We’re excited to share an end-to-end demo that showcases how Elastic empowers developers to build rich search solutions. The demo provides mechanisms to run in your own environment, to ingest data into Elastic Enterprise Search using the Enterprise Search Python Libraries, and to create a modern UI in React, using the free and open source tool Search UI.
Speed is everything in capital markets. Success in the front and back office is dependent on the ability to provide accurate, fast responses to challenging questions. Over the past several decades, there has been a tremendous increase in the amount of information available to market participants, and trade transactions are now being carried out at a very rapid pace. In parallel, the technology which capital markets firms are developing is becoming increasingly complex.
The telecom industry is at an inflection point today, where the endless possibilities of 5G meet the growing challenges of accelerating 5G monetization. This is particularly true for telecom providers who have pumped billions of dollars in building 5G networks. The telecom cloud market is expected to cross USD 74 billion by 2026.
Adoption of AWS Lambda functions in cloud-native applications has increased exponentially over the past few years. Serverless functions, such as the AWS Lambda service, provide a high level of abstraction from the underlying infrastructure and orchestration, given these tasks are managed by the cloud provider. Software development teams can then focus on the implementation of business and application logic.
As more organizations adopt cloud-native technologies and microservices-based architectures, application troubleshooting is becoming increasingly complex. With so many moving parts in an environment that is both dynamic and distributed, it is difficult to get the full picture. Yet complete visibility is crucial in order to find and fix issues quickly — especially ones that impact the bottom line.
Elastic Enterprise Search 8.2 introduces new ways to ingest, search, and monitor data, giving developers the productivity benefits of using out-of-the-box capabilities along with the power and flexibility inherent in Elastic Stack tools. Operators also gain even more transparency for managing search experiences and observing search performance. For a visual walkthrough of some of the key capabilities in 8.2, check out the latest installment of What’s new in Enterprise Search on YouTube.
Let's start with the bottom line: When we upgraded to Elasticsearch 7.15 last year, our internal observability clusters saw a reduction in inter-node traffic from 464TB to 204.5TB per day. We monitored this reduction through subsequent upgrades and noticed its impact on our data transfer and storage costs. So here it is: upgrading saved Elastic $3,500 per day, or approximately $100,000 a month, or $1.2 million annually.
Two recent studies conducted by Nucleus Research, focused on how a global telecommunications provider, and multi-line insurance company realized quantified business value through Elastic. The companies that were studied saw great levels of satisfaction from deploying Elastic Cloud. Through their adoption they were able to increase the maturity of their tech stack and circumvent prior limitations in scalability.
The one certainty you will find in IT, developer, and SRE roles is that things always change! One hot topic in DevOps communities is observability. A long word, you may be wondering what it really means and how you can add it to your skillset. Here’s a quick primer to get you going on your path to observability.
