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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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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...