Operations | Monitoring | ITSM | DevOps | Cloud

opsmatters

The Growing Role of Data Science in Technology

Dec 4, 2024 By OpsMatters In OpsMatters
Have you ever wondered how your favorite apps predict what you want to watch or buy? In today's world, data drives much of what we experience in technology. From smartphones to smart cities, data science shapes how tools, systems, and services are built and improved. As technology advances, data becomes even more critical in solving problems, improving efficiency, and enhancing user experiences. In this blog, we will share how data science plays a key role in shaping the technology of today and the future.
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pagerduty

PagerDuty's AI-First Future with AWS: Key Announcements at AWS re:Invent 2024

Dec 3, 2024 By Débora Cambé In PagerDuty
At AWS re:Invent 2024, PagerDuty is strengthening its long-standing partnership with Amazon Web Services (AWS). Together, we’re launching new AI and automation tools to enhance operational efficiency and help teams deliver superior customer experiences. With a plugin for Amazon Q, and integrations with Amazon Bedrock and Amazon Bedrock Guardrails, PagerDuty Advance is redefining what it means to respond to incidents faster and smarter.
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opsverse

The Rise of DevOps Copilots: A New Era of Automation and Intelligence

Dec 3, 2024 By Nikhil Ravindran In OpsVerse
As the demands of modern software development continue to grow, so too does the complexity of DevOps. To keep pace, many organizations are turning to AI-powered assistants that help manage infrastructures, streamline pipelines, and automate repetitive tasks. These assistants are known as copilots, and they promise to enhance productivity while reducing operational overhead. But not all of them are created equal.
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logz.io

AI Agent RCA on Alerts: Get the Info You Need, Fast

Dec 3, 2024 By Jake O'Donnell In logz.io
A critical component of any monitoring and observability system is alerting. But alerts in and of themselves aren’t enough—when something goes wrong, time is of the essence, and your team needs to figure out not just what’s going on but how to fix it, and fast. Additionally, constantly chasing down alerts can be the bane of any observability practitioner’s existence.
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datadog

Monitor your OpenAI LLM spend with cost insights from Datadog

Dec 2, 2024 By Thomas Sobolik In Datadog
Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.
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gremlin

Reliable AI models, simulations, and more with Gremlin's GPU experiment

Dec 2, 2024 By Andre Newman In Gremlin
Note This blog uses “GPU” to refer to the entire processing circuit, including the GPU processor, video memory, and other supporting hardware. ‍ Artificial Intelligence (AI) has become one of the biggest tech trends in years. From generating full movies to updating its own code, AI is performing tasks that were once science fiction.
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sumologic

The future is now, introducing Dynamic Observability from AI innovations built on logs

Dec 2, 2024 By Joe Kim In Sumo Logic
A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.
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GenAI security with confidential computing

Nov 29, 2024 By Canonical In Canonical
Watch to explore how to ensure data security and privacy in AI applications that employ Large Language Models (LLMs). As generative AI becomes increasingly vital for enterprises – especially in applications such as chatbots utilizing Retrieval-Augmented Generation (RAG) systems – ensuring the security and confidentiality of data within these frameworks is essential. During this webinar: We will introduce confidential computing as a method for safeguarding data, with a specific focus on its application within RAG systems for securing data during usage or processing;
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