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Instana Releases AutoTrace and Trace Analyer

Instana announced the release of a new capability to seamlessly ingest tracing data from all the opensource material alongside any automatic traces. Instana’s AutoTrace automatically captures and traces every user request across any language and microservice technology.

Through the release of the company’s AutoTrace and Trace Analyer capabilities Instana changes the way DevOps can use Tracing technology to improve CI/CD. This correlated tracing enables any constituent to visualize and analyze application performance according to their needs. Developers get the extreme detail view, along with analysis tools, to debug issues. Simultaneously, SREs and Ops team members get the overarching application performance visibility they need to assure business operations.

Instana’s automatic APM solution for dynamic applications is unique in its ability to automate every step of the application monitoring lifecycle, from monitoring deployment to application discovery and monitoring. Instana’s AutoTrace feature extends this automation to tracing, automatically capturing an end-to-end trace of every single application request.

Instana’s Trace Analyzer combines and correlates data from individual traces and analyzes them together, searching for patterns to help improve performance and scalability. Users can use Trace Analyzer to optimize overall performance, locate and eliminate bottlenecks or solve production application performance issues or outages. All of Instana’s Trace analysis capabilities have the ability to include not just Instana’s AutoTrace data, but also data from all tracing sources, including OpenTracing, Jaeger and Zipkin.

Instana’s new trace ingestion capability supports Jaeger, Zipkin, OpenCensus, and OpenTracing. Instana captures every trace from any source which are then automatically analyzed by Instana’s AI powered APM. DevOps teams no longer need to worry about their storage model, their analysis or alerting strategies. This is all handled automatically saving DevOps teams copious amounts of time and effort.

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Instana Releases AutoTrace and Trace Analyer

Instana announced the release of a new capability to seamlessly ingest tracing data from all the opensource material alongside any automatic traces. Instana’s AutoTrace automatically captures and traces every user request across any language and microservice technology.

Through the release of the company’s AutoTrace and Trace Analyer capabilities Instana changes the way DevOps can use Tracing technology to improve CI/CD. This correlated tracing enables any constituent to visualize and analyze application performance according to their needs. Developers get the extreme detail view, along with analysis tools, to debug issues. Simultaneously, SREs and Ops team members get the overarching application performance visibility they need to assure business operations.

Instana’s automatic APM solution for dynamic applications is unique in its ability to automate every step of the application monitoring lifecycle, from monitoring deployment to application discovery and monitoring. Instana’s AutoTrace feature extends this automation to tracing, automatically capturing an end-to-end trace of every single application request.

Instana’s Trace Analyzer combines and correlates data from individual traces and analyzes them together, searching for patterns to help improve performance and scalability. Users can use Trace Analyzer to optimize overall performance, locate and eliminate bottlenecks or solve production application performance issues or outages. All of Instana’s Trace analysis capabilities have the ability to include not just Instana’s AutoTrace data, but also data from all tracing sources, including OpenTracing, Jaeger and Zipkin.

Instana’s new trace ingestion capability supports Jaeger, Zipkin, OpenCensus, and OpenTracing. Instana captures every trace from any source which are then automatically analyzed by Instana’s AI powered APM. DevOps teams no longer need to worry about their storage model, their analysis or alerting strategies. This is all handled automatically saving DevOps teams copious amounts of time and effort.

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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 ...