We [my company] use it to run a large workload. We have a set of security scans we want to perform, and we distribute them over a full day, that’s over 24 hours. We use it to orchestrate all the steps necessary to perform those tests.
I use it to handle messages from the WhatsApp API. There is a product in my company that uses that API, and Temporal helps us debug and handle retries about the messages we receive, persisting the delivery of the message to the final client.
We use Temporal for several purposes. One is for scheduling purposes, where we have workflows that must run at regular intervals or over long durations. Another involves triggering specific events, like in a video processing pipeline, where processing begins as soon as a video becomes available. We also use it for ETL purposes, where once data is available in the data store or warehouse, Temporal triggers the necessary analytics processing. Different teams also define and use the tool based on their specific needs.
I'm part of MoCS's platform engineering team. We initially searched for a workflow orchestration engine and discovered Temporal, which met all our development needs. We implemented Temporal in-house and built a self-service platform called Dash for developers, which allows them to use Temporal as needed. I’m part of the API management team, focusing on deploying API proxies onto gateways. We use Temporal to orchestrate these proxies and manage the API management lifecycle, including deployment processes. In addition to API management, our entire platform engineering team utilizes Temporal to orchestrate infrastructure tasks such as deployment, deletion, and management. On the business side, Temporal is also used to manage shipment bookings and invoicing processes.
We have multiple products and wanted to use Temporal because different business logic was better suited to different programming languages, such as Java and Python. We needed a unified solution to handle this diversity. Netflix, one of our clients, introduced us to Temporal. We set up an on-premise Temporal server, with Temporal handling the initial setup in our Kubernetes cluster. Another team implemented additional security measures on top of Temporal to enhance security. We developed our authentication system and library to integrate with multiple role-based access control systems. We use Temporal primarily for orchestration. We deploy products across AWS Cloud, Azure, and on-premise data centers. Temporal helps us centralize the orchestration process. We use the Temporal SDK to implement our workflows and workers in our Kubernetes cluster. Based on user requests from a centralized portal, we trigger workflows, which drive multiple tasks sequentially or concurrently to deliver the desired outcomes.
Temporal automates and manages workflows efficiently, offering resilience in distributed systems with features like retry and fault tolerance. Its capabilities in handling complex workflows and integrating with programming languages make it a valuable tool for managing diverse business logic.Temporal excels in workflow orchestration, automating tasks across multiple platforms, and ensuring durability in asynchronous operations. It supports long-running workflows and simplifies handling...
We [my company] use it to run a large workload. We have a set of security scans we want to perform, and we distribute them over a full day, that’s over 24 hours. We use it to orchestrate all the steps necessary to perform those tests.
I use it to handle messages from the WhatsApp API. There is a product in my company that uses that API, and Temporal helps us debug and handle retries about the messages we receive, persisting the delivery of the message to the final client.
We use Temporal for several purposes. One is for scheduling purposes, where we have workflows that must run at regular intervals or over long durations. Another involves triggering specific events, like in a video processing pipeline, where processing begins as soon as a video becomes available. We also use it for ETL purposes, where once data is available in the data store or warehouse, Temporal triggers the necessary analytics processing. Different teams also define and use the tool based on their specific needs.
I'm part of MoCS's platform engineering team. We initially searched for a workflow orchestration engine and discovered Temporal, which met all our development needs. We implemented Temporal in-house and built a self-service platform called Dash for developers, which allows them to use Temporal as needed. I’m part of the API management team, focusing on deploying API proxies onto gateways. We use Temporal to orchestrate these proxies and manage the API management lifecycle, including deployment processes. In addition to API management, our entire platform engineering team utilizes Temporal to orchestrate infrastructure tasks such as deployment, deletion, and management. On the business side, Temporal is also used to manage shipment bookings and invoicing processes.
We have multiple products and wanted to use Temporal because different business logic was better suited to different programming languages, such as Java and Python. We needed a unified solution to handle this diversity. Netflix, one of our clients, introduced us to Temporal. We set up an on-premise Temporal server, with Temporal handling the initial setup in our Kubernetes cluster. Another team implemented additional security measures on top of Temporal to enhance security. We developed our authentication system and library to integrate with multiple role-based access control systems. We use Temporal primarily for orchestration. We deploy products across AWS Cloud, Azure, and on-premise data centers. Temporal helps us centralize the orchestration process. We use the Temporal SDK to implement our workflows and workers in our Kubernetes cluster. Based on user requests from a centralized portal, we trigger workflows, which drive multiple tasks sequentially or concurrently to deliver the desired outcomes.
We normally use Temporal to create pipelines and to move data from FTP servers to some accounts.