Arrcus, a hyperscale networking software company and specialist in core-to-edge infrastructure, has announced that CoreSite deployed its Multi-Cloud Networking (MCN) solution to help enable CoreSite’s Open Cloud Exchange (OCX).
The Open Cloud Exchange is an enterprise network services solution that enables customers to deploy high-performance hybrid architectures in a quick, secure, and economical way. CoreSite is leveraging the ACE MCN solution to extend its software-defined networking platform through automating additional provisioning functionality within AWS and Microsoft Azure Cloud and direct cloud-to-cloud communication capabilities on CoreSite’s fully managed virtual routers.
Arrcus’ ACE MCN solution in CoreSite’s OCX went live in May 2022 in eight markets: Los Angeles, San Francisco Bay, Denver, Chicago, New York, Boston, Miami and Virginia. Since then, CoreSite has expanded availability to its two new data center markets – Atlanta and Orlando – and are executing against a roadmap to add additional leading cloud service and SaaS providers to the OCX, in addition to AWS and Microsoft® Azure Cloud.
CoreSite’s Open Cloud Exchange, supported by ACE MCN, enables enterprises to:
• Rapidly scale and deploy new applications across multiple US markets using inter-market connectivity
• Improve network performance and security with guaranteed private network isolation, throughput and lower latency compared to public internet connections
• Increase speed to market and gain greater control and optionality
• Recoup expensive cloud egress fees and redirect funds and internal resources to other business priorities
Shekar Ayyar, CEO and chairman at Arrcus, said: “Arrcus is delighted to have been selected by CoreSite for their OCX platform. Enterprises are looking for a seamless and secure hybrid cloud connectivity solution with the flexibility to rapidly scale up or down.
“The ACE MCN solution differentiated by our unique strength in routing is providing the OCX with secure hyper-scale performance, quicker time to market, and improved economics, giving their customers a competitive edge.”
The Arrcus ACE MCN solution enables highly available connectivity for workloads and data with hyperscale performance and security across any cloud, any region, and any site. Solution consists of ArcEdge – secure data plane software that leverages unique virtual routing capabilities with ArcOS and ArcOrchestrator for cloud-native orchestration that dramatically automates and shortens multi-cloud networking setup time from days to hours.
The programmability and flexibility of the Arrcus solution enable CoreSite to provision virtual routing services for customers in a matter of minutes, dramatically increasing agility and efficiency. Rapid and secure cloud connectivity is critical for businesses to succeed in today’s digital economy. The Arrcus solution enables CoreSite to provide integrated security and orchestration to gain greater control and increased speed to market. This results in their customers’ ability to recoup expensive cloud egress fees and redirect funds and internal resources to other business priorities.
Brian Warren, senior VP, development and product engineering at CoreSite, said: “We leverage Arrcus’ virtual routers in the CoreSite OCX to help enable our customers to quickly expand market reach and gain a competitive edge while lowering TCO.
“With just a few clicks in MyCoreSite, our service delivery platform, customers can quickly establish direct and secure virtual connections to multiple service providers and to the public cloud for rapid, automated provisioning.”
How Businesses Can Automate Root Cause Analysis (RCA) With Machine Learning
In the event of a severe incident for your business, you need to analyze what exactly changed (the root cause) to understand its impact.
Using machine learning for root cause analysis can help identify the event that caused the change quickly and easily.
Things can sometimes go wrong in your business’s daily operations. It can be a minor issue, such as a system outage lasting for a couple of minutes. Or it can be something severe as a cyberattack.
Generally, such events result from a chain of actions that eventually culminate in the event. Identifying the root cause is the best way to solve the issue. But manual root cause analysis takes time and often doesn’t provide the exact cause of a mishap. Using machine learning for root cause analysis can automate the process, helping identify the underlying cause quickly and with higher accuracy.
Power of Machine Learning for Root Cause Analysis
To understand why an issue occurred, you need to identify the root cause. But root cause analysis can often be complex and provide inaccurate results. Using machine learning for root cause analysis helps solve this issue.
Using machine learning for root cause analysis can help zero in on the exact location of the problem. You don’t have to scroll through infinite logs to identify which components were impacted and when. The machine learning program can automatically and quickly find the root cause by analyzing a given log data set.
Moreover, the machine learning program can even predict future incidents as more and more data is available. The program compares real-time data with historical data to predict future outcomes and warns you of any unwanted incident beforehand. This will help improve your incident response, reduce downtime and improve productivity.
Benefits of Using Machine Learning for Root Cause Analysis
There are many benefits of using machine learning for root cause analysis. It can help teams take the right action at the right time, minimizing your losses. Some of the benefits are discussed below.
The cost of solving the issue is reduced as your teams don’t have to guess and work around blind spots. Machine learning tools locate the exact line of code responsible for a performance issue, and your team can start working on fixing it right away.
The time spent fixing the issue is significantly reduced as it helps solve business pain faster by locating the cause quickly and accurately.
Provides Long-Lasting Solutions
Machine learning tools provide a permanent solution for your problems and foster a productive and proactive approach.
Grows Your Business
Using machine learning for root cause analysis helps improve the efficiency and productivity of your organization, which eventually leads to business growth.
No system is perfect. Incidents will happen, no matter what. But what you do afterward is in your control. Root cause analysis should be done as soon as possible. Using machine learning for root cause analysis not only improves your incident response, but over time, it can also help prevent incidents from happening in the first place.
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