Operations | Monitoring | ITSM | DevOps | Cloud

Shadow an Indexed Field With a Runtime Field to Fix Errors

The video contains a demonstration of using a runtime field to fix errors in the indexed data. We intentionally index documents with some errors, and then use a runtime field to shadow the indexed field. The demonstration shows how a user querying the data or creating a visualization in Kibana Lens will see the correct information, which is calculated in the runtime field. This scenario allows for immediate fixing of errors in the indexed data by shadowing them with runtime fields (instead of reindexing). Runtime field is the name given to the implementation of schema on read in Elasticsearch.

Istio monitoring with Elastic Observability

Istio is an open source service mesh that can be used by developers and operators to successfully control, secure, and connect services together in the world of distributed microservices. While Istio is a powerful tool for teams, it's also important for administrators to have full visibility into its health. In this blog post, we'll take a look at monitoring Istio and its microservices with Elastic Observability. As the Istio docs mention.

Dynamically Created Runtime Fields

The video contains a demonstration of the creation of an index template that defines that unknown fields will be created as runtime fields. Documents are then indexed into an index that inherits from that template, and because these documents contain fields that are not defined in the template, the fields are automatically created as runtime fields (i.e. these fields are usable for search and aggregation, but are not indexed). Runtime field is the name given to the implementation of schema on read in Elasticsearch.

Elastic 7.11 released: General availability of searchable snapshots and the new cold tier, and the beta of schema on read

We are pleased to announce the general availability (GA) of Elastic 7.11. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana. This release enables customers to optimize for cost, performance, insight, and flexibility with the general availability of searchable snapshots and the beta of schema on read.

Elastic Stack alerting now generally available

We are thrilled to announce the general availability of alerting in the Elastic Stack with the release of 7.11. With deep integrations throughout our products and solutions, a laser focus on distinguishing signal from noise, and tie-ins to the third-party platforms you depend on like email, PagerDuty, ServiceNow, and Microsoft Teams, building, using, and acting on alerts in Elastic has never been more powerful.

Introducing the Elastic App Search web crawler

In Elastic Enterprise Search 7.11, we’re thrilled to announce the beta launch of Elastic App Search web crawler, a simple yet powerful way to ingest publicly available web content so it becomes instantly searchable on your website. Making content on these websites searchable can take several forms. Elastic App Search already lets users ingest content via JSON uploading, JSON pasting, and through API endpoints.

Getting started with runtime fields, Elastic's implementation of schema on read

Historically, Elasticsearch has relied on a schema on write approach to make searching data fast. We are now adding schema on read capabilities to Elasticsearch so that users have the flexibility to alter a document's schema after ingest and also generate fields that exist only as part of the search query. Together, schema on read and schema on write provides users with the choice to balance performance and flexibility based on their needs.

Runtime fields: Schema on read for Elastic

In 7.11, we’re excited to announce support for schema on read in the Elastic Stack. We now offer the best of both worlds on a single platform — the performance and scale of the existing schema on write mechanism that our users love and depend on, coupled with a new level of flexibility for defining and executing queries with schema on read. We call our implementation of schema on read runtime fields.

French Ministry of Armed Forces picks Elastic Cloud to fight COVID-19 and future pandemics

WaKED-CO (Watch of Knowledge on Emergent Diseases COVID-19) is an initiative launched in record time — deployed just a month after developing a prototype — under the leadership of the health service within the Ministry of Armed Forces in France. The project had one core mission: to make it easier to research the literature around the COVID-19 crisis.

Understanding and Debugging Applications Using the Service Map

Elastic APM is an application performance monitoring system built on the Elastic Stack. Elastic APM makes it easy to pinpoint and fix performance problems quickly. In this video, you will learn what distributed tracing is, how it can be used to better understand your environment, and how service maps give you a quick overview of your architecture.