Moogsoft Inc. said today it’s expanding into artificial intelligence-based observability with the launch of its new Moogsoft Observability Cloud.

The new offering enables DevOps teams, those in which software developers and information technology staff work together to create applications faster, and site reliability engineers to surface actionable insights from across their digital infrastructure, together with advanced event management capabilities, the company said.

Moogsoft is already a strong player in IT observability, which involves monitoring apps by pulling data from logs, metrics, traces and events so that operators can identify the root cause of any issues that crop up and resolve them quickly. Its flagship Moogsoft AIOps platform uses machine learning to fix operational problems with IT infrastructure, freeing administrators from doing many of those chores manually.

Moogsoft Observability Cloud extends the company’s AI-based intelligence to raw observability data. It takes metrics and event data from sources such as Amazon Web Services EC2, Docker, MongoDB and Redis, and transforms it all into actionable insights by automating anomaly detection, surfacing the most important alerts and correlating everything together.

That gives DevOps teams and SREs more visibility into the services they’re running on their cloud infrastructure, advanced warnings of possible outages and better context about the incidents that cause them. Knowing all of this, DevOps teams and SREs can take action to prevent outages and improve and innovate on their services.

With today’s launch, Moogsoft is getting into an emerging observability market that’s being targeted by both ambitious and well-funded startups such as Observe Inc., which recently raised $35 million in funding, and more established players such as Splunk Inc. Observability is fast becoming a crowded space, but Moogsoft reckons its platform has the advantage of being able to reduce much of the noise generated by rival tools.

“In today’s market, numerous monitoring tools exist in every category, but with no one software provider able to deliver true monitoring coverage for every application and infrastructure component,” said Osama Awwad, chief technology officer at Optimiz, a company that uses the Moogsoft Observability Cloud to deliver application performance and infrastructure monitoring services for enterprises. “Our use of the Moogsoft Observability Cloud at Optimiz supports a key use case in our intelligent monitoring solution to correlate events and metrics from multiple monitoring tools, which helps our clients understand business impact, reach root cause faster, and reduce the number of tickets.”

Constellation Research Inc. analyst Holger Mueller told SiliconANGLE that observability is the new buzzword in DevOps, and is essentially all about using software to monitor software and machines. He said the trend is a key step for the industry because the demand for modern applications and the complexity of their operating environments are beyond what humans are capable of dealing with manually,

“DevOps needs to scale with software but observability alone is not enough, as vendors must also close the ‘insight to action’ loop, and that has eluded application vendors for decades,” Mueller said. “What is encouraging about the Moogsoft platform is that it brings together observability with self service for DevOps. Ideally that will enable some form of self driving/automomous DevOps, which is a key step on the journey towards Automated Software Operations”.

The company said Moogsoft Observability Cloud is available now as a free trial. Pricing will be based on data ingestion rates.

Images: Moogsoft