Network-Based Visibility that Aligns Enterprise IT Directly to the Business
Business transactions, decoded from the wire, give the granular customer experience data that ties digital service delivery to the applications and infrastructure that underpin it. It provides insight to align IT to business priorities, whether they’re strategic, like investments in capacity to support an expanding service; or tactical, ensuring operations teams are focused on the most revenue impacting problems first. In fast-changing environments, network-based transactions, and the application and business data they contain, give a reliable and definitive data source on how well enterprise IT is delivering against its business objectives.
46% of organizations in DEJ's research reported that extracting network data for business use is one of their key goals for network performance monitoring. The research also shows that 41% of organizations are looking to use ITOA solutions outside of IT. Making IT more strategic and deploying solutions that benefit multiple job roles and departments are some of the key goals of digital businesses and ITOA technologies such as Corvil, are well positioned to address these objectives.
Bojan Simic, Founder and Chief Analyst, Digital Enterprise Journal
Coping with continuous change is a fact of life in Enterprise IT. The move to DevOps has enabled businesses to respond to competitive pressures and innovate faster. But with more frequent rollouts, the risk of severe service disruption in the enterprise has never been so high. Increasingly complex and dynamic environments, with siloed tools and teams, mean that service quality problems persist and consume valuable resources to resolve. Business stakeholders have conflicting demands for more change, more stability, and more visibility.
A big part of the problem is that services are now granular, interwoven and distributed, while traditional management tools are siloed and distinct, monitoring components individually and saying little about overall service delivery.
Business owners and IT operations teams need an alternative monitoring approach that provides an integrated service-oriented view of customer experience. A data source that gives visibility of service execution across all the infrastructure, and commercial metrics that can drive business execution.
Corvil Streaming Machine-Time Analytics provides a non-intrusive approach that delivers rapid and deep insight into the availability and performance of modern distributed applications and they how they impact the customer experience. By rapidly understanding the effect of application changes on the supporting IT infrastructures, you can reduce the risk of failures and outages that is the downside of DevOps.
Corvil deploys straight into production, plugging into the network and decoding application and business data. The enterprise-wide customer experience data it delivers allows every single business transaction to be tracked through front office applications, core business applications, shared enterprise infrastructure and the network.
Business data can also be decoded, such as service, product & price data, allowing operations teams to prioritize their processes around revenue impact, while presenting granular business intelligence and analytics to the business owners.
"Exploit wire data as a source of information and springboard for analysis of the entire IT infrastructure and application portfolio."
Monitor application transactions with business intelligence.
Monitor middleware transactions including ultra low latency buses.
In depth instrumentation without adding load.
Non-intrusive monitoring of DNS, LDAP, DHCP and more.
Monitor the impact on services via loss, latency and resends and more.
Monitor high volume back office application transactions.
Managed back office IT, such as Critrix virtualized services.
VoIP signalling, quality scores, user traces, sequence diagrams.
Assure service quality during cloud migration of services.
Monitor latency, loss and retransmissions and more.
Detailed threat detection & forensics of all activity within the firewall.
Capture and store raw packets for detailed forensics.