Cloudify
OpenShift
Kubernetes
Heroku
Morpheus
Microsoft Azure
Apache Mesos
Redis
Temporal
Trigger.dev
n8n.io
Amazon AWS
Apache Airflow
Molted
Aditya Protocol
e2b
Cloudify provides infrastructure automation using โEnvironment as a Serviceโ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
Cloudify TemporalNo features have been listed yet.
Based on our record, Temporal should be more popular than Cloudify. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 4 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 4 years ago
Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal โ Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / 13 days ago
We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of โ a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines โ an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate โ plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 1 month ago
The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago
A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 3 months ago
The core is a browserclaw agent loop wrapped in a Temporal workflow. The AI navigates to your provider's payment page, identifies form fields from the snapshot, fills in your payment details, and submits. Every successful payment generates a "biller skill" โ a playbook that makes subsequent payments to the same provider faster and more reliable. - Source: dev.to / 4 months ago
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Trigger.dev - Trigger workflows from APIs, on a schedule, or on demand. API calls are easy with authentication handled for you. Add durable delays that survive server restarts.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
