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Cribl LogStream 3.0 Released

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.

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Cribl LogStream 3.0 Released

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

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...