Cloud application data analysis and advantages of cloud monitoring with DataDog

What are the main characteristics and advantages that DataDog offers to the end customer in terms of cloud monitoring and data analysis of cloud applications?
Miguel Ángel Suárez, Sales Director at DataDog Iberia, solve this and other questions about DataDog, the leading solution for extreme intelligent monitoring of cloud applications.
Despite its short history in Iberia due to its birth in 2010, DataDog is presented as the SaaS platform with a single agent, which has an integrated platform for ingesting and analyzing data in real time, providing differentiators and innovation to the current market.
Its great differentiators include the construction of a single and simple data model, very easy to use for everyone, and in this way, all people within their organizations can consume it.
What this causes is that observability or cloud monitoring is possible under the same platform, stacking all the metrics, traces and logs in the same space, having the appropriate context of all the data analysis, regardless of whether you are working in development. , operations, security, user experience, etc. All this, thanks to the 100% integration of DataDog in DevSecOps-offering security in the DevOps world.
So when a customer with multiple cloud applications, who is facing a series of challenges, knocks on DataDog's door, he wants to find the best solutions on the market in terms of data analysis.
Due to the work they do in different markets, in DataDog they find different synergies in terms of challenges, and even more so after the new normal, which is promoting all hyper-scalable technologies, multi-cloud systems, containers or even the implementation of other types of technologies, from open source to Big Data.
All this adds an extra complexity to the day to day, since from a very small number of sellers they go to a very large number of sellers. The computing units go from systems based on physical hardware to adaptations in the cloud or open source or hybrid systems, between the cloud, serverless and microservices. This is one of the main issues demanded by the market today, so it must have the ability to respond faster, making many releases, all depending on the nature that each business demands based on cloud applications of those that have.
All these challenges force DataDog to operate in agile and integrated mode in each of the companies, in order to eliminate silos and respond to all the problems that arise depending on each business.
DataDog and PUE have been working effectively and together in the field of cloud monitoring for a long time. This partnership arises after the adoption of new technologies in the market, such as Big Data or digital transformation in cloud or multi cloud, of which PUE has the necessary knowledge and in conjunction with DataDog, which adds the additional point of observability and cloud monitoring, resulting in a union that offers a more efficient business result for customers.
The agreement signed with Datadog recognizes PUE as Managed Services Provider to be able to implement the platform and manage it directly in customer environments. Datadog becomes the perfect complement to offer cloud monitoring services in the Big Data Fullstack developments and implementations that PUE carries out for the transformation and modernization of businesses. These excellence-based services result in a high number of highly satisfied customers, as well as growth for both PUE and DataDog.
Visit www.pue.es/ser... and learn more about the partnership between DataDog and PUE, how Managed Services Provider and how the analysis of data from cloud applications is essential for all companies.
Find out more information on PUE's social networks:
Facebook: / ticpue
Twitter: / ticpue
Linkedin: / tic-pue
#DataDog #PUEinterviews