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Grafana Labs Releases Loki 3.0

Grafana Labs released Loki 3.0, a logging project

Loki 3.0 includes several key updates including:

- Query Acceleration with Bloom Filters: From the start, Loki has followed the Prometheus label-based data model, which is best suited for developer use cases while keeping scale and cost-effectiveness in mind. This approach made it easy to adopt and integrate Loki within an organization, but made it more difficult for non-developers to take advantage of common search and indexing benefits. This barrier is removed in Loki 3.0, which leverages bloom filters to accelerate queries that search for text strings, such as an order ID or user ID. This update will help users to speed up their needle-in-a-haystack queries from minutes to seconds.

- Native OpenTelemetry Support Added: As OpenTelemetry adoption continues to grow in the community, Loki seeks to meet users where they are with the addition of native OTLP support. With Loki 3.0, users can ingest, store, and query OTLP logs and metadata to solve observability problems.

The Loki engineering team also shared the project's roadmap for making Loki easier to use for its current users, and more accessible to a broader audience. Areas of focus include ease of operating Loki, the ability to cost-effectively support teams at larger and larger scale, interoperability with other Grafana telemetry offerings, and lower user-facing complexity.

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Grafana Labs Releases Loki 3.0

Grafana Labs released Loki 3.0, a logging project

Loki 3.0 includes several key updates including:

- Query Acceleration with Bloom Filters: From the start, Loki has followed the Prometheus label-based data model, which is best suited for developer use cases while keeping scale and cost-effectiveness in mind. This approach made it easy to adopt and integrate Loki within an organization, but made it more difficult for non-developers to take advantage of common search and indexing benefits. This barrier is removed in Loki 3.0, which leverages bloom filters to accelerate queries that search for text strings, such as an order ID or user ID. This update will help users to speed up their needle-in-a-haystack queries from minutes to seconds.

- Native OpenTelemetry Support Added: As OpenTelemetry adoption continues to grow in the community, Loki seeks to meet users where they are with the addition of native OTLP support. With Loki 3.0, users can ingest, store, and query OTLP logs and metadata to solve observability problems.

The Loki engineering team also shared the project's roadmap for making Loki easier to use for its current users, and more accessible to a broader audience. Areas of focus include ease of operating Loki, the ability to cost-effectively support teams at larger and larger scale, interoperability with other Grafana telemetry offerings, and lower user-facing complexity.

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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 ...