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By Chris Blaisure
Welcome to the Inside Elastic blog series, where we showcase Elastic's internal operations solving real-world business challenges. This specific series will shed light on our journey to integrate generative AI into our customer success and support operations, providing you with a behind-the-scenes look at our process. We’re blogging about this capability as we’re building it, and we’re excited for you to join the ride!
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By Bill Wright
In today's digital age, data is the lifeblood of modern organizations — and the US government is no exception. As agencies grapple with the ever-increasing volume and complexity of data, it is imperative to adopt a standardized approach to monitoring, analyzing, and understanding the behavior of complex IT systems. This is where OpenTelemetry, an open-source observability framework, comes into play.
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By Michael Calizo
Bolster your organization’s observability and security capabilities on one platform with AI, anomaly detection, and enhanced attack discovery Organizations in today’s digital landscape are increasingly concerned about service availability and safeguarding their software from malicious tampering and compromise. The traditional security and observability tools often operate in silos, leading to fragmented views and delayed responses to incidents.
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By Tom Grabowski,
Elastic Observability 8.14 announces the general availability (GA) of key Service Level Objective (SLO) management capabilities, additional enhancements to the Elastic AI Assistant for Observability, alerting improvements, and Universal Profiling for.NET. Enhanced SLO management capabilities: Enhanced AI Assistant capabilities.
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By Yaru Lin,
We're committed to pushing the boundaries of search development and focusing on empowering search builders with powerful tools. With our latest updates, Elastic becomes even more potent for customers dealing with vast amounts of data represented as vectors. These enhancements promise faster speeds, reduced storage costs, and seamless integration between software and hardware.
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By Woody Walton
I married into a family of geologists and rock and gem enthusiasts, and that bit of serendipity has added immensely to my life. Whenever we go on family hike excursions, I learn so much more about the landscape than I could have ever hoped to from my own educational path, and as a bonus my home gets adorned with tastefully and expertly chosen specimens from around the world.
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By Alvin Richards,
Today we are announcing the availability of Elasticsearch Serverless in technical preview, which features: Early access customers have used this new self-service option for a range of use cases — from internal analytics to building generative AI applications and conducting machine learning tasks.
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By Alexander Wert,
As Elastic continues its commitment to OpenTelemetry (OTel), we are excited to announce the Elastic distribution of the OTel Java Agent. In this blog post, we will explore the rationale behind our unique distribution, detailing the powerful additional features it brings to the table. We will provide an overview of how these enhancements can be utilized with our distribution, the standard OTel SDK, or the vanilla OTel Java agent.
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By Bahubali Shetti
As an SRE, analyzing applications is more complex than ever. Not only do you have to ensure the application is running optimally to ensure great customer experiences, but you must also understand the inner workings in some cases to help troubleshoot. Analyzing issues in a production-based service is a team sport. It takes the SRE, DevOps, development, and support to get to the root cause and potentially remediate. If it's impacting, then it's even worse because there is a race against time.
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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
Welcome to a quick overview of how Elastic Observability can help SREs tackle the elusive unknown/unknowns in their system logs. In just a minute or two, this video will introduce you to the basic strategies and tools that Elastic provides to enhance your site reliability through smarter data insights. Perfect for professionals looking to quick-start their monitoring capabilities without getting overwhelmed. Dive in and discover how to transform your logs into actionable insights!
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By Elastic
In this overview, we'll introduce you to the key features of Elastic Observability, focusing on custom alerts, service level objectives (SLOs), and anomaly detection. Whether you're managing infrastructure, ensuring service reliability, or overseeing software performance, these tools are essential for maintaining system health and efficiency. This video provides a quick glimpse into how Elastic Observability can streamline your monitoring tasks and alert you to issues before they impact your services. Perfect for those looking to enhance their observability strategy.
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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.