Search Results for "event processing"
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10 projects for "event processing" with 2 filters applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Commanded
Use Commanded to build Elixir CQRS/ES applications
Commanded is an Elixir framework for implementing CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns. It provides domain-driven design tools—aggregates, commands, events, and projections—backed by an event store (e.g. PostgreSQL). -
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Apache Flink
Stream processing framework with powerful stream
Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. ... -
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Kapacitor
Open source framework for processing, monitoring, and alerting
Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB. -
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Broadway
Concurrent and multi-stage data ingestion and data processing
...Developers can enrich pipelines with batching, concurrency control, and metrics reporting, simplifying the management of complex data ingestion and processing systems. Broadway is often used for event processing, stream handling, and background jobs, offering both performance and clarity in Elixir’s functional style. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Apache Spark
A unified analytics engine for large-scale data processing
...With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
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Laravel Webhook Client
Receive webhooks in Laravel apps
A webhook is a way for an app to provide information to another app about a specific event. The way the two apps communicate is with a simple HTTP request. This package allows you to receive webhooks in a Laravel app. It has support for verifying signed calls, storing payloads and processing the payloads in a queued job. -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
...It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected. -
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Livewire Best Practices
Laravel Livewire Best Practices
This repository is a curated list of general recommendations on how to use Laravel Livewire framework to meet enterprise concerns regarding the security, performance, and maintenance of Livewire components. Avoid passing objects to the component's public properties if possible. Use primitive types: strings, integers, arrays, etc. That's because Livewire serializes/deserializes your component's payload with each request to the server to share the state between the frontend & backend. If you... -
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Hashload
A JavaScript library to easily handle the onhashchange event
A library that is designed to allow processing the hashchange event in various browsers easily by specifying change rules and assigning callbacks to them. Has built-in support for automatic AJAX calls for ajax-based rules. Supports IE7+, Chrome 6+, Safari, Opera 10.6+ and FF3.6+. Has no dependencies. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Swaf is Javascript Framework. 1. OOP Support(Multi inheritance & super call and etc...) 2. Integrated event&message processing (DOM Event & User defined event) 3. Multiplexed Ajax 4. Dynamic Scripting & Template for AJAX
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