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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 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 ...