List of Tier1App Customers
Dublin, 94568, CA,
United States
Since 2010, our global team of researchers has been studying Tier1App 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 Tier1App for ML and Data Science Platforms 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 Tier1App for ML and Data Science Platforms include: Wells Fargo, a United States based Banking and Financial Services organisation with 205198 employees and revenues of $83.70 billion, Mondee, a United States based Professional Services organisation with 25 employees and revenues of $3.0 million, Softaria Russia, a Russia based Professional Services organisation with 17 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Tier1App, 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 Tier1App 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Mondee | Professional Services | 25 | $3M | United States | Tier1App | Tier1App | ML and Data Science Platforms | 2017 | n/a |
In 2017, Mondee implemented Tier1App, classified as ML and Data Science Platforms, to support an infrastructure and DevOps use case for its United States travel marketplace. Vendor materials represent Tier1App and GCeasy customers as using ML-aided GC and thread analysis to speed root-cause investigation and optimize platform performance.
Tier1App deployment emphasized ML-driven analysis modules for garbage collection traces and thread dump interpretation, incorporating automated anomaly detection, diagnostic scoring, and prioritized fault identification across JVM-based services. The implementation narrative centers on ML-aided GC and thread analysis capabilities that surface likely root causes and actionable diagnostic guidance for platform engineers.
Operational scope focused on Mondee infrastructure and DevOps teams, embedding Tier1App outputs into incident investigation workflows and observability practices. According to vendor materials, Tier1App’s ML analysis was used to accelerate root-cause investigation and to support platform performance optimization efforts.
|
 |
Softaria Russia | Professional Services | 17 | $1M | Russia | Tier1App | Tier1App | ML and Data Science Platforms | 2017 | n/a |
In 2017, Softaria Russia implemented Tier1App within an ML and Data Science Platforms use case to support application performance analysis for a high traffic gaming application. Softaria used Tier1App's fastThread to ingest and analyze hundreds of megabytes of JVM thread dumps, enabling rapid root cause identification that stopped repeated server restarts and restored player experience.
The deployment centered on the fastThread module of Tier1App, leveraging ML aided analysis to parse thread dumps, surface lock contention and thread state anomalies, and cluster similar stack traces for faster triage. Configuration emphasized automated ingestion pipelines and prioritization rules so operations teams received ranked signals rather than raw dump files, improving operational triage efficiency.
Operationally this was an application performance and DevOps implementation in Russia impacting SRE and operations teams responsible for the gaming stack. fastThread outputs were folded into incident response workflows and runbooks to accelerate remediation, with the explicit outcome of halting server restart cycles and restoring player experience.
|
 |
Wells Fargo | Banking and Financial Services | 205198 | $83.7B | United States | Tier1App | Tier1App | ML and Data Science Platforms | 2017 | n/a |
In 2017, Wells Fargo & Company implemented Tier1App as an ML and Data Science Platforms solution to support JVM performance engineering and GC troubleshooting within its infrastructure and DevOps domain. The deployment targeted JVM runtime diagnostics, using Tier1App to provide machine learning driven analysis for garbage collection and thread state issues.
Tier1App was used with its GCeasy/yCrash tools to perform ML GC and thread analysis, parsing GC logs and thread dumps to accelerate triage workflows. The implementation emphasized automated pattern detection and diagnostic summarization capabilities typical of ML and Data Science Platforms, reducing the manual interpretation burden on engineering teams.
Operational coverage was North America, with engineering and DevOps teams adopting Tier1App for incident triage and performance troubleshooting. Governance focused on embedding ML analysis into existing JVM diagnostics workflows, and vendor testimonial evidence indicates the workstream reduced the time engineers spent on manual analysis.
|
Buyer Intent: Companies Evaluating Tier1App
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||