Operations | Monitoring | ITSM | DevOps | Cloud

Case Study

Hear how PayPal is accelerating their pace of innovation with Datadog

With over 426 million active users, comprised of consumers and merchants, Paypal processes approximately 25 billion transactions valued at around $1.53 trillion USD. Paypal is shaping the future of commerce for millions of customers globally, and to do that, they use Datadog to provide timely insights into their entire stack.

How Cortex Speeds Production Readiness: A Before and After Story

Engineering teams are always shipping something—new services, resources, models, clusters, etc. You probably have a set of standards you expect developers to abide by when doing that work, like adequate testing, code coverage, resolution of outstanding vulnerabilities, etc. But how are you actually tracking and enforcing those standards? Without an Internal Developer Portal, you might find that to be an incredibly manual effort.

Cisco uses Elastic to save 5,000 support engineer hours a month

With the precision of search and the intelligence of AI, Cisco uses Elastic on Google Cloud to create richer search experiences, so support engineers can quickly find the answers they need. Scaling from this success, Cisco's Search team added AI models, semantic search, and vector search to more than 50 internal- and external-facing apps, helping them innovate more quickly and increase overall operational efficiency.

How we used Datadog to save $17.5 million annually

Like most organizations, we are always trying to be as efficient as possible in our usage of our cloud resources. To help accomplish this, we encourage individual engineering teams at Datadog to look for opportunities to optimize. They can share their performance wins, big or small, in an internal Slack channel along with visualizations and, often, calculations of the resulting annual cost savings.

Case Study: McKenzie Intelligence Services

McKenzie Intelligence Services (MIS) is a company specializing in damage assessment post-disasters. Their platform, the Global Events Observer (GEO), offers comprehensive coverage of natural and manmade disasters worldwide, such as hurricanes, floods, civil unrest, and rioting. MIS provides an expert-assessed view of the world through analysts who analyze various imagery sources, including satellite and street-level imagery.

OpManager saves $240,000 for an aviation company through streamlined operations and reduced maintenance costs

The aviation industry is rising to new heights due to the ever-increasing demand for air travel and cargo transport. This expansion has led to intricate operational networks, making efficient IT management necessary to ensure seamless flight operations. With this in mind, an Australian aviation company sought out a solution.

Identifying VMware underutilization using SquaredUp dashboards

Recently I've been working with an MSP on a couple of their use cases. One of the services they're designing for their customers is that of cost optimization on their IT infrastructure. On top of the in-house services and tools they had, they needed a tool to help them identify and quantify this underutilization. This is something SquaredUp is very well suited to do – and so we got to work!

Stack Overflow rolls out generative AI using Elasticsearch and Azure Open AI

Stack Overflow puts Elastic at the heart of OverflowAI powered by Azure OpenAI, a new search tool that enables developers to retrieve trusted information from a knowledge base of 60 million questions and answers. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

How CloudZero Gave Duolingo Engineers What They Really Wanted

Many SaaS companies struggle to get engineers to take charge of costs and lower cloud expenses. Confused business leaders often put the problem on the shoulders of the engineers: Surely, it’s just that the engineers don’t care enough to stay within budget, or maybe they just don’t want to participate in the culture of cost efficiency leadership is trying to build. But what if your engineers actually do want to optimize costs—they just don’t have the tools and data to do so?