Download PDF
Hatech Helps Companies Achieve Deployment Agility and Cost Savings Through Monitoring Automation Using Datadog
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Software
- Professional Service
Applicable Functions
- Business Operation
- Product Research & Development
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Challenge
As HATech scaled, they faced a challenge in managing and supporting a rapidly expanding pool of customers, especially those releasing changes to their software every few hours. Without an automated monitoring platform, they could not see into their customers’ infrastructure, and they were blind to potential problems. They needed a way to receive immediate alerts about any issues, and they needed real-time, detailed data to support rapid troubleshooting, even as customers’ infrastructure evolved day by day. They began a deep and thorough search for a monitoring platform that was fast, reliable, required no infrastructure management, offered flexibility to create custom add-ons, agents, and plug-ins, and was affordable.
About The Customer
HATech specializes in transforming their customers’ operations, product, and development practices into one integrated, agile process that is focused on achieving the customers’ business goals. With a full suite of professional services covering consultancy, architecture, implementation, and staff augmentation plus managed support services, HATech brings BizDevOps best practices and tooling expertise to customers across the leading public and private cloud platforms. Their customers benefit from reducing software release cycles from months to minutes.
The Solution
HATech discovered Datadog, a monitoring platform that checked all their boxes: it is hosted and requires no maintenance, it onboards new customers in minutes, and it was built to monitor evolving infrastructure. It integrates with 100+ commonly used technologies out of the box, and it can be customized to collect metrics from anything. Moreover, it is highly reliable and provides a snappy interface for interacting with real-time metrics at a good price. Datadog integrates with HATech’s alerting tool, OpsGenie, and it works with on-premises, cloud, or hybrid environments. It separates customer information, allowing HATech to meet Payment Card Industry (PCI) Data Security Standards, which are followed by many of their customers.
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.