Elastic, the company behind Elasticsearch and the Elastic Stack, announced new capabilities across its Elastic Enterprise Search and Observability solutions, helping customers consume Elastic services more intuitively, onboard more data, and power deeper analysis and insights from that data.
Additionally, Elastic users benefit from new, enhanced capabilities in Elastic Cloud, which is now available in 35 regions and offers easier purchasing options across all major public cloud providers.
The updates across the Elastic solutions include:
■ Elastic Stack
Delivering enhanced navigation, dashboard drilldowns, and visualizations with:
- A new side navigation in Kibana organized around use cases that groups the apps that matter to users under solutions (Observability and Security) built around users' needs.
- More powerful dashboards with new drilldown capabilities and easier authoring in Kibana, delivering a streamlined process for adding and updating dashboard visualizations and metrics.
■ Enterprise Search
Equipping admins with powerful tools to manage modern search experiences with:
- Enterprise authentication mechanisms seamlessly integrated with document-level authorization, bringing the combined power of both SAML-based and document-level authentication for a frictionless, secure, personalized, and scalable search experience.
- Configurable documents view in App Search to keep tabs on ingested data for more dynamic interactions with that data by searching, sorting, and filtering the content as it's ingested, directly inside the App Search console without having to switch between screens.
■ Observability
Providing expanded visibility, monitoring, and intelligent service maps with:
- Complete visibility into Google Cloud operations with an expanded Stackdriver integration that supports metrics collection from the Google Cloud operations suite, providing easy monitoring in the Elastic Stack to optimize and streamline cloud operations.
- Certificate validity monitoring in Elastic Uptime to automatically track certificate validity and expiration dates on monitored hosts / services — users can view all the certificates detected from their deployed monitors on a single page in the Uptime app, along with relevant information like issuing authority and expiration date.
- Machine-learning powered service maps that provide health insights via status indicators in Elastic APM that automatically pull data and color service nodes red, yellow, or green based on the severity of the anomaly score tied to the service performance.
■ Elastic Cloud
Simplifying operations, expanding deployment options, and streamlining billing for Elastic Cloud with:
- Support for managing Elastic Cloud workloads using an API or command line interface, as well as the introduction of a dedicated coordinating node that combines ingest and query coordination into a single node, helping to scale with high ingest and query loads.
- More deployment options across regions and cloud service providers, with service now available in Finland, London, Netherlands, Sao Paulo, Singapore, South Carolina, Taiwan, and Tokyo.
- AWS GovCloud in beta and FedRAMP Moderate 'In-Process' certification, providing increased support for public sector workloads.
"Our customers are looking to get the most from their data - from ingestion to analysis and visualization - and with this launch, users benefit from more enhanced usability and deeper analytics across the Elastic Enterprise Search, Observability and Security solutions," said Kevin Kluge, SVP, Engineering, Elastic. "We've introduced ingest management, which will make it vastly easier to manage thousands of agents in Elastic deployments. We've also continued to build on the modern, unified search experience provided by Workplace Search, and have simplified and expanded our cloud operations, with Elastic Cloud now available in 35 regions globally. All of the enhancements coming out of this launch equip our users with the innovative solutions they need to solve their business challenges."
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...