Optimizely, a digital experience platform (DXP) provider, announced its new Orchestrate solution, combining its three products: Content Marketing (CMP), Content Management (CMS), and Digital Asset Management (DAM), into a comprehensive offering. The Orchestrate solution transforms the way marketing teams work by letting them manage the entire content lifecycle and deliver better digital experiences faster.
Optimizely’s new product integration will break down complexities and siloes, producing more efficient content experiences and allowing marketers to publish more strategic, individualized content, faster. Orchestrate enables the CMS to combine upstream content creation processes with downstream publishing capabilities through a unified solution for the entire content lifecycle, allowing teams to:
- Plan & collaborate – Build campaign plans, propose ideas, assign tasks, and schedule work to be completed
- Create, preview, & publish – Create content, preview drafts, and publish to the CMS—all from one centralized platform that’s purpose-built for marketers’ needs
- Manage across channels – Manage content in one place and power digital experiences across any mix of channels and technologies
- Store & access – Easily repurpose content by dragging-and-dropping from a full media library directly from within the context of the CMS page builder
- Target & personalize – Test different versions of content, identify customer segments, and customize content experiences.
Confluent, Inc., a data streaming provider, announced a new capabilities for Stream Governance, a managed governance suite for Apache Kafka and data in motion. With Stream Governance Advanced, organizations can resolve issues within complex pipelines easier with point-in-time lineage, discover and understand topics faster with business metadata, and enforce quality controls globally with Schema Registry. With more teams able to safely and confidently access data streams, organizations can build critical applications faster. New capabilities include:
- Point-in-time playbacks for Stream Lineage: Troubleshooting complex data streams is now faster with the ability to understand where, when, and how data streams have changed over time. Point-in-time lineage provides a look back into a data stream’s history.
- Business metadata for Stream Catalog: Improve data discovery with the ability to build more contextual, detail-rich catalogs of data streams. Alongside tagging, business metadata gives individual users the ability to add custom, open-form details represented as key-value pairs to entities they create such as topics.
- Exploring the catalog is now easier with GraphQL API.
- Globally available Schema Registry for Stream Quality: With global availability of Schema Registry to 28 regions, teams have flexibility to manage schemas alongside their Kafka clusters to maintain compliance requirements and data sovereignty.
Elastic announced updates across the Elastic Search Platform, a data analytics platform for search-powered solutions, including:
- Simplifying the Elastic Cloud on AWS Experience Enabling customers to ingest data from any AWS service into Elastic Cloud on AWS directly from the AWS Marketplace with just three clicks.
- Improving search relevance with machine learning-based hybrid scoring
- Combining traditional keyword scoring with vector search scoring capabilities.
They also announced plans to develop stateless Elasticsearch, a new, fully cloud-native architecture. The stateless architecture will fully decouple compute and storage services, enabling customers to store and search all of their data in stateless object storage services such as Amazon S3, Azure Blob Store, and Google Cloud Storage.
A private beta version of a new Universal Profiling and additional synthetic monitoring capabilities to provide visibility into how application code and infrastructure are performing at all times, in production and across a wide range of languages, in both containerized and non-containerized environments was introduced, as well as a new managed testing infrastructure within Elastic Uptime to enable customers to schedule tests from a global network of testing agents for greater visibility into regional variances, also in beta.