Cribl unveiled Cribl LogStream 3.0, the latest version of the company's flagship solution for making multi-system observability a reality for any organization.
The company is also announcing the general availability of LogStream Cloud, the software-as-a-service consumption option first announced at the end of last year.
"LogStream 3.0 and Cloud are a watershed moment for the industry. Standing up an observability pipeline requires careful infrastructure planning. Observability data comes in thousands of shapes and sizes, and in today's world customers are left copy and pasting configuration snippets found in obscure repos to try to best shape, enrich, and reduce their data sets," said Clint Sharp, Co-Founder & CEO of Cribl. "With the launch of LogStream 3.0 and Cloud, customers can get value in minutes and then share all their hard-won knowledge easily with the broader Cribl community."
LogStream is a next generation log router that collects and optimizes data streams from existing installed and known agent(s), then shapes and routes data to analytics systems in real-time while maintaining high-fidelity data in low-cost storage. In this release, Cribl introduces LogStream Packs, a powerful framework for rapidly accelerating deployments, and formally releases LogStream Cloud, a SaaS-based deployment model for LogStream. LogStream Packs framework allows organizations and communities of data engineers to scale their expertise by building and sharing LogStream configuration models that can be rapidly deployed without the need to reconfigure common use cases.
Key customer benefits include:
- Built-in knowledge and shareable content reduces cost, complexity, and time to manage an Observability pipeline.
- No customization needed to collect and send data from hundreds of sources to endless destinations.
- More sources can be collected and routed to more destinations without taxing IT budgets. Maximizing data sources is critical to improving analytics tools and ML/AI models.
- Cloud deployment model allows organizations to get started for no cost and scale at their own pace.
The Latest
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...