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Sensu Launches New Multi-Tenant Cloud Monitoring Solution for MSPs

Sensu launched its latest cloud and infrastructure monitoring solution for managed service providers (MSPs), offering MSPs a new way to monitor dynamic workloads and various infrastructures for their multiple customers.

It is estimated that by 2020, more than 50 percent of companies will have transitioned to container technology as compared to less than 20 percent in 2017. Sensu can handle ephemeral container and virtual cloud workloads, keeping up with constantly changing infrastructure.

“Traditional monitoring solutions for MSPs are often unable to keep up with businesses’ IT requirements,” said Caleb Hailey, CEO and co-founder, Sensu. “MSPs need tools that can meet the heterogeneous cloud and legacy monitoring demands of their various customers as they migrate to container and microservices-based infrastructure. Sensu’s multi-cloud monitoring solution offers MSPs the flexibility they need to support their customers across their various (and often multi-generational) infrastructures.”

Using Sensu’s subscription-based technology, the latest cloud monitoring solution now offers MSPs a multi-tenant solution for dynamic container and kubernetes workloads. Sensu’s solution also offers:

- Multi-tenancy built on Kubernetes-style namespaces, popular with IT environments using containers and DevOps

- Customizable templating that allows the MSPs to build consistent, repeatable, and automated workflows for their customers

- Ability to specify different policies for each customer centrally and send alerts directly to the customer’s preferred communications platform to take action

- Flexibility and ability for application developers to bake in alerting escalation for use by container orchestration systems

- Communication and interfacing directly with existing professional services automation platforms for timely resolution using Sensu’s open API

- Centralized distribution for monitoring, allowing users to update and push monitoring and osquery type tests to tens of thousands of servers

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Sensu Launches New Multi-Tenant Cloud Monitoring Solution for MSPs

Sensu launched its latest cloud and infrastructure monitoring solution for managed service providers (MSPs), offering MSPs a new way to monitor dynamic workloads and various infrastructures for their multiple customers.

It is estimated that by 2020, more than 50 percent of companies will have transitioned to container technology as compared to less than 20 percent in 2017. Sensu can handle ephemeral container and virtual cloud workloads, keeping up with constantly changing infrastructure.

“Traditional monitoring solutions for MSPs are often unable to keep up with businesses’ IT requirements,” said Caleb Hailey, CEO and co-founder, Sensu. “MSPs need tools that can meet the heterogeneous cloud and legacy monitoring demands of their various customers as they migrate to container and microservices-based infrastructure. Sensu’s multi-cloud monitoring solution offers MSPs the flexibility they need to support their customers across their various (and often multi-generational) infrastructures.”

Using Sensu’s subscription-based technology, the latest cloud monitoring solution now offers MSPs a multi-tenant solution for dynamic container and kubernetes workloads. Sensu’s solution also offers:

- Multi-tenancy built on Kubernetes-style namespaces, popular with IT environments using containers and DevOps

- Customizable templating that allows the MSPs to build consistent, repeatable, and automated workflows for their customers

- Ability to specify different policies for each customer centrally and send alerts directly to the customer’s preferred communications platform to take action

- Flexibility and ability for application developers to bake in alerting escalation for use by container orchestration systems

- Communication and interfacing directly with existing professional services automation platforms for timely resolution using Sensu’s open API

- Centralized distribution for monitoring, allowing users to update and push monitoring and osquery type tests to tens of thousands of servers

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...