Operations | Monitoring | ITSM | DevOps | Cloud

splunk

Solve Problems Faster with New, Smarter AI and Integrations in Splunk Observability

Feb 10, 2025 By Connor Tye In Splunk
As businesses scale across hybrid and multi-cloud environments and integrate AI-powered technologies, complexity grows — and with it, the risk of performance degradation and cost of downtime. To avoid facing customer-impacting IT issues, organizations need better ways to correlate data across environments, detect anomalies before they escalate, and resolve incidents more efficiently. That’s where Splunk and Cisco come in.
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puppet

Jekyll and Hyde: Taming AI Security with Automation

Feb 7, 2025 By Robin Tatam In Puppet
AI offers a world of promise for security teams, including potential for advanced threat detection, automated response capabilities, and enhanced data analysis for cybersecurity. But the same technology that supports cybersecurity teams can also be weaponized by threat actors — a true “Good vs. Evil", or “Jekyll and Hyde” scenario.
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Edge AI is a Game-Changer for Embedded Devices

Feb 6, 2025 By Memfault In Memfault
AI at the edge is built for embedded systems. And no need for tons of compute power— most of the heavy lifting happens during training so the models run efficiently on minimal hardware. With microcontrollers like STM32N6 optimizing for AI workloads, the potential is growing fast. Is AI at the edge part of your embedded strategy this year?
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opsmatters

The Future of SEO: Predictions and Preparations

Feb 6, 2025 By OpsMatters In OpsMatters
Search Engine Optimization better known as SEO, has been part of digital marketing right from the year 2000. With growth in technology and alterations in the manner that users interact on the online platform, SEO changes as well. It will particularly apply to businesses and marketers who want to improve on their positions as far as the internet is concerned. An SEO agency possesses industry knowledge to assist in updating strategies to match current knowledge and implementations of an algorithm.
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sentry

Using a transformer-based text embeddings model to reduce Sentry alerts by 40% and cut through noise

Feb 5, 2025 By Tillman Elser In Sentry
Sentry uses Issue Grouping to aggregate identical errors and prevent duplicate issues from being created, and duplicate alerts being sent. One of the chief complaints we’ve heard from our users is that in some cases the existing algorithm did not sufficiently group similar errors together, and Sentry would create separate issues and alerts, causing unnecessary disruption–or at least annoyance–to developers.
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site24x7

How AI-powered anomaly detection is transforming APM for SREs

Feb 5, 2025 By Sindu Priyadharshini V In Site24x7
Site reliability engineers (SREs) often face challenges in keeping an organization’s sites running smoothly as the complexity of distributed systems steadily increases. With the rise of microservices, cloud-native architectures, and massive data volumes, manual monitoring and troubleshooting are no longer sustainable. SREs must navigate hurdles like alert fatigue, incident response delays, and the constant pressure to maintain system reliability.
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opsmatters

How AI Can Misinterpret Data and Lead to Errors

Feb 4, 2025 By OpsMatters In OpsMatters
While AI systems can analyze vast amounts of data quickly, they may also misinterpret that data and lead to significant errors. Understanding how AI misjudgments occur will improve algorithms and ensure they provide accurate results. From biases in data to linguistic ambiguities, various factors can contribute to an AI's misinterpretation of information. Look closely at how these systems work and reveal why you should address these issues right below.
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