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Logz.io Introduces New UI for Open 360 Observability Platform

Logz.io announced the launch of Explore, a faster, more intuitive and responsive user interface (UI) for the Logz.io Open 360™ observability platform.

Explore vastly improves the ability of users to access, query and visualize their logs, addressing a critical area of observability that has lacked innovation in recent years.

Explore has become the default log management interface for Logz.io, replacing the previous version based on OpenSearch Dashboards (OSD). A significant upgrade over the OSD-based interface, Explore allows users to effortlessly navigate and analyze logs to swiftly resolve issues and improve troubleshooting efficiency. The enhanced capabilities in Explore, developed in response to market feedback reflecting pervasive challenges, are intended to provide the best possible user experience for log management users.

Explore is four to five times faster than OSD ... And the new ease-of-use features, including intelligent automation and GenAI, make it simple for even less-technical users to interact with logs and get answers to questions.

"Let's face it, log management hasn't evolved much in recent years, and the old approaches based on Kibana or OSD simply cannot fully support modern use cases," said Asaf Yigal, CTO and co-founder of Logz.io. "So we used customer feedback to build a completely new and updated log management experience. Explore is four to five times faster than OSD, reducing manual time and effort spent managing logs and helps Open 360 customers troubleshoot faster. And the new ease-of-use features, including intelligent automation and GenAI, make it simple for even less-technical users to interact with logs and get answers to questions."

Capabilities of Explore enhance user experience and time-to-value, including:

- Speed: Explore is significantly faster than the previous OSD-based interface. In fact, loading time with an empty cache is 4-5x faster with Explore compared to OSD. This increase in speed reduces manual time and effort spent managing logs and helps Open 360 customers troubleshoot faster, especially during production incidents when every second matters.

- Simplicity: With Explore, users see everything in a single, centralized view with two sections—what can be searched, and the results of what they search for. Gone are the complicated OSD menus and submenus that would make it difficult for customers to access data and find the right logging info to troubleshoot and investigate system health. The improved user experience delivered by Explore allows users with limited technical expertise to access and understand their logging environment.

- Intelligent auto-complete: Explore includes Auto Query, a new intelligent auto-complete feature to help users build queries faster. It also includes Quick Filters with predefined fields that enable users to quickly drill down into the most common fields.

- AI integration: Additionally, the Explore interface has added the power of Logz.io's new Observability IQ Assistant, the AI-driven copilot that automatically answers user's queries about their data.

- Enhanced investigative tools: For those who want detailed views, Explore lets users drill into their logs, uncovering new insights informed by contextual data.

- Other UX upgrades: Explore features an improved table with resizable columns, so users can take quick actions directly from the table without losing context. Explore's enhanced graphing capabilities enables users to group by a field and quickly visualize stacked or line charts. In addition, users can now create and manage alerts in one place.

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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 ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

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Logz.io Introduces New UI for Open 360 Observability Platform

Logz.io announced the launch of Explore, a faster, more intuitive and responsive user interface (UI) for the Logz.io Open 360™ observability platform.

Explore vastly improves the ability of users to access, query and visualize their logs, addressing a critical area of observability that has lacked innovation in recent years.

Explore has become the default log management interface for Logz.io, replacing the previous version based on OpenSearch Dashboards (OSD). A significant upgrade over the OSD-based interface, Explore allows users to effortlessly navigate and analyze logs to swiftly resolve issues and improve troubleshooting efficiency. The enhanced capabilities in Explore, developed in response to market feedback reflecting pervasive challenges, are intended to provide the best possible user experience for log management users.

Explore is four to five times faster than OSD ... And the new ease-of-use features, including intelligent automation and GenAI, make it simple for even less-technical users to interact with logs and get answers to questions.

"Let's face it, log management hasn't evolved much in recent years, and the old approaches based on Kibana or OSD simply cannot fully support modern use cases," said Asaf Yigal, CTO and co-founder of Logz.io. "So we used customer feedback to build a completely new and updated log management experience. Explore is four to five times faster than OSD, reducing manual time and effort spent managing logs and helps Open 360 customers troubleshoot faster. And the new ease-of-use features, including intelligent automation and GenAI, make it simple for even less-technical users to interact with logs and get answers to questions."

Capabilities of Explore enhance user experience and time-to-value, including:

- Speed: Explore is significantly faster than the previous OSD-based interface. In fact, loading time with an empty cache is 4-5x faster with Explore compared to OSD. This increase in speed reduces manual time and effort spent managing logs and helps Open 360 customers troubleshoot faster, especially during production incidents when every second matters.

- Simplicity: With Explore, users see everything in a single, centralized view with two sections—what can be searched, and the results of what they search for. Gone are the complicated OSD menus and submenus that would make it difficult for customers to access data and find the right logging info to troubleshoot and investigate system health. The improved user experience delivered by Explore allows users with limited technical expertise to access and understand their logging environment.

- Intelligent auto-complete: Explore includes Auto Query, a new intelligent auto-complete feature to help users build queries faster. It also includes Quick Filters with predefined fields that enable users to quickly drill down into the most common fields.

- AI integration: Additionally, the Explore interface has added the power of Logz.io's new Observability IQ Assistant, the AI-driven copilot that automatically answers user's queries about their data.

- Enhanced investigative tools: For those who want detailed views, Explore lets users drill into their logs, uncovering new insights informed by contextual data.

- Other UX upgrades: Explore features an improved table with resizable columns, so users can take quick actions directly from the table without losing context. Explore's enhanced graphing capabilities enables users to group by a field and quickly visualize stacked or line charts. In addition, users can now create and manage alerts in one place.

The Latest

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...