List of Trigger.dev Observability and Monitoring Customers
Trigger.dev
3rd Floor, 1 Ashley Road,
Altrincham, WA14 2DT,
United Kingdom
Altrincham, WA14 2DT,
United Kingdom
n/a
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying Trigger.dev Observability and Monitoring customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Trigger.dev Observability and Monitoring for Database Performance Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Trigger.dev Observability and Monitoring for Database Performance Monitoring include: MagicSchool, a United States based Education organisation with 150 employees and revenues of $45.0 million, Pallet, a United States based Transportation organisation with 150 employees and revenues of $25.0 million, Magic Patterns, a United States based Professional Services organisation with 25 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Trigger.dev Observability and Monitoring, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Trigger.dev Observability and Monitoring customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Magic Patterns | Professional Services | 25 | $1M | United States | Trigger.dev | Trigger.dev Observability and Monitoring | Database Performance Monitoring | 2025 | n/a |
In 2025, Magic Patterns implemented Trigger.dev Observability and Monitoring to instrument its background job infrastructure. The implementation targets high-volume background jobs used for product and design screenshot generation and for automated credit resets tied to usage based billing, delivering Database Performance Monitoring across those workflows and improving reliability while lowering infrastructure costs.
The deployment emphasizes Database Performance Monitoring capabilities within Trigger.dev Observability and Monitoring, including job level latency and reliability metrics, query and transaction performance sampling, and connection visibility aligned with background job execution. Configuration focused on instrumenting job runners and database interactions to capture job success rates, error aggregation, and time based performance profiles typical of database monitoring in job driven architectures.
Operationally the observability configuration is embedded in Trigger.dev job pipelines that serve product design screenshot services and billing credit reset processes, covering engineering, product, and billing functions at the United States based company. The scope reflects a single site SaaS operational model for a 25 employee professional services company, with monitoring data feeding day to day engineering operations and job reliability oversight.
Governance of the implementation centers on engineering ownership for observability and job reliability metrics, with standards for what database performance signals and job metrics are tracked and how alerts are surfaced. Trigger.dev Observability and Monitoring provides Database Performance Monitoring for Magic Patterns, supporting sustained reliability of screenshot generation and automated billing resets while reducing infrastructure cost exposure.
|
|
|
MagicSchool | Education | 150 | $45M | United States | Trigger.dev | Trigger.dev Observability and Monitoring | Database Performance Monitoring | 2024 | n/a |
In 2024, MagicSchool implemented Trigger.dev Observability and Monitoring to instrument and monitor its background summarization pipelines that process student interaction data. Trigger.dev Observability and Monitoring is paired with Trigger.dev task orchestration to enqueue and run summarization tasks that read and write to a Supabase database, generating teacher facing engagement summaries from millions of student interactions and enabling over a million interactions to be summarized in weeks. The deployment targets the education classroom analytics process area and is focused on high volume asynchronous summarization workflows.
Implementation work centered on configuring task run telemetry, job queue instrumentation, and database write performance metrics consistent with Database Performance Monitoring. Trace correlation links individual task executions to Supabase write operations, capturing latency, error, and throughput signals across the end to end summarization flow. Configuration emphasizes durable task instrumentation and retention of execution traces to support analysis of repeated summarization jobs.
Integration with Supabase is explicit, with monitoring ingesting task events and write acknowledgements from the Supabase database used by the analytics pipelines. Operational coverage spans the ingestion, processing, and summary generation stages that produce teacher facing reports, with Trigger.dev Observability and Monitoring operating as the Database Performance Monitoring layer for those pipelines. The implementation aligns observability data with the classroom analytics artifacts consumed by product and analytics teams.
Observability outputs are routed into engineering triage workflows for fault isolation and prioritization, informing runbook driven responses to task failures and database write anomalies. Governance focuses on defining monitoring thresholds and operational thresholds for asynchronous job processing, ensuring teams can consistently surface and investigate performance regressions in the summarization pipelines.
|
 |
Pallet | Transportation | 150 | $25M | United States | Trigger.dev | Trigger.dev Observability and Monitoring | Database Performance Monitoring | 2025 | n/a |
In 2025, Pallet implemented Trigger.dev Observability and Monitoring for Database Performance Monitoring. Pallet is a United States headquartered transportation company that uses Trigger.dev to orchestrate AI copilots which ingest, normalize and reconcile shipment and transport data across multiple systems in the logistics and operations process area.
Trigger.dev Observability and Monitoring was configured to instrument long running, data heavy orchestration workflows and to provide database performance monitoring for the pipelines that push structured updates to downstream systems. Functional capabilities deployed include workflow instrumentation, collection of performance metrics, distributed tracing of asynchronous jobs, and alerting tied to slow or failed reconciliation steps, all aligned to monitor data throughput and latency in the orchestration layer.
Operational scope centers on logistics and operations teams with engineering ownership for instrumentation and runtime diagnostics, and the system is used to observe end to end freight processing flows that span multiple internal and downstream systems. Governance changes included centralizing monitoring ownership between operations and engineering and formalizing observability workflows for AI copilot orchestrations. The implementation supports reduced manual coordination and faster freight processing by surfacing performance bottlenecks and reconciliation failures in real time.
|
Showing 1 to 3 of 3 entries
Buyer Intent: Companies Evaluating Trigger.dev Observability and Monitoring
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Trigger.dev Observability and Monitoring. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Trigger.dev Observability and Monitoring Coverage
Trigger.dev Observability and Monitoring is a Database Performance Monitoring solution from Trigger.dev.
Companies worldwide use Trigger.dev Observability and Monitoring, from small firms to large enterprises across 21+ industries.
Organizations such as MagicSchool, Pallet and Magic Patterns are recorded users of
Trigger.dev Observability and Monitoring for Database Performance Monitoring.
Companies using Trigger.dev Observability and Monitoring are most concentrated in Education, Transportation and Professional Services, with adoption spanning over 21 industries.
Companies using Trigger.dev Observability and Monitoring are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Trigger.dev Observability and Monitoring across Americas, EMEA, and APAC.
Companies using Trigger.dev Observability and Monitoring range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.
Customers of Trigger.dev Observability and Monitoring include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Trigger.dev Observability and Monitoring customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Performance Monitoring.