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The latest News and Information on Log Management, Log Analytics and related technologies.

logz.io

Introducing OrionIQ: The End of Manual Observability

Apr 9, 2026 By Tomer Levy In logz.io
OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action across systems.
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Ep 37: Robbing banks is now a work from home job

Apr 7, 2026 By Sumo Logic, Inc. In Sumo Logic
In this episode of Masters of Data, we explore how banks and fintech companies have traded friendly neighborhood tellers for data-driven, always-on digital fortresses. We unpack everything from sophisticated phishing schemes and viral TikTok check fraud trends to the AI-powered tools that now handle the fraud detection Shirley the bank teller used to manage through sheer familiarity. We make the case that financial institutions today face more pressure than ever to be trustworthy, secure, and seamless all at once, whether their customers are logging into a sleek app or calling a landline to pay two bills a month.
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Paris | Observability Unleashed - Boostez vos opérations IT, DevOps & SRE

Apr 3, 2026 By Splunk In Splunk
La complexité des environnements IT ne cesse de croître. La visibilité en temps réel n'est plus une option. Le 14 avril 2026, Stéphane Estevez , EMEA Observability Market Advisor chez Splunk, vous invite chez Cisco à Paris pour un événement dédié à l'observabilité, avec les équipes Splunk & Cisco. Au programme : Observabilité assistée par l'IA Stratégies de données intégrées OpenTelemetry simplifié De la donnée à l'action, avec des cas concrets et démos live Observabilité pour l'IA et par l'IA.
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observiq

KubeCon Europe 2026: OpenTelemetry Recap from Amsterdam

Apr 2, 2026 By Adnan Rahic In ObservIQ
The reason why I like writing recap articles is because AIs don’t have enough context to write them for us. You have to be there, in person, listen to sessions, interact in the hallways with the community, and absorb as much new knowledge as possible. That’s what I did last week in Amsterdam at KubeCon + CloudNativeCon Europe ‘26. Well, at least I tried to. Let me break down what I consider the most interesting topics were last week.
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graylog

Unified Logging for a Single Source of Truth

Apr 1, 2026 By Jeff Darrington In Graylog
In Star Trek, the Borg are a cybernetic alien organism that forcibly assimilates other beings and technologies into its hivemind called “The Collective.” Each assimilated being or technology becomes part of the unified consciousness, with the villainous Borg Queen as the leaders. As the only independent thinker, the Borg Queen leads this rapidly adapting Collective.
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chaossearch

From Silos to Collaboration: How to Democratize Data in Product Analytics

Mar 31, 2026 By David Bunting In ChaosSearch
Companies who develop software products generate massive quantities of product performance and user engagement data that can be analyzed to support decision-making about everything from feature planning and UX design to sales, marketing, and customer support. Leveraging product data throughout the enterprise represents a significant opportunity to achieve a competitive advantage, but challenges like siloed data systems, poor data literacy, and the complexity of data analytics in the cloud can prevent organizations from making full use of their raw data.
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sematext

Pull Request Velocity as a Proxy for AI Usage for Software Development

Mar 31, 2026 By Sematext In Sematext
While AI have usage has been growing steadily for the last several years, the LLM models noticeably improved around the end of 2025. Specifically, they become more viable for software development. We are seeing the results. The feature and product delivery has picked up. One way to visualize this is by looking at the number of pull requests for your organization / software development teams. This chart shows the number of Github pull requests created by a team. Can you spot when AI usage increased?
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