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The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.
And almost no items about Blockchains, though the one item I’ve listed (China’s Blockchain Services Network) may be the most important item here. Cloud and Microservices. K3s is a stripped-down Kubernetes designed (among other things) for IoT and Edge Computing. Is this it?
Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Blockchain. Blockchain Applications and Smart Contracts , January 11. Introducing Blockchain , January 22. IBM Blockchain Platform as a Service , January 23-24. Artificial intelligence and machine learning.
Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Machine Learning for IoT , March 20. Blockchain. Introducing Blockchain , March 8. Building Smart Contracts on the Blockchain , March 21-22. IBM Blockchain Platform as a Service , March 25-26.
Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Blockchain. Spotlight on Innovation: How Blockchain Will Change Your Business , January 9. Blockchain Applications and Smart Contracts , January 11. Introducing Blockchain , January 22. AI and machine learning.
DDD: testing in microservices architecture meetup: Videos & Presentation . In June we organized our 5th DDD meetup, where Christian Ciceri – co-founder & software architect of Apiumhub talked about testing in microservices architecture. Blockchain technology: use cases, statistics, benefits, startups & events.
The Platform Summit will bring together influential figures from the global API economy, offering a rich reservoir of expertise concerning API design norms and optimal methods for microservices. This conference is organized by our friends from DevNetwork. API World puts the API Product lifecycle center stage. Interested in attending?
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Completing secure code reviews.
It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.
Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.
The rising popularity of cloud-based services and IoT devices drive the demand for security solutions. Increased use of microservices architecture Microservices architecture is a software development method that divides large programs into smaller, independent parts so that each can be created, deployed, and managed separately.
With hyper-agile architectures that embody containers, microservices and cloud functions, cloud content apps will benefit in allowing non-developers to assemble components to meet specific organization needs and add valuable business logic on top.
Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Blockchain. Spotlight on Innovation: Blockchain as a Service with Ed Featherston , June 12. Introducing Blockchain , June 21. Blockchain and Cryptocurrency Essentials , June 27. AI and machine learning.
Internet of Things (IoT): The Internet of Things has become important in digital transformation. With IoT solutions , businesses can collect data remotely and use it to optimize operations, enhance customer experiences, and develop new revenue streams. Embrace AIOps (AI operations) to support multi-cloud and microservices.
. – Evans Data The state of software development in 2023 The year 2022 will be remembered for the convergence of business and technology under the banner of value stream management, with an increased emphasis on safety and security in software, and the increased use of microservices. Currently, software development has a market value of $260.38
Other topics that will be covered during the event will be eBPF, Design for Sustainability, Design for portability, GraphQL Federation, Data + Architecture, Data Mesh, Policy as Code, Blockchain, HTTP/3, Architecture Decision Records, Dapr & WebAssembly – what’s new for 2023?,
Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. Blockchain. Introducing Blockchain , May 3. Blockchain and Cryptocurrency Essentials , May 16. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , May 22. IoT Fundamentals , May 16-17.
Called jsMobileConf , this conference brought in speakers from Microsoft, Adobe, Google, and Progress to talk about topics such as serverless, IoT, native apps, AR/VR, mobile web, AI, and more. We have long been breaking monoliths to create microservices that are atomic, independent and decoupled. Hope to see you there!
And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices.
Cloud native – orchestrating containers as part of a microservices architecture – is a departure from traditional application design. Kubernetes and other cloud native technologies enable higher velocity software development at a lower cost than traditional infrastructure. Cost to attend: Ultimate Pass: $799. 1-Day pass: $319.
This, combined with edge computing, makes it possible to not only monitor every asset and process parameter – which is the traditional value proposition of IoT and IIoT – but also to build decisioning capability and intelligence closer to the point of execution. This approach will transform operations and make business truly agile.
BRK3062 – API management for microservices in a hybrid and multi-cloud world. BRK3190 – Analyze, manage, and optimize your cloud cost with Azure Cost Management. BRK1074 – Announcing Bing Maps Geospatial Analytics Platform Preview for Enterprise Business Planning. THR2186 – Azure Databricks and Azure Machine Learning better together.
35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.
Integration processes : Processes that focus on the integration of systems or services, for example to orchestrate microservices or guarantee consistency when doing remote communication. Node Red): IoT use cases are often tackled with dedicated tooling that I would categorize as task automation. Internet of things (e.g.
is a JavaScript library for interacting with the Ethereum blockchain and its ecosystem. Because of microservices developers can also create small and independent deployment services for the creation of a larger application. Some examples include IoT solutions, real-time chatbots and messengers, and complex single-page apps.
is a JavaScript library for interacting with the Ethereum blockchain and its ecosystem. Because of microservices developers can also create small and independent deployment services for the creation of a larger application. Some examples include IoT solutions, real-time chatbots and messengers, and complex single-page apps.
This capability combines microservices and APIs, case management, decision management, and analytics into a single unified application. TIBCO LABS Gallery gives TIBCO Cloud users access to TIBCO LABS’ interactive demos and cutting-edge developments in IoT, blockchain, edge analytics, augmented reality, and composable apps.
The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.
The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). There are different architectural styles, like Layered and Microservices, each with its own pros and cons. The choice between them depends on the specific situation.
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