Elastic Announces the Beta of New Universal Profiling and Additional Synthetic Monitoring Capabilities to Enhance Cloud-Native Observability

Rhea-AI Summary

Elastic (NYSE: ESTC) has unveiled new features in its Elastic Observability solution, enhancing application and infrastructure visibility for customers.

This includes Universal Profiling, providing deep insights with minimal overhead, enabling performance optimization and cost savings. Early tests show potential CPU savings of 10% to 20% for applications.

The introduction of new synthetic monitoring capabilities allows for proactive user interaction simulations to quickly identify performance issues, streamlining operations for development teams.

Positive

• Launch of Universal Profiling with less than 1% CPU overhead.
• Potential CPU savings of 10% to 20% for production applications.
• New synthetic monitoring features enhance user experience and operational efficiency.

Negative

• None.

Elastic’s Full-Suite, Hybrid and Multi-Cloud Observability Solution Provides Customers with Frictionless Application Performance Management and Infrastructure Performance at Scale

• Providing deep visibility for cloud-native production environments with zero-instrumentation and low overhead, with always-on Universal Profiling™ in beta
• Introducing new capabilities to cloud- and developer-first synthetic monitoring in beta

 

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the company behind Elasticsearch, today announced new features and enhancements across its Elastic Observability solution, enabling customers to gain deeper and more frictionless visibility at all levels of applications, services, and infrastructure.

Innovations across the Elastic Observability solution include:

Providing effortless, deep visibility for cloud-native production environments with zero instrumentation and low overhead, with always-on Universal Profiling

Elastic’s new Universal Profiling capability, now in private beta, provides visibility into how application code and infrastructure are performing at all times in production, across a wide range of languages, in both containerized and non-containerized environments.

Modern cloud-native environments are increasingly complex, creating infrastructure and application blind spots for DevOps and SRE teams. Engineering teams typically use profiling to spot performance bottlenecks and troubleshoot issues faster. However, most profiling solutions have significant drawbacks limiting adoption in production environments:

• Significant cost and performance overhead due to code instrumentation
• Disruptive service restarts
• Inability to get visibility into third-party libraries

Universal Profiling is lightweight and requires zero instrumentation. Enabled by eBPF-based technology, it overcomes the limitations of other profiling solutions by requiring no changes to the application code, making it easier to quickly identify performance bottlenecks, improve time to resolve problems, and reduce cloud costs.

The low overhead of Universal Profiling, less than 1% CPU overhead, makes it possible to deploy in production environments to deliver deep and broad visibility into infrastructure and cloud-native application performance at scale.

For a production application running across a few hundred servers, early results show code optimization savings of 10% to 20% of CPU resources, resulting in cost savings and a reduction of CO² emissions per year.

Introducing new capabilities to cloud- and developer-first synthetic monitoring

Synthetic monitoring enables teams to proactively simulate user interactions in applications to quickly detect user-facing availability and performance issues and optimize the end-user experience.

Designed to reduce manual and repetitive tasks for development and operations teams, Elastic is introducing the beta of the following innovative synthetic monitoring capabilities available within the current Uptime application for Elastic Cloud customers:

• A cloud-based global testing infrastructure that enables the ability to schedule tests from an expanding global network of synthetic monitors for better visibility into regional variances in user experience.
• Automated creation of synthetic monitors during functional testing when code is released to production. Creating, editing, and deleting synthetic monitors entirely in code reduces the inefficiency of duplicating functional tests.
• Deploying monitoring scripts via CI/CD pipelines to ensure tests and applications are aligned.
• Running synthetics agent locally, making it easier to create and debug monitoring scripts.
• A point-and-click script recorder, enabling non-technical users to quickly create a user journey through an application and turn that into a synthetic monitor. The recorder speeds up the process of creating monitoring scripts for developers by providing a framework that can be edited locally.

Additionally, a new and intuitive user interface to simplify workflows and make it easier to identify and quickly troubleshoot problems in production is currently under development and planned for future availability.

For more information read the Elastic blog about what’s new in Elastic Observability. Additional information about how Elastic Universal Profiling provides visibility into how application code and infrastructure are performing at all times can be found here.

Supporting Quotes

• “Elastic Observability is an integral part of our infrastructure that enables us to deliver outstanding customer experiences while complying with the latest regulations,” said Kartik Deshpande, Software Engineer, WePay. “Elastic offers a flexible, cost-effective way to simplify and strengthen compliance maintenance by making short-term logging data available while integrating with our longer-term cloud storage infrastructure.”
• “The capabilities announced today provide deep, frictionless observability into application and infrastructure performance that enable customers to gain even greater value from their data,” said Sajai Krishnan, General Manager, Observability, Elastic. “Elastic’s continued focus on innovation extends to Universal Profiling, which helps customers understand their application’s CPU consumption hotspots, provides opportunities to optimize applications for real savings in production, plus a reduced carbon footprint.”

About Elastic:

Elastic (NYSE: ESTC) is a leading platform for search-powered solutions. We help organizations, their employees, and their customers accelerate the results that matter. With solutions in Enterprise Search, Observability, and Security, we enhance customer and employee search experiences, keep mission-critical applications running smoothly, and protect against cyber threats. Delivered wherever data lives, in one cloud, across multiple clouds, or on-premise, Elastic enables 19,000+ customers and more than half of the Fortune 500, to achieve new levels of success at scale and on a single platform. Learn more at elastic.co.

The release and timing of any features or functionality described in this document remain at Elastic’s sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

View source version on businesswire.com: https://www.businesswire.com/news/home/20221004005957/en/

Jennifer Malleo

Elastic Public Relations

PR-Team@elastic.co

Source: Elastic N.V.

FAQ

What is the latest feature announced by Elastic (ESTC) in their Observability solution?

Elastic (ESTC) announced new features in its Observability solution, including Universal Profiling for enhanced application performance visibility.

How does Universal Profiling benefit Elastic's customers?

Universal Profiling provides deep visibility with minimal overhead, leading to significant CPU resource savings and better performance optimization.

What kind of cost savings can Elastic's new features potentially provide?

Early results suggest that Elastic's Universal Profiling can save customers 10% to 20% in CPU resources, leading to cost reductions.

What are the new capabilities introduced for synthetic monitoring by Elastic (ESTC)?

Elastic introduced new synthetic monitoring capabilities that allow for proactive testing and optimization of user experience in applications.