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Circonus Spring Release Now Available

Circonus announced the latest release of its enterprise monitoring and observability platform with a focus on extending coverage and improving ease-of-use. The Spring Release adds features across all four components of the platform: Ingestion & Alerting, Visualizations and Reporting, IronDB time series database, and the Circonus Analytics Query Language (CAQL). The solution now also includes a conversion facility to migrate Graphite queries to CAQL. “Our Spring Release further extends the enterprise capabilities that our partners such as Major League Baseball, HBO, and Redfin rely on to ensure their internal and customer-facing solutions deliver the best customer experience no matter what,” said Bob Moul, CEO of Circonus. The main features of this release include: - Circonus Unified Agent – The new Circonus Unified Agent creates a single agent that enables customers to collect telemetry data from over 300 different technologies. Circonus now includes support for VSphere, VMWare’s cloud-based virtualization platform. VSphere is the leading virtualization technology for large enterprises. Also, Circonus added observability capabilities for Oracle’s DBMS, extending its support for the grid. - Support for OpenTelemetry (OTel) – Circonus now supports OpenTelemetry, allowing customers to use open telemetry integrations within their platform and submit data natively into the Circonus Broker. Additionally, during the data ingestion, Circonus can adapt OpenTelemetry Histograms into the OpenHistogram format. - Turnkey Streaming Dashboards – The latest release includes new dashboards for a number of integrations, including Google Cloud, Docker, Apache, Oracle, vSphere, and more. Circonus dashboards now stream data automatically, updating graphs in real-time so users have the most recent information without having to refresh the screen. - New Metrics Explorer – The new Metrics Explorer in Circonus enables users to more quickly identify the primary KPIs they care about and automatically save them as graphs and add them to dashboards. New histogram visualizations and legends further enhance the visibility and ease-of-use. - Performance & Memory Improvements – Circonus continues to improve the performance of the application and database with this release, increasing performance of dashboards by 90% The Spring Release builds upon recent additions to the Circonus platform to support distributed observability and edge processing. With this announcement, Circonus continues to support and engineer for the scale, demands, and realities of the modern-day enterprise.

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Circonus Spring Release Now Available

Circonus announced the latest release of its enterprise monitoring and observability platform with a focus on extending coverage and improving ease-of-use. The Spring Release adds features across all four components of the platform: Ingestion & Alerting, Visualizations and Reporting, IronDB time series database, and the Circonus Analytics Query Language (CAQL). The solution now also includes a conversion facility to migrate Graphite queries to CAQL. “Our Spring Release further extends the enterprise capabilities that our partners such as Major League Baseball, HBO, and Redfin rely on to ensure their internal and customer-facing solutions deliver the best customer experience no matter what,” said Bob Moul, CEO of Circonus. The main features of this release include: - Circonus Unified Agent – The new Circonus Unified Agent creates a single agent that enables customers to collect telemetry data from over 300 different technologies. Circonus now includes support for VSphere, VMWare’s cloud-based virtualization platform. VSphere is the leading virtualization technology for large enterprises. Also, Circonus added observability capabilities for Oracle’s DBMS, extending its support for the grid. - Support for OpenTelemetry (OTel) – Circonus now supports OpenTelemetry, allowing customers to use open telemetry integrations within their platform and submit data natively into the Circonus Broker. Additionally, during the data ingestion, Circonus can adapt OpenTelemetry Histograms into the OpenHistogram format. - Turnkey Streaming Dashboards – The latest release includes new dashboards for a number of integrations, including Google Cloud, Docker, Apache, Oracle, vSphere, and more. Circonus dashboards now stream data automatically, updating graphs in real-time so users have the most recent information without having to refresh the screen. - New Metrics Explorer – The new Metrics Explorer in Circonus enables users to more quickly identify the primary KPIs they care about and automatically save them as graphs and add them to dashboards. New histogram visualizations and legends further enhance the visibility and ease-of-use. - Performance & Memory Improvements – Circonus continues to improve the performance of the application and database with this release, increasing performance of dashboards by 90% The Spring Release builds upon recent additions to the Circonus platform to support distributed observability and edge processing. With this announcement, Circonus continues to support and engineer for the scale, demands, and realities of the modern-day enterprise.

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The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration. This wasn't an isolated incident ... So why are these failures still happening? ...

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...