As applications grow in size and complexity, inefficient garbage collection (GC) can significantly hinder performance, leading to slower response times, elevated CPU usage, and increased operational costs. GCeasy, a specialized GC log analysis tool, empowers companies to pinpoint and resolve these issues quickly by providing actionable insights and tailored tuning recommendations. Organizations using GCeasy have experienced substantial improvements in application performance and operational efficiency, as demonstrated in the following case studies and customer testimonials.
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GCeasy Capabilities
GCeasy enables organizations to address critical application performance issues, reduce costs, and resolve problems faster. Below are three key ways GCeasy delivers value:
1. Boost Application Performance
a. Improving Response Time: One of the world’s largest automobile manufacturers, faced response time issues due to inefficient GC behavior. By tuning their GC settings using GCeasy, automobile manufacturer was able to reduce overall response time by 50%, from 1.88 seconds to 0.95 seconds. Additionally, transactions taking over 25 seconds were reduced by 55%. This case highlights how GC tuning can drastically improve user experience without requiring code or infrastructure changes.
b. Increasing Throughput: An insurance company suffering from frequent GC pauses was able to boost application throughput by 23% after identifying an under-allocated heap size with GCeasy. The company adjusted their heap size from 8GB to 12GB, resolving the issue of intermittent unresponsiveness. This demonstrates how GC tuning, when applied correctly, can help systems handle more transactions without increasing costs.
c. Reducing GC Pauses: In a robotics application used in warehouse automation, garbage collection pauses lasting over 5 minutes caused significant disruptions in robot decision-making and shipping workflows. GCeasy helped the robotics team switch to a more suitable GC algorithm, reducing pause times to just 2 seconds. This change streamlined robot performance, ensuring a more efficient and consistent operational process.
2. Reducing Computing Costs:
a. Lowering CPU Consumption: Uber, the global ride-sharing platform, faced escalating cloud costs due to inefficient GC processes. Using GCeasy to analyze and tune their garbage collection behavior, Uber reduced CPU consumption by a staggering 70,000 CPU cores, resulting in millions of dollars in cloud cost savings. This illustrates how optimizing GC behavior can yield substantial financial benefits.
b. Optimizing Memory Allocation: A critical service hosted by a top cloud provider was experiencing excessive young generation GC pauses. Using GCeasy, they optimized their GC settings, specifically reducing the size of the young generation. This adjustment led to a 99% reduction in GC pause time, significantly improving the application’s stability and performance. Additionally, this optimization allowed them to fine-tune memory allocation, ensuring that resources were being utilized efficiently without over-allocating memory.
c. Reducing Licensing and Infrastructure Costs: Effective GC tuning through GCeasy not only reduces CPU and memory usage but also lowers the number of containers or instances required to run applications. This leads to reduced software licensing costs and infrastructure costs. By using GCeasy, organizations can run applications more efficiently, lowering the total cost of ownership for their software and hardware infrastructure.
3. Accelerating Production Problem Resolution
a. Unearth OutOfMemoryErrors Easily: There are 9 different types of OutOfMemoryError, each with unique causes. Many of these errors leave clear traces in the garbage collection behavior of an application. When an OutOfMemoryError occurs, you’ll often see GC events running more frequently, but objects in memory fail to be reclaimed.
For example, GCeasy can quickly identify these patterns, making it clear that an OutOfMemoryError is the root cause. This allows engineers to take action before the problem escalates into a full application crash, minimizing downtime and the effort required to resolve memory-related production issues.
b. Forecasting Memory Issues Before They Happen: Most monitoring tools are reactive—they detect problems only after they occur. GCeasy provides proactive insights, allowing companies to forecast memory-related issues minutes ahead of actual failures. This capability helps businesses prevent production outages and ensure smoother performance in high-traffic environments, reducing costly downtime.
ROI Calculation: ~$3.6m million in cost savings
- Engineering Time Savings: GCeasy brings significant savings by reducing the time engineers spend analyzing and resolving issues caused by inefficient garbage collection. Let’s consider an organization that analyzes 1,000 GC logs per month across its applications. Each GC log analysis takes at least 3 hours to analyze. With a Performance Engineer’s average hourly rate at $100 in the U.S., GCeasy can save approximately $3.6 million annually (1,000 GC logs x 3 hours/log x $100/hour x 12 months).
- Revenue Savings & Brand Reputation: Beyond these direct savings, GCeasy also helps prevent costly application downtime. Even a single minute of downtime can lead to significant revenue loss, impact customer trust, and damage brand reputation, costs that often surpass operational expenses. By proactively identifying memory and GC issues before they escalate, GCeasy minimizes downtime risks, protecting both your financials and your brand.
- Computing Cost Savings: Additionally, by optimizing CPU and memory usage, GCeasy reduces overall computing costs. Proactive GC tuning helps avoid over-provisioning, saving millions in resource expenses while ensuring your systems run efficiently and reliably.
If I Rarely Do GC Analysis, Is GCeasy Subscription Worth It?
Yes, even if you rarely perform GC analysis, GCeasy remains a valuable investment. Open-heart surgeries are rare events, most likely once in a lifetime event. Yet, their value to that human life is immeasurable. Similarly, even occasional use of GCeasy can unlock game-changing advantages: slashing computing costs, accelerating response times, and resolving memory issues with precision and ease. Learn more about the benefits of GCeasy for infrequent analysis here.
A Few Customer Success Stories
Here are some success stories from companies that were once in the same evaluation stage you may be in today. Here’s what they achieved after adopting GCeasy.
- Insurance Platform Increased Throughput by 30%: An insurance company uncovered allocation bottlenecks through GCeasy, leading to significant throughput improvements.
- Telecom App Reduced GC Pause Time and CPU Load: Mobelium engineers used GCeasy to fine-tune memory settings & reduce GC pause time by 83%, and lower CPU utilization.
- Uber Saved 70,000 CPU Cores by Tuning Go GC: Uber’s engineering team used GCeasy’s GC insights to optimize Go-based applications, resulting in massive infrastructure savings.
- Robot Control System Became More Responsive: A robotics company diagnosed GC-induced latency using GCeasy and improved real-time performance in its robot control system.
- Young Gen Tuning Reduced GC Frequency and Cost: By identifying oversized young generation settings, a customer reduced GC frequency and improved app stability.
- Automobile Firm Improved Performance and User Experience: A major auto manufacturer leveraged GCeasy to detect over-allocation and streamline memory usage across their apps.
These stories showcase GCeasy’s impact on cutting computing costs, improving application performance, and resolving memory issues across multiple industries.
Comparison Matrix
The following comparison matrix highlights how GCeasy excels in key features related to garbage collection analysis and JVM performance optimization compared to other popular tools.
| Feature | GCeasy | Dynatrace | New Relic | VisualVM | GCViewer |
|---|---|---|---|---|---|
| GC KPI Reporting | ✔️ | – | – | – | ✔️ |
| GC Cause Identification | ✔️ | Partial | – | – | Partial |
| Realtime GC Monitoring | ✔️ | ✔️ | ✔️ | – | – |
| Integration with CI/CD | ✔️ | Partial | Partial | – | – |
| Native Memory Tracking | ✔️ | ✔️ | – | ✔️ | – |
| REST API to Automate Analysis | ✔️ | ✔️ | – | – | – |
| Mathematical Models for Memory Allocation | ✔️ | – | – | – | – |
| ML Algorithms to Forecast Memory Leaks | ✔️ | – | – | – | – |
| JVM Settings Recommendations | ✔️ | – | – | – | – |
| Compare GC Reports | ✔️ | – | – | – | – |
| Tag & Search GC Reports | ✔️ | – | – | – | – |
| Detailed GC Phase Level Reporting | ✔️ | Partial | – | – | – |
| Cost Efficiency | High | Moderate | Moderate | Free | Free |
| Ease of Use | High | Moderate | Moderate | Low | Low |
Fortune 500 Customers
GCeasy is trusted by industry-leading organizations to optimize Java application performance and reduce costs. Our clients include:
| Industry | Customers |
|---|---|
| Technology & Software Solutions | Apple Inc., Audiocodes, Cloudbees, Crowdstrike, Datastax, Dremio, Forgerock, Intuit, Jamf, jfrog, Micron, Miro, Nutanix, ON24, Pingidentity, Pinterest, Qualcomm, SAP, Saviynt, Sentry, Service Now, Zucchetti |
| Banking & Financial Services | Bloomberg, CBQ, Equilend, Evertec (Paytrue S.A), Flextrade Systems, Inc., ICE, IMC, MSCI, NAIC, QNB Finansbank A.Ş, SOCIETE GENERALE, TD Ameritrade, TD Bank, Wells Fargo, Westpac |
| Retail & E-commerce | FreshDirect, LVM, Revolveclothing, Teleflora, Walmart |
| Insurance | Cigna/ Evernoth, Delta Dental, Farmers Insurance, Metlife |
| Healthcare & Pharmaceuticals | Cerner (Oracle), GE Precision Healthcare, NHS.Scot |
| Telecommunications | Genesys Telecommunication Labs, Mobileum, Motorola, Telefonica |
| Automotive | Rivian, Toyota |
| Human Resources | Trinet, WorkDay |
| Travel & Hospitality | Kayak, Lifemiles (Avianca) |
Testimonials
Conclusion
GCeasy empowers organizations to optimize Java applications by providing actionable insights into garbage collection behavior. Through real-world success stories from Toyota, Uber, IBM, Mondee, Wells Fargo, and other organizations, it is clear that GCeasy can significantly enhance application performance, reduce operational costs, and streamline troubleshooting efforts.
By investing in GCeasy, enterprises stand to gain:
- Improved response times and throughput, benefiting end users.
- Substantial savings in CPU usage and infrastructure costs, reducing operational expenses.
- Proactive identification of memory issues, ensuring better application reliability.
The ROI is clear: GCeasy not only boosts performance but also saves your organization time and money, creating long-term value.
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