Cloudera Data Services 1.5.4 on private cloud is now generally available. This release delivers key new features across Cloudera Machine Learning, Cloudera Data Warehouse, Cloudera Data Engineering, and platform management, ensuring that customers can build cutting-edge analytics and AI solutions leveraging modern data architectures on cloud-native, on-premises infrastructure.  This feature-rich release boasts 100+ new features and a multitude of enhancements, so whether you’re a data scientist, data analyst, data engineer, or platform administrator, there is plenty to be excited about.  The full details of the release are published in the release notes and documentation.  In this post, I’d like to highlight three new features, and why they can be a game-changer for your business:  Natural language querying in Cloudera Data Warehouse. You no longer need to wrestle with complex SQL queries and cryptic database jargon. With this innovative feature, data analysts and business users can unlock hidden insights from their data troves by simply asking questions of the data. This also removes the skill barrier for business users to extract valuable data insights, meaning fewer bottlenecks and faster business outcomes. Model registry in Cloudera Machine Learning. Every data scientist and AI engineer knows that managing models is a headache - versioning the code is just the start - keeping track of parameters, weights, training data, performance metrics, dependencies, and environments can quickly become a tangled mess. That's why we're thrilled to introduce our new model registry, designed to tame the chaos. Say goodbye to convoluted tracking sheets, and hello to streamlined model management and serving. Security, resilience, and governance. While these may not sound like the flashiest of features, they're the foundation that ensures your data platform is rock-solid and your proprietary data is locked down tight. In this release, we've doubled down on security and resilience with automatic container in-cluster backups, password-protected ingress private key support, and a host of certifications. That’s only a few features from the list of 100+ so please check out the release notes to see all the features in this release. Here’s what you can expect to find in the release notes:  Platform features add improved data discovery and accessibility, while strengthening security, data protection, and platform reliability. These include:  Automatic backups turned on by default for ECS deployments with in-cluster backups Fresh install prerequisite checks (see more details here) to validate that the necessary storage space, virtual cores, connectivity ports, and other configurations are met.   Cloudera Data Warehouse adds improved data access and querying, enabling users to interact with data more efficiently for faster insights, with features such as:  Bind users are no longer required to retrieve users and groups. Cloudera Data Warehouse now uses Kerberos tickets to do this automatically. Support for custom pod sizing for Hive LLAP Virtual Warehouses, Hive Metastore (HMS) Service and improvements to the user interface Support in Cloudera Hue for LLM-based SQL generation (Tech Preview) Cloudera Impala audit logs and audit log storage in the Hadoop Distributed File System (HDFS) enabled Support for mTLS-enabled databases for HMS Improvements to Quota management Automatic spill to HDFS   Cloudera Machine Learning adds model serving, management, and governance, as well as improved compute utilization, with features such as:  Cloudera Machine Learning service accounts in private cloud enabled Cloudera Model Registry available in private cloud Quota Management for Group/Team (Technical Preview) available Heterogeneous GPU hardware support enables different types of GPUs in the same cluster which can optimize computational efficiency   Cloudera Data Engineering adds streamlined access to services and improved user productivity for faster business insights, with features such as: Security improvement to enable the UI when port 80 is blocked on the k8s cluster ingress level. Spark Connect for interactive development via external Jupyter notebook. This feature is only for Spark 3.4 VC with 7.1.8 runtime on a subset of connectors. Initialization of virtual clusters with password-protected private keys.   For the full list of features, see the release notes.  To learn more about how cloud-native data management can help you optimize your data workloads and stay competitive in today's fast-paced data landscape, check out our introductory blog and short video for Cloudera Data Services on private cloud. Cloudera’s Professional Services team is available to ensure your migration to Cloudera is successful. In addition, Cloudera’s Support Team is available for your mission-critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.  Additional helpful resources about Cloudera on private cloud:  Product Page Getting Started with Cloudera on Private Cloud Release Notes and Documentation Cloudera Data Engineering Documentation Cloudera Data Warehouse Documentation Cloudera Machine Learning Documentation  Management Console (Control Plane) Platform Documentation Openshift Container Platform Support Matrix Embedded Container Service Support Matrix End of Life / End of Support policy Course for Admins: Running Private Cloud with Data Services Course for Admins: Managing Apache Ozone Free Trial of Cloudera on Private Cloud Blog: Building Cloud-Native Apps On-Premises   ... View more

We're pleased to announce the release of Cloudera Data Platform (CDP) Private Cloud Base 7.1.7 Service Pack 3 (SP3), bolstering this Long Term Supported (LTS) version of the platform further. This service pack strengthens the platform's reliability and security posture. Highlights of SP3 include: Enhanced data security and InfoSec compliance with 100+ resolved critical Customer Vulnerabilities and Exposures (CVEs) and fosters customer confidence while safeguarding their data assets. CVEs have been resolved in some of the prominent frameworks including: Netty/Jetty, Jackson databind, Guava, Apache Tomcat and Apache Shiro, Snappy Java, and Spring framework. Enhanced business continuity and data integrity by prioritizing stability and reliability to better protect the operation and integrity of your critical data, as well as other improvements such as new properties enhance retry mechanism for Kafka / Kafka Connect Ranger plugins for better handling of communication failures. For further details, see the full release notes here.   We encourage all customers using CDP Private Cloud Base 7.1.7 LTS (or earlier) to upgrade to this latest release to benefit from these crucial security enhancements.  Cloudera’s Professional Services team is available to ensure your migration to CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade. As always, we welcome your feedback. Please post your comments and suggestions to our community forums. Additional information:  Runtime Release Notes Fixed CVEs in CDP PvC Base 7.1.7 SP3 Cloudera Manager Release Notes CDP PvC Base Overview Learn more about Cloudera PvC Base LTS Release  Support Lifecycle Policy ... View more

We’re excited to announce that Cloudera’s Private Cloud Data Services 1.5.2 is now generally available.  Infuse the power of cloud-native analytics into your on-premises workloads with Cloudera’s industry leading data platform.  This release delivers Cloudera’s Open Data Lakehouse on Private Cloud Data Services, providing the scale, speed, and reliability you need to build trusted, enterprise AI to solve your biggest business challenges.  Here are some highlights of this release:  Apache Iceberg is now generally available, enabling you to implement an Open Data Lakehouse architecture to unify all your data across a hybrid cloud ecosystem. Cloudera Data Catalog is now generally available, making it easier to find the right data at the right time, an essential piece of building out a successful Data Fabric and indeed a Data Mesh. Run new LLM Applied ML Prototypes (AMPs), including parameter efficient fine tuning (PEFT) techniques to greatly decrease the computational and storage costs. Certification for Portworx, further widening compatibility with popular storage platforms on private cloud. Additionally, we’re releasing exciting new features across each of the data services in 1.5.2, for faster insights and enhanced user experience for data practitioners.  Some highlights across the data services include:  For Cloudera Data Engineering: Elastic Quota for Virtual Clusters Using GPUs to accelerate CDE Spark jobs and sessions (Technical Preview) For Cloudera Data Warehouse:  Quota-managed resource pools View Impala query details and query profile in Hue For  Cloudera Machine Learning:  ECS Support on RHEL 8 Quota Management at workspace level (Tech Preview) There are many additional features delivered on the platform and across the data services that are published in the official Release Notes.  To learn more about how cloud-native data management can help you optimize your data workloads and stay competitive in today's fast-paced data landscape, check out our introductory blog and short video for Private Cloud Data Services. Cloudera’s Professional Services team is available to ensure your migration to CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.  Additional resources to help: Getting Started with CDP Private Cloud CDP PVC Data Services 1.5.2 - Release Notes  Management Console for CDP PVC Data Services 1.5.2 - Release Notes Cloudera Data Engineering for CDP PVC Data Services 1.5.2 - Release Notes  Cloudera Data Warehouse for CDP PVC Data Services 1.5.2 - Release Notes  Cloudera Machine Learning for CDP PVC Data Services 1.5.2 - Release Notes Course for Admins: Running CDP Private Cloud with Data Services Course for Admins: Managing Apache Ozone 60 Day Free Trial for CDP Private Cloud Blog: Building Cloud Native Apps On-Premises   ... View more

We’re excited to announce the next release of Cloudera for private cloud (Private Cloud Base 7.1.9), jam packed with features and innovation to revolutionize your on-premises data experience.  This release delivers Cloudera’s Open Data Lakehouse to the data center, providing the scale, speed, and reliability you need to build trusted, enterprise AI to solve your biggest business challenges.  We’re also thrilled to announce that this release will also be our next long term supported (LTS) version of the platform, delivering the stability and peace of mind that you need. Here are some highlights of this release:  This LTS release offers the highest standards of enterprise readiness with various high-availability enhancements including zero downtime upgrades (ZDU), and security enhancements such as TLS 1.2. Apache Iceberg is now generally available for private cloud, enabling you to implement an Open Data Lakehouse architecture to unify all your data across a hybrid cloud ecosystem.  A host of new Apache Ozone capabilities, such as quotas, snapshots, and disaster recovery enhancements, enable object storage for vastly greater scalability at lower cost. Expanded support for integrations including Python 3.10, RHEL 9.1, RHEL 8.8 FIPS, SLES 15 SP4, Oracle 8.8, JDK 17, further prepares the platform for your mission-critical enterprise use cases.  Learn more about what’s featured in this release in the release summary listing all the features, and also be sure to check out our blog, Revolutionize Your Data Experience With Cloudera on Private Cloud.  To upgrade to the latest version of Cloudera on private cloud, please reach out to a member of your Cloudera account team or contact us here. As always, we welcome your feedback. Please post your comments and suggestions to our community forums. Additional resources to help: CDP Private Cloud Base Overview CDP Private Cloud Base 7.1.9 Release Notes CDP Private Cloud Base 7.1.9 Runtime Release Notes Cloudera Manager 7.11.3 Release Notes Getting started with your Upgrade or Migration Learn more about Cloudera LTS releases CDP Private Cloud Base Installation Documentation CDP Private Cloud Base Trial  Support Lifecycle Policy ... View more

  We're thrilled to announce the release of Cloudera Data Platform (CDP) Private Cloud (PVC) Data Services 1.5.1, the next iteration of Cloudera’s on-premises, cloud-native open data lakehouse, bringing the power of cloud-native data apps to your data center.    This release is jammed with 80+ new features across the platform and data services - Cloudera Data Engineering (CDE), Cloudera Data Warehouse (CDW), and Cloudera Machine Learning (CML) - to deliver faster insights on a more robust, secure, and performant platform.  Each of these are covered in detail in the release notes.     Some key platform highlights of this release include:  Object storage with Apache Ozone is now GA on all data services, enabling modern data use-cases faster performance, denser storage, and better scalability. Open data format with Apache Iceberg V2 is available as a tech preview on all three data services, for greater flexibility and interoperability with your private open data lakehouse. Enhanced enterprise readiness with improvements across monitoring & troubleshooting, scaling, and the availability of Disaster Recovery Service (DRS) on CML (adding to DRS on CDW and the Control Panel).  Easier migration and POCs with reduced minimum hardware requirements, node harvesting from CDP Private Cloud Base, and migration automations.  FreeIPA certification for streamlined identity and access management.  Additionally, we’re releasing exciting new features across each of the data services in 1.5.1, for faster insights and enhanced user experience for data practitioners.  Some highlights across the data services include:  Cloudera Data Engineering improved scaling and performance with Apache Airflow 2.3.4 interactive sessions (pyspark / scala / java) Cloudera Data Warehouse improved open table format with Apache Iceberg v2 in tech preview workload aware autoscaling Cloudera Machine Learning new LLM Chatbot AMP available on CDP Private Cloud for implementing a trusted enterprise AI chatbot  tooling to migrate CDSW workloads to CML   Please see the official Release Notes for CDP PVC Data Services 1.5.1 for the full list of features delivered.    Cloudera’s Professional Services team is available to ensure your migration to CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.    Additional resources to help: Getting Started with CDP Private Cloud CDP PVC Data Services 1.5.1 - Release Notes  Management Console for CDP PVC Data Services 1.5.1 - Release Notes  Cloudera Data Engineering for CDP PVC Data Services 1.5.1 - Release Notes  Cloudera Data Warehouse for CDP PVC Data Services 1.5.1 - Release Notes  Cloudera Machine Learning for CDP PVC Data Services 1.5.1 - Release Notes  Course for Admins: Running CDP Private Cloud with Data Services Course for Admins: Managing Apache Ozone 60 Day Free Trial for CDP Private Cloud Blog: Building Cloud Native Apps On-Premises   ... View more

We're pleased to announce the release of Cloudera Data Platform (CDP) Private Cloud Base 7.1.7 Service Pack 2 (SP2) and Cloudera Manager version 7.6.7, which deliver ongoing platform stability and security for the long term supported (LTS) 7.1.7 release.    LTS releases provide a 4 year support roadmap with service packs designed to package cumulative hotfixes and additional updates to deliver continued platform stability and performance.   Service Pack 2 provides the following key updates: Enhanced upgrade path to Private Cloud Base (PvC) – CDH 5 & 6 customers as well as HDP 2 & 3 customers can now upgrade to CDP PvC Base 7.1.7 SP2 in place. Rollback procedures are also available to support upgrades from CDH 5 & 6 and HDP 2 & 3. Replacement of log4j1 with reload4j – As part of our commitment to remediate critical security vulnerabilities, we have completely replaced log4j1 with reload4j in CDP PvC Base 7.1.7 SP2.   Please see the official Release Notes for the full list of features delivered in this service pack. As always, we welcome your feedback. Please post your comments and suggestions to our community forums.   Additional resources to help: CDP Private Cloud Base Overview Cloudera Runtime SP2 Release Notes Cloudera Manager 7.6.7 (for 7.1.7 SP2) Release Notes Remediated CVEs in PVC Base 7.1.7 SP2  Learn more about Cloudera PvC Base LTS Release  CDP Private Cloud Base Installation and Upgrade Documentation CDP Private Cloud Base Trial Information and Download Support Lifecycle Policy ... View more

We're pleased to announce the release of Cloudera Data Platform (CDP) Private Cloud (PVC) Data Services 1.5.0, which delivers new features and improvements to accelerate your modernization to cloud native architectures on premises.    Some key highlights of this release include:  Lower minimum hardware requirements, as well as pathways to convert CDP PVC Base nodes into PVC Data Services nodes.  Easier upgrades of platform and data services, including migration automations from PVC Base to PVC Data Services for Cloudera Data Engineering (CDE) and Cloudera Machine Learning (CML). Backup and restore functionality for Control Plane and Cloudera Data Warehouse (CDW) Added Iceberg as a technical preview for CDE and CDW, enabling customers to embrace the first open private data lakehouse on premises.    Additionally, there are numerous improvements to platform security, stability, performance, and of course new features across each of the data services - CDE, CDW, and CML.   Please see the Release Notes for CDP PVC Data Services 1.5.0 for the full list of features delivered.    Cloudera’s Professional Services team is available to ensure your migration to CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.    Additional resources to help: Getting Started with CDP Private Cloud CDP PVC Data Services 1.5.0 - Release Notes  Management Console for CDP PVC Data Services 1.5.0 - Release Notes  Cloudera Data Engineering for CDP PVC Data Services 1.5.0 - Release Notes  Cloudera Data Warehouse for CDP PVC Data Services 1.5.0 - Release Notes Cloudera Machine Learning for CDP PVC Data Services 1.5.0 - Release Notes   ... View more

We're pleased to announce the release of Cloudera Data Platform (CDP) Private Cloud (PVC) Data Services 1.4.1, which delivers key new features and improvements across the platform for better enterprise readiness and BI/AI outcomes.    This release appeals to both data practitioners and platform administrators with the following key highlights:  Significant new functionality in Data Services such as Quota Management (CDE), support for Spark History Server (CDE), use of deterministic namespace in Kerberos principals (CDW), ability to use CDP CLI to install and manage CDW Private Cloud (CDW).  Promoting enterprise readiness with new capabilities such as External Docker Registry, rolling restart of ECS nodes during upgrades, fixes for Critical CVEs, and additional platform certifications.    Please see the Release Notes for CDP PVC Data Services 1.4.1 for the full list of features delivered in this release.    Cloudera’s Professional Services team is available to ensure your migration to CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.    Additional resources to help: Getting Started with CDP Private Cloud CDP PVC Data Services 1.4.1 - Release Notes  Management Console for CDP PVC Data Services 1.4.1 - Release Notes  Cloudera Data Warehouse for CDP PVC Data Services 1.4.1 - Release Notes Cloudera Data Engineering for CDP PVC Data Services 1.4.1 - Release Notes Cloudera Machine Learning for CDP PVC Data Services 1.4.1 - Release Notes   ... View more

We're pleased to announce the release of Cloudera Data Platform (CDP) Private Cloud (PvC) Base 7.1.8 and Cloudera Manager 7.7.1, which introduce key new features to improve the analytics capabilities offered to your business users, enhanced enterprise readiness, as well as additional third party support. This is a cumulative maintenance release that carries forward the features from 7.1.7 Service Pack 1 (SP1) and prior releases.    Here are some highlights of 7.1.8 we’d like to draw your attention to: This release has a concerted focus on platform resilience, delivering vastly improved high availability (HA) of the platform, which rings true to our laser focus on enterprise readiness.  As organizations plan for continuity in the face of an unplanned outage, 7.1.8 promotes HA with Cloudera Manager's support for active-passive HA, replication between Ozone clusters, balanced distribution of data with Ozone, standby NameNodes for added fault-tolerance, Hive ACID table replication for disaster recovery, and expanded third party support for backend HA. Continuing with the theme of enterprise readiness, this release ships a host of features that promote hardened platform security and greater control of your data to implement the strongest data governance requirements, as well as, simpler management of the platform with improved alerting, dynamic queue scheduling, and atomic operations in object storage.  For data-driven organizations adding analytics at the edge, this release expands visibility and control of stream processing workloads, designed to bring data streaming pipelines into well-managed Data Mesh architectures. Additional improvements across data warehousing, operational database, and self-service analytics, all serve to delight your data practitioners to deliver impactful analytics.    For a structured look at this release, here’s an overview of the new features and improvements we’ve added:     Cloudera Manager (CM) enhancements offer greater reliability and easier management of the platform.  Features added include support for active-passive high availability (HA), stronger security with credential management, and improved alerting.   SDX enhancements add improved security across the platform and simplified operations.  Features added include support for grants at the db level in Ranger RMS, tracking of HDFS lineage, simpler privilege / policy mapping for Solr in CDP, and Ranger-Ozone integration enables multi-tenant support.  Ozone storage enhancements deliver more efficient storage as well as improved data resilience.  Features added include balanced data distribution across nodes, support for atomic operations, integration with CDP Replication Manager enabling replication between Ozone clusters, and support for erasure coding.  Additional platform enhancements for improved reliability with further support for platform resilience.  Features added include improved fault-tolerance with HDFS support for running multiple standby NameNodes, and YARN compatibility enhancements. Stream processing enhancements provide improved security, reliability, and performance of streams, with expanded visibility and unparalleled control.  Features added span Kafka, Streams Messaging Manager (SMM), Streams Replication Manager (SRM), Schema Registry, Cruise Control, and KConnect. Data Warehouse enhancements for wider support of data types, improved reliability, and simplified data management.  Features added across Hive, Impala, and Kudu to improve fine-grained access control, encryption at rest, further streamlines migrations from legacy data warehouses, and Hive rolling restarts for rolling upgrades.  Operational Database enhancements with HBase rebase to 2.4.6 and the ability to shift to Hbase Multi-cluster Client support with limited code changes. Self Service Analytics enhancements make it easier for end users to visualize, analyze, and derive operational insights quickly. Features added to Hue include support for Spark SQL with autocomplete, an SQL interface to Phoenix, and a native query processor to index and read Hive query history.  CDP Private Cloud Base expands third party support for further choices of platform integrations. Support added for RHEL/OEL 8.6 for x86, Oracle 19c RAC for backend HA, and Maria DB 10.6. The improvements listed above are an overview of this release.  For a comprehensive list of all new features, please see the 7.1.8 Release Summary.    CDP Private Cloud Base 7.1.8 is the first feature release following the Long Term Supported (LTS) release, and will be supported for 18 months. Customers on 7.1.7 LTS can upgrade to 7.1.8 to enable these new features, however, will detach from the extended 4-year LTS support period.    Cloudera’s Professional Services team is available to ensure your migration to this version of CDP is successful. In addition, Cloudera’s Support Team is available for your mission critical support needs. We encourage you to open a support case via our Support Portal to alert us of your planned upgrade.   Additional resources to help: 7.1.8 Release Summary 7.1.8 Runtime Release Notes Cloudera Manager 7.7.1 Release Summary CDP Private Cloud Base Overview CDP Private Cloud Base Installation and Upgrade Documentation CDP Private Cloud Base Trial Information and Download Support Lifecycle Policy   As always, we welcome your feedback. Please post your comments and suggestions to our community forums.   ... View more

Cloudera is focused on helping our customers by swiftly innovating on the product and technology side. We accomplish this by bringing powerful new capabilities to our platform that enable customers to drive even greater business value. Cloudera has been providing regular upgrades for customers from our legacy releases on HDP/CDH, and we now designate certain releases as Long-Term Support (LTS) releases to help customers feel confident in upgrading large, complex clusters that require significant planning to upgrade. This is helpful for those who typically do not perform frequent major upgrades and thus depend on the long-term support these releases provide with critical bug fixes, security fixes and a stable platform.     Since the launch of CDP Private Cloud Base, we’ve provided 6 new releases of the platform, each introducing innovative new features, platform enhancements, robust upgrade paths for legacy platforms, broader integrations, and of course, bug and security fixes.  With the release of Service Pack 1 on top of CDP Private Cloud Base 7.1.7 we are providing customers with a stable platform that fixes security vulnerabilities and  critical bugs. 7.1.7 Service Pack 1 (SP1) provides critical fixes to Log4J 2.x vulnerabilities, Log4J1.x CVE mitigation and several other Security and CVE fixes.  As such, we have designated CDP Private Cloud Base 7.1.7 as our first LTS release (see release announcement).  This LTS release model gives customers an easy path to a stable, performant, reliable, and secure platform without having to redesign or make changes to their applications or application life cycle. What is an LTS release? An LTS release is a version of the platform that Cloudera commits to supporting for four years, without any updates that introduce platform changes or new features. We will of course provide critical bug and security fixes on a periodic basis (see below). This is ideal for customers with large, complex clusters who need significant time and effort to perform an upgrade, giving them confidence of version stability without the disruption of frequent updates.    Let’s quickly define some relevant terms to frame the LTS release: A Hotfix is created to address a specific customer reported issue, problem, or customer scenario. A Hotfix can address either a single issue or a multiple set of issues.  A Cumulative Hotfix (CHF) is an update that contains all previous hotfixes to date. This provides stability between service packs, providing fixes to issues you may not even have encountered and no longer need to worry about. A Service Pack is a tested set of all CHF, Hotfixes, security and CVE updates, critical bug fixes, minor platform certifications and updates. Performance fixes, regression bug fixes and non-customer visible fixes will be included in a service pack.    Long Term Support releases (including CHF and Service Packs) are designed to reduce the effort required to deploy an update. Upgrade CM and then follow these three key steps - download the new parcel, distribute the files to your cluster(s), and activate the new parcel.  We provide the details of this process in a Knowledge Base article.    Frequent adoption of CHF and SP releases solves problems before you encounter them in production. Who is an LTS release suitable for? Customers with large, complex environments or who have workloads supporting critical business operations may prefer to upgrade on a less frequent basis, and LTS is a great upgrade option for such customers.  We appreciate that our customers have wide and varied upgrade planning cycles and the LTS release is designed to allow ample time to plan for your next upgrade.    Here are some benefits of choosing the LTS release cadence for you to consider:  Reduced Risk - Remove the need and associated expense/disruption of taking feature releases just to get access to bug fixes. This will improve your overall platform reliability.  Enterprise Grade - Realize maximum value from continuous product improvement by receiving bug fixes and security updates on a planned regular cadence, without introducing any functional platform changes that need extensive testing.  Service Packs - A release model for customer reported bugs to be addressed through regular maintenance Service Packs and cumulative hotfixes.  Stable Product Release - Stable product release with full backward compatibility to previous releases.    To quote a customer of ours, “One of the biggest challenges with our data platform today is that our Infosec team only allows us to use the latest supported release. By moving to a release that’s supported for four years, we give our business and Infosec teams the confidence that we are building on a secure, stable platform and they can focus on their business value.”  What is a Feature Release? Cloudera will continue to provide fast-paced feature innovations on CDP Private Cloud Base with the regular release versions (“Feature Releases”). These regular versions of the platform will be supported for 18 months and are designed for customers who adopt new features at a fast pace. The next LTS release will include features from the regular release versions plus additional innovations.   To help clarify the difference between an LTS and Feature release, here’s a breakdown of what the policies look like for each.   Policy Long Term Support releases Feature releases Technical Support Cloudera Support End of Life Policy 48 months 18 months Service Packs Twice a Year. - Security Vulnerabilities Cumulative HotFixes and Service Packs Cumulative HotFixes   Cloudera’s Long Term Support Release will contain only the following Critical security bug fixes Critical bug fixes All other bug fixes, whenever possible   This allows customers to realize maximum value from our continuous product development without strictly keeping up with the regular release cadence. Next Steps To further explore the benefits of an LTS release for your deployment, here are some additional resources for you to peruse:  Community Release Announcement Support Lifecycle Policy FAQ Product download page SmartUpgrade from Cloudera Professional Services   Reach out to your Cloudera account team to discuss the impact and benefits the LTS release has for your organization and what options are available for you to upgrade to the latest LTS release of CDP Private Cloud Base. ... View more