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Instana Releases Monitoring and Tracing for .Net Core

Instana released automatic code-level monitoring and tracing for .Net Core.

This brings the total number of programming languages automatically instrumented and traced by Instana to twelve including Java, C#/.Net, Ruby, Node, Go, and many more. Instana was the first APM solution to release a .Net Core agent in 2018, with this latest release completing the process of automatic instrumentation for code level visibility.

“Microservice architectures continue to evolve, creating interesting combinations of programming and infrastructure technologies,” said Chris Farrell, Director of Marketing at Instana. “It’s critical for any management tool to provide complete code-level visibility and tracing of all user requests across all possible programming languages, including .Net Core.”

The latest release brings Instana’s automatic tracing to a dozen different programming languages – all without any human configuration or engineering effort. Coupled with the one hundred and fifty microservice platform and infrastructure sensors, Instana has the ability to track user requests across the full stack and all services of dynamic microservice applications.

Instana automates the discovery of services, automatically understands their quality and immediately presents information on quality and performance to DevOps. Unlike conventional monitoring solutions, Instana’s automated APM solution operates without requiring ongoing engineering effort, human configuration, or even application restarts. Developers are able to determine build quality with one click. Likewise, traditional Ops personnel can quickly understand the root cause of production performance issues.

The latest sensors, including .Net Core tracing, are available in the product today, which new users can try for free.

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Instana Releases Monitoring and Tracing for .Net Core

Instana released automatic code-level monitoring and tracing for .Net Core.

This brings the total number of programming languages automatically instrumented and traced by Instana to twelve including Java, C#/.Net, Ruby, Node, Go, and many more. Instana was the first APM solution to release a .Net Core agent in 2018, with this latest release completing the process of automatic instrumentation for code level visibility.

“Microservice architectures continue to evolve, creating interesting combinations of programming and infrastructure technologies,” said Chris Farrell, Director of Marketing at Instana. “It’s critical for any management tool to provide complete code-level visibility and tracing of all user requests across all possible programming languages, including .Net Core.”

The latest release brings Instana’s automatic tracing to a dozen different programming languages – all without any human configuration or engineering effort. Coupled with the one hundred and fifty microservice platform and infrastructure sensors, Instana has the ability to track user requests across the full stack and all services of dynamic microservice applications.

Instana automates the discovery of services, automatically understands their quality and immediately presents information on quality and performance to DevOps. Unlike conventional monitoring solutions, Instana’s automated APM solution operates without requiring ongoing engineering effort, human configuration, or even application restarts. Developers are able to determine build quality with one click. Likewise, traditional Ops personnel can quickly understand the root cause of production performance issues.

The latest sensors, including .Net Core tracing, are available in the product today, which new users can try for free.

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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...