
Processes
Grid ITIL
Capacity Services Security (Certification &
Virtualization Accreditation (C&A))
Rapid Provisioning Computing Service Provider
Facility Analysis (CSP) Analysis
7. “Components to Cloud
Computing”
Platform-As-A-Service (PaaS)
Delivers a computing platform and/or solution stack as a service.
Facilitates deployment of applications without the cost and
complexity of buying and managing the underlying hardware
and software layers.
Infrastructure-As-A-Service (IaaS)
The delivery of computer IasS, typically platform virtualization
For example:
• Virtual desktops
• Grid computing
8. “Components to Cloud
Computing(contd.)”
Applications-As-A-Service (AaaS) /Software-As-A-Service
(SaaS)
Leverages the Cloud in software architecture
Eliminates the need to install and run the application on the
customer's own computer
Type:
• Commercial
• Government
9. “Software as a Service (SaaS)”
Challenge SaaS Provider(s)
• 3M+ user baseline, continually changing and growing • Manage software on “usage” basis
• Dynamic requirements • Established negotiated prices
• Software acquisition lead time • Include future versions/releases
• Outyear capital projection for technology infusion • Provide maintenance and patches
Examples
• Enterprise Email
• Host Based Security Solution
• Back-up & recovery
10. “Platform as a Service Overview
(PaaS)”
Allow businesses to build and run web-based, custom applications in an on-
demand fashion
Developers have access to specific tools and libraries, while also controlling
software deployment and configuration settings
Paas service provides the networks,
servers, and storage
Customers have access to unlimited
computing power, while decreasing
upfront costs
11. “Types of PaaS Solutions”
The following list breaks down the four types of Platform as a service (PaaS) solutions:
1) Stand Alone Business Application Platforms- Development
tools used to design and deploy software. This model has numerous benefits including
advanced security, scalability, no additional hardware costs, and no software licensing
fees.
2) Social Application Development Platforms- This type of platform
is used to develop applications for social websites like Google+ and Facebook. This is
done by integrating an Application Programming Interface (API) with the social website
platform.
3) Web-Based Application Add-On Platforms- This type of Platform
allows a user to modify and add features to existing Software as a Service (SaaS).
4) Open-Computing Platforms- This form of PaaS supports applications
that are written in numerous types of code and that use any type of database,
operating system, and server.
12. “IaaS – Infrastructure as a Service”
Its a provision model in which an organization outsources the equipment used to
support operations, including storage, hardware, servers and networking
components
Characteristics and components of IaaS include:
Utility Computing service andbilling model.
Automation of administrative tasks.Dynamic scaling.
DesktopVirtualization.
Policy-based services.
Internet connectivity.
13. “Deployment models”
Public cloud
Public cloud applications, storage, and
other resources are made available to
the general public by a service
provider.
Services are free or offered on a pay-
per-use model.
Amazon AWS, Microsoft and Google
own and operate the infrastructure and
offer access only via Internet
14. “Deployment models(contd..)”
Private cloud
●
Cloud infrastructure operated
solely for a single organization
hosted internally or externally.
Undertaking a private cloud project
requires a significant level
Degree of engagement to virtualize
the business environment,
decisions about existing resources
15. “Cloud Architecture”
The systems architecture of the software
systems involved in the delivery of cloud
Computing
Typically involves multiple cloud
components communicating with
each other over a loose coupling
mechanism such as a messaging queue.
Elastic provision implies intelligence
in the use of tight or loose coupling as
applied to mechanisms such as these
and others.