Deloitte announced the expansion of its cloud observability practice, encompassing DevOps principles, AI/ML, cloud complexity management and software engineering.
The practice will leverage the Dynatrace Software Intelligence Platform's extensive observability and advanced AIOps capabilities and is charged with developing targeted solutions for clients, with the goal of accelerating digital transformation for the world's largest organizations.
"Deloitte has cultivated a deep domain knowledge and invested in modern software engineering to enable our clients to accelerate digital transformation with leading cloud observability, AI and automation capabilities. These new observability solutions, powered by the Dynatrace Software Intelligence Platform, will help our clients deliver experiences that will define our world in the years to come," said Ranjit Bawa, principal and U.S. cloud leader, Deloitte Consulting LLP.
Rick McConnell, CEO at Dynatrace, said: "Dynatrace delivers precise answers and intelligent automation from the enormous amount of data generated by hybrid and multicloud environments. Deloitte brings expansive industry and domain knowledge, as well as modern delivery frameworks. I look forward to expanding our relationship and driving faster, more successful digital transformations at scale."
Deloitte's team of dedicated DevOps and site reliability engineers are being trained and certified to incorporate the Dynatrace platform into its Innovation Centers and DevOps Cloud Platform. Deloitte will also continue to use Dynatrace for its own internal IT operations, covering the organization's wide range of technologies and processes.
"Deloitte has been successfully using Dynatrace software to enable observability, control and automated insights across cloud providers and technologies in a single platform throughout our complex environment," said Doug Beaudoin, Deloitte US CIO. "We are excited to bring this offering to our clients and extend the same benefits to them."
The Latest
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 ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
