Dynatrace AppEngine Launched for BizDevSecOps Use Cases

Dynatrace

Dynatrace (NYSE: DT), a provider of software intelligence, has launched its AppEngine. For their IT, development, security, and business teams, users may construct unique, legal, and intelligent data-driven applications using a “simple, low-code approach” thanks to the new Dynatrace platform technology. These unique applications can handle an infinite number of BizDevSecOps use cases and provide access to the richness of information hidden in the massive volumes of data produced by contemporary cloud ecosystems.

With complete context and dependency mapping, the Dynatrace platform would combine observability, security, and business data in a unique way. Through the technology platform, users are liberated from manual methods like tagging to link siloed data, employing inaccurate machine-learning analytics, and the high operating expenses of competing solutions. By using this data, AppEngine would make it easier for teams throughout an organization to create intelligent apps and integrate them. In addition, it offers comprehensive lifecycle support, including security and quality certifications, automated scaling, runtime application security, secured connections and integrations across hybrid and multicloud ecosystems, and automatic scalability.

Bernd Greifeneder, founder and CTO of Dynatrace
“With the help of Dynatrace’s causal AI and the AppEngine, it is now simple to build applications that make use of huge amounts of observability, security, and business data from contemporary clouds,” said Bernd Greifeneder, founder and CTO of Dynatrace.

As a consequence, each team inside an organization may employ causal AI to build intelligent applications and integrations for use cases and technologies that are particular to their particular business needs and technological stacks. Within 90 days of this announcement, the Dynatrace AppEngine will be accessible.

“The Dynatrace platform has always helped IT, development, business, and security teams thrive by providing accurate answers and intelligent automation across their complex and dynamic cloud ecosystems,” said Bernd Greifeneder, founder and chief technology officer of Dynatrace. “With the help of Dynatrace’s causal AI and the AppEngine, it is now simple to build applications that make use of huge amounts of observability, security, and business data from contemporary clouds. As a result, many BizDevSecOps use cases may now benefit from precise solutions and intelligent automation, enabling more individuals within and outside of businesses to make data-driven choices.”

Kubernetes, Cloud-Native Services

Dynatrace also revealed a number of new applications to show off the “versatility and power” of the Dynatrace AppEngine and its implementation in various use cases. Customers of Dynatrace will get access to the following new applications:

  • Smartscape Health View allows teams to see the health and security status of their apps. It also demonstrates how AppEngine can use analytics, visualization, and data enrichment to extract useful insights from data.
  • Site Security Guardian automates quality and security gates to assist teams in proactively maintaining service level goals (SLOs). It also shows how AppEngine-powered applications enable answer-driven automation to enhance cloud operations.

Teams can learn about and lessen the carbon impact of their hybrid and multicloud environments thanks to ‘Carbon Impact.’ It would also show how AppEngine can assist teams in monitoring and improving the key performance indicators (KPIs) that are most important to corporate leaders or legal requirements.

“We are utilizing Dynatrace AppEngine to develop secure and compliant applications that answer the unique demands of our clients while accessing vast data from their clouds,” said Luca Forni, CEO of Akamas, a Dynatrace partner. “With the help of AppEngine, we are developing an app that will provide the Dynatrace platform access to Akamas’ continuous optimization capabilities. This will automate the process of setting resources to meet preset optimization targets and provide Dynatrace users exact performance insights on Kubernetes applications. Customers may boost their cloud-native services’ reliability and performance as a consequence, and they can optimize cloud resources to save expenses.”