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ManageEngine Extends Log360 Log Management to the Cloud

ManageEngine has extended the log management capabilities of its security information and event management (SIEM) solution, Log360, to the cloud.

Available immediately, Log360 Cloud allows IT administrators to store and manage log data collected from on-premises environments on Zoho's secure cloud platform, giving enterprises insight on critical aspects of their network without having to worry about storage infrastructure.

"We're broadening the scope of Log360 and moving it to the cloud because that's what customers want - easy deployment and management, pay-for-what-you-use pricing, and a secure cloud platform that can take the burden of in-house infrastructure off their shoulders," said Manikandan Thangaraj, Director of Program Management at ManageEngine. "Log360 Cloud gives enterprises the best of both worlds: security and cloud storage."

Key features that make Log360 Cloud stand out from other cloud-based log management solutions include:

- Quick installation, with the ability to be up and running within a few minutes after the log collection agent is installed and devices are configured.

- Secure cloud platform to store and manage logs.

- Powerful log search engine that can quickly perform forensic and root cause analysis.

- Security audit reports that give administrators information on who did what, when and from where in the network.

- Integrated IT compliance module with reports that help meet compliance mandates.

Log360 Cloud is available immediately. A fully functional, 30-day trial is available

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ManageEngine Extends Log360 Log Management to the Cloud

ManageEngine has extended the log management capabilities of its security information and event management (SIEM) solution, Log360, to the cloud.

Available immediately, Log360 Cloud allows IT administrators to store and manage log data collected from on-premises environments on Zoho's secure cloud platform, giving enterprises insight on critical aspects of their network without having to worry about storage infrastructure.

"We're broadening the scope of Log360 and moving it to the cloud because that's what customers want - easy deployment and management, pay-for-what-you-use pricing, and a secure cloud platform that can take the burden of in-house infrastructure off their shoulders," said Manikandan Thangaraj, Director of Program Management at ManageEngine. "Log360 Cloud gives enterprises the best of both worlds: security and cloud storage."

Key features that make Log360 Cloud stand out from other cloud-based log management solutions include:

- Quick installation, with the ability to be up and running within a few minutes after the log collection agent is installed and devices are configured.

- Secure cloud platform to store and manage logs.

- Powerful log search engine that can quickly perform forensic and root cause analysis.

- Security audit reports that give administrators information on who did what, when and from where in the network.

- Integrated IT compliance module with reports that help meet compliance mandates.

Log360 Cloud is available immediately. A fully functional, 30-day trial is available

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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 ...

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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 ...

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