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By Abhishek Singh
Observability is undergoing a massive shift as enterprises drive adoption of modern technologies, including cloud and microservices, along with disruptive technologies, such as generative AI (GenAI). To keep pace with the complex requirements of the modern tech stack, operations teams need to consider and adopt next-generation observability. Splunk users are often challenged by using products that provide fragmented observability, hampering their ability to modernize their environments.
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By Chris Blaisure,
We are excited to announce the launch of Elastic's Support Assistant. This blog takes you through a tour of our latest generative AI tool and some common scenarios where it can help with your own use of Elastic technology.
In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.
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By Hemant Malik,
To meet customer needs for scale, speed, and precision, IBM partners with Elasticsearch to deliver retrieval augmented generation (RAG) capabilities that can be seamlessly integrated into the IBM watsonx Assistant’s new Conversational Search feature. Customers using IBM watsonx Assistant and watsonx Orchestrate can now build conversational AI assistants grounded on their company data with comprehensive search capabilities with RAG.
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By Gagan Singh
Elastic has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. The need for observability platforms continues to evolve as operations teams deal with increased complexity and exponential data growth. Emerging trends like generative AI are driving a paradigm shift in proactive root cause detection and resolution.
Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).
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By Nick Chow,
In 8.15, great search results are even more accessible for our customers. Our latest release brings semantic reranking, additional vector search tools, and more third-party model providers and promotes our native Learning to Rank (LTR) to generally available. And now search is more performant than ever with additional speed and efficiency improvements.
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By Alex Fedotyev,
Elastic Observability 8.15 announces several key capabilities: New and enhanced native OpenTelemetry capabilities: Elastic AI Assistant enhancements: Large language model (LLM) observability for Azure OpenAI: Elastic Observability now provides deep visibility on the usage of the Azure OpenAI Service. The integration includes an out-of-the-box dashboard that summarizes the most relevant aspects of the service usage, including request and error rates, token usage, and chat completion latency.
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By Valerio Arvizzigno,
Tens of thousands of companies in the world, across almost all industries, from midsize to large enterprises, rely on robust, efficient complex SAP systems to power their core operations. From sales to finance, from warehouse management to production planning and execution, business’s continuity, revenue, and customer success highly depend on processes running on enterprise resource planning (ERP) architectures.
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By Elastic
Activate a world of possibility with Search AI. Elastic powers AI to give you real-time, forward-thinking flexibility. When data turns into action, you don't have to wait for the world to turn. You can drive it's motion. With Elastic's search AI you can unleash the possibilities of your data. And transform your world.
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By Elastic
Stack Overflow puts Elastic at the heart of OverflowAI powered by Azure OpenAI, a new search tool that enables developers to retrieve trusted information from a knowledge base of 60 million questions and answers. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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By Elastic
Don’t make your customers miserable… combine the precision of search with the intelligence of AI to empower your customers to self-serve through frictionless experiences.
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By Elastic
NOBODY PANIC! The Elastic AI assistant’s got you! Transform problem identification and resolution, and eliminate manual data chasing across silos with an interactive assistant that delivers context-aware information for SREs. Additional Resources.
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By Elastic
Learn how Discover Financial Services helps its customers achieve a better financial future by partnering with Elastic. Discover utilizes Elastic Observability for its centralized logging platform. Users now have improved monitoring capabilities to help solve issues.
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By Elastic
Learn more about Cohere, and their journey in using Elasticsearch to build an internal AI chat assistant. Explore the potential of Elastic-Cohere integrations, illustrated by real customer examples.
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By Elastic
Large language models (LLMs) are a deep learning algorithm that can perform a variety of natural language processing tasks. This video breaks down what LLMs are, how they work, and how you can use them in your daily life to boost your productivity.
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By Elastic
In this quick overview, discover how the Elastic Observability AI Assistant can streamline your operations and significantly reduce Mean Time to Recovery (MTTR). In just a minute or two, we'll highlight the key features and benefits of integrating AI into your observability strategy. Perfect for IT professionals and SREs who are looking for an efficient solution to improve system uptime and performance. Watch now to learn how AI can make a real difference in your response times!
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By Elastic
Welcome to our quick overview of Performance Optimization with Elastic Observability! In this video, we explore the basics of how Elastic Observability can enhance your system’s performance monitoring and management. Discover key features that help you keep your applications running smoothly and efficiently, without deep diving into complexities. Perfect for anyone looking to get a quick grasp of what Elastic Observability can offer.
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By Elastic
Welcome to our quick guide on enhancing your incident management and troubleshooting capabilities using Elastic Observability. In this brief overview, we'll highlight how Elastic Observability can streamline your operations and help you quickly pinpoint and resolve issues. Whether you're looking to improve your response times or just want a snapshot of what Elastic can offer, this video is the perfect starting point.
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By Elastic
Learn how you can use Elastic Stack and X-Pack features, from role-based access control to data encryption, to get your Elasticsearch data ready for GDPR.
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Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.
The Elastic Stack:
- Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
- Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
- Beats is a platform for lightweight shippers that send data from edge machines to Logstash and Elasticsearch.
- Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.
Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads.