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Instana Adds GitOps Enabled Agent

Instana announced the availability of its Application Performance Monitoring (APM) solution with a GitOps enabled agent.

With the release, Instana’s agent now automatically supports Git-based configuration management across any number of hosts.

“Updating and configuring agents in production environments is a tedious and time consuming effort for organizations today. Of course, the more agents that are running, the more tedious the task,” said Chris Farrell, Instana Technical Director and APM Strategist. “With this latest unique capability, Instana is giving more control to users while reducing manual effort, enabling them to manage agent configuration automatically during agent startup and reboot, and version pin the Instana agent to via their Git repository of preference.”

Traditional monitoring solutions give organizations a choice of using static agents or giving up version control. Instana has allowed both options, but now makes it easier for clients using Git repositories. The Instana agent supports Git-based configuration management, delivering version pinning control for specific hosts, automatic configuration updates fetched on agent startup and reboot, the flexibility to turn this feature on and off at will, and the ability to map different groups of host agents to Git branches based on the environment that is being monitored.

In addition to manual agent configuration being a complex and time-consuming process, it also introduces a high risk of error that could break the monitoring of critical systems. Instana’s GitOps enabled host agent reduces that risk, leading to fewer configuration errors while providing the option for easy rollback if an update causes a problem. With this novel capability, Instana’s agent delivers improved customer experience and more control for users, allowing them to keep the latest version of the agent when it is most convenient.

Instana’s automated APM solution discovers all application service components and application infrastructure, including Cloud infrastructure such as AWS and Lambda, orchestration infrastructure like Kubernetes and Docker, application services and DevOps processes. Instana automatically deploys monitoring sensors for each part of the application technology stack, traces all application requests and profiles every process – without requiring any human configuration or even application restarts. The solution detects application and infrastructure changes in real-time, adjusting its own models and visualizing the changes and any performance impact in seconds.

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Instana Adds GitOps Enabled Agent

Instana announced the availability of its Application Performance Monitoring (APM) solution with a GitOps enabled agent.

With the release, Instana’s agent now automatically supports Git-based configuration management across any number of hosts.

“Updating and configuring agents in production environments is a tedious and time consuming effort for organizations today. Of course, the more agents that are running, the more tedious the task,” said Chris Farrell, Instana Technical Director and APM Strategist. “With this latest unique capability, Instana is giving more control to users while reducing manual effort, enabling them to manage agent configuration automatically during agent startup and reboot, and version pin the Instana agent to via their Git repository of preference.”

Traditional monitoring solutions give organizations a choice of using static agents or giving up version control. Instana has allowed both options, but now makes it easier for clients using Git repositories. The Instana agent supports Git-based configuration management, delivering version pinning control for specific hosts, automatic configuration updates fetched on agent startup and reboot, the flexibility to turn this feature on and off at will, and the ability to map different groups of host agents to Git branches based on the environment that is being monitored.

In addition to manual agent configuration being a complex and time-consuming process, it also introduces a high risk of error that could break the monitoring of critical systems. Instana’s GitOps enabled host agent reduces that risk, leading to fewer configuration errors while providing the option for easy rollback if an update causes a problem. With this novel capability, Instana’s agent delivers improved customer experience and more control for users, allowing them to keep the latest version of the agent when it is most convenient.

Instana’s automated APM solution discovers all application service components and application infrastructure, including Cloud infrastructure such as AWS and Lambda, orchestration infrastructure like Kubernetes and Docker, application services and DevOps processes. Instana automatically deploys monitoring sensors for each part of the application technology stack, traces all application requests and profiles every process – without requiring any human configuration or even application restarts. The solution detects application and infrastructure changes in real-time, adjusting its own models and visualizing the changes and any performance impact in seconds.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...