Datadog achieved Amazon Web Services (AWS) Education Competency.
This status recognizes that Datadog has demonstrated technical proficiency and success in building solutions that support mission-critical workloads of customers in the higher education, K-12 primary/secondary, research and publishing sectors.
“At the Center for Translational Data, we leverage AWS to develop and operate large-scale data platforms to support research for cancer, cardiovascular disease and veterans’ health, to name a few,” said Bill Winslow, Director of Platform Engineering at the University of Chicago. “We operate a data ecosystem comprising over a dozen data commons that make over 10 PBs of data available to the research community. Datadog is a key component of our mission to have our data readily accessible by providing our team with the insight and visibility required to efficiently and effectively monitor our distributed and complex systems. Platform Engineering practices DevOps, SRE and SecOps, and Datadog is a critical tool to help maintain velocity while remaining accountable and responsible for the platform. We’ve gained incredible insight on our platform that has led to resolutions of long-standing issues (including capacity and performance).”
AWS established the AWS Competency Program to help customers identify consulting and technology partners with deep industry experience and expertise. Achieving the AWS Education Competency speaks to Datadog’s place within the AWS Partner Network (APN) as a member with a history of success in providing customers specialized solutions that align with AWS architectural best practices and that support the academic experience of teachers and learners, as well as the operational needs of administrators. To receive this designation, Datadog underwent an assessment of the security, performance and reliability of its solutions and validated its deep AWS expertise.
“By delivering real-time monitoring and security capabilities for AWS workloads, we maintain uptime for educational institutions so they can provide the best experiences possible to their students, teachers and administrators,” said Yrieix Garnier, VP of Product at Datadog. “Our team is proud to support these institutions and help them achieve their goals by leveraging the agility of the cloud.”
The Latest
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
