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Edge Delta Launches Support for Ingesting Kubernetes Metrics

Edge Delta is launching new support for Kubernetes metrics.

By automatically ingesting the most useful Kubernetes metrics, Edge Delta will help metrics-first teams improve the signal-to-noise ratio and reduce costs. Moreover, the release is tightly integrated with Edge Delta's logging capabilities, correlating metrics-based alerts directly to the relevant log data. This seamless experience helps customers quickly move from monitoring to troubleshooting and accelerate post-detection resolution times.

"This release helps observability practices control both the cost and noise of monitoring Kuberenetes-based environments," says Ozan Unlu, CEO of Edge Delta. "Teams shouldn't have to ingest and pay for metrics that go ignored. Moreover, troubleshooting issues shouldn't require you to look for a 'needle in the haystack.' With today's announcement, Edge Delta is helping teams realize more value and efficiency from observability."

With this release, Edge Delta leverages its architecture to distill metrics libraries into the ones that organizations access most frequently or might want an alert on, drastically reducing the number of metrics ingested.

Edge Delta also combines views of logs and metrics for faster resolution. Teams can easily drill into the relevant log data to quickly identify the root cause of issues.

Edge Delta aims to help teams get up and running quickly and build a launchpad for complete out-of-the-box observability. "Within five minutes of deployment, teams will be able to see all their logs and metrics," explains Unlu. When you use Edge Delta, metrics are then presented in the Edge Delta interface via out-of-the-box dashboards to accelerate time to value. With direct access to all of the metrics ingested, Edge Delta also gives the flexibility to build custom and unique views via embedded dashboards.

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Edge Delta Launches Support for Ingesting Kubernetes Metrics

Edge Delta is launching new support for Kubernetes metrics.

By automatically ingesting the most useful Kubernetes metrics, Edge Delta will help metrics-first teams improve the signal-to-noise ratio and reduce costs. Moreover, the release is tightly integrated with Edge Delta's logging capabilities, correlating metrics-based alerts directly to the relevant log data. This seamless experience helps customers quickly move from monitoring to troubleshooting and accelerate post-detection resolution times.

"This release helps observability practices control both the cost and noise of monitoring Kuberenetes-based environments," says Ozan Unlu, CEO of Edge Delta. "Teams shouldn't have to ingest and pay for metrics that go ignored. Moreover, troubleshooting issues shouldn't require you to look for a 'needle in the haystack.' With today's announcement, Edge Delta is helping teams realize more value and efficiency from observability."

With this release, Edge Delta leverages its architecture to distill metrics libraries into the ones that organizations access most frequently or might want an alert on, drastically reducing the number of metrics ingested.

Edge Delta also combines views of logs and metrics for faster resolution. Teams can easily drill into the relevant log data to quickly identify the root cause of issues.

Edge Delta aims to help teams get up and running quickly and build a launchpad for complete out-of-the-box observability. "Within five minutes of deployment, teams will be able to see all their logs and metrics," explains Unlu. When you use Edge Delta, metrics are then presented in the Edge Delta interface via out-of-the-box dashboards to accelerate time to value. With direct access to all of the metrics ingested, Edge Delta also gives the flexibility to build custom and unique views via embedded dashboards.

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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 ...

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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