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By Damien Mathieu
As we’ve already shared, Elastic is committed to helping OpenTelemetry (OTel) succeed, which means, in some cases, building distributions of language SDKs. Elastic is strategically standardizing on OTel for observability and security data collection. Additionally, Elastic is committed to working with the OTel community to become the best data collection infrastructure for the observability ecosystem.
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By Rob Kernutt,
In today's cloud-centric landscape, managing and optimizing cloud resources efficiently is paramount for cloud engineers striving to balance performance and cost-effectiveness. By leveraging solutions like Tines and Elastic, cloud engineering teams can streamline operations and drive significant cost savings while maintaining optimal performance.
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By Israel Ogbole,
Elastic Universal Profiling™ agent is now open source! The industry’s most advanced fleetwide continuous profiling solution empowers users to identify performance bottlenecks, reduce cloud spend, and minimize their carbon footprint. This post explores the history of the agent, its move to open source, and its future integration with OpenTelemetry.
As AI continues to grow and solve problems across countless industries, a key part of that tech is the ability to seamlessly bridge the gap between human language and machine understanding. This is where natural language processing (NLP) and large language models (LLMs) come in. They provide distinct and specialized approaches for connecting the power of human communication with software and machines. Or in simpler terms, NLP and LLMs enable us to have human-like conversations with software.
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By Jennifer Ellard,
Site reliability engineers (SREs) and security analysts — despite having very different roles — share a lot of the same goals. They both employ proactive monitoring and incident response strategies to identify and address potential issues before they become service impacting. They also both prioritize organizational stability and resilience, aiming to minimize downtime and disruptions.
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By Jonathan Simon
Recently, Elastic announced the AI Assistant for Observability is now generally available for all Elastic users. The AI Assistant enables a new tool for Elastic Observability providing large language model (LLM) connected chat and contextual insights to explain errors and suggest remediation.
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By Steve Gordon
Adopting OpenTelemetry native standards for instrumenting and observing applications If you develop applications, you may have heard about OpenTelemetry. At Elastic®, we are enthusiastic about OpenTelemetry as the future of standardized application instrumentation and observability.
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By Joel Höner,
Observability goes beyond monitoring; it's about truly understanding your system. To achieve this comprehensive view, practitioners need a unified observability solution that natively combines insights from metrics, logs, traces, and crucially, continuous profiling. While metrics, logs, and traces offer valuable insights, they can't answer the all-important "why." Continuous profiling signals act as a magnifying glass, providing granular code visibility into the system's hidden complexities.
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By Alvin Richards,
Elastic Search 8.13 extends the capabilities that enable developers to use artificial intelligence and machine learning models to create fast and elevated search experiences. Integrated with Apache Lucene 9.10, measured vector search performance has exceeded 2x in benchmarks, extending the sophistication of searches that can be performed in near real time.
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By Elastic
The Elastic Certified Observability Engineer exam tests your knowledge and skills on using the Elastic Stack to implement observability, from ingesting metrics, logs, APM and uptime data to a single data source, to analyzing and reacting to events using Kibana, machine learning, and alerting.
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By Elastic
Elasticsearch skills are in high demand, and there’s no better way to prove you’re an expert than becoming an Elastic Certified Engineer.
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By Elastic
Elasticsearch skills are in high demand, and there’s no better way to prove you’re an expert than becoming an Elastic Certified Engineer.
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By Elastic
As the leading global provider of secure financial transactions and payments, it's vital for SWIFT to stay relevant. With more than 45 million messages flowing through its systems every day and being at the heart of the financial industry, SWIFT is at the forefront of secure, frictionless financial services including sanctions screenings, compliance analytics, KYC (Know Your Customer) registry, and payment controls.
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By Elastic
Celebrate Black History Month with us as our panel explores how the arts have shaped their identities and empowered them to navigate their career paths with confidence and purpose.
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By Elastic
Discover the unique career paths of our panelists in the tech industry. Overcoming imposter syndrome, setting and achieving goals, and navigating the nuances of company culture can pose challenges in one's professional journey. However, these women will share their stories of resilience, overcoming obstacles, and self-advocacy that propelled them to where they are today.
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By Elastic
Home Shopping Europe (HSE), a prominent player in the European live commerce sector, has revolutionized its customer experience by leveraging Elastic on AWS. Elastic's AI and ML features in Elasticsearch deliver accurate and relevant search results. This enhancement has not only elevated click-through rates by 4% but has also significantly reduced maintenance time by 42%, marking a pivotal shift for HSE's e-commerce business.
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By Elastic
Our Source Code informs everything we do. It’s not some abstract mission statement, it’s part of our everyday lives. Here’s what parts of our #SourceCode resonate most with some Elasticians!
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By Elastic
Meet ES|QL – Elasticsearch's flexible, powerful, and robust piped query language. Our next-generation piped query language and engine is designed for seamless searching, filtering, aggregation, calculation, transformation, and visualization of your data. Join Elastic and our customer CDW for an exclusive unveiling of this game-changing tool that will redefine how you engage with your data. CDW’s security team tested ES|QL in beta for its security use case, and this is your chance to hear CDW’s initial impressions of adapting to a new syntax and the impressive results achieved – so far.
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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.