Vapor IO and
Arrcus announced a new partnership
to package Vapor IO's
Synse software,
embedded tooling for creating real-time network observability data,
with Arrcus' ACE platform on network switches. This creates a new
Observability Data Plane for large-scale networks, improving the
economics, reliability, performance, and environmental sustainability of
the Internet.
Today's
Internet is a "best effort" system cobbled together with networking
equipment and infrastructure from thousands of vendors. With no
agreed-upon standards for deep observability into the infrastructure,
it's impossible to build high-fidelity models of the Internet to make
highly-automated responses to actual or predicted changes in the
conditions of the network, such as through AI and machine learning.
Large,
complex systems in the physical world already benefit from digital twin
technologies to improve their performance, reduce their operating and
repair costs, and increase uptime. Through this partnership, Vapor IO
and Arrcus are enabling a "digitallly-twinnable" Internet that will
transform how networks operate.
"To
create a self-adjusting and self-healing Internet, data must be part of
an observability-to-action feedback loop," said Shekar Ayyar, Chairman
and CEO at Arrcus. "We're thrilled to collaborate with Vapor IO to
package their Synse server with the Arrcus ACE platform on network
switches, enabling developers and operators to build digital twins with
network observability. This unique offering will automate the management
of the network and enable customers to meet business objectives and
improve the customer experience."
By
implementing an Observability Data Plane and building digital twins of
the network, we can expect to see many improvements including:
- Performance: New
classes of as-a-service applications delivered from the Internet,
including computer vision, cloud robotics, Smart City and Smart Retail
services, demand unprecedented levels of observability to deliver the
needed levels of performance from the Internet.
- Reliability: SLA-backed
services require real-time insight into network conditions to maintain
promised service levels. These services also need the ability to build
predictive models of performance so that SLA challenges can be mitigated
in advance.
- Automation: Deploying
and maintaining complex network systems requires continuous automation
with high-degrees of precision. High-fidelity observability provides the
data necessary to build autonomic systems.
- Environmental Sustainability: Energy
conservation systems, including carbon-aware schedulers and network
traffic management systems, require high-degrees of observability to
optimize energy-conservation while maintaining performance targets.
- Resource Optimization: Making
the best use of finite resources requires fine-grained observability to
accurately model real-time tradeoffs. For example, an enterprise might
have a complex set of business rules for balancing performance,
reliability, environmental sustainability, and cost, which can only be
applied with the right data in hand.
"Our
industry requires observability or the Internet will never successfully
support real-time systems such as 5G radios and cloud robotics," said
Cole Crawford, CEO and founder of Vapor IO. "We must build digital twins
of our networks, but digital twins require large amounts of
high-fidelity data -and that data has simply not been available until
today. Together with Arrcus, we're creating an industry-disrupting
precedent, collaborating to build an Observability Data Plane for the
Internet we need."