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LogDNA Integrates with Sysdig

LogDNA announced an integration with Sysdig, a container, Kubernetes, and cloud security and monitoring solution.

LogDNA can now trigger Sysdig events that give insight into log data alongside their system health metrics so that developers can more quickly take action and better understand the health of their applications and infrastructure.

The LogDNA-Sysdig integration ensures that when problems arise, Sysdig users receive alerts with real-time log data and insights alongside their system health metrics. This enables them to mitigate issues quickly, while gaining a more complete picture of their infrastructure's health.

As part of today's news, IBM Cloud is also making the integration of LogDNA and Sysdig available as part of the IBM Cloud observability services. IBM Cloud clients will now be able to log event alerts and share these with the monitoring service directly from their cloud platform. With this new level of integration, IBM aims to help its cloud clients benefit from the high levels of availability, efficiency, and performance enabled by hybrid cloud as they digitally transform.

LogDNA Alerts are an important vehicle for relaying critical real-time pieces of log data directly within developer and site reliability engineer (SRE) workflows. The integration provides joint users with information on the number and type of events that matter for their team. When the specific type of log data reaches a preset threshold above what is expected, LogDNA triggers a Sysdig event. LogDNA can also provide additional details into system health and events, including identifying any deployment errors or whether a feature flag has been turned on/off.

"In the age of secure DevOps, teams need immediate access to their data and consolidated views to accelerate insight," said Omer Azaria, VP of engineering for Sysdig. "With this integration, we make it simple for engineering organizations to build observability stacks that fit their needs. Developers have visibility into the environment to continually understand the health of their applications and respond to issues more quickly."

LogDNA and Sysdig are a part of IBM's partner ecosystem, an initiative to support partners of all types — whether they build on, service, or resell IBM technologies and platforms — to help clients manage and modernize workloads with Red Hat OpenShift for any cloud environment, including IBM Cloud. IBM Cloud is the industry's most secure and open public cloud for business. With its security leadership, enterprise-grade capabilities, and support for open source technologies, IBM Cloud is designed to differentiate and extend hybrid cloud capabilities for enterprise workloads.

The Sysdig Alert integration is available for all LogDNA and Sysdig customers.

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LogDNA Integrates with Sysdig

LogDNA announced an integration with Sysdig, a container, Kubernetes, and cloud security and monitoring solution.

LogDNA can now trigger Sysdig events that give insight into log data alongside their system health metrics so that developers can more quickly take action and better understand the health of their applications and infrastructure.

The LogDNA-Sysdig integration ensures that when problems arise, Sysdig users receive alerts with real-time log data and insights alongside their system health metrics. This enables them to mitigate issues quickly, while gaining a more complete picture of their infrastructure's health.

As part of today's news, IBM Cloud is also making the integration of LogDNA and Sysdig available as part of the IBM Cloud observability services. IBM Cloud clients will now be able to log event alerts and share these with the monitoring service directly from their cloud platform. With this new level of integration, IBM aims to help its cloud clients benefit from the high levels of availability, efficiency, and performance enabled by hybrid cloud as they digitally transform.

LogDNA Alerts are an important vehicle for relaying critical real-time pieces of log data directly within developer and site reliability engineer (SRE) workflows. The integration provides joint users with information on the number and type of events that matter for their team. When the specific type of log data reaches a preset threshold above what is expected, LogDNA triggers a Sysdig event. LogDNA can also provide additional details into system health and events, including identifying any deployment errors or whether a feature flag has been turned on/off.

"In the age of secure DevOps, teams need immediate access to their data and consolidated views to accelerate insight," said Omer Azaria, VP of engineering for Sysdig. "With this integration, we make it simple for engineering organizations to build observability stacks that fit their needs. Developers have visibility into the environment to continually understand the health of their applications and respond to issues more quickly."

LogDNA and Sysdig are a part of IBM's partner ecosystem, an initiative to support partners of all types — whether they build on, service, or resell IBM technologies and platforms — to help clients manage and modernize workloads with Red Hat OpenShift for any cloud environment, including IBM Cloud. IBM Cloud is the industry's most secure and open public cloud for business. With its security leadership, enterprise-grade capabilities, and support for open source technologies, IBM Cloud is designed to differentiate and extend hybrid cloud capabilities for enterprise workloads.

The Sysdig Alert integration is available for all LogDNA and Sysdig customers.

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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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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