Dynatrace announced the addition of a Cloud Automation Module to its Software Intelligence Platform.
This new Module will leverage the automation and intelligence at the core of the Dynatrace Platform to orchestrate the application development lifecycle process, including automating code tests and quality checks against an organization’s service level objectives (SLOs). This orchestration is powered by a fully-supported version of Keptn, an open-source, CNCF project. This addition to the Dynatrace Platform will transform how development, DevOps, and Site Reliability Engineering (SRE) teams develop and manage cloud-native applications, enabling them to deliver innovation faster and with less risk.
Dynatrace Cloud Automation leverages the AI and automation of the Dynatrace Software Intelligence Platform to enhance development, DevOps, and SRE teams’ processes with:
- Automated quality checking of pre-production applications against SLO-based quality gates to ensure error-free code moves through each stage of the delivery pipeline, without manual checks or intervention.
- Automated, closed-loop remediation of releases that fail in production, including roll-back of canary or blue/green deployments, management of feature flags, orchestration of remediation runbooks, triggering incident management workflows, and precise context for developers through AI-powered root-cause analysis.
- Automatic release inventory and version comparison to continuously evaluate the performance of individual release versions, and if an issue is found, automatically restore the most stable version, helping teams deliver the highest quality releases, consistently.
“In dynamic cloud-native architectures, ensuring high-quality, secure, and fast release cycles is incredibly time consuming, with manual processes and siloed visibility across the application lifecycle,” said Steve Tack, SVP of Product Management at Dynatrace. “Dynatrace Cloud Automation seamlessly integrates with an organization’s existing DevOps toolchain and automates mundane tasks to give teams time back for additional innovation. Through this release, we are advancing both our customers’ and the industry’s movement toward highly automated, AI-driven DevOps.”
The Dynatrace Cloud Automation Module will be available within the next 90 days. It will join the Infrastructure Monitoring, Application and Microservices Monitoring, Digital Experience Monitoring, Business Analytics, and Application Security modules as part of the Dynatrace Software Intelligence Platform.
The Latest
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 ...
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 ...
