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Logz.io Launches Distributed Tracing

Logz.io announced the launch of the Jaeger-based Distributed Tracing solution.

Distributed Tracing enhances and completes Logz.io’s ground-breaking observability mission of providing the best-of-breed open source monitoring tools on a fully managed SaaS platform.

Logz.io now enables engineers to collect, analyze and correlate logs, metrics and traces on a single, open source-based platform to make production monitoring and troubleshooting faster and easier.

As engineering teams continue to develop microservices based applications, the complexities of this increasingly distributed architecture have made it harder to identify and isolate production issues. The open source tracing project, Jaeger, governed and supported by the Cloud Native Computing Foundation, was conceived at Uber in response to these monitoring challenges and their business need to build a microservices and cloud native architecture to meet demands for scale. Jaeger responds to the fundamental shift in the development and operational needs of engineers by supporting the monitoring, verification, debugging, and performance of cloud native applications. According to the recent DevOps Pulse 2020 from Logz.io, Jaeger and other tracing solutions are emerging, with 68% of the 1,000+ engineers surveyed stating that the technology “plays an important role in their observability strategy.”

The Logz.io Distributed Tracing solution complements the ELK-based Log Management and open source Grafana-based Infrastructure Monitoring offerings to provide engineers with an easy-to-use, fully managed and integrated platform. Logz.io Distributed Tracing is completely cloud-based, easy to deploy and onboard. Engineers can use Distributed Tracing to gain a system-wide view of their architecture, stay alerted on failed or high latency requests, and quickly drill into end-to-end call sequences of selected requests of intercommunicating microservices. Users can also reduce time to detect and time to resolve by navigating between traces, logs and metrics. The launch of Jaeger-based Distributed Tracing further solidifies Logz.io’s commitment to the open source community by contributing features and fixes to Jaeger.

Key benefits of Distributed Tracing include:

- Unification with Log Management and Infrastructure Monitoring: - Engineers can monitor and analyze logs, metrics, and traces based on ELK, open-source Grafana, and Jaeger on one unified platform. Jaeger, along with Logz.io’s offering, adheres to the open source projects OpenTracing and OpenTelemetry and guarantees that application instrumentation and trace data will remain relevant across frameworks now and into the future.

- Open Source + Advanced Analytics: Distributed Tracing enables seamless alerting and correlation between logs and traces. This workflow unifies monitoring and troubleshooting to facilitate faster root cause analysis.

- Ease of Use and Cost Efficiency: The solution supports the rich ecosystem of instrumented tracing frameworks, databases and programming languages. Engineers can easily deploy Distributed Tracing and avoid the steep costs of leading proprietary APM-based solutions, and the overhead of managing open source components at scale.

“This solution marks a significant milestone in the development of our end-to-end observability platform,” said Tomer Levy, CEO and Co-founder of Logz.io. “Engineers can now quickly and easily deploy an open source-based tracing solution that allows fast and seamless correlation between logs, metrics and traces on one unified SaaS platform.”

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Logz.io Launches Distributed Tracing

Logz.io announced the launch of the Jaeger-based Distributed Tracing solution.

Distributed Tracing enhances and completes Logz.io’s ground-breaking observability mission of providing the best-of-breed open source monitoring tools on a fully managed SaaS platform.

Logz.io now enables engineers to collect, analyze and correlate logs, metrics and traces on a single, open source-based platform to make production monitoring and troubleshooting faster and easier.

As engineering teams continue to develop microservices based applications, the complexities of this increasingly distributed architecture have made it harder to identify and isolate production issues. The open source tracing project, Jaeger, governed and supported by the Cloud Native Computing Foundation, was conceived at Uber in response to these monitoring challenges and their business need to build a microservices and cloud native architecture to meet demands for scale. Jaeger responds to the fundamental shift in the development and operational needs of engineers by supporting the monitoring, verification, debugging, and performance of cloud native applications. According to the recent DevOps Pulse 2020 from Logz.io, Jaeger and other tracing solutions are emerging, with 68% of the 1,000+ engineers surveyed stating that the technology “plays an important role in their observability strategy.”

The Logz.io Distributed Tracing solution complements the ELK-based Log Management and open source Grafana-based Infrastructure Monitoring offerings to provide engineers with an easy-to-use, fully managed and integrated platform. Logz.io Distributed Tracing is completely cloud-based, easy to deploy and onboard. Engineers can use Distributed Tracing to gain a system-wide view of their architecture, stay alerted on failed or high latency requests, and quickly drill into end-to-end call sequences of selected requests of intercommunicating microservices. Users can also reduce time to detect and time to resolve by navigating between traces, logs and metrics. The launch of Jaeger-based Distributed Tracing further solidifies Logz.io’s commitment to the open source community by contributing features and fixes to Jaeger.

Key benefits of Distributed Tracing include:

- Unification with Log Management and Infrastructure Monitoring: - Engineers can monitor and analyze logs, metrics, and traces based on ELK, open-source Grafana, and Jaeger on one unified platform. Jaeger, along with Logz.io’s offering, adheres to the open source projects OpenTracing and OpenTelemetry and guarantees that application instrumentation and trace data will remain relevant across frameworks now and into the future.

- Open Source + Advanced Analytics: Distributed Tracing enables seamless alerting and correlation between logs and traces. This workflow unifies monitoring and troubleshooting to facilitate faster root cause analysis.

- Ease of Use and Cost Efficiency: The solution supports the rich ecosystem of instrumented tracing frameworks, databases and programming languages. Engineers can easily deploy Distributed Tracing and avoid the steep costs of leading proprietary APM-based solutions, and the overhead of managing open source components at scale.

“This solution marks a significant milestone in the development of our end-to-end observability platform,” said Tomer Levy, CEO and Co-founder of Logz.io. “Engineers can now quickly and easily deploy an open source-based tracing solution that allows fast and seamless correlation between logs, metrics and traces on one unified SaaS platform.”

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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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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 ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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