Skip to main content

RightScale Adds Korea Distributor

RightScale, a provider of cloud computing management, has formed a partnership with Korean Internet Neutral eXchange (KINX) to be a RightScale authorized distributor in Korea.

This new partnership will bring the RightScale Cloud Management Platform to the growing cloud computing market in Korea with localized support and services.

Korean companies will now have the ability to work with KINX as a reseller to easily deploy and manage their applications on Infrastructure as a Service (IaaS) public clouds, private clouds and hybrid clouds.

KINX customers will be able to leverage RightScale’s fully automated cloud management platform to deploy and manage their business critical applications with complete control and transparency.

RightScale Cloud Management provides KINX customers with the ability to manage their chosen public, private and hybrid clouds through a ‘single pane of glass.’

Customers will also have access to the RightScale MultiCloud Marketplace, which includes pre-built cloud-ready server templates, scripts, and complete architectures published by RightScale, Independent Software Vendors, and Systems Integration partners. All of these pre-built configurations are fully customizable and provide a variety of solutions to get started ranging from social gaming architectures to standard application stacks to database solutions.

Additionally, any company that wishes to deploy in Korea will be able to do so on KINX’s public cloud using RightScale. This should be of particular value to the Korean online gaming and mobile market.

“This partnership is an important part of our Asia Pacific strategy,” said Josh Fraser, Sr VP of Business Development at RightScale. “KINX’s broad reach in Korea will further extend our business, and give our Korean customers a trusted local partner.”

“The cloud’s strength will be based on the smooth deployment and management of our customers’ applications. With this partnership, we believe we will create a path for customers to use the cloud, especially for our active market of developers preparing to launch their new Facebook game or smartphone applications,” said Sun Young Lee, CEO of KINX.

RightScale has been committed to the Asia Pacific market since 2008. KINX joins the growing Asia Pacific RightScale partner ecosystem that already includes IDC Frontier (IDCF), a subsidiary of Yahoo! Japan Corporation, Hitachi Solutions, Ltd., SCSK Corporation, Tata Communications and Amazon Web Services (AWS). RightScale continues to build a strong presence in the Asia Pacific region with local offices in Japan and Singapore.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

RightScale Adds Korea Distributor

RightScale, a provider of cloud computing management, has formed a partnership with Korean Internet Neutral eXchange (KINX) to be a RightScale authorized distributor in Korea.

This new partnership will bring the RightScale Cloud Management Platform to the growing cloud computing market in Korea with localized support and services.

Korean companies will now have the ability to work with KINX as a reseller to easily deploy and manage their applications on Infrastructure as a Service (IaaS) public clouds, private clouds and hybrid clouds.

KINX customers will be able to leverage RightScale’s fully automated cloud management platform to deploy and manage their business critical applications with complete control and transparency.

RightScale Cloud Management provides KINX customers with the ability to manage their chosen public, private and hybrid clouds through a ‘single pane of glass.’

Customers will also have access to the RightScale MultiCloud Marketplace, which includes pre-built cloud-ready server templates, scripts, and complete architectures published by RightScale, Independent Software Vendors, and Systems Integration partners. All of these pre-built configurations are fully customizable and provide a variety of solutions to get started ranging from social gaming architectures to standard application stacks to database solutions.

Additionally, any company that wishes to deploy in Korea will be able to do so on KINX’s public cloud using RightScale. This should be of particular value to the Korean online gaming and mobile market.

“This partnership is an important part of our Asia Pacific strategy,” said Josh Fraser, Sr VP of Business Development at RightScale. “KINX’s broad reach in Korea will further extend our business, and give our Korean customers a trusted local partner.”

“The cloud’s strength will be based on the smooth deployment and management of our customers’ applications. With this partnership, we believe we will create a path for customers to use the cloud, especially for our active market of developers preparing to launch their new Facebook game or smartphone applications,” said Sun Young Lee, CEO of KINX.

RightScale has been committed to the Asia Pacific market since 2008. KINX joins the growing Asia Pacific RightScale partner ecosystem that already includes IDC Frontier (IDCF), a subsidiary of Yahoo! Japan Corporation, Hitachi Solutions, Ltd., SCSK Corporation, Tata Communications and Amazon Web Services (AWS). RightScale continues to build a strong presence in the Asia Pacific region with local offices in Japan and Singapore.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...