In 2022, it’s hard to find places in the business and technology ecosystem where performance is not measured, where lots of data is not collected and where insights are not analyzed to improve operational and business performance and trace accountability.
Elastic Enterprise Search is a product that uses the power of Elasticsearch over datasets — so that data will always be accessible, no matter its location. Enterprise Search leverages Kibana and Elasticsearch to let you index all your data. Enterprise Search is composed of two distinct sets of features: App Search and Workplace Search. App Search provides APIs and dashboard controls for building powerful search experiences.
As businesses accelerate digital transformations and cloud adoption to better serve customers and employees in the face of the global pandemic, operational complexity has also mounted. To untangle these complexities and enable executive visibility into IT ecosystem , business leaders are increasingly looking to observability solutions as a strategic investment.
I bet we all have heard so much about eBPF in recent years. Data shows that eBPF is quickly becoming the first choice for implementing tracing and security applications, and Elastic is also working relentlessly on supercharging our security solutions (and more) with eBPF. However, one major challenge is that the eBPF ecosystem lacks tooling to make developers' lives easier. eBPF programs are written in C but compiled for a specific ISA later executed by the eBPF Virtual Machine.
ING Group is a Dutch-based multinational banking and financial services corporation serving more than 38 million customers globally. It’s one of the biggest banks in the world, and consistently ranks among the top 30 largest banks globally. Our 20-year-old COBOL-based financial messaging system — which provides electronic instructions to enable financial transactions between banks and customers — is slowly becoming obsolete and difficult to integrate.
Today we had an exciting announcement at Elastic. Below is part of an internal email that we shared with our fellow Elasticians. First, hear from Shay: Almost two years ago, I decided to move to Israel because it was better for my family (that took time to happen, Covid!). At that time, I started thinking about how to do what is right for my family while being able to be a meaningful part of Elastic. Those of you who know me, know that Elastic is my life’s work. And we have only just begun.
As we kick off a new year, so does new and refreshed thinking in the public sector. With another full year of lessons learned from the pandemic, public sector leaders will apply these insights in the way they execute their documented data strategies. Synthesizing what we see and hear from our stakeholders, below are five of the needle movers we see in public sector data strategy execution.
With the Elastic 7.16 release, Osquery Manager is now generally available for Elastic Agent, making it easier than ever to deploy and run Osquery across your environments. By collecting Osquery data and combining it with the power of the Elastic Stack, you can greatly expand your endpoint telemetry, enabling enhanced detection and investigation, and improved hunting for vulnerabilities and anomalous activities.
Government data strategies lay a promising groundwork for how data will be used to drive more informed decision making internally and more streamlined public services externally. A commonality between these strategies is the need for improved role-based data sharing and data re-use. The sticking point, however, is in the way to implement data sharing when there are known silos across and within various departments.
The payments industry has evolved dramatically over the past decade. Traditional payment vehicles still make up the majority of transaction flows, but new apps and startups continue to grow in popularity, and billions of dollars move through their systems.
