Elastic, the company behind Elasticsearch and the Elastic Stack, announced the general availability of version 7.0 of the Elastic Stack.
This release delivers several foundational changes including big improvements to query speed and relevance with the introduction of new query types in Elasticsearch, a fully revamped cluster coordination framework that hardens resiliency, and a completely redesigned Kibana interface that simplifies the user experience and navigation. Elastic Stack 7.0 is immediately available for download, or users can spin up fully managed deployments on the Elasticsearch Service on Elastic Cloud.
Kibana 7.0 delivers on a fresh user interface that embraces a lighter, cleaner, and more minimalist design aesthetic. The goal of the redesign is to put the content and data at the center of the user experience. The new design builds on months of engineering and design effort on the new Elastic UI framework, a set of consistent and reusable UI components that were first introduced in version 6.2. The result is a more uniform and consistent user experience across all touch points in Kibana. As another benefit of these changes, Kibana dashboards now have a responsive design, which is the first step in dramatically improving usability on mobile devices.
Kibana 7.0 also delivers on a much-requested feature: dark mode for all of Kibana. Previously, dark mode was limited to Kibana dashboards. By extending dark mode to all of Kibana, Elastic users that deploy Kibana in low-light environments, such as NOCs and SOCs, can enjoy an enhanced visual experience, with better contrast and improved readability of text.
Relevance and speed are the cornerstones of most search experiences. And Elasticsearch 7.0 introduces several foundational features that improve both.
- Faster top k queries: In many search use cases, quickly seeing the top k (say 20) results on a query matters much more to the user than the exact hit count (i.e., total number of results matching the query). For example, if someone is searching for a product on an e-commerce website, they are much more interested in the 10 most relevant results than the other 120,897 results that matched their search query. Elasticsearch 7.0 (and Lucene 8.0) implements a new algorithm (Block-Max WAND) that provides a huge speed boost when retrieving top hits.
- Intervals queries: Some search use cases, such as legal and patent search, introduce the need to find records in which words or phrases are within a certain distance from each other. Intervals queries in Elasticsearch 7.0 introduce a brand new way of structuring such queries and are significantly simpler to use and define compared to the previous methods (span queries). Intervals queries are also much more resilient to edge cases compared to span queries.
- Function score 2.0: Custom scoring is the bread and butter of advanced search use cases, where one wants finer control over relevancy and results ranking. Elasticsearch has provided the ability to do this since its early days. 7.0 introduces the next generation of function score capability, providing a simpler, modular, and more flexible way to generate a ranking score per record. The new modular structure allows users to mix and match a set of arithmetic and distance functions to construct arbitrary function score calculations, giving them more control over how results are scored and ranked.
Scale and resiliency have been central themes in Elasticsearch since the very beginning. The cluster coordination layer, called Zen Discovery, has been a key component of that resilient design. With Elasticsearch 7.0, Elastic has completely rebuilt this cluster coordination layer to be faster, safer, and easier to use. 7.0 also includes a number of changes that reduce the likelihood of human error and provide clearer choices when recovering from catastrophic failures. The ground-up rebuild of the cluster coordination layer was a huge accomplishment — it’s not easy to improve reliability, performance, and user experience all at once, especially in such a central component. Most importantly, the new cluster coordination layer provides strong building blocks for the future of Elasticsearch, ensuring that Elastic can build functionality for even more advanced use cases to come.
Another improvement to resiliency in 7.0 is the introduction of the real memory circuit breaker, which much more accurately detects unserviceable requests made to a node and prevents them from making an individual node unstable. This change significantly improves the overall node and cluster reliability.
Smoother Zoom in Elastic Maps with Geotile Grid
Geo is an integral part of most search experiences, and it has been an area of constant engineering investment for Elastic. Elastic added support for ingesting and querying geo data in very early versions of Elasticsearch, and then recently moved geo_point and geo_shapes to Bkd-backed storage structures, with significant storage and query performance improvements (in some cases by 25x). On the visual exploration end, the introduction of Elastic Maps in version 6.7 provided a dramatically improved way to visually map, explore, and query location data.
With 7.0, the evolution of the geo story in the Elastic Stack continues with the addition of a new geotile_grid aggregation in Elasticsearch to handle (geo) map tiles in a way that allows a user to zoom in and out on the map without altering the shape of the result data. Elastic Maps in 7.0 is already using this new aggregation. Prior to this change, the fringes of the shape could slightly change with the change in the zoom level because the rectangular tiles would change orientation at different zoom levels. This level of accuracy is important, whether the user is protecting a network from attackers, investigating slow application response times in specific locations, or tracking a relative hiking the Pacific Crest Trail.
Whether it’s infrastructure metrics, system audit logs, network traffic, or a rover on Mars, time series data is central to how many people use the Elastic Stack. The ability to precisely order and correlate events across multiple systems and services is key. Until now, Elasticsearch only stored timestamps with millisecond precision. 7.0 adds a few zeroes, bringing this to nanosecond precision, which gives users with high-frequency data collection needs the precision required to accurately store and sequence this data. The change was made possible by migrating from the historical JODA library to the official Java time API in JDK 8.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...