OpenTelemetry (OTel) is steadily gaining broad industry adoption. As one of the major Cloud Native Computing Foundation (CNCF) projects, with as many commits as Kubernetes, it is gaining support from major ISVs and cloud providers delivering support for the framework. Many global companies from finance, insurance, tech, and other industries are starting to standardize on OpenTelemetry.
In a previous post, we talked about synonyms and their importance for providing a great search experience. Using synonyms improves search results by: Search results need to evolve over time. New items go on sale, new trends change what users search for, and new terms become part of a search domain. Our search experience must evolve as well. As part of evolving our search experience, it's important to keep our synonyms updated.
We’re excited to announce query rules in Elasticsearch 8.10! Query rules allow you to change a query based on the query terms they are searching for, or based on context information provided as part of the search query.
Elastic Search 8.10 brings programmatic personalization of your search experiences to a new level while expanding the open code integration catalog with knowledge base and communication systems connectors. These new features allow customers to: Elastic Search 8.10 is available now on Elastic Cloud — the only hosted Elasticsearch® offering to include all of the new features in this latest release.
Application performance management (APM) has moved beyond traditional monitoring to become an essential tool for developers, offering deep insights into applications at the code level. With APM, teams can not only detect issues but also understand their root causes, optimizing software performance and end-user experiences. The modern landscape presents a wide range of APM tools and companies offering different solutions. Additionally, OpenTelemetry is becoming the open ingestion standard for APM.
Disjunctive queries (term_1 OR term_2 OR... OR term_n) are extremely commonly used, thus they are getting a lot of attention when it comes to improving query evaluation efficiency. Apache Lucene has two main optimizations for evaluating disjunctive queries: BS1 on the one hand for exhaustive evaluation, and MAXSCORE and WAND on the other hand to compute top hits.
In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?
In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?
Elastic Cloud Observability is the premiere tool to provide visibility into your running web apps. Google Cloud Run is the serverless platform of choice to run your web apps that need to scale up massively and scale down to zero. Elastic Observability combined with Google Cloud Run is the perfect solution for developers to deploy web apps that are auto-scaled with fully observable operations, in a way that’s straightforward to implement and manage.
Vector search is a powerful tool in the information retrieval tool box. Using vectors alongside lexical search like BM25 is quickly becoming commonplace. But there are still a few pain points within vector search that need to be addressed. A major one is text embedding models and handling larger text input.
