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Blue Medora Integrates BindPlane with Google's Stackdriver Log

Blue Medora announced general availability and open access of 50+ log source integrations through its BindPlane log streaming platform, for all Google’s Stackdriver customers.

This follows the October beta release and announcement from Google Cloud bringing BindPlane’s log services to market at no additional licensing cost to Stackdriver customers. Stackdriver and BindPlane together bring an in-depth hybrid-cloud, multi-cloud and on-premises view into a single dashboard, connecting health and performance signals from a wide variety of Google and non-Google Cloud Platform (GCP) sources. The managed log streaming capability simplifies extending Stackdriver’s observability to enterprise customer data centers and other public clouds. The addition of log source ingestion complements BindPlane’s existing metrics data pipelining capabilities.

The 50+ preconfigured log source integrations include Kubernetes, Amazon EKS and Azure AKS, along with support for key workloads including Windows applications, Microsoft SQL Server, Oracle, Elasticsearch, Kafka, NGINX and more. They allow Stackdriver customers to unify event analysis, even when running multiple Kubernetes orchestrated services across Google Cloud, New Relic, Amazon Web Services, Microsoft Azure and private data centers. These capabilities also enable diagnosing production issues for application stacks running on Google Cloud VMs. With new product functionality including fully customizable log parsing and formatting, Stackdriver customers can now search on a specific log tag within groups of logs to identify issues faster and quickly match sources to log records. BindPlane automates the collection and enhancement of diverse IT operations data and the metadata that exposes IT relationships. Designed to address the complexity of managing operations data in hybrid and multi-cloud environments, this data stream improves upon the analytics of popular monitoring platforms including Stackdriver, Azure Monitor, New Relic, VMware, Datadog and others. With the possibility of configuring multiple systems sending log data to Stackdriver, BindPlane now allows for remote agent updates from a central location, saving administrators time by not needing to access each individual system to update their log agents.

“As BindPlane continues to grow, introducing log monitoring was the next step for providing single pane health and performance monitoring to our customers,” said Mike Kelly, CTO, Blue Medora. “Our greatest value is continuing to offer a wide range of integrations and types of monitoring as possible. We’ll continue to build these integrations within our customers’ preferred monitoring tools, like Stackdriver, to make sure we offer the most extensive monitoring and observability capabilities.”

Stackdriver brings together application performance tracing, logs, and infrastructure monitoring functions into a single tool. “Our partnership with BindPlane has extended Stackdriver’s capabilities for monitoring logs and metrics to help support our customers’ dynamic and hybrid environments,” said Rami Shalom, Product Manager, Google Cloud. “The integration of BindPlane unlocks a real-time, dimensional data stream that allows our customers to monitor non-GCP public cloud resources that are vital to understanding their full picture health, all within Stackdriver.”

BindPlane currently supports as many as 150 operations data sources that support monitoring of non-GCP public cloud resources including Amazon AWS, Microsoft Azure, Alibaba Cloud, and IBM Cloud. It also monitors critical workloads and databases on GCP (or data center) virtual machines and on-premises infrastructure.

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Blue Medora Integrates BindPlane with Google's Stackdriver Log

Blue Medora announced general availability and open access of 50+ log source integrations through its BindPlane log streaming platform, for all Google’s Stackdriver customers.

This follows the October beta release and announcement from Google Cloud bringing BindPlane’s log services to market at no additional licensing cost to Stackdriver customers. Stackdriver and BindPlane together bring an in-depth hybrid-cloud, multi-cloud and on-premises view into a single dashboard, connecting health and performance signals from a wide variety of Google and non-Google Cloud Platform (GCP) sources. The managed log streaming capability simplifies extending Stackdriver’s observability to enterprise customer data centers and other public clouds. The addition of log source ingestion complements BindPlane’s existing metrics data pipelining capabilities.

The 50+ preconfigured log source integrations include Kubernetes, Amazon EKS and Azure AKS, along with support for key workloads including Windows applications, Microsoft SQL Server, Oracle, Elasticsearch, Kafka, NGINX and more. They allow Stackdriver customers to unify event analysis, even when running multiple Kubernetes orchestrated services across Google Cloud, New Relic, Amazon Web Services, Microsoft Azure and private data centers. These capabilities also enable diagnosing production issues for application stacks running on Google Cloud VMs. With new product functionality including fully customizable log parsing and formatting, Stackdriver customers can now search on a specific log tag within groups of logs to identify issues faster and quickly match sources to log records. BindPlane automates the collection and enhancement of diverse IT operations data and the metadata that exposes IT relationships. Designed to address the complexity of managing operations data in hybrid and multi-cloud environments, this data stream improves upon the analytics of popular monitoring platforms including Stackdriver, Azure Monitor, New Relic, VMware, Datadog and others. With the possibility of configuring multiple systems sending log data to Stackdriver, BindPlane now allows for remote agent updates from a central location, saving administrators time by not needing to access each individual system to update their log agents.

“As BindPlane continues to grow, introducing log monitoring was the next step for providing single pane health and performance monitoring to our customers,” said Mike Kelly, CTO, Blue Medora. “Our greatest value is continuing to offer a wide range of integrations and types of monitoring as possible. We’ll continue to build these integrations within our customers’ preferred monitoring tools, like Stackdriver, to make sure we offer the most extensive monitoring and observability capabilities.”

Stackdriver brings together application performance tracing, logs, and infrastructure monitoring functions into a single tool. “Our partnership with BindPlane has extended Stackdriver’s capabilities for monitoring logs and metrics to help support our customers’ dynamic and hybrid environments,” said Rami Shalom, Product Manager, Google Cloud. “The integration of BindPlane unlocks a real-time, dimensional data stream that allows our customers to monitor non-GCP public cloud resources that are vital to understanding their full picture health, all within Stackdriver.”

BindPlane currently supports as many as 150 operations data sources that support monitoring of non-GCP public cloud resources including Amazon AWS, Microsoft Azure, Alibaba Cloud, and IBM Cloud. It also monitors critical workloads and databases on GCP (or data center) virtual machines and on-premises infrastructure.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

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