Dev Tools & APIs

  • PagerDuty

    PagerDuty

    PagerDuty is an incident management platform used by operations and engineering teams to detect, triage, and resolve critical issues fast. When something breaks — a server goes down, an API stops responding, or a payment system throws errors — PagerDuty routes alerts to the right on-call person via SMS, phone call, push notification, or email, and tracks the incident through to resolution. Integrating PagerDuty with n8n adds a layer of intelligent automation to your incident response. Instead of relying solely on monitoring tools to trigger PagerDuty alerts, you can use n8n to create incidents based on custom conditions from any data source: failed n8n workflows, abnormal database metrics, customer complaint spikes, or business KPIs that cross critical thresholds. Common automation patterns include creating PagerDuty incidents when an e-commerce checkout error rate exceeds a threshold, automatically escalating unacknowledged incidents after a set period, and syncing incident data to Jira or Slack for post-incident tracking and communication. Downtime costs real money, and the faster your team can respond, the less damage is done. At Osher, we have built monitoring and alerting workflows for businesses that need to know about problems before their customers do. Our BOM weather data pipeline project included automated error handling that flagged data processing failures in real time. If your incident response relies on manual monitoring or scattered alerts, our system integration team can connect your monitoring stack with PagerDuty through n8n. Our AI consulting team can help you design an alerting strategy that matches your team’s structure and on-call rotation.
  • urlscan.io

    urlscan.io

    urlscan.io is a web security service that scans and analyses URLs for malicious content, phishing attempts, and suspicious behaviour. When you submit a URL, urlscan.io loads the page in a sandboxed browser, captures a screenshot, records all HTTP transactions, and analyses the DOM, JavaScript, and network requests. The result is a detailed report showing exactly what a URL does when visited. Integrating urlscan.io with n8n lets you automate URL security checks as part of a broader workflow. You can scan URLs extracted from incoming emails before employees click them, automatically check links submitted through web forms, or build a phishing detection pipeline that scans suspicious URLs and alerts your security team when threats are identified. Practical use cases include scanning all URLs in inbound customer emails for phishing before they reach support agents, checking URLs submitted through contact forms for malicious content, and running periodic scans of URLs found in your web application logs to detect compromised links. For Australian businesses subject to data protection and cybersecurity obligations, automated URL scanning adds a practical layer of defence without requiring manual review of every link. At Osher, we build security automation workflows that connect scanning tools with notification and response systems. Our BOM data pipeline project demonstrated how automated data validation and processing can protect downstream systems from bad data. If your organisation handles sensitive data and wants to automate parts of your security workflow, our system integration services can connect urlscan.io with your email, chat, and alerting tools. Contact our AI consulting team to discuss your security automation needs.
  • Hacker News

    Hacker News

    Hacker News is a community-driven tech news platform run by Y Combinator where developers, founders, and technology professionals share and discuss articles about programming, startups, AI, open source, and emerging technology. Posts are ranked by community votes and comments, making it a reliable source for tracking what is trending in the tech world. Integrating Hacker News with n8n lets you automate monitoring of the platform for topics relevant to your business. You can track mentions of your brand, competitors, or specific technologies, get notified when posts about your industry reach the front page, and compile daily or weekly digests of trending content for your team. Common workflows include sending a Slack alert when your company or product is mentioned on Hacker News, building a daily digest of top posts filtered by keywords relevant to your industry, monitoring competitor mentions and tracking sentiment over time, and automatically sharing relevant Hacker News articles to your team’s knowledge base or content curation tool. For Australian tech companies, keeping up with Hacker News discussions can provide early signals about technology trends, potential partners, and competitive movements. Our team at Osher builds monitoring and alerting workflows that keep businesses informed without requiring manual checking of multiple platforms. If you want to automate your competitive intelligence or content discovery process, our business automation services can set up the right pipelines. Our AI consulting team can also help you build AI-powered content analysis workflows that go beyond simple keyword matching to identify relevant discussions using AI agent development techniques.
  • FileMaker

    FileMaker

    FileMaker is a low-code database platform by Claris (an Apple subsidiary) used by businesses to build custom applications for managing contacts, inventory, projects, invoices, and other structured data. It is particularly popular with small to mid-sized businesses that need something more powerful than spreadsheets but do not want to build a full custom application from scratch. Integrating FileMaker with n8n allows you to connect your FileMaker databases to the rest of your tech stack. You can push data from web forms, e-commerce platforms, or CRMs into FileMaker, pull records from FileMaker into reporting tools, and trigger workflows when records are created or updated. This is especially useful for businesses that rely on FileMaker as their core operational database but need it to talk to cloud services. Common integration scenarios include syncing new orders from Shopify or WooCommerce into a FileMaker inventory database, pushing FileMaker contact records to an email marketing platform, generating PDF reports from FileMaker data and emailing them to clients, and creating FileMaker records from incoming web form submissions. Many Australian businesses have been running FileMaker for years and hold critical operational data in it. The challenge is that FileMaker can become isolated from newer cloud tools. At Osher, we specialise in connecting legacy and established systems with modern platforms. Our property inspection company case study involved connecting field data capture systems with backend processing — a similar pattern to FileMaker integrations. Our system integration team can connect FileMaker with your CRM, accounting software, and communication tools using n8n. If your FileMaker database is central to your operations but disconnected from everything else, our AI consulting team can design an integration plan. We also offer robotic process automation services for businesses looking to automate data movement between FileMaker and other platforms.
  • Jenkins

    Jenkins

    Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD). Development teams use Jenkins to automatically build, test, and deploy code whenever changes are pushed to a repository. It supports thousands of plugins, making it adaptable to almost any development workflow — from simple build pipelines to complex multi-stage deployments. Connecting Jenkins to n8n allows you to bridge the gap between your development pipeline and your business operations. You can trigger n8n workflows when a Jenkins build completes (or fails), push deployment notifications to Slack or Microsoft Teams, create Jira tickets automatically when tests break, or sync release data with project management tools. Practical integration scenarios include sending a summary to stakeholders whenever a production deployment succeeds, triggering rollback procedures when a build fails health checks, and logging deployment metrics to a database for tracking release velocity over time. At Osher, we have built CI/CD notification and response workflows for development teams that want fewer manual steps between code commit and production deployment. Our system integration services connect tools like Jenkins with communication platforms, monitoring systems, and project trackers so your team spends less time on manual status updates. If your deployment pipeline involves repetitive manual steps, our business automation team can help you automate them. Reach out to our AI consulting team to discuss how automation can improve your development operations.
  • HTML

    HTML is the foundational markup language of the web, and in the context of automation and integration, HTML nodes and processing steps are used to generate, parse, extract, and transform web content programmatically. Whether you need to build email templates, scrape structured data from web pages, generate reports, or create dynamic documents, HTML processing is a core building block in many automation workflows. Osher Digital uses HTML processing within automation pipelines to solve practical problems. Extracting product data from supplier websites, generating branded HTML emails from templates with dynamic content, converting HTML reports into PDFs for distribution, parsing web pages to monitor pricing or availability changes, and building formatted output documents from raw data are all common use cases. These tasks would be tedious and error-prone if done manually. HTML processing pairs well with other tools in a workflow. Data pulled from a CRM or database can be merged into an HTML template to produce a polished client report. Web scraping workflows extract structured data from HTML pages and feed it into spreadsheets or databases. Email automation workflows build responsive HTML emails from dynamic data and send them through transactional email services. If you have processes that involve manual HTML work, web data extraction, or document generation from templates, our AI agent development team can build automated workflows that handle these tasks reliably and at scale.
  • AWS SNS

    AWS SNS

    AWS SNS (Simple Notification Service) is Amazon’s managed messaging service for sending notifications at scale. It supports publishing messages to multiple subscribers simultaneously through topics, delivering notifications via email, SMS, HTTP webhooks, mobile push, and other AWS services like SQS and Lambda. It is the backbone of event-driven architectures on AWS. Organisations use SNS when they need reliable, real-time notification delivery across multiple channels without building and maintaining their own messaging infrastructure. Common use cases include application alerting (server errors, threshold breaches), transactional notifications (order confirmations, shipping updates), and system-to-system event broadcasting where multiple services need to react to the same event. At Osher, we integrate AWS SNS into automation workflows through our AI consulting practice. We build notification architectures that route the right alerts to the right people through the right channels. A monitoring alert might send an SMS to the on-call engineer, a Slack message to the ops channel, and an email to the team lead, all from a single SNS topic. Business events like large orders or support escalations trigger targeted notifications that reach decision-makers immediately. We also use SNS as the connective tissue in event-driven systems, where actions in one part of your infrastructure need to trigger responses across multiple services without tight coupling between them.
  • UptimeRobot

    UptimeRobot

    UptimeRobot is a website monitoring service that checks whether your sites, APIs, and servers are online at regular intervals, typically every five minutes. When something goes down, it sends alerts via email, SMS, Slack, or webhooks so your team can respond quickly. It is widely used by development teams, agencies, and businesses that rely on web services being available around the clock. On its own, UptimeRobot tells you when something breaks. Connected to the rest of your infrastructure, it becomes the starting point for automated incident response. Osher Digital builds workflows that turn UptimeRobot alerts into structured incident management processes. A downtime alert can automatically create a ticket in your helpdesk, notify the on-call engineer via SMS and Slack, log the incident in a shared tracker, and even trigger preliminary diagnostic scripts. Beyond incident response, UptimeRobot data feeds into broader operational reporting. We build dashboards that correlate uptime metrics with deployment history, traffic patterns, and business KPIs so you can identify reliability trends and make informed infrastructure decisions. If downtime alerts currently land in an inbox where they get lost, or your team scrambles to coordinate a response every time something goes offline, our business automation services can turn those alerts into reliable, repeatable incident workflows.
  • One Simple API

    One Simple API

    One Simple API is a utility API service that bundles dozens of common web tasks into a single platform. It handles things like generating PDFs, taking website screenshots, sending emails, converting file formats, validating data, and performing lookups, all through straightforward API calls. Developers and businesses use it to avoid building and maintaining these utilities from scratch. Where One Simple API becomes especially valuable is as a component inside larger automation workflows. Osher Digital uses it to fill gaps in automation pipelines where a specific utility function is needed but a full standalone tool would be overkill. For example, an automated client onboarding workflow might use One Simple API to generate a welcome PDF, validate the client’s email address, and take a screenshot of their website for internal records, all as steps in a single process. Other common use cases include converting uploaded documents between formats as part of a data processing pipeline, generating QR codes for marketing campaigns, performing domain or IP lookups for security checks, and sending transactional emails from automated workflows without needing a dedicated email service provider. If your team keeps running into small technical tasks that slow down automation projects, our custom development services can build workflows that use One Simple API alongside your other tools to handle these tasks automatically.
  • Zulip

    Zulip

    Zulip is an open-source team chat platform built around threaded conversations. Unlike Slack or Teams where messages flow in a single stream per channel, Zulip organises discussions into topics within streams, making it far easier to follow multiple conversations without losing context. It is popular with remote teams, open-source communities, and organisations that need structured communication. When integrated with your other business tools, Zulip becomes a central hub for operational awareness. Osher Digital connects Zulip to project management systems, monitoring tools, CRMs, and deployment pipelines so that important updates arrive in the right topic thread automatically. A deployment notification lands in the engineering stream under a deployment topic. A new customer enquiry appears in the sales stream. Nothing gets buried in a noisy general channel. Common integration patterns include posting alerts from monitoring tools like UptimeRobot or Grafana, syncing task updates from project management platforms, forwarding filtered emails into specific Zulip topics, and triggering workflows from Zulip messages using bot commands. These structured integrations reduce context-switching and keep teams focused. If your team communication is scattered across too many channels or important updates keep getting missed in chat noise, our AI consulting team can design a Zulip-based communication architecture that keeps everything organised and actionable.
  • Yourls

    Yourls

    YOURLS (Your Own URL Shortener) is a self-hosted URL shortening tool that gives organisations full control over their branded short links. Instead of using third-party services like Bitly where your link data sits on someone else’s servers, YOURLS runs on your own infrastructure with your own domain, giving you complete ownership of click analytics and link management. Branded short links matter more than most organisations realise. They improve click-through rates in emails and social media, provide detailed analytics on who clicks what, and eliminate the risk of a third-party service changing their pricing or shutting down. For businesses running marketing campaigns, partner referral programs, or internal resource sharing, owning your URL shortener is a practical decision. Our automated data processing team at Osher integrates YOURLS into marketing and analytics workflows. We build systems that automatically generate branded short links when new campaigns launch, track click data alongside your other marketing metrics, and route link analytics into dashboards where your team can see which content and channels are driving engagement. We also set up YOURLS with custom rules for different use cases: vanity URLs for print materials, campaign-tagged links for attribution tracking, and internal short links that only resolve within your corporate network for secure document sharing.
  • Strapi

    Strapi

    Strapi is an open-source headless CMS that gives development teams full control over their content architecture and API design. Unlike traditional CMS platforms that couple content management with frontend presentation, Strapi provides content through APIs so the same data can power websites, mobile apps, digital signage, and any other channel that consumes structured content. Organisations choose Strapi when they need a content management system that developers can customise without limitations, while still giving content editors a clean, intuitive interface for managing pages, blog posts, product listings, or any other content type. It is self-hosted, so your data stays on your own infrastructure. At Osher, we integrate Strapi into automated content workflows using our custom AI development capabilities. Common integrations include triggering content publishing workflows when editors approve new content, syncing product data between Strapi and e-commerce platforms, and connecting content updates to notification systems so downstream teams know when new material is available. We also help organisations migrate from monolithic CMS platforms to Strapi, mapping existing content structures to Strapi’s flexible content types and building the API layer that connects to their frontend applications.
  • Snowflake

    Snowflake

    Snowflake is a cloud-based data warehousing platform that allows organisations to store, query, and share large volumes of structured and semi-structured data. It runs on AWS, Azure, and Google Cloud, offering elastic compute resources that scale independently from storage. Businesses use Snowflake to centralise data from multiple sources for analytics, reporting, and machine learning. The challenge most organisations face with Snowflake is getting data into and out of the warehouse efficiently. Raw data sits in SaaS tools, operational databases, and file systems across the business. Without automated pipelines, data engineers spend their time writing and maintaining ETL scripts rather than building analytical models. Downstream consumers (dashboards, reports, ML models) go stale when data loading falls behind. At Osher, we build and maintain the data pipelines that feed your Snowflake warehouse and deliver its outputs to the rest of your business. We connect your SaaS tools, databases, APIs, and file sources to Snowflake using n8n and purpose-built ETL workflows. We also build reverse ETL pipelines that push Snowflake query results back into operational tools like CRMs, email platforms, and dashboards. Our automated data processing team handles schema design, incremental loading, data quality checks, and pipeline monitoring so your warehouse stays accurate and your data team can focus on analysis rather than plumbing.
  • AWS DynamoDB

    AWS DynamoDB

    AWS DynamoDB is a fully managed NoSQL database service from Amazon Web Services. It handles key-value and document data at any scale with single-digit millisecond response times. Businesses use DynamoDB for applications that require consistent performance under high throughput, including e-commerce catalogues, gaming leaderboards, IoT sensor data, and user session storage. The challenge most organisations face with DynamoDB is not the database itself but connecting it to the rest of their business systems. Data sitting in DynamoDB tables often needs to flow into reporting dashboards, CRM platforms, notification systems, or other databases. Without proper integration, teams end up writing custom Lambda functions or manual export scripts that become difficult to maintain. At Osher, we build automated pipelines that connect DynamoDB to your other tools and platforms. Using n8n and AWS-native services, we set up workflows that read from and write to DynamoDB tables, react to DynamoDB Streams events in real time, and sync data across your technology stack. Our automated data processing team designs these pipelines to handle error recovery, data transformation, and throughput management so your DynamoDB integrations run reliably without constant engineering attention.
  • DeepL

    DeepL

    DeepL is a machine translation service known for producing more natural-sounding translations than many competitors, particularly for European languages. Businesses use DeepL to translate customer communications, product descriptions, support documentation, and internal content across multiple languages without hiring full-time translators for every market. For Australian businesses expanding into Asian and European markets, DeepL solves the problem of scaling multilingual content. Rather than manually sending documents to translation agencies and waiting days for results, teams can integrate DeepL directly into their content pipelines. Product listings get translated automatically when published. Support tickets from international customers get translated on arrival so local staff can respond quickly. At Osher, we integrate DeepL into your existing workflows using n8n and custom API connections. We build automations that translate content at the right point in your process, whether that is when a blog post is published, when a customer submits a form in another language, or when product data is synced to an international storefront. Our custom AI development team also combines DeepL with other language models to handle post-translation review, terminology consistency, and locale-specific adjustments that pure machine translation misses.
  • Asana Trigger

    Asana Trigger

    Asana Trigger is an n8n node that starts workflows automatically when events happen in your Asana projects — tasks created, updated, completed, or commented on. It listens for changes in real time via Asana’s webhook system, so your automations fire within seconds of a project update rather than waiting for a scheduled poll. Project managers and operations teams use the Asana Trigger to connect task management to the rest of their business. When a task is marked complete, a workflow can send a client update email, log the completion time to a reporting spreadsheet, and move related items in other systems. When a new task is created in a specific project, the trigger can assign it based on workload rules, add it to a sprint tracker, or notify the right Slack channel. Osher builds AI consulting solutions that extend Asana’s project management with intelligent automation. We have connected Asana to invoicing systems so completed project milestones automatically generate invoices. We have built approval workflows where a task status change triggers a review process across email, Slack, and management dashboards. The Asana Trigger is the starting point for all of these — it watches your projects and kicks off the downstream logic. The trigger node supports filtering by project, so you can run different workflows for different Asana projects. It captures the full task payload including custom fields, assignee, due date, tags, and comments. Combined with the regular Asana node (for reading and writing task data), you get complete two-way integration between Asana and any other system in your stack.
  • Redis Trigger

    Redis Trigger

    Redis Trigger is an event-driven mechanism that fires automation workflows whenever data changes in a Redis database. Redis is an in-memory data store used by engineering teams for caching, session management, message brokering, and real-time data processing. The trigger functionality allows external systems to react instantly when keys are set, updated, expired, or deleted in Redis. Businesses running Redis as part of their application infrastructure benefit from trigger-based automation because it removes the need for constant polling. Instead of checking Redis every few seconds for changes, a trigger-based approach pushes events to your workflow engine the moment something happens. This is critical for use cases like real-time inventory updates, session expiration handling, and cache invalidation across distributed systems. At Osher, we configure Redis Trigger nodes within n8n and custom integration pipelines to connect your Redis events to downstream business processes. Whether you need to update a dashboard when cached data changes, send an alert when a session expires, or sync Redis state with your primary database, we build the connections that make it work reliably. Our system integrations team handles the configuration, error handling, and monitoring so your engineering team can focus on building product features rather than maintaining glue code.
  • AWS SES

    AWS SES

    AWS SES (Simple Email Service) is Amazon’s cloud-based email sending platform built for transactional emails, marketing messages, and notifications at scale. The n8n AWS SES node lets you send emails programmatically from your workflows — triggered by form submissions, system events, scheduled reports, or any other automation step — using AWS’s reliable email infrastructure. Businesses use SES through n8n when they need to send email at volume without the per-message costs of platforms like Mailgun or SendGrid. Common use cases include order confirmations, password reset links, invoice delivery, appointment reminders, and automated report distribution. Because SES charges fractions of a cent per email, it is particularly cost-effective for high-volume senders. Osher integrates AWS SES into custom AI development projects where automated email communication is part of the solution. We have built workflows where AI-processed documents trigger personalised emails to clients, where automated data quality checks send alert summaries to operations teams, and where scheduled report generation pipelines email formatted PDF reports to stakeholders every Monday morning. The n8n node supports sending raw and templated emails, HTML and plain text bodies, CC and BCC recipients, custom reply-to addresses, and file attachments. It works with SES in any AWS region and requires only standard IAM credentials with SES send permissions. Combined with n8n’s scheduling and conditional logic nodes, it forms a solid foundation for any workflow that needs to send email reliably.
  • Webflow

    Webflow

    Webflow is a visual website builder and CMS that lets designers create production-ready sites without writing code. The n8n Webflow node connects your Webflow CMS collections to automated workflows — creating, updating, and retrieving collection items programmatically so your website content stays in sync with your business data. Marketing and operations teams use this integration to eliminate manual content updates. When a new product is added to an inventory system, an n8n workflow can automatically create the matching Webflow CMS item with images, descriptions, and pricing. When a blog post is approved in a content management pipeline, the workflow publishes it to Webflow without anyone logging into the Webflow designer. Osher builds system integrations that connect Webflow to CRMs, inventory platforms, and content workflows. We have set up automated publishing pipelines where content reviewed and approved in Airtable flows directly into Webflow CMS collections, complete with SEO fields and featured images. Other projects involve syncing product catalogues from ERP systems to Webflow storefronts, keeping pricing and availability accurate across channels. The n8n node works with Webflow’s CMS API, supporting collection item CRUD operations (create, read, update, delete), site publishing, and webhook-based triggers. It handles Webflow’s rate limits gracefully and supports all custom fields defined in your CMS collections — text, images, references, multi-references, dates, switches, and rich text.
  • NASA

    NASA

    NASA provides free public APIs that deliver space and earth science data including the Astronomy Picture of the Day, Mars rover photographs, near-Earth asteroid tracking, satellite imagery, and solar weather monitoring data. As an automation node, it allows workflows to pull structured scientific data from NASA’s open data sources directly into your pipeline without building custom API connections or writing code. Education platforms, science communicators, data journalists, research teams, and content creators use the NASA integration to automate the collection and distribution of space and earth science data. Instead of manually downloading images from NASA’s website or checking datasets by hand, the data flows automatically into content pipelines, dashboards, notification systems, and social media schedulers. Osher integrates NASA data feeds into automated content and alerting workflows using n8n. Our automated data processing team builds systems that pull daily astronomy imagery for social media scheduling, track near-Earth objects for monitoring dashboards, and combine satellite observation data with other sources for environmental reporting and analysis workflows.
  • Kafka

    Kafka

    Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and event-driven applications at scale. As an automation node, it allows workflows to produce messages to Kafka topics and consume messages from them, connecting your visual automation platform to high-throughput streaming data infrastructure without writing consumer or producer code from scratch. Engineering teams, data platform operators, and organisations with event-driven architectures use the Kafka integration to bridge their streaming data infrastructure with business automation workflows. Instead of building custom consumer applications for every downstream action that needs to respond to Kafka events, the events trigger automated processing through a visual workflow builder that non-developers can maintain. Osher integrates Kafka into enterprise automation architectures where high-volume, real-time data processing is a core requirement. Our n8n consulting team builds workflows that consume Kafka events for order processing, IoT sensor data routing, log analysis alerting, and real-time data synchronisation between systems that would otherwise require months of custom application development.
  • AWS SNS Trigger

    AWS SNS Trigger

    AWS SNS Trigger is an n8n node that starts workflows automatically when messages arrive on an Amazon Simple Notification Service (SNS) topic. It acts as a webhook subscriber, letting your automations react to events published across AWS infrastructure — from CloudWatch alarms and S3 bucket changes to custom application alerts — without polling or manual checks. Teams running workloads on AWS use this trigger to wire real-time notifications into downstream systems. When a production server throws an error, a pipeline finishes processing, or a billing threshold is crossed, the SNS Trigger fires and your n8n workflow takes over: routing alerts to Slack, creating tickets in Jira, updating dashboards, or escalating to on-call staff based on severity. At Osher, we help organisations connect AWS event streams to their business tools through system integrations that actually hold up under load. A typical setup involves subscribing an n8n webhook to one or more SNS topics, filtering messages by attribute, and routing them to the right team or system. Because n8n handles the subscription confirmation handshake automatically, there is no fiddly manual setup — just point SNS at your workflow URL and you are running. Common use cases include infrastructure monitoring (CloudWatch alarm to PagerDuty), data pipeline orchestration (S3 event to processing workflow), and cross-account event routing. The trigger supports standard and FIFO topics, message filtering by attributes, and raw message delivery for full payload access.
  • GitLab

    GitLab

    GitLab is a DevOps platform that combines source code management, CI/CD pipelines, issue tracking, and container registries in a single application. The n8n GitLab node lets you automate interactions with GitLab repositories and projects — creating issues, managing merge requests, triggering pipelines, and syncing project data with other business tools without writing custom scripts. Development teams use the GitLab integration in n8n to cut out repetitive manual work. When a client reports a bug through a support form, a workflow can automatically create a GitLab issue with the right labels and assignee. When a merge request is approved, another workflow can notify the project manager in Slack, update the sprint board, and log the change in a shared tracker. Osher builds business automation workflows that connect GitLab to project management, communication, and reporting tools. We have set up pipelines where code deployments in GitLab trigger client notification emails, where issue status changes sync to Airtable project trackers, and where release notes are automatically compiled from merge request descriptions and posted to internal wikis. The n8n node supports both GitLab Cloud and self-hosted GitLab instances, so teams running their own infrastructure get the same automation capabilities. It covers issues, repositories, merge requests, users, and releases through a clean REST API interface that does not require you to manage OAuth tokens manually.
  • Git

    Git

    Git is a distributed version control system that tracks changes to code, configuration files, and documentation across development teams. As an automation node, it allows workflows to clone repositories, pull changes, commit updates, create branches, and push code to remote repositories like GitHub, GitLab, or Bitbucket without anyone running commands manually in a terminal. Development teams, DevOps engineers, and technical operations staff use Git automation to remove manual steps from their deployment and release pipelines. Instead of relying on developers to remember each Git command in the right sequence, or running deployment scripts by hand, the entire version control workflow executes automatically based on triggers and schedules you define. Osher integrates Git operations into end-to-end automation pipelines using n8n. Our AI agent development team builds workflows where code changes trigger automated testing, deployment scripts run on successful merges, configuration files get updated across multiple environments, and release notes compile automatically from commit histories without manual intervention or the risk of human error.
  • Shopify Trigger

    Shopify Trigger

    Shopify Trigger is a webhook-based node that fires automated workflows whenever specific events occur in your Shopify store. It listens for new orders, customer registrations, product updates, inventory changes, fulfilment events, and refund requests, then passes structured event data directly into your automation pipeline for immediate downstream processing. E-commerce operators, fulfilment teams, and online retail managers use Shopify Trigger to automate the repetitive tasks that follow every store event. Instead of manually processing orders, updating inventory spreadsheets, or sending follow-up emails one by one, each action happens automatically within seconds of the triggering event occurring in your store. Osher builds Shopify-triggered automation workflows that connect your store to the rest of your business systems. Our business automation team creates flows where new orders route to fulfilment partners, customer data syncs to your CRM, low-stock alerts fire to purchasing teams, and post-purchase email and SMS sequences trigger automatically without anyone logging into the Shopify admin panel to check what needs doing next or which orders still need attention.
  • APITemplate.io

    APITemplate.io

    APITemplate.io is a document and image generation service that creates PDFs, invoices, certificates, social media graphics, and marketing materials from reusable templates using dynamic data. As an automation node, it allows workflows to generate professional documents programmatically by merging structured data into pre-designed templates without any manual design work. Marketing teams, finance departments, HR managers, and e-commerce operators use APITemplate.io to automate document creation that would otherwise require hours of repetitive design and formatting. Instead of opening a design tool for each invoice, certificate, or social media graphic, the documents generate automatically from your existing business data whenever they are needed. Osher integrates APITemplate.io into business workflows that produce documents at scale using n8n. Our robotic process automation team builds systems where invoices generate from order data, employee certificates create from HR records, personalised marketing materials produce from CRM segments, and branded reports compile from analytics platforms without anyone manually opening a template and filling in the details.
  • AWS Lambda

    AWS Lambda

    AWS Lambda is a serverless compute service from Amazon Web Services that runs code in response to events without requiring you to provision or manage servers. As an automation node, it allows workflows to execute custom functions written in Python, Node.js, Java, or other supported languages as part of a larger automation pipeline, handling processing tasks that go beyond what standard nodes can do. Development teams, data engineers, and technical operations staff use the AWS Lambda integration to run custom processing logic within their automation workflows. Complex data transformations, API calls to proprietary systems, machine learning model inference, and heavy computation tasks all run as Lambda functions that scale automatically based on demand. Osher integrates AWS Lambda into automation architectures where standard workflow nodes cannot handle the processing requirements. Our custom AI development team builds Lambda functions for running ML models on incoming data, processing large file transformations, executing complex business logic with custom validation rules, and connecting to legacy systems that require bespoke code to communicate with.
  • Google BigQuery

    Google BigQuery

    Google BigQuery is a serverless, highly scalable data warehouse built on Google Cloud. It enables SQL-based analysis of massive datasets — from gigabytes to petabytes — without managing infrastructure. BigQuery handles the compute resources automatically, so queries across billions of rows return results in seconds rather than hours. Data analysts, business intelligence teams, marketing analysts, and finance departments use BigQuery to centralise data from multiple sources and run complex analytical queries. Common use cases include combining Google Analytics data with CRM records, building revenue dashboards, analysing customer behaviour across touchpoints, running cohort analyses, and generating reports that would be too slow or impossible in a spreadsheet. At Osher, we connect BigQuery to your operational workflows so analytical insights translate into action. We build pipelines that load data from your CRM, advertising platforms, payment systems, and operational tools into BigQuery for unified analysis. Then we connect BigQuery outputs back to your business systems — query results can feed automated reports, trigger alerts when KPIs shift, update dashboards in real time, or push insights into your CRM for sales team action. Our AI consulting team also builds machine learning models that run directly on BigQuery data using BigQuery ML, enabling predictive analytics like churn scoring and demand forecasting without moving data out of your warehouse.
  • GitLab Trigger

    GitLab Trigger

    GitLab Trigger is the event-driven integration point for GitLab, a DevOps platform that combines source code management, CI/CD pipelines, issue tracking, and container registry into a single application. The trigger fires when specific events occur in your GitLab repositories — code pushes, merge requests, pipeline completions, issue updates, tag creation, and deployment status changes. Development teams, DevOps engineers, and engineering managers use GitLab triggers to connect their software development lifecycle to operational and business workflows. Instead of relying on developers to manually update project management tools, notify stakeholders, or trigger deployment processes, GitLab events can automatically drive those actions through automation workflows. At Osher, we connect GitLab triggers to your broader business systems so development activity flows into the tools your wider team uses. When a merge request is approved, our automations can update the related Jira or Asana task, notify the QA team in Slack, and log the change for compliance tracking. When a CI/CD pipeline fails, an alert can page the on-call engineer and create an incident ticket. When a release tag is pushed, deployment notifications go to stakeholders and release notes are compiled automatically. Our AI agent development team also builds intelligent GitLab integrations that use AI to review code changes, summarise merge requests, and flag potential issues before they reach production.
  • Webflow Trigger

    Webflow Trigger

    Webflow Trigger is a webhook-based integration node that fires automated workflows whenever specific events occur on your Webflow site. It listens for form submissions, e-commerce orders, CMS item changes, membership signups, and site publish events, then passes that structured data directly into your automation pipeline for immediate processing. Marketing teams, e-commerce operators, and web agencies use Webflow Trigger to eliminate manual data handling between their website and backend systems. Instead of checking Webflow dashboards, exporting CSVs, or copying submission details into spreadsheets, every relevant event gets captured and processed automatically the moment it happens on your site. At Osher, we connect Webflow Trigger into broader automation workflows using n8n. A typical setup routes new form submissions to your CRM, syncs e-commerce orders with accounting software, updates inventory systems, and notifies your sales team via Slack or email. Our system integrations team builds these connections so your Webflow site becomes a fully integrated part of your business operations rather than an isolated website sitting apart from your core systems.
  • CoinGecko

    CoinGecko

    CoinGecko is a cryptocurrency data aggregator that provides real-time and historical pricing, market capitalisation, trading volume, and exchange data for thousands of digital assets. As an integration node, it allows automation workflows to pull structured crypto market data directly into your pipeline without building custom API connections or writing any code. Crypto traders, portfolio managers, DeFi operators, and fintech companies use the CoinGecko integration to feed accurate market data into dashboards, alerting systems, reporting tools, and trading workflows. Instead of manually checking prices across multiple exchanges or building scrapers that break when APIs change, the data arrives structured and ready for processing. Osher connects CoinGecko data feeds into automated reporting and alerting workflows using n8n. Our custom AI development team builds systems that combine CoinGecko market data with AI-driven analysis to generate portfolio summaries, trigger price alerts across multiple communication channels, and feed real-time pricing into financial models and dashboards without any manual data gathering or spreadsheet updates.
  • Kafka Trigger

    Kafka Trigger

    Apache Kafka Trigger is an event-driven connector that listens for messages on Kafka topics and initiates workflows when new data arrives. Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data pipelines, processing millions of events per second across distributed systems. Engineering teams, data platform operators, and enterprises with real-time data requirements use Kafka to move data between microservices, feed analytics pipelines, and power event-driven architectures. Industries like financial services, logistics, telecommunications, and e-commerce rely on Kafka for use cases where data must flow continuously and reliably between systems. At Osher, we integrate Kafka triggers into business automation workflows so that streaming data can drive operational actions without custom code. When a Kafka topic receives a new message — a transaction event, sensor reading, inventory update, or user activity log — our automations pick it up and route it to the right destination. This might mean writing processed data to a database, sending alerts to operations teams, updating a dashboard, or triggering a downstream API call. Our custom AI development team also builds intelligent consumers that apply machine learning models to Kafka streams, enabling real-time scoring, classification, and anomaly detection on your event data as it flows through.
  • Mailjet

    Mailjet

    Mailjet is a cloud-based email delivery service that handles both transactional emails (order confirmations, password resets, account notifications) and marketing campaigns. It provides a drag-and-drop email builder, contact management, A/B testing, real-time analytics, and a robust sending API capable of handling high email volumes with strong deliverability rates. SaaS companies, e-commerce platforms, and development teams use Mailjet for its developer-friendly API and reliable transactional email delivery. Unlike purely marketing-focused platforms, Mailjet excels at sending time-sensitive, automated emails that need to arrive quickly and consistently — receipts, shipping notifications, two-factor authentication codes, and system alerts. At Osher, we integrate Mailjet into automated business workflows so email sending becomes part of a larger operational process rather than a standalone action. We connect Mailjet to your CRM, e-commerce platform, and internal systems so that the right emails go out at the right time based on real events. A completed purchase triggers an order confirmation through Mailjet. A support ticket resolution sends a satisfaction survey. A subscription renewal date approaching triggers a reminder sequence. Our robotic process automation services connect Mailjet to your full business process, ensuring transactional and marketing emails are sent reliably without manual intervention or custom code.
  • Elasticsearch

    Elasticsearch

    Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It stores, indexes, and queries large volumes of structured and unstructured data with sub-second response times. Beyond full-text search, Elasticsearch powers log analytics, application performance monitoring, security event analysis, and business intelligence dashboards. Engineering teams, DevOps engineers, data analysts, and security operations teams use Elasticsearch as the backbone for search-driven applications and observability platforms. Common deployments include website search bars, product catalogue search, centralised log management (often as part of the ELK stack), and real-time monitoring dashboards that track system health and business metrics. At Osher, we connect Elasticsearch to business automation workflows so your indexed data can drive operational actions. When Elasticsearch detects a spike in error logs, our automations can page the on-call engineer, create a Jira ticket, and post details to a Slack channel. When product search analytics reveal trending queries, we can update your CRM or marketing tools with those insights. We also build workflows that feed data into Elasticsearch from multiple business systems, creating a unified search layer across your CRM, support tickets, documents, and product catalogue. Our automated data processing team handles the full pipeline — ingesting data into Elasticsearch, building queries, and connecting search results to downstream business actions.
  • Markdown

    Markdown

    The Markdown node converts content between Markdown and HTML formats within your automation workflows. It takes Markdown-formatted text and produces clean HTML output, or takes HTML and converts it back to Markdown. Content teams, developers, and documentation workflows rely on it to bridge the gap between systems that use different content formats. Common use cases include converting Markdown blog drafts into HTML for CMS publishing, transforming HTML email content into Markdown for storage or editing, formatting AI-generated text into structured HTML for web display, and cleaning up messy HTML into readable Markdown. Any workflow that moves text content between applications with different format requirements benefits from this conversion step. Osher uses the Markdown node in AI agent workflows where language models generate Markdown-formatted output that needs to be published as HTML on websites, sent as formatted emails, or stored in content management systems. We also use it in reverse when scraping web content that needs to be processed as clean text. It is a small but essential utility node that prevents formatting issues from breaking your content pipelines.
  • Google Cloud Firestore

    Google Cloud Firestore

    Google Cloud Firestore is a flexible, scalable NoSQL document database built on Google Cloud infrastructure. It stores data in documents organised into collections, with real-time synchronisation across connected clients and offline support for mobile and web applications. Development teams and product companies use Firestore to power user-facing applications that need low-latency reads and writes at scale. Common use cases include storing user profiles, managing application state, tracking orders, and syncing data across devices without building custom backend infrastructure. At Osher, we connect Firestore to business workflows through automation platforms like n8n. This means Firestore events — new documents, updates, deletions — can trigger downstream processes automatically. For example, when a new customer record lands in Firestore, our automations can push that data into your CRM, send a welcome email sequence, or update a reporting dashboard. We also build reverse flows where form submissions or payment confirmations write directly back to Firestore collections. Our system integrations team handles the full pipeline from Firestore to your existing business tools, so your application data stays connected without manual exports or copy-paste workflows.