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observIQ Releases BindPlane OP

observIQ announced the general availability of BindPlane OP (observability pipeline), an open source observability pipeline built specifically for OpenTelemetry.

Enterprise-ready BindPlane OP provides the ability to control observability costs and simplify the management of telemetry agents at scale while avoiding vendor lock-in.

BindPlane OP addresses the growing challenge of increased data overwhelming the ability to meaningfully monitor the pipeline. It filters data, reducing the volume, for greater manageability and lowering the cost of unused data analytics. It also provides a single control plane for managing thousands of agents, with the ability to quickly deploy new agents, manage their configurations, and monitor their health in real-time.

BindPlane OP supports OpenTelemetry processors and metric toggling, unlocking full control of telemetry data.

BindPlane OP removes the need for proprietary agents with native support for OpenTelemetry. It offers over 50 total integrations - including: Windows; Linux; VMware vCenter and ESXI; MongoDB, Kafka; SQL Server; Microsoft IIS; Apache HTTP; and Zookeeper – and supports sending data to the most popular observability platforms.

The OpenTelemetry collector can be deployed to all hosts and start gathering metrics, logs, and traces immediately. BindPlane OP can also be deployed behind a firewall, without a connection to observIQ. It works with OpenTelemetry using the new OpAMP protocol for agent management, with continued expanded support to other OSS agents.

Mike Kelly, CEO of observIQ, said: "One of our guiding principles with BindPlane OP is to make it simple for users to instrument once and send anywhere. Enterprises are looking for a way to manage the flood of observability data available and need a vendor-neutral solution supporting a multitude of observability tools. BindPlane OP solves these challenges."

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observIQ Releases BindPlane OP

observIQ announced the general availability of BindPlane OP (observability pipeline), an open source observability pipeline built specifically for OpenTelemetry.

Enterprise-ready BindPlane OP provides the ability to control observability costs and simplify the management of telemetry agents at scale while avoiding vendor lock-in.

BindPlane OP addresses the growing challenge of increased data overwhelming the ability to meaningfully monitor the pipeline. It filters data, reducing the volume, for greater manageability and lowering the cost of unused data analytics. It also provides a single control plane for managing thousands of agents, with the ability to quickly deploy new agents, manage their configurations, and monitor their health in real-time.

BindPlane OP supports OpenTelemetry processors and metric toggling, unlocking full control of telemetry data.

BindPlane OP removes the need for proprietary agents with native support for OpenTelemetry. It offers over 50 total integrations - including: Windows; Linux; VMware vCenter and ESXI; MongoDB, Kafka; SQL Server; Microsoft IIS; Apache HTTP; and Zookeeper – and supports sending data to the most popular observability platforms.

The OpenTelemetry collector can be deployed to all hosts and start gathering metrics, logs, and traces immediately. BindPlane OP can also be deployed behind a firewall, without a connection to observIQ. It works with OpenTelemetry using the new OpAMP protocol for agent management, with continued expanded support to other OSS agents.

Mike Kelly, CEO of observIQ, said: "One of our guiding principles with BindPlane OP is to make it simple for users to instrument once and send anywhere. Enterprises are looking for a way to manage the flood of observability data available and need a vendor-neutral solution supporting a multitude of observability tools. BindPlane OP solves these challenges."

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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? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...