Dynatrace updated its platform as it aimed to expand AIOps into preventive operations, add to its security roster and enhance developer workflows.
The launches were outlined at Dynatrace's Perform conference in Las Vegas. Steve Tack, Chief Product Officer, said observability is set up to expand to multiple teams as AI and cloud native workloads converge along with logs and security.
"While cloud modernization is continuous and we're capturing that, it's really everything else that surrounds that, whether it's the different roles that are engaged, spanning across development teams, SREs, platform engineering and more to the types of projects and the end to end, observability and security they're looking to achieve, whether it be for new AI native workloads or more," said Tack. "Given the dynamism of the cloud, the scale, the hyper scale, or workloads, it's really changing the way teams are leveraging observability and the way they're driving it forward."
Here's a look at the announcements from Perform:
Dynatrace expanded its AIOps reach into preventive operations with enhancements to its Davis AI engine. Davis AI will be expanded into operations with the goal to prevent outages and drive returns.
Bernd Greifeneder, Dynatrace CTO and Founder, said Dynatrace with its stack has been able to combine observability, security and business level applications.
Greifeneder said Dynatrace's platform will leverage AI to combine automated root cause analysis, an automation engine and abilities to remediate automatically.
According to Dynatrace, Davis AI will get the ability to provide root cause analysis and automate remediation workflows. Davis AI will also get natural language explanations with context.
Constellation Research analyst Andy Thurai said:
"Natural language processing (NLP) interface has been a gamechanger for AIOps, enabling any incident responder to converse with observability data and try to get to the root cause of the incident, versus waiting for an experienced observability practitioner who fully understands the system to step in. When a large language model (LLM) is trained with ITOps-specific data and enhanced with enterprise-specific observability telemetry, the GenAI immediately understands the telemetry data that is fed into it and leaps into action without needing to wake up someone with the tribal knowledge for help."
- Constellation ShortList™ Observability
- Constellation ShortList™ Digital Performance Management
- Constellation ShortList™ AIOps
Dynatrace launched Continuous Security with Cloud Security Posture Management (CSPM) for enterprises managing multi-cloud and hybrid cloud environments.
The company said Dynatrace CPSM extends existing Kubernetes Security Posture Management (KSPM) capabilities so enterprises can manage security via one dashboard. Dynatrace also enhanced its security investigator with multiple angles of analysis as well as attack vectors.
In the big picture, Dynatrace is aiming to use CPSM to provide continuous compliance and auditing. Greifeneder said Dynatrace will be able to automate about 80% of the compliance tasks.
Dynatrace launched tools to give cloud application development teams more insights.
The company added new dashboards with advanced log, metrics and trace analytics via Davis AI. The new tools will make it easy to optimize apps, monitor health and analyze interactions.
Dynatrace also launched Live Debugger, which extracts debugging information without performance impact. The company also added self-service tools for enterprise developers.
Dynatrace's outlook
The company recently reported its fiscal third quarter results with earnings of $1.19 a share on revenue of $436 million, up 19% from a year ago. Non-GAAP earnings were 37 cents a share.
Dynatrace also upped its outlook for the fourth quarter and projected revenue of $432 million to $437 million, up 13% to 15% with non-GAAP earnings of 29 cents a share to 31 cents a share.
CEO Rick McConnell said on an earnings conference call that the company is expanding the use cases for observability.
"Our conviction in the observability market continues to strengthen," said McConnell, who added that cloud adoption and AI are making observability a must have. The problem is that there are dozens of observability tools and enterprises face sprawl.
"We believe that an AI-powered observability platform with sophisticated analytic and automation capabilities is vital in providing the visibility needed for software to work perfectly," said McConnell.
