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Elastic Observability 7.16: Ad hoc analytics and CI/CD pipeline visibility

Elastic Observability 7.16 introduces curated data exploration views for ad hoc analysis and further extends visibility into complex and distributed systems with the general availability (GA) of dozens of prebuilt Elastic Agent data integrations, observability tooling for continuous integration and continuous delivery (CI/CD) pipelines, and a new native data source integration with Amazon Web Services (AWS) FireLens. These new features allow customers to.

Monitoring Elastic Enterprise Search performance using Elastic APM

Elastic APM is a free, open and powerful observability tool that provides intelligence into application performance for a myriad of production applications (e.g., throughput, error rates, latency, resource usage, transaction traces). You can now enable Elastic APM integration to gain deep insight into the performance behaviors of your Elastic Enterprise Search deployment!

Embracing invokedynamic to tame class loaders in Java agents

One of the nicest things about Byte Buddy is that it allows you to write a Java agent without manually having to deal with byte code. To instrument a method, agent authors can simply write the code they want to inject in pure Java. This makes writing Java agents much more accessible and avoids complicated on-boarding requirements.

How to increase website engagement with search

The search experience on your website is often the key driver of visitor satisfaction. Even on well-designed, well-organized websites, visitors frequently resort to search to find the exact products, services, content, and information they need. In fact, many visitors go immediately to the search box. The quality of search results they get back, and the ease with which they can customize and filter those results, can play an outsized role in engagement, conversion, and customer loyalty.

Elastic Observability: Driving mean time to resolution to zero

At ElasticON Global 2021, Tanya Bragin, VP Product, Observability, and the Elastic Observability team showed how ongoing innovations continue to deliver actionable insights and faster root cause detection, reducing mean time to resolution (MTTR). The adoption of cloud, microservices, and ephemeral infrastructure is driving increased complexity, requiring an observability solution to provide end-to-end visibility.

Elastic Enterprise Search: Next-gen search experiences backed by ML

At ElasticON Global 2021, we shared a future view of Elastic Enterprise Search and how we’re continuing to build next-generation, machine learning-powered search experiences backed by the speed, scale, and relevance of Elasticsearch. We also highlighted the many ways we plan to keep building even more flexibility into our solutions.

Hard-to-find data is a key threat to digital transformation

CIOs can finally claim victory in information hide-and-seek with help of AI-powered search technology Why do companies still struggle to respond to a service complaint, recommend a product, or connect employees with the data they need to make critical decisions? These tasks are critical to retaining customers and engaging workers in a competitive marketplace, yet each relies on finding the right information, and that’s no easy feat.

Ingest data directly from Google Pub/Sub into Elastic using Google Dataflow

Today we’re excited to announce the latest development in our ongoing partnership with Google Cloud. Now developers, site reliability engineers (SREs), and security analysts can ingest data from Google Pub/Sub to the Elastic Stack with just a few clicks in the Google Cloud Console. By leveraging Google Dataflow templates, Elastic makes it easy to stream events and logs from Google Cloud services like Google Cloud Audit, VPC Flow, or firewall into the Elastic Stack.

The data-driven organization is within reach - if CIOs can tap the power of cloud

Most companies don’t really put their data to work. These strategies can enable IT leaders to maximize value of cloud investments and drive business growth The amount of data businesses store in the cloud is growing 33% per year. Yet more than two-thirds of that information is never used. This failure is undermining CIOs in critical ways.