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By David Hope
A look at the expanding roles of SREs and the new skills needed: cost management and AI Imagine the CTO walks into your team meeting and drops a bombshell: "We need to cut our cloud costs by 30% this quarter." As the lead SRE, this might cause a strong reaction — isn’t your job about ensuring reliability? When did you become responsible for the company's cloud bill? If you've had a similar experience, you're not alone. The role of site reliability engineers (SREs) is evolving fast.
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By Jay Shah
Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.
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By Bahubali Shetti,
Announcing the general availability of Elastic Observability on Elastic Cloud Serverless — a fully managed observability solution As organizations scale, an observability solution that can handle the complexity of distributed cloud environments and provide real-time insights often feels like an insurmountable challenge often due to data- and cost-related compromises.
In today’s data-driven world, organizations need to harness the power of real-time monitoring and analysis. Amazon CloudWatch native monitoring service provides a robust platform for tracking metrics, logs, and events from various Amazon Web Services (AWS) resources. However, when you need to extend your monitoring and analytics beyond CloudWatch, integrating CloudWatch with Elastic can be a game-changer.
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By Nick Chow
App Search will be discontinued in 9.0 versions, but Elasticsearch has everything you need to build powerful AI-powered search experiences. Here’s what you need to know. Recent advancements in generative AI are transforming user behavior, inspiring developers to create search experiences that are more dynamic, intuitive, and engaging.
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By David Hope
Lessons from the front lines: Challenges in your observability maturity journey In our previous blog, we explored the observability maturity spectrum — revealing that while only 7% of organizations consider themselves experts, the majority (43%) are actively working to improve their practices. We saw how mature organizations achieve better outcomes, from faster root cause analysis to reduced user-reported incidents.
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By Hemant Malik,
We are excited to collaborate with Dell on the white paper,Agentic RAG on Dell AI Factory with NVIDIA. The white paper is a design reference document for developers outlining strategies and solution components to implement agentic retrieval augmented generation (RAG) applications. It’s a design point for organizations across industries, specifically healthcare, for the agentic RAG framework decision-making with AI-driven data retrieval.
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By Chema Martinez
In the world of security, being able to use system telemetry of Windows hosts opens new possibilities for monitoring, troubleshooting, and securing IT environments. Recognizing this, Elastic has introduced new capabilities focused on Event Tracing for Windows (ETW) — a powerful Windows-native mechanism for capturing a vast array of system and application events. With these new additions, Elastic users can capture, analyze, and visualize Windows telemetry using the Elastic Search AI Platform.
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By David Hope
Lessons from the front lines: Moving to observability maturity What separates the observability experts from the novices? It's a question that's been on my mind lately, especially after diving into our recent 2024 State of Observability Survey of over 500 practitioners. In my past roles as a DevOps engineer and a site reliability engineer (SRE), I've seen firsthand how a mature observability practice can be the difference between sleepless nights and smooth sailing.
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By Greg Crist
As a trusted partner in the Microsoft ecosystem, Elasticsearch has achieved another significant milestone by becoming a Certified Software Solution for Microsoft Azure. This certification not only underscores our commitment to excellence but also reflects our dedication to delivering seamless data solutions for our customers.
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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: 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
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
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.