AI observability stories
New Relic uses AI observability with NVIDIA NIM integration
Last week
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ai security
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ai
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aiops
New Relic integrates NVIDIA NIM inference microservices, bringing AI observability to its platform.
Riverbed unveils Riverbed One partner program to boost IT efficiency
Last month
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it training
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certification
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riverbed
Riverbed has launched Riverbed One, a new partner program aimed at enhancing success with AI-driven solutions and simplified engagement, to meet evolving IT demands.
LogicMonitor releases Edwin AI to revolutionise ITOps
Last month
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ai
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genai
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logicmonitor
LogicMonitor launches Edwin AI, a new generative AI tool designed to revolutionise IT operations by reducing alert fatigue and speeding up issue resolution.
Riverbed launches AIOps solutions for enhanced network monitoring
Wed, 8th May 2024
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riverbed
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network monitoring
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network visibility
Riverbed introduces an advanced suite of AIOps solutions, bolstering IT teams with enhanced network monitoring, automated problem-resolution, and improved digital experiences.
New Relic report uncovers ongoing trends in Java adoption
Wed, 1st May 2024
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accounting systems
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cloud services
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encryption
New Relic's fourth annual State of the Java Ecosystem report reveals latest trends in Java development and adoption, highlighting significant growth in Java 21's uptake and shifts in preferred Java Developer Kits.
Dynatrace extends AI observability to secure generative AI apps
Thu, 1st Feb 2024
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cloud services
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bi
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big data
Dynatrace introduces AI Observability, a comprehensive platform providing end-to-end observability for Large Language Models and Generative AI apps, enhancing security, cost control and compliance.
New Relic launches industry-first AI powered app performance monitoring solution
Wed, 15th Nov 2023
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cloud services
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public cloud
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aws
New Relic unveils the industry's first AI application performance monitor, providing unprecedented visibility into AI stacks.
New Relic launches its generative AI observability assistant
Wed, 3rd May 2023
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data science
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iaas
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paas
It will allow engineers to use natural language and AI to monitor, debug, secure, and improve the software stack and remove barriers to adopting observability.