The document provides best practices and lessons learned from implementing Oracle API Platform. It discusses the importance of API management and outlines the key steps in the API lifecycle. It also summarizes the steps recommended for a successful API Platform implementation, including discovery workshops, architecture design, installation tips, and an API design process leveraging API-first principles.
SAP Integration: Best Practices | MuleSoftMuleSoft
Many organizations who utilize SAP as their ERP solution struggle to integrate SAP with other systems in their enterprise. Without integration to SAP, these organizations fail to automate and to optimize their business processes. However, many approaches to integrating with SAP are complex, expensive, and difficult to employ.
Mariano Capurro, Technical Engineering Manager at MuleSoft, discussed the fundamental SAP integration building blocks, SAP integration alternatives, how the MuleSoft SAP connector makes integration simple and effective, and common use cases for the MuleSoft SAP connector.
Topics of this session will include:
- Fundamental SAP Integration building blocks, including IDocs, BAPIs and JCo
- SAP Integration alternatives
- Using the SAP Connector
- Common use cases
Presenter:
Mariano Capurro, Technical Engineering Manager, MuleSoft
Technical Engineering Manager, MuleSoft
Apache Pulsar: The Next Generation Messaging and Queuing SystemDatabricks
Apache Pulsar is the next generation messaging and queuing system with unique design trade-offs driven by the need for scalability and durability. Its two layered architecture of separating message storage from serving led to an implementation that unifies the flexibility and the high-level constructs of messaging, queuing and light weight computing with the scalable properties of log storage systems.
The engineering teams within Splunk have been using several technologies Kinesis, SQS, RabbitMQ and Apache Kafka for enterprise wide messaging for the past few years but have recently made the decision to pivot toward Apache Pulsar, migrating both existing use cases and embedding it into new cloud-native service offerings such as the Splunk Data Stream Processor (DSP).
SAP Integration: Best Practices | MuleSoftMuleSoft
Many organizations who utilize SAP as their ERP solution struggle to integrate SAP with other systems in their enterprise. Without integration to SAP, these organizations fail to automate and to optimize their business processes. However, many approaches to integrating with SAP are complex, expensive, and difficult to employ.
Mariano Capurro, Technical Engineering Manager at MuleSoft, discussed the fundamental SAP integration building blocks, SAP integration alternatives, how the MuleSoft SAP connector makes integration simple and effective, and common use cases for the MuleSoft SAP connector.
Topics of this session will include:
- Fundamental SAP Integration building blocks, including IDocs, BAPIs and JCo
- SAP Integration alternatives
- Using the SAP Connector
- Common use cases
Presenter:
Mariano Capurro, Technical Engineering Manager, MuleSoft
Technical Engineering Manager, MuleSoft
Apache Pulsar: The Next Generation Messaging and Queuing SystemDatabricks
Apache Pulsar is the next generation messaging and queuing system with unique design trade-offs driven by the need for scalability and durability. Its two layered architecture of separating message storage from serving led to an implementation that unifies the flexibility and the high-level constructs of messaging, queuing and light weight computing with the scalable properties of log storage systems.
The engineering teams within Splunk have been using several technologies Kinesis, SQS, RabbitMQ and Apache Kafka for enterprise wide messaging for the past few years but have recently made the decision to pivot toward Apache Pulsar, migrating both existing use cases and embedding it into new cloud-native service offerings such as the Splunk Data Stream Processor (DSP).
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Lucas Jellema
This presentation gives an overview of major steps in the history of the product portfolio of Oracle Corporation. It discuss in some detail the features, editions and options available with Oracle Database and introduces the components in Fusion Middleware. Cloud is touched upon - but not discussed in depth.
Speaker: Chris Du Preez
Host: Angel Alberici
Youtube: Virtual Muleys (https://www.youtube.com/c/VirtualMuleysOnline/videos)
Meetups: https://meetups.mulesoft.com/events/details/mulesoft-online-group-english-presents-runtime-fabric-rtf-foundations/
Runtime Fabric Foundations. Tune in this time to get a full overview around RTF: architecture, learning paths, tips, how to avoid pitfalls and more. Time to learn. Chris Du Preez will be guiding us through this 50 minutes session!
Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers. (Find out more: https://docs.mulesoft.com/runtime-fabric/1.7/)
Applications have to be integrated – no matter which programming languages, databases or infrastructures are used. However, the realization of integration scenarios is a complex and time-consuming task. Over 10 years ago, Enteprise Integration Patterns (EIP) became the world wide defacto standard for splitting huge, complex integration scenarios into smaller recurring problems. These patterns appear in almost every integration project.
This session revisits EIPs and gives shows status quo. After giving a short introduction with several examples, the audience will learn which EIPs still have a „right to exist“, and which new EIPs emerged in the meantime. The end of the session shows different frameworks and tools which already implement EIPs and therefore help the architect to reduce efforts a lot.
Washington DC MuleSoft Meetup: CI/CD Pipeline with MuleSoft and Azure DevOpsBig Compass
Do your clients want a fast, mess-free, organized delivery process? Learn how to set up a streamlined CI/CD pipeline to deploy your APIs to Runtime Manager to three different deployment targets using Azure DevOps. You’ll see how to set-up your MuleSoft APIs to deploy to CloudHub 1.0, CloudHub 2.0, and Runtime Fabric.
Main Takeaway/Learning Points
+ Grab a glimpse of the offered components and customizable capabilities in Azure DevOps
+ Build a CI/CD Pipeline in Azure DevOps
+ Utilize Azure DevOps to deploy MuleSoft APIs to CloudHub 1.0, CloudHub 2.0, and Runtime Fabric
Read to learn what Mule Runtime Fabric (RTF) and Anypoint RTF are, how you can leverage these integration engines, the best adoption strategies, and the right way to conduct the risk-cost-benefit analysis for your business.
Speaker: Anu Vijayamohan
Host: Angel Alberici
VirtualMuleys: 66 - 20220304-April
Recording & Slides: https://meetups.mulesoft.com/events/details/mulesoft-online-group-english-presents-mulesoft-sizing-guidelines/
All Recordings & Slides: meetups.mulesoft.com/online-group-english/ & youtube.com/c/VirtualMuleysOnline/videos
In this session we will discuss:
Core concepts of sizing
Factors that impact mule sizing
T-Shirt sizing
Sizing nuances in Cloudhub vs OnPrem vs RTF
High Availability
IoT and Edge Integration with Open Source Frameworks:
Internet of Things (IoT) and edge integration is getting more important than ever before due to the massively growing number of connected devices year by year.
This session shows open source frameworks built to develop very lightweight microservices, which can be deployed on small devices or in serverless architectures with very low resources and wire together all different kinds of hardware devices, APIs and online services.
The focus of this session lies on showing open source projects such as Eclipse Kura, Node-RED or Flogo, which offer a framework plus zero-code environment with web IDE for building and deploying integration and data processing directly onto connected devices using IoT standards such as MQTT, WebSockets or CoaP, but also other interfaces such as Twitter feeds or REST services.
The end of the session discusses the relation to other components in a IoT architecture including cloud IoT platforms and big data respectively streaming analytics solutions (such as Apache Storm, Flink, Spark Streaming, Samza, StreamBase, Apama).
A Context Map will visualize your system: cluttered models, too much or not enough communication, dependencies on other systems are just some of the insights you'll gain if your start using them
It is important to make architecture accessible in a good way so that it is accessible to all target groups as much as possible. At the same time, architectural languages such as ArchiMate are not fully focused on this. In addition, they are actually too abstract. You cannot express exactly enough what you are trying to model and the resulting model is open to several interpretations. Linked Data fits in well with these objectives and makes it easier to define and unlock more accessible and more targeted information.
In this presentation Danny Greefhorst will tell more about the motivation behind the idea, but also show a further elaboration. For example, he has made a mapping of ArchiMate to commonly used Linked Data vocabularies. He also made a demonstrator, in which you can see how you can define, enrich and publish ArchiMate models as Linked Data. He will also discuss how the European reference architecture EIRA is available as Linked Data.
Serverless Streaming Architectures and Algorithms for the EnterpriseArun Kejariwal
In recent years, serverless has gained momentum in the realm of cloud computing. Broadly speaking, it comprises function as a service (FaaS) and backend as a service (BaaS). The distinction between the two is that under FaaS, one writes and maintains the code (e.g., the functions) for serverless compute; in contrast, under BaaS, the platform provides the functionality and manages the operational complexity behind it. Serverless provides a great means to boost development velocity. With greatly reduced infrastructure costs, more agile and focused teams, and faster time to market, enterprises are increasingly adopting serverless approaches to gain a key advantage over their competitors.
Example early use cases of serverless include, for example, data transformation in batch and ETL scenarios and data processing using MapReduce patterns. As a natural extension, serverless is being used in the streaming context such as, but not limited to, real-time bidding, fraud detection, intrusion detection. Serverless is, arguably, naturally suited to extracting insights from fast data, that is, high-volume, high-velocity data. Example tasks in this regard include filtering and reducing noise in the data and leveraging machine learning and deep learning models to provide continuous insights about business operations.
We walk the audience through the landscape of streaming systems for each stage of an end-to-end data processing pipeline—messaging, compute, and storage. We overview the inception and growth of the serverless paradigm. Further, we deep dive into Apache Pulsar, which provides native serverless support in the form of Pulsar functions, and paint a bird’s-eye view of the application domains where Pulsar functions can be leveraged.
Baking in intelligence in a serverless flow is paramount from a business perspective. To this end, we detail different serverless patterns—event processing, machine learning, and analytics—for different use cases and highlight the trade-offs. We present perspectives on how advances in hardware technology and the emergence of new applications will impact the evolution of serverless streaming architectures and algorithms. The topics covered include an introduction to st
reaming, an introduction to serverless, serverless and streaming requirements, Apache Pulsar, application domains, serverless event processing patterns, serverless machine learning patterns, and serverless analytics patterns.
Managing your Hadoop Clusters with Apache AmbariDataWorks Summit
Deploying, configuring, and managing large Apache Hadoop and HBase clusters can be quite complex. Once you have your clusters, keeping them up and running and making sure that the SLAs are met presents even more challenges and headaches to Hadoop operators. To make matters worse, managing upgrades can be a nightmare. Hadoop users are presented with their own fair share of difficulties such as slow running jobs and not knowing why they are slow. For third-party software vendors interested in incorporating Hadoop management and monitoring capabilities, there does not seem to be an obvious, easy solution. Apache Ambari is aimed at making lives of Hadoop operators, users, and integrators simpler by providing a management interface to do all of that and more. This session presents usages of Ambari`s Web UI for Hadoop operators (deploying, managing, and monitoring) as well as Hadoop users (job analytics). The talk will also touch upon Ambari`s REST API and how it is used in the real world. The session concludes by revealing the future roadmap of Ambari including queue management, upgrade, disaster recovery, high availability, and more.
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Lucas Jellema
This presentation gives an overview of major steps in the history of the product portfolio of Oracle Corporation. It discuss in some detail the features, editions and options available with Oracle Database and introduces the components in Fusion Middleware. Cloud is touched upon - but not discussed in depth.
Speaker: Chris Du Preez
Host: Angel Alberici
Youtube: Virtual Muleys (https://www.youtube.com/c/VirtualMuleysOnline/videos)
Meetups: https://meetups.mulesoft.com/events/details/mulesoft-online-group-english-presents-runtime-fabric-rtf-foundations/
Runtime Fabric Foundations. Tune in this time to get a full overview around RTF: architecture, learning paths, tips, how to avoid pitfalls and more. Time to learn. Chris Du Preez will be guiding us through this 50 minutes session!
Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers. (Find out more: https://docs.mulesoft.com/runtime-fabric/1.7/)
Applications have to be integrated – no matter which programming languages, databases or infrastructures are used. However, the realization of integration scenarios is a complex and time-consuming task. Over 10 years ago, Enteprise Integration Patterns (EIP) became the world wide defacto standard for splitting huge, complex integration scenarios into smaller recurring problems. These patterns appear in almost every integration project.
This session revisits EIPs and gives shows status quo. After giving a short introduction with several examples, the audience will learn which EIPs still have a „right to exist“, and which new EIPs emerged in the meantime. The end of the session shows different frameworks and tools which already implement EIPs and therefore help the architect to reduce efforts a lot.
Washington DC MuleSoft Meetup: CI/CD Pipeline with MuleSoft and Azure DevOpsBig Compass
Do your clients want a fast, mess-free, organized delivery process? Learn how to set up a streamlined CI/CD pipeline to deploy your APIs to Runtime Manager to three different deployment targets using Azure DevOps. You’ll see how to set-up your MuleSoft APIs to deploy to CloudHub 1.0, CloudHub 2.0, and Runtime Fabric.
Main Takeaway/Learning Points
+ Grab a glimpse of the offered components and customizable capabilities in Azure DevOps
+ Build a CI/CD Pipeline in Azure DevOps
+ Utilize Azure DevOps to deploy MuleSoft APIs to CloudHub 1.0, CloudHub 2.0, and Runtime Fabric
Read to learn what Mule Runtime Fabric (RTF) and Anypoint RTF are, how you can leverage these integration engines, the best adoption strategies, and the right way to conduct the risk-cost-benefit analysis for your business.
Speaker: Anu Vijayamohan
Host: Angel Alberici
VirtualMuleys: 66 - 20220304-April
Recording & Slides: https://meetups.mulesoft.com/events/details/mulesoft-online-group-english-presents-mulesoft-sizing-guidelines/
All Recordings & Slides: meetups.mulesoft.com/online-group-english/ & youtube.com/c/VirtualMuleysOnline/videos
In this session we will discuss:
Core concepts of sizing
Factors that impact mule sizing
T-Shirt sizing
Sizing nuances in Cloudhub vs OnPrem vs RTF
High Availability
IoT and Edge Integration with Open Source Frameworks:
Internet of Things (IoT) and edge integration is getting more important than ever before due to the massively growing number of connected devices year by year.
This session shows open source frameworks built to develop very lightweight microservices, which can be deployed on small devices or in serverless architectures with very low resources and wire together all different kinds of hardware devices, APIs and online services.
The focus of this session lies on showing open source projects such as Eclipse Kura, Node-RED or Flogo, which offer a framework plus zero-code environment with web IDE for building and deploying integration and data processing directly onto connected devices using IoT standards such as MQTT, WebSockets or CoaP, but also other interfaces such as Twitter feeds or REST services.
The end of the session discusses the relation to other components in a IoT architecture including cloud IoT platforms and big data respectively streaming analytics solutions (such as Apache Storm, Flink, Spark Streaming, Samza, StreamBase, Apama).
A Context Map will visualize your system: cluttered models, too much or not enough communication, dependencies on other systems are just some of the insights you'll gain if your start using them
It is important to make architecture accessible in a good way so that it is accessible to all target groups as much as possible. At the same time, architectural languages such as ArchiMate are not fully focused on this. In addition, they are actually too abstract. You cannot express exactly enough what you are trying to model and the resulting model is open to several interpretations. Linked Data fits in well with these objectives and makes it easier to define and unlock more accessible and more targeted information.
In this presentation Danny Greefhorst will tell more about the motivation behind the idea, but also show a further elaboration. For example, he has made a mapping of ArchiMate to commonly used Linked Data vocabularies. He also made a demonstrator, in which you can see how you can define, enrich and publish ArchiMate models as Linked Data. He will also discuss how the European reference architecture EIRA is available as Linked Data.
Serverless Streaming Architectures and Algorithms for the EnterpriseArun Kejariwal
In recent years, serverless has gained momentum in the realm of cloud computing. Broadly speaking, it comprises function as a service (FaaS) and backend as a service (BaaS). The distinction between the two is that under FaaS, one writes and maintains the code (e.g., the functions) for serverless compute; in contrast, under BaaS, the platform provides the functionality and manages the operational complexity behind it. Serverless provides a great means to boost development velocity. With greatly reduced infrastructure costs, more agile and focused teams, and faster time to market, enterprises are increasingly adopting serverless approaches to gain a key advantage over their competitors.
Example early use cases of serverless include, for example, data transformation in batch and ETL scenarios and data processing using MapReduce patterns. As a natural extension, serverless is being used in the streaming context such as, but not limited to, real-time bidding, fraud detection, intrusion detection. Serverless is, arguably, naturally suited to extracting insights from fast data, that is, high-volume, high-velocity data. Example tasks in this regard include filtering and reducing noise in the data and leveraging machine learning and deep learning models to provide continuous insights about business operations.
We walk the audience through the landscape of streaming systems for each stage of an end-to-end data processing pipeline—messaging, compute, and storage. We overview the inception and growth of the serverless paradigm. Further, we deep dive into Apache Pulsar, which provides native serverless support in the form of Pulsar functions, and paint a bird’s-eye view of the application domains where Pulsar functions can be leveraged.
Baking in intelligence in a serverless flow is paramount from a business perspective. To this end, we detail different serverless patterns—event processing, machine learning, and analytics—for different use cases and highlight the trade-offs. We present perspectives on how advances in hardware technology and the emergence of new applications will impact the evolution of serverless streaming architectures and algorithms. The topics covered include an introduction to st
reaming, an introduction to serverless, serverless and streaming requirements, Apache Pulsar, application domains, serverless event processing patterns, serverless machine learning patterns, and serverless analytics patterns.
Managing your Hadoop Clusters with Apache AmbariDataWorks Summit
Deploying, configuring, and managing large Apache Hadoop and HBase clusters can be quite complex. Once you have your clusters, keeping them up and running and making sure that the SLAs are met presents even more challenges and headaches to Hadoop operators. To make matters worse, managing upgrades can be a nightmare. Hadoop users are presented with their own fair share of difficulties such as slow running jobs and not knowing why they are slow. For third-party software vendors interested in incorporating Hadoop management and monitoring capabilities, there does not seem to be an obvious, easy solution. Apache Ambari is aimed at making lives of Hadoop operators, users, and integrators simpler by providing a management interface to do all of that and more. This session presents usages of Ambari`s Web UI for Hadoop operators (deploying, managing, and monitoring) as well as Hadoop users (job analytics). The talk will also touch upon Ambari`s REST API and how it is used in the real world. The session concludes by revealing the future roadmap of Ambari including queue management, upgrade, disaster recovery, high availability, and more.
My TechDays 2015 in the Netherlands session about API management. Every company has services or API's to share public or private. There are many tools to solve this. But one thing is for sure, API's without management is not good.
[WSO2 Integration Summit Nairobi 2019] Role of Integration in an API Driven W...WSO2
This deck covers why API Driven integrations are important, API and Integration strategy and approaches, WSO2 Integration suite functionality to support API driven Integration, and how to successfully implement API driven Integration
2016 06 - design your api management strategy - axway - Api ManagementSmartWave
David Soulalioux, API Gateway pre-sales engineer at Axway illustrated, among others, a concrete use case of cloud API management at a worldwide energy industry leader. The presentation depicted the exposition of customer’s “Fuel Market” intranets website existing APIs to the outside world. This integration outlined the added value of the API Gateway as authentication layer, security and Quality Of Service (QoS) enforcement point. Also, the retained cloud infrastructure enabled for a scalable and reliable solution, allowing developers to focus on services instead of worrying about the infrastructure.
apidays LIVE Hong Kong - Orchestrating APIs at Scale by Hieu Nguyen Nhuapidays
apidays LIVE Hong Kong - The Open API Economy: Finance-as-a-Service & API Ecosystems
Orchestrating APIs at Scale
Hieu Nguyen Nhu , Senior Cloud Native Technical Specialist at Microsoft
L’API Economy ha permesso ad aziende e startup di fornire i propri servizi attraverso nuovi canali. La nascita di ecosistemi digitali interaziendali ha spinto ulteriormente molte aziende ad inserire nel loro piano di Digital Transformation programmi di sviluppo ed esposizione di API interne ed esterne per aumentare l'integrazione aziendale e abilitare nuovi modelli di business con terze parti. Ma esporre delle API non è sufficiente. Nell'API Economy diventa fondamentale sviluppare una strategia di commercializzazione delle API e un'architettura in grado di abilitare transazioni commerciali.
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.
During the last few years, companies started to embrace APIs.
In FRANCE, the API boom really started lately, in 2014.
Today every company wants to build its API.
We had been involved in several API projects : and the goal of this session is to share with you common pitfall that could compromise your API strategy.
Triangle Node Meetup : APIs in Minutes with Node.jsShubhra Kar
Build Omni-channel APIs in minutes with Node.js. StrongLoop's Loopback API server provides an open source API framework for connecting mobile, devices, sensors and web to backends though lightweight APIs. Get Mobile Backend as a Service (mBaaS) and API Gateway plus a Visual API editor (Studio) all in a single modular Node.js platform. SDKs for Angular, iOS, Android and JavaScript makes Isomorphic JavaScript and fullstack JS a reality.
API monetization extends beyond the simple selling of an API to realize new revenue streams. Monetization enables multi-pronged business relationships, for example, a SaaS provider, an industry focused ISV and a SaaS customer. Learn more about how Oracle is helping customers in the Hospitality industry realize the true value of APIs. In this talk, we will also cover some future capabilities that will help enterprises monetize their APIs for both revenue streams, and insights into the value all their APIs provide
Changing the game in hospitality integrationsluisw19
The hospitality industry is undergoing the greatest transformation in its contemporary history. An industry known for its ‘high-touch’ nature and not necessarily famous for embracing the latest / greatest tech, has been forced to adapt and embrace modern technologies or risk becoming irrelevant in a post-pandemic world.
Join this talk to learn how Oracle Hospitality’s Open API strategy is changing the game in hospitality integrations by not only enabling innovation at an unprecedented rate, but also by changing the API-value chain to ensure that all participants of the Hospitality API economy benefit from this move.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
There is no doubt that Web APIs have become a fundamental aspect of modern architectures. However how to distinct a “good” API from an “evil” one is a topic for debate and one that often ends up in a “religious” debate. However, the one thing that is clear to most people, is that it all starts with a design, and getting that design right up-front will likely result in less headaches down the line.
So how to avoid “evil” APIs?
In this presentation, I will talk about the 7 most common pitfalls I’ve come across when doing API design in large implementations. With real-life examples, I will describe why such pitfalls deserved to be called “evil” and how to remediate them with “good" design practices.
The presentation will also touch upon how API-design first techniques can be applied to solve prevent some of the common issues.
It will be a highly interactive session with good balance of theory and practice.
DEVOXX UK 2018 - GraphQL as an alternative approach to RESTluisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
Oracle Code Capgemini: API management & microservices a match made in heavenluisw19
Oracle Code London presentation by Capgemini Luis Weir and Phil Wilkins. Talking about API management relation to microservices, evolution of API gateways and why should developers care about APIs
UKOUG - Implementing Enterprise API Management in the Oracle Cloudluisw19
API-led connectivity has become the main mechanism to integrate with SaaS applications. Mobile applications, modern web applications and Internet of things also need APIs. In the Oracle Cloud there are at least 6 cloud services offering a solution for APIs, (Mobile Cloud Service, API Manager Cloud Service, API Platform Cloud Service, API Catalog Cloud Service, IoT Cloud Service and Integration Cloud Service).
This presentation will first and foremost describe what an enterprise-wide API management solution looks like, will elaborate on a solid API taxonomy to then show how to position each of the mentioned cloud services to deliver an end to end API management solution in the Oracle Cloud but also capable of handling hybrid cloud use cases.
In addition real live use cases will be referenced to help contextualise the content presented.
A microservice approach for legacy modernisationluisw19
Very large portion of the world’s business critical systems are considered to be ‘legacy’ –and so is the code underpinning them (ie COBOL, PASCAL, C, to name a few). Although in many cases it is the case that these systems are robust, stable and fit for the main purpose they were originally built, they aren’t flexible and scalable enough to support emerging requirements mainly derived from a more demanding ‘always on the move’ and ‘always connected’ user.
These systems struggle to meet these demands mainly because of the ‘monolithic’ approach on which they were built and the complexity hidden in millions of lines of code that is only understood a very few hand-full of people that still remain active from the teams that several years ago developed these systems.
In almost an equal amount there have also been thousands of failed attempts to modernise these legacy systems. The ‘eating the elephant’ in one go approach certainly didn’t work, and the traditional SOA approach alone although worked till certain extend, it also fell short when it came down to addressing specific requirements around scalability and platform/service inter-dependencies.
In this presentation I will talk about how a legacy modernisation framework based on Microservice Architecture (MSA) in conjunction with some other known SOA patterns (ie. ESB, API Gateway), can be applied to ‘eat the elephant one piece at the time’ but most importantly ‘without getting indigestion’
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.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Neuro-symbolic is not enough, we need neuro-*semantic*
Oracle API Platform Cloud Service Best Practices & Lessons Learnt
1. PaaS Community Forum
Oracle API Platform Best Practices & Lessons Learnt
Split, March 2017
Luis Weir
luis.weir@capgemini.com
uk.linkedin.com/in/lweir
@luisw19
www.soa4u.co.uk