LogDNA announced general availability for several platform capabilities that empower companies to get more out of log data while maintaining control over costs.
Enterprise users can now access Variable Retention and Enterprise Organizations, while all users benefit from new log control features, including Log Data Restoration, Usage Quotas, and Index Rate Alerting.
With the ongoing proliferation of log data in complex environments, and an influx of use cases for using that data, it's more important than ever for teams to control every part of their log management pipeline. LogDNA’s newly available features make it easier for teams to access the value of log data within key workflows, without being hindered by storage challenges and unpredictable costs.
“From the largest enterprises to hypergrowth startups, companies need tools that enable them to continue growing their businesses without being burdened by things like runaway logging bills or data being trapped in storage,” said Tucker Callaway, LogDNA CEO. "LogDNA’s new features provide a level of control for both data and resources, which in turn opens up more use cases that help unlock the power of log data.”
Enterprise users can now access two additional features:
- Variable Retention gives users the flexibility to save logs in the LogDNA user interface only for the amount of time that they're relevant. Variable Retention rules can be easily set up by specifying a LogDNA search syntax to match relevant logs and the desired retention length.
- Enterprise Organizations provides users more granularity in how they organize their accounts. Customers with large deployment scenarios can fine-tune account setups with different levels of access and SSO management.
All LogDNA customers can benefit from the following features, now generally available:
- Log Data Restoration allows customers to restore archived log data into LogDNA so that they can quickly view and search logs. Users can store logs more cost-effectively in cold storage, and then quickly and easily recall them back into LogDNA when needed, saving both time and money.
- Usage Quotas gives users the flexibility to control their log retention with a hard quota or a soft quota.
- Index Rate Alerting allows users to monitor the index rate of logs and receive alerts when there is a spike in activity.
The Latest
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 ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...