- The document discusses open interfaces and integrated lifecycle tools through linked data and open standards like OSLC, taking inspiration from principles of the World Wide Web.
- It promotes using open protocols like REST and HTTP for tool integration instead of tight coupling, and outlines guidelines for using URIs, HTTP, and semantic standards like RDF and SPARQL to represent and share resource data on the web.
- OSLC is presented as a solution for lifecycle integration across requirements management, quality management, change management and other tools using common resource definitions and linked data over open APIs.
Codemotion Rome 2018 "Continuous Delivery with Containers: The Good, the Bad ...Daniel Bryant
Implementing a continuous delivery (CD) pipeline is not trivial, and the introduction of container technology to the development stack can introduce additional challenges and requirements. In this talk we will look at the high-level steps that are essential for creating an effective pipeline for creating and deploying containerized applications. Topic covered include: * The impact of containers on CD * Adding metadata to container images * Validating NFR changes imposed by executing Java applications within a container * Lessons learned the hard way (in production)
Language: English
Level: Intermediate
12-factor applications using WAS Liberty, IBM Bluemix, and DockerErin Schnabel
The 12-factor app is a methodology for building applications that are portable, can be maintained easily in a continuous delivery pipeline, and are great for running on a cloud-based Platform-as-a-Service such as IBM Bluemix or with docker containers. This session provides a factor-by-factor guide to building 12-factor applications on WAS Liberty and IBM Bluemix, giving attendees the chance to see them in real-life context rather than as abstract concepts.
Codemotion Rome 2018 "Continuous Delivery with Containers: The Good, the Bad ...Daniel Bryant
Implementing a continuous delivery (CD) pipeline is not trivial, and the introduction of container technology to the development stack can introduce additional challenges and requirements. In this talk we will look at the high-level steps that are essential for creating an effective pipeline for creating and deploying containerized applications. Topic covered include: * The impact of containers on CD * Adding metadata to container images * Validating NFR changes imposed by executing Java applications within a container * Lessons learned the hard way (in production)
Language: English
Level: Intermediate
12-factor applications using WAS Liberty, IBM Bluemix, and DockerErin Schnabel
The 12-factor app is a methodology for building applications that are portable, can be maintained easily in a continuous delivery pipeline, and are great for running on a cloud-based Platform-as-a-Service such as IBM Bluemix or with docker containers. This session provides a factor-by-factor guide to building 12-factor applications on WAS Liberty and IBM Bluemix, giving attendees the chance to see them in real-life context rather than as abstract concepts.
cross cloud inter-operability with iPaaS and serverless for Telco cloud SDN/NFVKrishna-Kumar
An overview of how SDN/NFV can be orchestrated with serverless and iPaas environment typically in Hybrid Cloud world. Cross cloud inter-operability for Telco cloud.
SoftwareCircus 2020 "The Past, Present, and Future of Cloud Native API Gateways"Daniel Bryant
An API gateway is at the core of how APIs are managed, secured, and presented within any web-based system. Although the technology has been in use for many years, it has not always kept pace with recent developments within the cloud native space, and many engineers are confused about how a cloud native API gateway relates to Kubernetes Ingress or a Service load balancer.
Join this session to learn about:
– The evolution of API gateways over the past ten years, and how the original problems they were solving have shifted in relation to cloud native technologies and workflow
– Current challenges of using an API gateway within Kubernetes: scaling the developer workflow; and supporting multiple architecture styles and protocols
– Strategies for exposing Kubernetes services and APIs at the edge of your system
– A brief guide to the (potential) future of cloud native API gateways
microXchg 2018: "What is a Service Mesh? Do I Need One When Developing 'Cloud...Daniel Bryant
While service meshes may be the next "big thing" in microservices, the concept isn't new. Classical SOA attempted to implement similar technology for abstracting and managing all aspects of service-to-service communication, and this was often realized as the much-maligned Enterprise Service Bus (ESB). Several years ago similar technology emerged from the microservice innovators, including Airbnb (SmartStack for service discovery), Netflix (Prana integration sidecars), and Twitter (Finagle for extensible RPC), and these technologies have now converged into the service meshes we are currently seeing being deployed.
In this talk, Daniel Bryant will share with you what service meshes are, why they're well-suited for microservice deployments, and how best to use a service mesh when you're deploying microservices. This presentation begins with a brief history of the development of service meshes, and the motivations of the unicorn organisations that developed them. From there, you'll learn about some of the currently available implementations that are targeting microservice deployments, such as Istio/Envoy, Linkerd, and NGINX Plus
Overcoming Regulatory & Compliance Hurdles with Hybrid Cloud EKS and Weave Gi...Weaveworks
In this webinar we will be discussing how Dream 11, the world’s largest fantasy sports platform, and its large-scale distributed cloud can meet regulatory requirements while still taking advantage of the benefits that cloud native technologies like EKS and Weave GitOps present.
Topics we are covering include:
How you can utilize EKSD (AWS’ open source EKS distribution) and EKS (managed Kubernetes in the cloud) to establish common operational workflows that minimize operational overhead
How to lower operational costs with the use of ephemeral cloud environments for development, testing and even production
How to maintain compliance by enabling clear operational controls and auditability
The New Open Distributed Application ArchitectureGordon Haff
The platform for developing and running modern workloads has changed. This new platform brings together the open source innovation being driven in containers and container packaging, in distributed resource management and orchestration, and in DevOps toolchains and processes to deploy infrastructure and management optimized for the new class of distributed application that is becoming the norm.
In this session, Red Hat's Gordon Haff discusses the key trends coming together to change IT infrastructure and the applications that will run on it. These include:
Container-based platforms designed for modern application development and deployment
The ability to design microservices-based applications using modular and reusable parts
The orchestration of distributed components
Data integration with mobile and Internet-of-Things services
Iterative development, testing, and deployment using Platform-as-a-Service and integrated continuous delivery systems
Talking architecture shop - Exploring open source success at scaleEric D. Schabell
You've heard of large scale open source architectures, but have you ever wanted to take a serious look at these real life enterprise implementations that scale? This session takes attendees on a tour of multiple use cases covering enterprise challenges like integration, optimisation, cloud adoption, hybrid cloud management, and much more. Not only are these architectures interesting, but they are successful real life implementations featuring open source technologies and power many of your own online experiences.
The attendee departs this session with a working knowledge of how to map general open source technologies to their solutions. Material covered is available freely online and attendees can use these solutions as starting points for aligning to their own solution architectures. Join us for an hour of power as we talk architecture shop!
DevOpsCon 2020: The Past, Present, and Future of Cloud Native API GatewaysDaniel Bryant
An API gateway is at the core of how APIs are managed, secured, and presented within any web-based system. Although the technology has been in use for many years, it has not always kept pace with recent developments within the cloud native space, and many engineers are confused about how a cloud native API gateway relates to Kubernetes Ingress or a Service load balancer.
Join this session to learn about:
– The evolution of API gateways over the past ten years, and how the original problems they were solving have shifted in relation to cloud native technologies and workflow
– Current challenges of using an API gateway within Kubernetes: scaling the developer workflow; and supporting multiple architecture styles and protocols
– Strategies for exposing Kubernetes services and APIs at the edge of your system
– A brief guide to the (potential) future of cloud native API gateways
JAX DevOps 2018 "Continuous Delivery Patterns for Modern Architectures"Daniel Bryant
Modern software development architecture has almost completed its evolution towards being properly component-based: this can be seen by the mainstream embracing Self Contained Systems (SCS), microservices, and serverless. We all know the benefits this can bring, but there can be many challenges delivering applications built using these styles in a continuous, safe, and rapid fashion.
This talk presents a series of patterns based on real-world experience, which will help architects identify and implement solutions for continuous delivery of contemporary architectures. Key topics and takeaways include:
- Core stages in the component delivery lifecycle: develop, test, deploy, operate and observe
- How contemporary architectures impact continuous delivery
- Modifying the build pipeline for testability and deployability of components (with a hat tip to Jez Humble and Dave Farley’s seminal work)
- Commonality between delivery of SCS, microservices and serverless components
- Continuous delivery, service contracts and end-to-end validation: The good, bad and ugly
- Lessons learned in the trenches
Weave GitOps - continuous delivery for any KubernetesWeaveworks
Weave GitOps is a continuous delivery product to run apps in any Kubernetes. Weave GitOps accelerates the cloud native transformation empowering developers and creating a meaningful connection between infrastructure and business objectives.
Cloud native companies are faster, more resilient, fulfill market needs better than the competition and even create new markets with less upfront investment. How? By delivering applications to Kubernetes and by continuously operating in multi cloud environments. Weave GitOps strives to make these processes reliable, secure and repeatable at scale by allowing developers and operators to collaborate in a single place, Git.
We’ve rearranged our portfolio to offer one product with two tiers: a free and open source product called Weave GitOps Core and a paid tier called Weave GitOps Enterprise (previously called Weave Kubernetes Platform, our flagship product).
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S7lDiS.
Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability. Filmed at qconsf.com.
Sasha Rosenbaum is a Program Manager on the Azure DevOps engineering team, focused on improving the alignment of the product with open source software. She is a co-organizer of the DevOps Days Chicago and the DeliveryConf conferences, and recently published a book on Serverless computing in Azure with .NET.
Simplifying AI integration on Apache SparkDatabricks
Spark is an ETL and Data Processing engine especially suited for big data. Most of the time an organization has different teams working on different languages, frameworks and libraries, which needs to be integrated in the ETL Pipelines or for general data processing. For example, a Spark ETL job may be written in Scala by data engineering team, but there is a need to integrate a machine learning solution written in python/R developed by Data Science team. These kinds of solutions are not very straightforward to integrate with spark engine, and it required great amount of collaboration between different teams, hence increasing overall project time and cost. Furthermore, these solutions will keep on changing/upgrading with time using latest versions of the technologies and with improved design and implementation, especially in Machine Learning domain where ML models/algorithms keep on improving with new data and new approaches. And so there is significant downtime involved in integrating the these upgraded version.
This slide walks through from what is cloud native apps, and then introduces how can we setup and avoid the single point of failure in the Kubernetes cluster as well as Service Mesh. Mr Phuong Le and I take time to present it to the community in Vietnam via Vietnam Web Summit event in Dec 2018.
The old API Pattern was designed in the 70's for centralized architectures and binds it's communication logic to it's business logic so that I/O cannot be shared with other services in an architecture without duplication.
We will show a new API Pattern that fixes this issues by abstraction the communication layer away from business logic thus enabling sharing of I/O, better scale, less code, and faster processing as well as many other things.
cross cloud inter-operability with iPaaS and serverless for Telco cloud SDN/NFVKrishna-Kumar
An overview of how SDN/NFV can be orchestrated with serverless and iPaas environment typically in Hybrid Cloud world. Cross cloud inter-operability for Telco cloud.
SoftwareCircus 2020 "The Past, Present, and Future of Cloud Native API Gateways"Daniel Bryant
An API gateway is at the core of how APIs are managed, secured, and presented within any web-based system. Although the technology has been in use for many years, it has not always kept pace with recent developments within the cloud native space, and many engineers are confused about how a cloud native API gateway relates to Kubernetes Ingress or a Service load balancer.
Join this session to learn about:
– The evolution of API gateways over the past ten years, and how the original problems they were solving have shifted in relation to cloud native technologies and workflow
– Current challenges of using an API gateway within Kubernetes: scaling the developer workflow; and supporting multiple architecture styles and protocols
– Strategies for exposing Kubernetes services and APIs at the edge of your system
– A brief guide to the (potential) future of cloud native API gateways
microXchg 2018: "What is a Service Mesh? Do I Need One When Developing 'Cloud...Daniel Bryant
While service meshes may be the next "big thing" in microservices, the concept isn't new. Classical SOA attempted to implement similar technology for abstracting and managing all aspects of service-to-service communication, and this was often realized as the much-maligned Enterprise Service Bus (ESB). Several years ago similar technology emerged from the microservice innovators, including Airbnb (SmartStack for service discovery), Netflix (Prana integration sidecars), and Twitter (Finagle for extensible RPC), and these technologies have now converged into the service meshes we are currently seeing being deployed.
In this talk, Daniel Bryant will share with you what service meshes are, why they're well-suited for microservice deployments, and how best to use a service mesh when you're deploying microservices. This presentation begins with a brief history of the development of service meshes, and the motivations of the unicorn organisations that developed them. From there, you'll learn about some of the currently available implementations that are targeting microservice deployments, such as Istio/Envoy, Linkerd, and NGINX Plus
Overcoming Regulatory & Compliance Hurdles with Hybrid Cloud EKS and Weave Gi...Weaveworks
In this webinar we will be discussing how Dream 11, the world’s largest fantasy sports platform, and its large-scale distributed cloud can meet regulatory requirements while still taking advantage of the benefits that cloud native technologies like EKS and Weave GitOps present.
Topics we are covering include:
How you can utilize EKSD (AWS’ open source EKS distribution) and EKS (managed Kubernetes in the cloud) to establish common operational workflows that minimize operational overhead
How to lower operational costs with the use of ephemeral cloud environments for development, testing and even production
How to maintain compliance by enabling clear operational controls and auditability
The New Open Distributed Application ArchitectureGordon Haff
The platform for developing and running modern workloads has changed. This new platform brings together the open source innovation being driven in containers and container packaging, in distributed resource management and orchestration, and in DevOps toolchains and processes to deploy infrastructure and management optimized for the new class of distributed application that is becoming the norm.
In this session, Red Hat's Gordon Haff discusses the key trends coming together to change IT infrastructure and the applications that will run on it. These include:
Container-based platforms designed for modern application development and deployment
The ability to design microservices-based applications using modular and reusable parts
The orchestration of distributed components
Data integration with mobile and Internet-of-Things services
Iterative development, testing, and deployment using Platform-as-a-Service and integrated continuous delivery systems
Talking architecture shop - Exploring open source success at scaleEric D. Schabell
You've heard of large scale open source architectures, but have you ever wanted to take a serious look at these real life enterprise implementations that scale? This session takes attendees on a tour of multiple use cases covering enterprise challenges like integration, optimisation, cloud adoption, hybrid cloud management, and much more. Not only are these architectures interesting, but they are successful real life implementations featuring open source technologies and power many of your own online experiences.
The attendee departs this session with a working knowledge of how to map general open source technologies to their solutions. Material covered is available freely online and attendees can use these solutions as starting points for aligning to their own solution architectures. Join us for an hour of power as we talk architecture shop!
DevOpsCon 2020: The Past, Present, and Future of Cloud Native API GatewaysDaniel Bryant
An API gateway is at the core of how APIs are managed, secured, and presented within any web-based system. Although the technology has been in use for many years, it has not always kept pace with recent developments within the cloud native space, and many engineers are confused about how a cloud native API gateway relates to Kubernetes Ingress or a Service load balancer.
Join this session to learn about:
– The evolution of API gateways over the past ten years, and how the original problems they were solving have shifted in relation to cloud native technologies and workflow
– Current challenges of using an API gateway within Kubernetes: scaling the developer workflow; and supporting multiple architecture styles and protocols
– Strategies for exposing Kubernetes services and APIs at the edge of your system
– A brief guide to the (potential) future of cloud native API gateways
JAX DevOps 2018 "Continuous Delivery Patterns for Modern Architectures"Daniel Bryant
Modern software development architecture has almost completed its evolution towards being properly component-based: this can be seen by the mainstream embracing Self Contained Systems (SCS), microservices, and serverless. We all know the benefits this can bring, but there can be many challenges delivering applications built using these styles in a continuous, safe, and rapid fashion.
This talk presents a series of patterns based on real-world experience, which will help architects identify and implement solutions for continuous delivery of contemporary architectures. Key topics and takeaways include:
- Core stages in the component delivery lifecycle: develop, test, deploy, operate and observe
- How contemporary architectures impact continuous delivery
- Modifying the build pipeline for testability and deployability of components (with a hat tip to Jez Humble and Dave Farley’s seminal work)
- Commonality between delivery of SCS, microservices and serverless components
- Continuous delivery, service contracts and end-to-end validation: The good, bad and ugly
- Lessons learned in the trenches
Weave GitOps - continuous delivery for any KubernetesWeaveworks
Weave GitOps is a continuous delivery product to run apps in any Kubernetes. Weave GitOps accelerates the cloud native transformation empowering developers and creating a meaningful connection between infrastructure and business objectives.
Cloud native companies are faster, more resilient, fulfill market needs better than the competition and even create new markets with less upfront investment. How? By delivering applications to Kubernetes and by continuously operating in multi cloud environments. Weave GitOps strives to make these processes reliable, secure and repeatable at scale by allowing developers and operators to collaborate in a single place, Git.
We’ve rearranged our portfolio to offer one product with two tiers: a free and open source product called Weave GitOps Core and a paid tier called Weave GitOps Enterprise (previously called Weave Kubernetes Platform, our flagship product).
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S7lDiS.
Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability. Filmed at qconsf.com.
Sasha Rosenbaum is a Program Manager on the Azure DevOps engineering team, focused on improving the alignment of the product with open source software. She is a co-organizer of the DevOps Days Chicago and the DeliveryConf conferences, and recently published a book on Serverless computing in Azure with .NET.
Simplifying AI integration on Apache SparkDatabricks
Spark is an ETL and Data Processing engine especially suited for big data. Most of the time an organization has different teams working on different languages, frameworks and libraries, which needs to be integrated in the ETL Pipelines or for general data processing. For example, a Spark ETL job may be written in Scala by data engineering team, but there is a need to integrate a machine learning solution written in python/R developed by Data Science team. These kinds of solutions are not very straightforward to integrate with spark engine, and it required great amount of collaboration between different teams, hence increasing overall project time and cost. Furthermore, these solutions will keep on changing/upgrading with time using latest versions of the technologies and with improved design and implementation, especially in Machine Learning domain where ML models/algorithms keep on improving with new data and new approaches. And so there is significant downtime involved in integrating the these upgraded version.
This slide walks through from what is cloud native apps, and then introduces how can we setup and avoid the single point of failure in the Kubernetes cluster as well as Service Mesh. Mr Phuong Le and I take time to present it to the community in Vietnam via Vietnam Web Summit event in Dec 2018.
The old API Pattern was designed in the 70's for centralized architectures and binds it's communication logic to it's business logic so that I/O cannot be shared with other services in an architecture without duplication.
We will show a new API Pattern that fixes this issues by abstraction the communication layer away from business logic thus enabling sharing of I/O, better scale, less code, and faster processing as well as many other things.
Not all the WEB APIs are RESTful, some are just plain RPC.
REST is an architecture style.
The video attached to these slides.
https://www.youtube.com/watch?v=M28aBbtdWj4
A BASILar Approach for Building Web APIs on top of SPARQL EndpointsEnrico Daga
Presented at #SALAD2015
The heterogeneity of methods and technologies to publish open data is still an issue to develop distributed systems on the Web. On the one hand, Web APIs, the most popular approach to offer data services, implement REST principles, which focus on addressing loose coupling and interoperability issues. On the other hand, Linked Data, available through SPARQL endpoints, focus on data integration between distributed data sources. We proposes BASIL, an approach to build Web APIs on top of SPARQL endpoints, in order to benefit of the advantages from both Web APIs and Linked Data approaches. Compared to similar solution, BASIL aims on minimising the learning curve for users to promote its adoption. The main feature of BASIL is a simple API that does not introduce new specifications, formalisms and technologies for users that belong to both Web APIs and Linked Data communities.
APIs are one of the main elements of cloud services. All major cloud service providers expose REST APIs to allow you to programmatically access their services and capabilities. SOAP and REST are the two most common ways of exposing APIs, whether to external, partner, cloud, or internal developers.
The concept of API management is to publish these web APIs for consumption, and includes capabilities such as monitoring, security, and documentation.
This presentation introduces basic concepts of APIs, API management, cloud REST services, and a brief walkthrough of WSO2 API Manager and the Oracle API Gateway to see how you can centrally publish, expose, and secure APIs, essentially virtualizing your backend services.
The Query Service is the new platform solution for querying a variety of data sources. The goal of Query Service is that administrators can configure a metadata description of the data source that can then be used by end users without detailed knowledge of the underlying data source. This session explains how to configure Query Service data sources and use them with the RESTful API or component collection.
During the past years, the data deluge that prevails in the World
Wide Web has been accompanied by a number of APIs that
expose business logic. In this paper, we discuss a novel approach
to enrich existing API standards definitions with business rules.
Taking advantage of the REST principles, we aim at enabling the
creation of generic clients that can dynamically navigate through
semantically enriched web affordances with the help of Hydrabased
Hypermedia API descriptions, which encapsulate the finite
state machine of possible actions into SWRL rules.
Enterprise guide to building a Data MeshSion Smith
Making Data Mesh simple, Open Source and available to all; without vendor lock-in, without complex tooling and to use an approach centered around ‘specifications’, existing tools and baking in a ‘domain’ model.
This is a must-read for all engineers interested in developing a Micro services architecture. Turn your monolithic server into a prolific and multiple instance solution! Includes well-known example such as Netflix. Please contact me for more details.
Managing multiple SBCs across a complex network requires provisioning, coordination of routing-plans, performance monitoring and much more from a centralized network operations center. In this session, we take a look at using RESTful APIs as a means to manage SBCs - automating provisioning, configuration, diagnostics and other functions.
We'll also share stories from two ProSBC customers that have used RESTful APIs to manage their network configuration, making adding new subscribers easier and reducing the risk of fraud.
Similar to Innovate2014 Better Integrations Through Open Interfaces (20)
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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!
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. • Overview & Background
• Problem statement
• Approaches to the problem
• Lessons learned
• Examples in open source
• Open interfaces
• What next
Outline
1
12. Integrate with open protocols instead of unnatural adhesion
@ http://open-services.net
Open Interfaces.
Planning &
Tracking
Continuous
Testing
Customer
Needs
Helpdesk
Monitoring
13. Got links?
1. Use URIs as names for things
2. Use HTTP URIs so that people can look up those names.
3. When someone looks up a URI, provide useful
information, using the standards (RDF*, SPARQL)
4. Include links to other URIs. so that they
can discover more things.
Simple.
Linked Data: Tim Berners-Lee
14. Automation
Monitoring
Open Services for Lifecycle Collaboration
Lifecycle integration inspired by the web
Built off of W3C Linked Data
Domain-specific needs:
Web UIs, domain models, protocol, …
Open Services for Lifecycle Collaboration
Inspired by the web
Proven
Free to use and share
Open
Changing the industry
Innovative
Open APIs and Semantically Enriched Data Models
More at http://open-services.net
W3C Linked Data
Simple guidelines for REST APIs
Consistency across Web resources (data)
Web based loosely-coupled approach to integrating tools and services
17. Interact.
LINKED DATA PLATFORM
TestCas
e 14
Issue
973
Bug
318
Apach
e
Jo
e
GET /bugs/123
GET /bugs/
POST /bugs/
{“dc:title”: “Server crash”;
“oslc:severity” : “oslc:Blocker”;}
FETCH
LIST
ADD
18. Lifecycle
Tool
Change
Management
Lifecycle Tool
Quality Management
Lifecycle
Tool
Requirements
Management
Service
Management
Help Desk
Service
Management
Deployment
Leverage and Extend
<http://cm/bugs/2314>
a oslc_cm:ChangeRequest ;
dcterms:relation <http://cm/bugs/1235>;
oslc_cm:implementsRequirement <http://rm/req/56> .
<http://rm/req/56>
a oslc_rm:Requirement ;
dcterms:title “Online shopping cart”;
oslc_rm:validatedBy <http://qm/tc/17> .
Common Resource Definitions
Resource Preview
Delegated Dialogs
http://open-services.net
24. OSLC’s Big Picture
Open Services for Lifecycle Collaboration
Lifecycle integration inspired by the web
LINKED DATA PLATFORM WORKING GROUP
The Resource
for OSLC
Implementers
Inspired by the web
Proven
Free to use and share
Open
Changing the industry
InnovativeOSLC:
Tests, Libraries, Samples,
Examples,
Reference Implementations
Scenario-driven &
Solution-oriented
Generally applicable: specs available for many
domains covering ALM, DevOps, ISM, and PLM
Leading choice for
strategic integration
technology
25. 24
Technical Committees are Driving Growth of Participation
Member Section Co-Founders
OSLC – Who’s involved?
26. OSLC – Who’s involved?
Accenture
Advanced Computational
Research
Alcatel-Lucent
APG
Atego
BigLever
Black Duck
Boeing
BSD Group
CESAR
Citigroup
ClearBlade
CloudOne
CM-Logic
Corso
Creative Intellect Consulting
EADS
Emphasys
Empulsys
Ericsson
fluid Operations
Galorath
General Dynamics C4 Systems
General Motors
IBM
Icaro Technologies
iFEST
Institut TELECOM
Integrate Systems Engineering
IRIS
Koneksys
Kovair
KTH
Mentor Graphics
MobileSmith
NASA Jet Propulsion Laboratory
Northrop Grumman
OFFIS
Oracle
Orb Data
Perforce
Phunware
PointSource
Price Systems
QSM
Ravenflow
SCM Solution
Shell
Siemens
Sogeti
SourceGear
SPRINT
State Street
Stoneworks Software
Tasktop
Taxal
Thales
Tieto
TOPIC Embedded Systems
UrbanCode
Virtual Vehicle
Washington Metropolitan Area
Transit Authority
WebLayers
http://open-services.net/organizations/