Knowledge administration and analytics startup Logiq.ai has launched LogFlow, an “observability information pipeline as a service,” geared toward safety groups.
An information pipeline refers to all of the steps related to transferring information from on-premises methods to the cloud – from copying information, transferring it throughout methods, and reformatting or becoming a member of with different information sources – in an automatic and dependable method. Nonetheless, the complexity of applied sciences getting used to gather, retailer, combination, and visualize information has made it tough to take care of information high quality and integrity. Knowledge downtime, which refers to intervals of time when information is partial, misguided, lacking, or in any other case inaccurate, is a giant drawback for organizations as information methods change into extra advanced. Observability refers back to the monitoring, monitoring, and triaging of incidents to forestall downtime.
Think about a state of affairs the place the safety staff is wanting over logs and safety occasions, and information is lacking information that would level to a ransomware assault. Knowledge downtime can impression the power for IT safety groups to detect assaults or establish gaps in controls.
LogFlow is designed to sort out the observability drawback, optimize information quantity, and enhance information high quality, Logiq says. Its log administration and SIEM capabilities permit safety occasion detection and tagging, and native help for open requirements makes it straightforward to gather machine information from any supply, the corporate says. With over 2,000 guidelines as a part of built-in “Rule Packs,” safety groups can filter, tag, extract, and rewrite information for common buyer environments and workloads. LogFlow can even proceed ingesting information and offering essential forensics even when upstream methods are unavailable, the corporate says.
There are a variety of open supply instruments able to routing information between varied sources and goal methods, comparable to Fluent Bit and Logstash, Logiq.ai says. Enterprises can use LogFlow to take care of different information pipeline challenges, comparable to controlling information quantity and sprawl, stopping information loss, guaranteeing information reusability with fine-grained management, and guaranteeing enterprise continuity throughout upstream failures, the corporate says.
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