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OpsCruise Integrates with AWS

OpsCruise announced a new serverless observability extension that provides real-time visibility and control to popular AWS Serverless functions.

As part of its serverless observability offering, OpsCruise monitors multiple cloud components in the AWS cloud, such as Lambda functions, API Gateways, SQS queues, ECS containers, Kinesis streams, and DynamoDB tables. This will enable DevOps, platform engineers and cloud architects team to have more visibility to detect problems across application components, Kubernetes and the supporting infrastructure before users are impacted.

“Traditional monitoring solutions rely on collecting metrics and custom distributed tracing to track service requests to and from the serverless components. Unfortunately, the burden of detecting and understanding problems is left as a DIY offline exercise for the engineers,” said Scott Fulton, Co-Founder and CEO of OpsCruise. “In contrast, OpsCruise enhances the visualization of the dynamic topology and state of applications, and also extends its automated and predictive ML and AI capabilities to serverless components as well.”

Beyond simply monitoring errors or throttles, OpsCruise has adapted its behavior based modeling to predictively detect problems in the serverless component in real-time. These predictive models can also be used for fault isolation and causal analysis by understanding if the serverless component is misconfigured to handle the volume of requests, for example from an API Gateway or a Kinesis trigger, or if the downstream DynamoDB data store is underprovisioned.

As part of its serverless observability offering, OpsCruise monitors multiple cloud components in the AWS cloud, such as Lambda functions, API Gateways, SQS queues, ECS containers, Kinesis streams, and DynamoDB tables.

OpsCruise is available through the AWS Marketplace as part of your standard AWS billing as well as through a Free Forever plan where customers can start immediately - no credit card or contract commitment necessary.

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OpsCruise Integrates with AWS

OpsCruise announced a new serverless observability extension that provides real-time visibility and control to popular AWS Serverless functions.

As part of its serverless observability offering, OpsCruise monitors multiple cloud components in the AWS cloud, such as Lambda functions, API Gateways, SQS queues, ECS containers, Kinesis streams, and DynamoDB tables. This will enable DevOps, platform engineers and cloud architects team to have more visibility to detect problems across application components, Kubernetes and the supporting infrastructure before users are impacted.

“Traditional monitoring solutions rely on collecting metrics and custom distributed tracing to track service requests to and from the serverless components. Unfortunately, the burden of detecting and understanding problems is left as a DIY offline exercise for the engineers,” said Scott Fulton, Co-Founder and CEO of OpsCruise. “In contrast, OpsCruise enhances the visualization of the dynamic topology and state of applications, and also extends its automated and predictive ML and AI capabilities to serverless components as well.”

Beyond simply monitoring errors or throttles, OpsCruise has adapted its behavior based modeling to predictively detect problems in the serverless component in real-time. These predictive models can also be used for fault isolation and causal analysis by understanding if the serverless component is misconfigured to handle the volume of requests, for example from an API Gateway or a Kinesis trigger, or if the downstream DynamoDB data store is underprovisioned.

As part of its serverless observability offering, OpsCruise monitors multiple cloud components in the AWS cloud, such as Lambda functions, API Gateways, SQS queues, ECS containers, Kinesis streams, and DynamoDB tables.

OpsCruise is available through the AWS Marketplace as part of your standard AWS billing as well as through a Free Forever plan where customers can start immediately - no credit card or contract commitment necessary.

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Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

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Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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