Too many organisations suffer cloud innovation roadblocks and are left wrestling with a wide range of challenges triggered by the complexities of digitisation.
Recent Foundry research reveals that 48% of firms experience cost challenges that stall cloud adoption, while a further 34% suffer integration/migration challenges.
Other issues include infrastructure blind spots, unforeseen problems, dashboard sprawl, an inability to automate and unpleasant billing surprises.1
Advanced solutions that leverage AI, however, can now cut through cloud complexity and address these issues.
Three types of AI (causal, predictive and generative), working together within a unified solution, can generate a highly accurate, real-time, data-driven picture of an entire cloud ecosystem. Such solutions can also be quickly and easily interrogated using genAI.
The power of AI automation
Cutting-edge observability platforms not only identify and offer immediate contextual root-cause analysis of cloud challenges, they can also automatically mitigate issues.
AWS partner Dynatrace, for example, uses automated end-to-end data collection from a single agent to automatically collect metrics, traces and logs from the over 100 AWS services including Amazon CloudWatch.
These metrics automatically enrich observability data, saving time so digital teams can innovate.
Once it collects AWS data, Dynatrace leverages its Davis AI engine, which uses causal and predictive AI for automatic root-cause analysis and remediation support, and generative AI for ideation, research, and creation.
This three-tiered AI approach delivers workflow automation, issue remediation, and cloud resources optimisation for saving costs and delivering highly reliable services.
“Market-leading platforms provide comprehensive observability both horizontally and vertically across the full-stack, including services, containers, pods and namespaces,” says Jon Griffiths, Field CTO EMEA at Dynatrace.
“This granularity enables users to see exactly which cloud components are involved in each event as it occurs, and then triggers automated remediation.”
How big brands are cutting cloud complexity
Dynatrace recently solved an IT issue that had undermined the profitability of a major UK restaurant, pub and bar operator.
For several years, the hospitality firm’s systems had been fulfilling a significant number of orders even though the customer payments were rejected. The company was aware of the software problem but had been unable to locate and solve the issue.
Using Dynatrace, the firm was able to gain real-time observability of its cloud infrastructure, identify what was happening, and determine what was needed to resolve the issue.
BT Group has also used Dynatrace to successfully replace and modernise 16 of its cloud-monitoring tools. It now has superior cloud visibility, can conduct root-cause analysis 90% faster and has reduced digital incidents by 50% year-on-year.
Dynatrace has been named a leader in the Gartner Magic Quadrant for Observability Platforms 14 consecutive times. In 2024, Dynatrace achieved the highest and furthest positions in both ‘Ability to Execute’ and ‘Completeness of Vision’.2
Moreover, the company has also been named AWS EMEA Technology Partner of the Year.
Automating the DevOps pipeline
End-to-end observability and AI are also enabling organisations to automate their DevOps pipelines, allowing them to instead focus on user experience and user-centric innovation.
Predictive AI can detect trends of diminishing performance before they impact user experiences. Causational AI provides the root cause and contextual insights needed for remediation and automation. Using data vetted by predictive and causal AI, teams can use generative AI to interrogate findings with conversational language prompts to optimise cloud utilisation and operational efficiency.
Dynatrace uses this three-tiered AI approach to create a ‘quality gate’ for the DevOps pipeline, automatically identifying and isolating critical vulnerabilities and performance issues.
This method enables bad code to be failed and fixed faster, accelerating the DevOps pipeline.
Delivering more reliable and efficient cloud services
Cloud infrastructure and application observability are powerful capabilities, but when achieved through a single platform that uses multiple AI modalities, they are particularly potent.
This holistic approach delivers a faster and higher-value return on investment, giving organisations the confidence to grow and innovate at greater speed and scale.
Discover how Dynatrace can support your cloud journey – from migrate to modernise.
1Foundry: Cloud Computing Study 2024 https://foundryco.com/research/cloud-computing/
2Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Mrudula Bangera, Matt Crossley, Padraig Byrne, 12 August, 2024
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.