Case Study | Resource Center

これまでのログ管理基盤は、クライアントPCなどログの収集や管理がしにくく、可視化や傾向分析をするのに苦労していた。そのため、セキュリティインシデントが起きてから、ログを確認して対処するという事後対策にとどまりがちであった。

After examining a number of alternatives, The Pokémon Company International standardized on Sumo Logic’s born-in-the-cloud technologies to ingest and organize machine data from across its entire AWS portfolio.

As part of carrying out a major initiative to modernize its technology architecture, Phlexglobal began transitioning its software from on-premise to cloud computing, while simultaneously incorporating well-adopted application delivery tactics such as containerization, Agile methodologies, and DevOps. Alleviating the headaches caused by stitching together the information found in log files would go a long way towards making this venture a success.

With Sumo Logic in place, Freshworks set up comprehensive, sophisticated alerting that employed artificial intelligence to more efficiently diagnose operational issues before they became crises.

LendingTree is keenly focused on maintaining high uptime levels by minimizing outages, disruptions, and other unplanned events. This provides better service to its more than eight million customers while curtailing revenue-sapping interruptions. The company also continually seeks new avenues for innovation and cost savings, with the Kubernetes project serving as one notable example. By spreading cloud computing workloads across platforms from multiple vendors, Kubernetes had the potential to significantly boost reliability. However, LendingTree needed to find a unified approach for understanding the state of their distributed environment, becoming aware of issues regardless of their origin, and then quickly resolving those problems.

Medidata is a leading life sciences technology provider. The company’s mission is to aid pharmaceutical firms and medical equipment manufacturers in validating that their experimental drugs or devices are safe, effective, and help treat a given disease.

As one of the U.K.’s largest media companies, Channel 4 provides nearly two dozen distinct content viewing apps and platforms designed to support an expanding, demanding viewer community of greater than 20 million people. All of this activity generates huge quantities of disparate log data that had not been properly gathered or analyzed, making it difficult to optimize the user experience as well as fully exploit the next generation of cloud computing architectures.

Running infrastructure at Swiggy’s scale requires a great amount of observable insight into what the systems are doing and how they are performing, in order to be able to make sure that the service delivery is seamless. This means being able to look at metrics, look at logs, look at events happening on each of the systems and servers, be able to examine them, discover early warning signals of something going wrong, and intervening quickly.

After being the victim of one of the worst cyberattacks in history, fast-growing Coincheck took the extraordinary step of halting much of its operations and then completely redesigning its entire customer-facing application portfolio. From the beginning of this remarkable transformation, the company also sought strategies to utilize its machine data collection to assist in its efforts to impede such an attack from ever occurring again.

Rewardle is a marketing and transactional platform that combines membership, points, rewards, mobile ordering and payments along with social media integration into a single, cloud-based platform powered by big data analytics.

As part of Paf’s journey to the cloud, the company needed a data analytics solution to help consolidate tools and give them the visibility to help monitor their distributed systems as they worked to modernize its application stack into Amazon Web Services (AWS). Paf was looking for an automated solution that would support its hybrid infrastructure, correlate log and metric data and support security regulations such as GDPR.

GumGum needed to establish a robust, centralized control system to coordinate its sprawling, highly complex distributed computing environment. In addition to streamlining ongoing operations, this initiative would help identify and correct problems and thus reduce revenue-sapping response latency.