Datadog has acquired Seekret, an API observability company.
The addition of Seekret’s capabilities will extend Datadog’s unified platform to deliver deeper API observability, governance and automation across the entire API lifecycle.
Seekret’s API platform makes it easy for organizations to quickly and automatically discover and manage APIs across their environments with minimal effort. Datadog plans to incorporate these capabilities into its security and observability offerings and build many more features for developers, operations and security engineers to better manage the health, availability and security of their APIs.
“APIs are the building blocks for modern software and are therefore essential to every Datadog customer,” said Renaud Boutet, SVP of Product at Datadog. “Adding Seekret’s platform will give us an opportunity to build many different capabilities for our customers for API observability, security and collaboration. We are excited to have the Seekret team join us on this journey.”
“APIs have become the cornerstone of digital services and organizations rely heavily on them to make their critical business functions run. As this shift has occurred, however, the ability to have visibility into APIs and to manage complex API operations has remained a struggle for engineering and product teams,” said Idan Gindi, Co-Founder and CEO of Seekret. “Joining Datadog allows us to continue our mission to provide customers the ability to observe and govern all API operations at any given moment and any scale.”
The Latest
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 ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
