SAN FRANCISCO, CA — (Marketwired) — 11/24/14 — , the leading provider of operational intelligence for the new era of software, today announced that its service now provides deep monitoring of -based containers and -based clouds. With Moogsoft, DevOps teams can deploy containerization to production faster using an agile monitoring solution that immediately detects problems as they unfold and pinpoints their cause by correlating data across all layers of the stack.
Docker container technology is reshaping the server virtualization market, potentially offering a much faster alternative to running full virtual machines over hypervisors. Many of the largest IT vendors are embracing this technology and leading, early-adopter web enterprises like Google, eBay, Spotify, and Yelp are already deploying it in production.
To widely deploy containerization as a key part of DevOps and Software Defined Infrastructures (SDI) requires both Dev and Ops teams to identify and correctly diagnose issues from the cloud infrastructure through orchestration, containers, and applications, including visibility into changes. However, mass adoption of new technologies such as Docker and OpenStack on top of classic virtualization and public cloud services complicates DevOps as instrumentation and diagnosis capability of these platforms is sparse and siloed with existing tools. Many tools that claim support for Docker can only tell DevOps teams about the presence of a container, but do not provide deep visibility into the code within the container, as well as software layers outside.
“Critically, it is impossible today to understand when an operational issue occurs in a containerized app, whether the issue is with the application or elsewhere in the supporting stack from the network through bare metal servers, hypervisors, OS, orchestration, containers, and so on,” said Phil Tee, CEO of Moogsoft. “Moogsoft will instantly provide DevOps teams with the insight of precisely where in the stack the issue lies, and give deep visibility of the status of the containerized applications with full context.”
Through a series of plug-ins, Incident.MOOG–s support for Docker containers and OpenStack clouds includes:
Taking events from all areas in the container stack out of the box, including from the containers themselves, the output logs of the containerized apps, the management software like Shipyard and Ansible, and the monitoring systems like Nagios, Sensu and New Relic
Integrating tightly into the Docker API and Openstack API to instrument the core platforms of containerization
Providing a standard REST-based API to facilitate data integrations into Incident.MOOG (made even easier with a Node.js plug-in)
Automatically finding anomalies as they unfold, then clustering related events according to Docker groups (linked and unlinked), Openstack cell or host UUID, and output from deployment automation platforms, e.g. Ansible, Chef, SaltStack
Communicating over Docker API to dynamically monitor containers as they are turned up and turned down
The Incident.MOOG support for Docker and OpenStack comes as software plug-ins to its REST and Node.js Link Adaptor Modules (LAMs), and is available now.
Moogsoft–s flagship product, , is an IT incident early warning and collaborative remediation system used by web-scale enterprises and service providers within IT Operations Management (ITOM), IT Service Management (ITSM) and DevOps teams. Using patent-pending machine learning technology, Incident.MOOG automates the early detection of service failures, reduces the noise without dependence on preset rules or models, creates contextualized situations and then orchestrates rapid restoral of business services.
Companies like , a leader in applied Big Data for physical retail, have deployed Incident.MOOG to ensure continuous availability and service quality of its Internet of Things-driven data analytics solutions.
Moogsoft has raised a total of $23 million in funding to date and is backed by Wing Venture Capital and Redpoint Ventures, in addition to others. Moogsoft began customer deliveries in February 2012 and was immediately recognized as a “Cool Vendor in Application Performance Monitoring” by Gartner. Since then, the company has established partnerships with leading vendors in the ITSM and DevOps sectors and expanded its presence worldwide, winning customers who are reinventing IT Operations Management for competitive advantage.
is the leading provider of operational intelligence for the new era of software, merging adaptive machine learning and socialized workflows into next-generation IT incident detection and remediation management. Its flagship service, , detects anomalies in real time to reveal service-affecting incidents as they unfold, dramatically reducing Mean-Time-to-Repair (MTTR), and enables knowledge capture and reuse through collaborative “Situation Rooms.” Moogsoft–s founders are the original team behind IBM Tivoli Netcool and RiverSoft. The company is backed by Wing Venture Capital, Redpoint Ventures, Cisco Investments and others. For more information, visit and follow us on Twitter at .
Sarah McDonough
Trainer Communications
(415) 800-5362
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