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Instana Adds Capabilities to Discover, Analyze and Monitor AWS

Instana announced the ability for its Artificial Intelligence (AI)-driven application performance management (APM) solution to discover, analyze and monitor Amazon Web Services (AWS).

By applying AI-powered analysis, Instana provides customers with comprehensive visibility and performance management across their hybrid application environment, including legacy, containerized and cloud-native services from a single monitoring solution.

Instana’s extended visibility into hybrid application environments includes CloudWatch data, providing contextual intelligence and performance management beyond the isolated CloudWatch dashboard. This improved capability encompasses traditional and modern dynamic applications providing a full stack view as one contiguous environment with the ability to drill down and investigate details in any of the underlying services and infrastructure.

As Instana extends its understanding into the AWS products, it provides:

- Automatic discovery and incorporation of metrics through CloudWatch of the many AWS products.

- End to end visibility and tracing of service requests extending into AWS products.

- The application of neural networks to predict and avoid service impact.

- Automatic root cause analysis of service degradation, correlating AWS events into Instana Incident Analysis.

- Automatic ingestion of AWS tags for investigating AWS product performance and optimization opportunities across services and availability zones.

“As organizations shift toward the cloud, they will not abandon their traditional data center and applications immediately. They will build new, more dynamic application architectures using hybrid application environments and leveraging new cloud services. It will be quite challenging to manage the performance and availability across these architectures,” said Bojan Simic, Founder and Chief Analyst at Digital Enterprise Journal. “Instana’s AI-powered APM visualizes the application’s structure across hybrid application environments, old and new, providing the intelligent analysis and performance monitoring required by modern operations teams.”

Continuing to innovate to customers’ needs, Instana is developing capabilities to monitor and understand AWS Lambda, serverless computing functions which allows users to run code without provisioning or managing servers. Leveraging their extensible dependency data model, Instana will invest to enable AI-driven analysis and performance management of Lambda function quality and its impact on overall business processing.

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Instana Adds Capabilities to Discover, Analyze and Monitor AWS

Instana announced the ability for its Artificial Intelligence (AI)-driven application performance management (APM) solution to discover, analyze and monitor Amazon Web Services (AWS).

By applying AI-powered analysis, Instana provides customers with comprehensive visibility and performance management across their hybrid application environment, including legacy, containerized and cloud-native services from a single monitoring solution.

Instana’s extended visibility into hybrid application environments includes CloudWatch data, providing contextual intelligence and performance management beyond the isolated CloudWatch dashboard. This improved capability encompasses traditional and modern dynamic applications providing a full stack view as one contiguous environment with the ability to drill down and investigate details in any of the underlying services and infrastructure.

As Instana extends its understanding into the AWS products, it provides:

- Automatic discovery and incorporation of metrics through CloudWatch of the many AWS products.

- End to end visibility and tracing of service requests extending into AWS products.

- The application of neural networks to predict and avoid service impact.

- Automatic root cause analysis of service degradation, correlating AWS events into Instana Incident Analysis.

- Automatic ingestion of AWS tags for investigating AWS product performance and optimization opportunities across services and availability zones.

“As organizations shift toward the cloud, they will not abandon their traditional data center and applications immediately. They will build new, more dynamic application architectures using hybrid application environments and leveraging new cloud services. It will be quite challenging to manage the performance and availability across these architectures,” said Bojan Simic, Founder and Chief Analyst at Digital Enterprise Journal. “Instana’s AI-powered APM visualizes the application’s structure across hybrid application environments, old and new, providing the intelligent analysis and performance monitoring required by modern operations teams.”

Continuing to innovate to customers’ needs, Instana is developing capabilities to monitor and understand AWS Lambda, serverless computing functions which allows users to run code without provisioning or managing servers. Leveraging their extensible dependency data model, Instana will invest to enable AI-driven analysis and performance management of Lambda function quality and its impact on overall business processing.

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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 ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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