🎉 ScaleOps is excited to announce $58M in Series B funding led by Lightspeed! Bringing our total funding to $80M! 🎉 Read more →

Go back
Case Studies

AccessFintech/ScaleOps – Case Study

Name of the company:
AccessFintech
Company size:
160 employees
Industry:
Financial Technology
Cloud provider:
AWS
Location:
New York & Tel Aviv

About AccessFintech

AccessFintech, a pioneering force in financial technology, enhances operational efficiency and transparency for financial institutions through its collaborative data management platform. With a mission to create a more interconnected and informed financial ecosystem, AccessFintech’s innovative solutions streamline workflows, mitigate risk, and promote industry-wide collaboration. Trusted by leading financial institutions and utilized across global markets, AccessFintech stands out for its dedication to quality and technological advancement. Managing millions of data points daily, the company partners with top-tier organizations and is recognized as a trailblazer in transforming financial operations and data management.

Key Results

  • Significant Cost Savings: By using ScaleOps to automate their Production environments, AccessFintech achieved a significant cost reduction by reducing resource allocation requests by more than 60%. 
  • Optimized Resource Allocation: AccessFintech benefited from frictionless and hands-free resource allocation processes, ensuring optimal cost savings without sacrificing performance.
  • Enhanced Efficiency and Reliability: ScaleOps’ ongoing and automatic Pod rightsizing ensured that AccessFintech maintained high reliability throughout a variety of events and peaks across all production clusters.
  • Increased Developer Productivity: The automation of resource management enabled AccessFintech’s engineers to focus on innovative projects, significantly boosting productivity.

The Challenge

  • Manual Management of Pod Requests: The manual sizing of pod resource requests posed significant challenges, leading to inefficiencies and inconsistencies in resource allocation.
  • High Reliability for Production Environments: Ensuring the reliability of production environments was critical. Any resource mismanagement risked service disruptions, potentially damaging the company’s reputation and customer trust.
  • Ongoing Optimization Efforts: AccessFintech’s production environments are dynamic and constantly changing. As such, the engineering teams’ attention was required as part of the manual effort to size resource requests.
  • Managing Resources Across Multiple Clusters: Overseeing resources across multiple clusters added complexity, necessitating significant manual intervention and monitoring.

Managing Kubernetes resources at AccessFintech involves several challenges, particularly when it comes to precise resource allocation. Overprovisioning leads to wasted resources, while underprovisioning can cause performance issues or outages. The complexity is further heightened by the need to manage resources across multiple clusters, each requiring detailed oversight and manual intervention.

In production environments, maintaining high reliability is essential. Any missteps in resource management can lead to significant service disruptions, undermining customer trust and the company’s reputation. The manual management of pod resource requests introduced inefficiencies and inconsistencies, making it difficult to achieve optimal resource utilization.

Effectively addressing these challenges demands a proactive approach: continuous optimization, precise balancing of resource allocation, and strategic oversight of

ScaleOps revolutionized our Kubernetes management at AccessFintech. By automating resource optimization, we’ve seen a dramatic reduction in CPU requests, ensuring optimal performance without over-provisioning. This shift has not only saved costs but also freed up our teams to focus on innovation and strategic initiatives.

–  Sagi Tiger, Head of Infrastructure Operations at AccessFintch

The Solution

  • Full Automation – ScaleOps automates the optimization of AccessFintech’s containerized workloads, dynamically adjusting CPU and memory requests in real-time according to demand. This ensures optimal performance even during peak usage periods.
  • Optimization of  Critical Workloads: ScaleOps effectively optimized AccessFintech’s critical production workloads which require high-availability, such as Kafka, using advanced automation. This ensures precise resource allocation, maintaining reliability and performance without causing any disruption. AccessFintech trusts ScaleOps for a robust operational environment.
  • Seamless Integration with Auto-Detecting Policies: ScaleOps’ auto-detecting policies provided AccessFintech with tailored, out-of-the-box solutions, simplifying resource management without extensive manual configuration. Trusted automation based on real results made the tool accessible and efficient for AccessFintech’s engineering teams.
  • Hands-Free Operations – The automated processes implemented by ScaleOps free AccessFintech’s engineering teams from the ongoing task of resource management, allowing them to focus on more strategic initiatives. This hands-free approach is particularly critical in AccessFintech’s rapidly growing and dynamic environment.

AccessFintech’s implementation of ScaleOps addresses the core challenges of manual management, ongoing optimization, and balancing resource allocation. By automating these processes, AccessFintech achieves a robust, hands-free management system that ensures high reliability and efficiency in their production environments, ultimately leading to substantial cost savings and improved operational performance.

The Impact

Implementing ScaleOps at AccessFintech has had a profound impact on resource management, cost efficiency, and operational reliability. Here’s how:

Cost Savings

  • Optimized Resource Utilization: The automation and optimization capabilities of ScaleOps have led to significant cost savings for AccessFintech. By accurately aligning resource allocation with workload needs and reducing the need for manual oversight, AccessFintech has achieved a more cost-effective operation.

Enhanced Performance Across Environments

  • Consistent High Performance: ScaleOps ensures enhanced performance across all environments, including production. With real-time optimizations and precise resource management, AccessFintech can maintain high reliability and efficiency, meeting the stringent demands of financial technology services.

Request Optimization

  • Significant Reduction in CPU Allocation Requests: ScaleOps has optimized resource requests, leading to over a 60% reduction in CPU allocation requests. This substantial decrease not only ensures that resources are used efficiently but also minimizes the risk of over-provisioning, contributing to overall cost savings.

Automation of Manual Tasks

  • Enhanced Focus for Developers and DevOps Teams: By automating manual tasks related to resource management, ScaleOps has allowed AccessFintech’s developers and DevOps teams to concentrate on their core responsibilities. This shift has resulted in increased productivity and more time dedicated to strategic projects and innovation.

Ease of Use

  • Built-in Auto-Detecting Policies: AccessFintech benefits from ScaleOps’ built-in auto-detecting policies, which are tailored to fit the specific needs of each workload. This ease of use simplifies resource management, making it accessible and efficient for the engineering teams without requiring extensive manual configuration.

Overall, ScaleOps has transformed how AccessFintech manages its Kubernetes environment. The automation and optimization capabilities provided by ScaleOps have driven significant improvements in efficiency, cost savings, and service reliability, empowering AccessFintech to achieve its mission of enhancing operational efficiency and transparency for financial institutions.

Other Case Studies

Orca/ScaleOps – Case Study

Orca/ScaleOps – Case Study

Name of the company: Orca Security
Company size: 201-500 employees
Industry: Cyber Security
Cloud provider: EKS
Location: Tel Aviv
Outbrain/ScaleOps – Case Study

Outbrain/ScaleOps – Case Study

Name of the company: Outbrain
Company size: 850 employees
Industry: Advertisement Technology
Cloud provider: AKS
Location: Tel Aviv & New York

Schedule your demo