Download PDF
How WaveMaker Got Faster, Better, More Agile with Docker
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Professional Service
- Software
Applicable Functions
- Business Operation
- Product Research & Development
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
The Challenge
WaveMaker faced several challenges with their monolithic build process, which limited the number of releases they could manage. They also utilized excessive resources to support free trials for thousands of users, requiring a voluminous and complex operation for managing upgrades, updates, and workload migration. With a rapidly growing developer community, WaveMaker needed to quickly scale their operations or hire a large team to manage the increasing application workload. The company needed a solution that would allow them to efficiently manage thousands of custom apps built via their Rapid Application Development and Deployment platform.
About The Customer
WaveMaker, Inc., a Pramati Technologies company, is a software platform provider that revolutionizes how enterprises build, deliver, and manage modern custom applications. The company focuses on improving business agility and fostering innovation by leveraging the latest trends and technologies in Rapid App Development (RAD). These include multi-device auto-responsive interfaces, componentized app assembly, Docker for app-optimized container deployment on private infrastructures, and APIs and Microservices Architecture (MSA) for scalable integration. WaveMaker is headquartered in Mountain View, CA, with offices in Hyderabad, India.
The Solution
WaveMaker adopted Docker Containers to address their challenges. Docker technology allowed developers to package applications in standard containers and transfer them to virtually any server, eliminating the need for creating virtual machines for each app. This resulted in better resource utilization and increased processing power for more applications. WaveMaker also implemented a Microservice Architecture, breaking down the platform into multiple smaller services running as Docker containers. This increased the maintainability and agility of the platform, allowing for daily builds to the staging environment and weekly production releases. Additionally, WaveMaker developed an innovative volume layer technology to make containers truly portable along with the associated data, enabling simplified upgrades and container migrations.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
UBM plc: Taking the pulse of the business and engaging employees with a far-reaching strategic transformation
UBM, a leading global events business, was undergoing a significant strategic transformation named 'Events First'. As part of this transformation, the company was preparing to complete the largest acquisition in its history - Advanstar, a US-based events and marketing services business valued at more than USD970m. The company faced the risk of human capital flight if it was unable to effectively engage top talent with the new strategic direction. UBM needed to make significant structural, process and systems changes, uniting its previously autonomous regional businesses. The challenge was to ensure all of its employees were engaged and aligned with the new future vision.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Wittmann EDV-Systeme launches IT monitoring services
Small and medium-sized businesses often lack the know-how and resources required for thorough IT system monitoring. Wittmann EDV-Systeme wanted to launch a solution to plug the gap – enabling it to improve its own competitiveness and that of its customers. IT landscapes are becoming ever more complex and outsourcing is gaining popularity, IT systems must nonetheless remain easy-to-use and extremely reliable at all times. Automated, round-the-clock system monitoring therefore represents an immensely valuable proposition for companies: downtime for business-critical applications can be avoided, and IT systems remain available at all times.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
