Solace PubSub+ Integrations

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Amazon Simple Storage Service (Amazon S3), an object storage service, offers industry-leading scalability and data availability, security, performance, and scalability. Customers of all sizes and industries can use Amazon S3 to store and protect any amount data for a variety of purposes, including data lakes, websites and mobile applications, backup, restore, archive, enterprise apps, big data analytics, and IoT devices. Amazon S3 offers easy-to-use management tools that allow you to organize your data and set up access controls that are tailored to your business, organizational, or compliance needs. Amazon S3 is built for 99.999999999% (11 9,'s) of durability and stores data for millions applications for companies around the globe. You can scale your storage resources to meet changing demands without having to invest upfront or go through resource procurement cycles. Amazon S3 is designed to last 99.999999999% (11 9,'s) of data endurance.

All sizes of companies can use object storage. You can store any amount of data. You can retrieve it as often and as often as you like. You can configure your data with Object Lifecycle Management to automatically transition to lower cost storage classes when it meets certain criteria, such as when it reaches a certain date or when you have stored a newer version. Cloud Storage offers a growing number of storage locations that you can store your data, with multiple redundancy options. You can choose where and how to store your data, regardless of whether you want to optimize for a split-second response or create a robust disaster recovery strategy. Two highly efficient online routes to Cloud Storage are Storage Transfer Service and Transfer Service. Both offer the speed and scalability you need to make data transfers faster. Our Transfer Appliance is a shippable storage device that can be used for offline data transfer.

MuleSoft's Anypoint Platform is a hybrid enterprise integration platform that supports SOA, SaaS, APIs, and APIs. AnyPoint gives developers access to a variety of tools that allow them to design, build and manage their APIs, products, and applications throughout their lifecycle. Mule is the core runtime engine of Anypoint Platform.

Apache Kafka®, is an open-source distributed streaming platform.

Dell Boomi AtomSphere makes it easy to integrate all of your business applications. Dell Boomi AtomSphere is a single-instance, multitenant integration platform as an service (iPaaS). It gives enterprises and their teams full access to all capabilities that speed up integrations. Boomi AtomSphere's enterprise-grade performance and visual interface can guarantee scalability, high availability, and support for all your app integration requirements.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

Google Cloud Pub/Sub: Delivery of messages in large quantities with push and pull modes. Auto-scaling, auto-provisioning, support from zero to hundreds GB/second Independent quota and billing are available for subscribers and publishers. Multi-region systems can be simplified by global message routing High availability made easy: Ensure reliable delivery at all scales with synchronous, cross-zone message replication. Auto-everything, no-planning Auto-scaling, auto-provisioning without partitions eliminates the need for planning and ensures that workloads are ready for production from day one. Advanced features built in: Filtering, dead letter delivery, and exponential backoff all help to simplify your applications

Amazon API Gateway is a fully managed service that makes API creation, publishing, maintenance, monitoring, and security easy at any scale. APIs are the "front door" to allow applications to access data, business logic, and functionality from your backend service. API Gateway allows you to create RESTful APIs or WebSocket APIs which enable real-time, two-way communication. API Gateway supports both containerized and serverless workloads as well as web applications. API Gateway handles all tasks associated with accepting and processing hundreds of thousands of concurrent API calls. This includes traffic management, CORS support authorization and access control, traffic management, authorization and throttling as well as monitoring and API version management. API Gateway does not have minimum fees nor startup costs. API Gateway has tiered pricing that allows you to reduce your costs as your API usage grows.

Spring makes Java programming faster, easier, safer, and more enjoyable for everyone. Spring's focus is on speed, simplicity and productivity, making it the most popular Java framework in the world. Spring's flexible libraries have been trusted by thousands of developers around the globe. Every day, Spring provides delightful experiences to millions upon millions of end-users, whether that's streaming TV, online shopping or any number of other innovative solutions. Spring's extensive and flexible set of extensions and third party libraries allow developers to create almost any kind of application. Spring Framework's Inversion of Control and Dependency Injection features are the core of a wide range of features and functionality. Spring Framework has the tools you need to build secure, reactive, cloud-based microservices that can be used for the web or complex streaming data flows for enterprises.

PeerDB is the fastest, easiest, and most cost-effective solution to replicate data between Postgres and data warehouses, queues and storage. Designed to scale at any size and tailored for data stores. PeerDB replays the schema messages using replication messages from Postgres replication slots. Alerts for slot expansion and connections. Native support for Postgres toast columns and large JSONB for IoT. Optimized query designs to reduce warehouse costs. Especially useful for Snowflake or BigQuery. Support for partitioned table via both publish. Transaction snapshotting and CTID scanning provide a consistent and fast initial load. High-availability with autoscaling, advanced logs, metrics, dashboards and monitoring dashboards.

Enterprise applications require a flexible, secure Java server runtime environment. IBM WebSphere Application Server accelerates application delivery by providing a reliable Java Enterprise Edition-based runtime environment. It supports microservices as well as standards-based programming models. This allows you to modernize at your pace, gain visibility across workloads and analyze enterprise applications. IBM WebSphere Application Server provides a secure, flexible Java server environment for enterprise applications. You can deploy and manage services and applications regardless of location, time or device type. Integrated management and administrative tools offer enhanced security and control. Multicloud environments support allows you to choose your deployment method. You can respond quickly to your business's needs with continuous delivery capabilities and services.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

High-performance, cross-platform columnar historical time-series columnar data featuring: - An in-memory computation engine - A streaming processor that streams real-time - A combination of a programming language and expressive query, q

Amazon Simple Queue Service is a fully managed message queue service that allows you to scale distributed systems, microservices, and serverless applications. SQS removes the complexity and overhead involved in managing and operating message-oriented middleware and allows developers to concentrate on differentiating work. SQS allows you to send, store, or receive messages between software components at any volume without losing messages, or requiring additional services. You can get started with SQS within minutes by using the AWS console, Command Line Interface, or SDK of choice and three simple commands.

Amazon Simple Notification Service is a fully managed messaging platform that allows for system-to–system and app-to–person (A2P), communication. It allows you to communicate between systems using publish/subscribe patterns (pub/sub), which allow messaging between decoupled microservice apps. You can also communicate directly with users via SMS, mobile push, and email. The system-to–system pub/sub functionality allows for topic-based, high-throughput push-based, many–to-many messaging. Your publisher systems can use Amazon SNS topics to fanout messages to large numbers of customer endpoints or subscriber systems, including Amazon SQS queues and AWS Lambda functions. You can send messages to large numbers of users using the A2P messaging functionality. This allows you to use either a pub/sub or direct-publish message using one API.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

You can run code without worrying about servers. Only pay for the compute time that you use. AWS Lambda allows you to run code without having to provision or manage servers. You only pay for the compute time that you use. Lambda allows you to run code for any type of backend service or application - and all this with zero administration. Upload your code, and Lambda will take care of scaling your code with high availability. Your code can be set up to trigger automatically from other AWS services, or you can call it directly from any mobile or web app. AWS Lambda runs your code automatically without you having to manage or provision servers. Simply write the code and upload it directly to Lambda. AWS Lambda automatically scales the application by running code according to each trigger. Your code runs in parallel, processing each trigger separately, scaling exactly with the workload.

You can quickly collect, process, analyze, and analyze video and data streams. Amazon Kinesis makes it easy for you to quickly and easily collect, process, analyze, and interpret streaming data. Amazon Kinesis provides key capabilities to process streaming data at any scale cost-effectively, as well as the flexibility to select the tools that best fit your application's requirements. Amazon Kinesis allows you to ingest real-time data, including video, audio, website clickstreams, application logs, and IoT data for machine learning, analytics, or other purposes. Amazon Kinesis allows you to instantly process and analyze data, rather than waiting for all the data to be collected before processing can begin. Amazon Kinesis allows you to ingest buffer and process streaming data instantly, so you can get insights in seconds or minutes, instead of waiting for hours or days.

Functions is an event-driven, serverless computing platform that allows you to develop more efficiently. It can also solve complex orchestration issues. You can build and debug locally, deploy and operate at scale in a cloud environment, and integrate services with triggers and bindings.

You need to be able to quickly integrate data and applications in order for your digital business to operate with speed, agility, automation, and automation. The TIBCO Cloud™ enterprise integration Platform-as-a-Service (iPaaS) accelerates the integration process by empowering more people in your business to connect your information assets together no matter where they are hosted. Our enterprise iPaaS simplifies integration and offers hundreds of connectors to most popular technologies and endpoints. TIBCO allows you to manage your integration apps as APIs and also allows you to use an API-led approach for integration. Your API product managers are able to create, publish, secure and analyze your API products. This creates a seamless, connected tissue across your digital company that is based upon standard interfaces that are easy to connect.

Azure Data Lake offers all the capabilities needed to make it easy to store and analyze data across all platforms and languages. It eliminates the complexity of ingesting, storing, and streaming data, making it easier to get up-and-running with interactive, batch, and streaming analytics. Azure Data Lake integrates with existing IT investments to simplify data management and governance. It can also seamlessly integrate with existing IT investments such as data warehouses and operational stores, allowing you to extend your current data applications. We have the experience of working with enterprise customers, running large-scale processing and analytics for Microsoft businesses such as Office 365, Microsoft Windows, Bing, Azure, Windows, Windows, and Microsoft Windows. Azure Data Lake solves many productivity and scaling issues that prevent you from maximizing the potential of your data.

Debezium is an open-source distributed platform for change data collection. It is easy to set up and can be pointed at your databases. Your apps will then respond to any inserts, updates or deletions that other apps make to your databases. Debezium is durable, fast, and your apps can respond quickly to any event. Your data is constantly changing. Debezium allows your apps to react whenever your data changes. You don't even have to modify your apps that modify data. Debezium continuously monitors the databases and allows any of your apps to stream every row-level update in the same order that they were committed. You can use the event streams to clear a cache, update searchindices, generate derived view and data, keep other data sources synchronized, and much more. You can even pull this functionality from your app and put it in separate services.

A reliable, easy-to-use, and powerful system to process and distribute data. Apache NiFi supports powerful, scalable directed graphs for data routing, transformation, system mediation logic, and is scalable. Apache NiFi's high-level capabilities and goals include a web-based user interface that provides seamless design, control, feedback and monitoring. Highly configurable, loss-tolerant, low latency and high throughput. Dynamic prioritization is also possible. Flow can be modified at runtime by back pressure, data provenance, and track dataflow from start to finish. This is a flexible system that is extensible. You can build your own processors. This allows for rapid development and efficient testing. Secure, SSL, SSH and HTTPS encryption, as well as encrypted content. Multi-tenant authorization, internal authorization/policy administration. NiFi includes a variety of web applications, including web UI, web API, documentation and custom UI's. You will need to map to the root path.

Spark Streaming uses Apache Spark's language-integrated API for stream processing. It allows you to write streaming jobs in the same way as you write batch jobs. It supports Java, Scala, and Python. Spark Streaming recovers lost work as well as operator state (e.g. Without any additional code, Spark Streaming recovers both lost work and operator state (e.g. sliding windows) right out of the box. Spark Streaming allows you to reuse the same code for batch processing and join streams against historical data. You can also run ad-hoc queries about stream state by running on Spark. Spark Streaming allows you to create interactive applications that go beyond analytics. Apache Spark includes Spark Streaming. It is updated with every Spark release. Spark Streaming can be run on Spark's standalone mode or other supported cluster resource mangers. It also has a local run mode that can be used for development. Spark Streaming uses ZooKeeper for high availability in production.

This is the easiest way to perform batch and streaming data processing. For mission-critical production workloads, write once and run anywhere data processing. Beam can read your data from any supported source, whether it's on-prem and in the cloud. Beam executes your business logic in both batch and streaming scenarios. Beam converts the results of your data processing logic into the most popular data sinks. A single programming model that can be used for both streaming and batch use cases. This is a simplified version of the code for all members of your data and applications teams. Apache Beam is extensible. TensorFlow Extended, Apache Hop and other projects built on Apache Beam are examples of Apache Beam's extensibility. Execute pipelines in multiple execution environments (runners), allowing flexibility and avoiding lock-in. Open, community-based development and support are available to help you develop your application and meet your specific needs.

Oracle WebLogic Server provides a unified platform that allows you to develop, deploy, and run enterprise applications such as Java on-premises or in the cloud. WebLogic Server provides Java Enterprise Edition (EE), and Jakarta EE in a robust, stable, and scalable environment. Oracle WebLogic Server supports Kubernetes fully and allows users to migrate and build modern container apps using comprehensive Java services. The WebLogic Kubernetes ToolKit is a complete set open-source tools that makes Kubernetes easier to use, whether it's on-premises or in cloud. Java EE and Jakarta EE offer powerful combinations of technologies and APIs that are focused on enterprise application development and management.

We deliver groceries, including fresh fruits and vegetables, to your home in any quantity. In 10 minutes, and at supermarket prices. Flink is your supermarket in a pocket, fresh every day at supermarket price. We deliver in all major German cities and have recently opened our first French and Dutch areas. You can view our delivery areas in the app. More cities are coming soon. Sometimes, we pack orders so quickly that an incorrect item ends up in your bag. We're sorry! We're sorry! We deliver Monday through Saturday, from 8am to 11pm. You can pay directly through the app, where you can choose from several online payment options. Our delivery hubs can be found in densely populated inner cities and we use electric bikes to deliver.