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.

Modalova is an up-and-coming French ecommerce marketplace offering a curated selection of top brands like ASOS, Tommy Hilfiger, Michael Kors, and Adidas. Modalova's mission is to bring the best in men's and women's fashion on one site to simplify the online shopping experience — no more opening 35 tabs to find the right article. No more downloading 50 different apps to find the right size — it's all in one location!

“When you peel back business issues, more times than not, you will find that the root cause is directly tied to data problems,” says Matthew Minetola, CIO at Elastic®. In today's world, all companies, new and old, are awash in data from multiple sources — stored in multiple systems, versions, and formats — and it’s getting worse all the time.

Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.

In previous blogs, we explored how Elastic Observability can help you monitor various AWS services and analyze them effectively: One of the more heavily used AWS container services is Amazon ECS (Elastic Container Service). While there is a trend toward using Fargate to simplify the setup and management of ECS clusters, many users still prefer using Amazon ECS with EC2 instances.

As we navigate our fast-paced digital era, organizations across various industries are in constant pursuit of strategies for efficient monitoring, performance tuning, and continuous improvement of their services. Elastic® and Kyndryl have come together to offer a solution for Mainframe Observability, engineered with an emphasis on organizations that are heavily reliant on mainframes, including the financial services industry (FSI), healthcare, retail, and manufacturing sectors.

IDC published a Market Perspective report discussing implementations to leverage Generative AI. The report calls out the Elastic AI Assistant, its value, and the functionality it provides. Of the various AI Assistants launched across the industry, many of them have not been made available to the broader practitioner ecosystem and therefore have not been tested. With Elastic AI Assistant, we’ve scaled out of that trend to provide working capabilities now.

As a leader in Security Analytics, we at Elastic are often asked for our recommendations for architectures for long-term data analysis. And more often than not, the concept of Limitless Data is a novel idea. Other security analytics vendors, struggling to support long-term data retention and analysis, are perpetuating a myth that organizations have no option but to deploy a slow and unwieldy data lake (or swamp) to store data for long periods of time. Let’s bust this myth.

Large Language Models (LLMs) can give notoriously inconsistent responses when asked the same question multiple times. For example, if you ask for help writing an Elasticsearch query, sometimes the generated query may be wrapped by an API call, even though we didn’t ask for it. This sometimes subtle, other times dramatic variability adds complexity when integrating generative AI into analyst workflows that expect specifically-formatted responses, like queries.