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CopperEgg Adds Enterprise Performance Management for Amazon Web Services

CopperEgg's monitoring solution for servers, websites, applications and end users is now available for Amazon Web Services (AWS) Amazon CloudWatch.

The new solution helps IT professionals collect and track metrics, gain insight and react immediately to keep their applications and businesses running smoothly. A beta version of the product is now available to existing customers and trial users.

Today, IT professionals spend a lot of time manually correlating performance metrics in and between infrastructures. Having access to AWS-specific performance metrics in the same user interface as your servers, websites and applications makes it easier to correlate multiple data points over time, without losing the context of the problem. This is especially helpful during root-cause analysis.

With nothing to install, CopperEgg can be up and running in minutes, monitoring AWS services including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Relational Database Service (Amazon RDS), Amazon Elasticache, Amazon DynamoDB and Amazon Elastic Block Store (EBS). Users simply add their AWS credentials to the CopperEgg console and the solution pulls in AWS performance and cost data, side-by-side with CopperEgg’s deep monitoring capabilities, to help:

• Pinpoint Application Issues – Integrated dashboards provide end-to-end application infrastructure monitoring and deep visibility to quickly diagnose any situation and help prevent outages.

• Optimize AWS Cost and Performance – Built-in cloud sizing analytics provide recommendations on how to optimize spend and performance. Deep application performance analytics, combined with a one-year history of billing and health data, allow for quick and easy trend detection in your AWS environments.

• Manage Architectural Sprawl, Complexity and Blind Spots – Automatic discovery, mapping and monitoring helps eliminate blind spots and surprises by knowing at any given moment what your entire cloud or hybrid infrastructure looks like.

• Connect Uncorrelated Metrics – Unified views help you instantly correlate service data between hybrid or pure cloud deployments.

• Increase Transparency – Tag-based views, notifications, billing and more give everyone across the enterprise transparency while maintaining control.

“With CopperEgg, organizations immediately know the availability and health of their applications and are alerted to potential failures, long before customers experience a slow down,” said Chad Bockius, CEO of CopperEgg. “This latest service for Amazon Web Services gives IT professionals a unique, enterprise-wide perspective to monitor, troubleshoot and optimize their applications in the cloud before they become problems on the balance sheet.”

CopperEgg is an Advanced Technology Partner in the Amazon Web Services Partner Network (APN) and AWS Marketplace vendor.

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CopperEgg Adds Enterprise Performance Management for Amazon Web Services

CopperEgg's monitoring solution for servers, websites, applications and end users is now available for Amazon Web Services (AWS) Amazon CloudWatch.

The new solution helps IT professionals collect and track metrics, gain insight and react immediately to keep their applications and businesses running smoothly. A beta version of the product is now available to existing customers and trial users.

Today, IT professionals spend a lot of time manually correlating performance metrics in and between infrastructures. Having access to AWS-specific performance metrics in the same user interface as your servers, websites and applications makes it easier to correlate multiple data points over time, without losing the context of the problem. This is especially helpful during root-cause analysis.

With nothing to install, CopperEgg can be up and running in minutes, monitoring AWS services including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Relational Database Service (Amazon RDS), Amazon Elasticache, Amazon DynamoDB and Amazon Elastic Block Store (EBS). Users simply add their AWS credentials to the CopperEgg console and the solution pulls in AWS performance and cost data, side-by-side with CopperEgg’s deep monitoring capabilities, to help:

• Pinpoint Application Issues – Integrated dashboards provide end-to-end application infrastructure monitoring and deep visibility to quickly diagnose any situation and help prevent outages.

• Optimize AWS Cost and Performance – Built-in cloud sizing analytics provide recommendations on how to optimize spend and performance. Deep application performance analytics, combined with a one-year history of billing and health data, allow for quick and easy trend detection in your AWS environments.

• Manage Architectural Sprawl, Complexity and Blind Spots – Automatic discovery, mapping and monitoring helps eliminate blind spots and surprises by knowing at any given moment what your entire cloud or hybrid infrastructure looks like.

• Connect Uncorrelated Metrics – Unified views help you instantly correlate service data between hybrid or pure cloud deployments.

• Increase Transparency – Tag-based views, notifications, billing and more give everyone across the enterprise transparency while maintaining control.

“With CopperEgg, organizations immediately know the availability and health of their applications and are alerted to potential failures, long before customers experience a slow down,” said Chad Bockius, CEO of CopperEgg. “This latest service for Amazon Web Services gives IT professionals a unique, enterprise-wide perspective to monitor, troubleshoot and optimize their applications in the cloud before they become problems on the balance sheet.”

CopperEgg is an Advanced Technology Partner in the Amazon Web Services Partner Network (APN) and AWS Marketplace vendor.

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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? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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