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Grafana Enterprise Stack Released

Grafana Labs announced the availability of the unified Grafana Enterprise Stack.

Made for customers running their own infrastructure, the new product suite includes Grafana Enterprise, Enterprise Metrics for delivering Prometheus-as-a-service, and the brand-new Enterprise Logs, a scalable self-managed log aggregation solution based on Grafana Loki. With the addition of Enterprise Stack, Grafana Labs’ customers now have the flexibility to deploy their observability solution in a self-managed model, or in the cloud with Grafana Cloud.

The self-managed Grafana Enterprise Stack has critical features that extend the observability platform’s functionality with additional scalability and connectivity. Enterprise Stack includes data source plugins for visualizing other commercial tools in Grafana, such as Splunk, New Relic, MongoDB, ServiceNow, Oracle, Snowflake and more. In addition, Enterprise Stack features reporting, enhanced authentication and security, as well as around-the-clock support from the team at Grafana Labs.

Grafana Enterprise Stack expands upon the capabilities of some of the most popular open source observability projects, including Grafana, Loki, Prometheus, and Cortex. Designed and built by many of the original creators and current maintainers of these projects, GES includes features that provide better scalability, collaboration, operations and governance in a self-managed environment.

“At Grafana Labs, we’re committed to providing our customers with the choice between cloud-based observability in Grafana Cloud, or the new self-managed option of Enterprise Stack. Whatever our customer’s needs may be, we have an observability solution to match,” said Anthony Woods, Co-Founder and CTO at Grafana Labs. “Grafana Enterprise Stack already includes enterprise plugins, enhanced security and reporting that modern organizations are looking for, and the addition of Enterprise Logs brings powerful log aggregation capabilities and even more cost efficiency to the platform.”

Using Loki’s log indexing approach, Enterprise Logs enables increased scalability and improved cost efficiency for Grafana customers.

Key features included in Grafana Enterprise Logs include:

- Instance management allowing users to visually build and manage instances, access policies, and tokens. Users can also quickly create new data sources and view system configurations.

- Access to admin API, making it easier for administrators to distribute and limit access to specific logs and users across large organizations.

- Enhanced security, with access policies and tokens built into the platform to ensure enterprise-level accessibility and integrity.

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Grafana Enterprise Stack Released

Grafana Labs announced the availability of the unified Grafana Enterprise Stack.

Made for customers running their own infrastructure, the new product suite includes Grafana Enterprise, Enterprise Metrics for delivering Prometheus-as-a-service, and the brand-new Enterprise Logs, a scalable self-managed log aggregation solution based on Grafana Loki. With the addition of Enterprise Stack, Grafana Labs’ customers now have the flexibility to deploy their observability solution in a self-managed model, or in the cloud with Grafana Cloud.

The self-managed Grafana Enterprise Stack has critical features that extend the observability platform’s functionality with additional scalability and connectivity. Enterprise Stack includes data source plugins for visualizing other commercial tools in Grafana, such as Splunk, New Relic, MongoDB, ServiceNow, Oracle, Snowflake and more. In addition, Enterprise Stack features reporting, enhanced authentication and security, as well as around-the-clock support from the team at Grafana Labs.

Grafana Enterprise Stack expands upon the capabilities of some of the most popular open source observability projects, including Grafana, Loki, Prometheus, and Cortex. Designed and built by many of the original creators and current maintainers of these projects, GES includes features that provide better scalability, collaboration, operations and governance in a self-managed environment.

“At Grafana Labs, we’re committed to providing our customers with the choice between cloud-based observability in Grafana Cloud, or the new self-managed option of Enterprise Stack. Whatever our customer’s needs may be, we have an observability solution to match,” said Anthony Woods, Co-Founder and CTO at Grafana Labs. “Grafana Enterprise Stack already includes enterprise plugins, enhanced security and reporting that modern organizations are looking for, and the addition of Enterprise Logs brings powerful log aggregation capabilities and even more cost efficiency to the platform.”

Using Loki’s log indexing approach, Enterprise Logs enables increased scalability and improved cost efficiency for Grafana customers.

Key features included in Grafana Enterprise Logs include:

- Instance management allowing users to visually build and manage instances, access policies, and tokens. Users can also quickly create new data sources and view system configurations.

- Access to admin API, making it easier for administrators to distribute and limit access to specific logs and users across large organizations.

- Enhanced security, with access policies and tokens built into the platform to ensure enterprise-level accessibility and integrity.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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 ...