Services Packages
December 15, 2022
* Effective as of March 1, 2023, DataStax will no longer be offering new or renewed Services Packages. For information as to how to receive services for your products, please contact sales@datastax.com.
DataStax Services Subscription Packages
Strategic Services Program Package
DataStax Enterprise (DSE) Services Packages
DSE Operational Deep Dive Package
Astra DB Zero Downtime Migration
Luna Essentials Diagnostics and HealthCheck
Prepaid Consulting Days (T&M Services)
Additional Terms For All Service Packages
Services Packages are offered by DataStax and are designed to provide each Customer with the most common needs with regards to its use of DataStax Products. Services Packages may include individual Consulting Days provided on a time and materials (T&M) basis or a bundle of Services. Except for the Strategic Services Program Package described below, Customer shall procure Service packages identified in the applicable Order Schedule by utilizing the number of Consulting Days designated in the Order Schedule. DataStax cannot guarantee that all of the recommendations, goals or objectives listed below will be completed during the time allotted. DataStax will provide a separate proposal for any additional time required to complete any outstanding tasks.
DataStax Services Subscription Packages
Strategic Services Program Package
The Strategic Services Program (“SSP”) Package is sold as an annual subscription. As further described below, the SSP Package is available in three tiers: Silver, Gold and Platinum:
Figure 1: SSP Tiers
|
Feature |
Silver |
Gold |
Platinum |
|
Technical Services Lead |
Yes |
Yes |
Yes |
|
Designated Solutions Architect |
Yes |
Yes |
Yes |
|
Project & Developer Acceleration (DataStax Dojo) |
|||
|
Office Hours/Working Sessions |
Monthly |
Monthly |
Weekly |
|
Workshops |
N/A |
Annual |
Quarterly |
|
Developer Days/Hackathons |
N/A |
N/A |
Annual |
|
Program Priority Planning |
Quarterly |
Quarterly |
Monthly |
|
Architecture and Security |
|||
|
Health / Data Model / Integration Checks |
Annual |
Bi-annual |
Quarterly |
|
Assessment and Remediation |
N/A |
Annual |
Annual |
|
Application Release and Upgrade Planning |
N/A |
Annual |
Bi-annual |
|
Architecture Strategy and Planning |
N/A |
N/A |
Annual |
|
Strategic Reviews |
N/A |
N/A |
Bi-annual |
|
Training |
|||
|
Training Assessment |
N/A |
Annual |
Annual |
|
Technical Training and Certifications |
N/A |
N/A |
Annual |
A general example of the features and scope that may be included in the SSP Package are outlined in the table below. All features and scope are dependent upon Customer engagement and cooperation.
|
Feature |
Description |
|---|---|
|
Technical Services Lead |
DataStax consultant who is responsible for ensuring professional services delivery and acting as a trusted advisor for DataStax products. Scope
|
|
Designated Solutions Architect |
Proven technical expert with deep knowledge of successful data architectures, application integration and implementation best practices. Scope
|
|
Project & Developer Acceleration (DataStax Dojo) |
The DataStax Dojo (Project & Developer Acceleration) includes multiple touchpoints of different types to remove barriers to organizational adoption and accelerate development. It includes a combination of Office Hours, Workshops, Developer Days and Hackathons based on tier.
Scope
|
Program Priority Planning |
A Technical Services Lead and a Designated Solutions Architect will work with your team to plan and schedule reviews during your annual subscription term. Scope
|
|
Health / Data Model / Integration Checks |
A Technical Services Lead and Designated Solutions Architect will work with your team to provide a comprehensive overview of the health of your environment, data model and integrations and provide recommendations for optimization. Our experts will review your database configuration, deployment topology, underlying infrastructure, highlight important settings, and recommend improvements and best practices for growth and performance. We will review features such as:
Scope
|
|
Architecture and Security Assessment and Remediation |
A Technical Services Lead and Designated Solutions Architect will work with your team to provide guidance and best practices recommendations for application architecture, infrastructure design, network design, and security design through a series of workshops to ensure the architecture is right-sized to meet the enterprise’s current and future business needs. Scope
|
|
Application Release and Upgrade Planning |
A Technical Services Lead and Designated Solutions Architect will work with your team regarding release and upgrade plans. This will include a discussion of the current environment state, features and benefits available via version or feature upgrades, and potential upgrade paths and approaches. Scope
|
|
Architecture Strategy and Planning |
A Technical Services Lead and Designated Solutions Architect will work with your team to discuss relevant strategic architecture alternatives and goals based on overall business and IT priorities. Scope
|
|
Strategic Reviews |
Technical Services Lead will work with the wider DataStax organization to plan and schedule the review that may include representatives from DataStax’s Services, Engineering, Product Management, or Technical Support teams. Scope
|
|
Training Assessment |
Assess training level of staff and recommend relevant DataStax Academy training and certifications. Scope
|
|
Elevation Training and Certifications |
Provide instructor led training sessions on fundamentals and new capabilities. Guidance from a training coach on best available training paths and courses give objectives. Scope
|
Customer Responsibilities
Customer will:
- Assign a designated person from Customer’s staff who will be readily available as a point of contact, and is authorized to grant all approvals and provide necessary information
- Assist DataStax in facilitating the delivery of the SSP Package;
- Provide an engineer (who has administrative access to all relevant systems) to work with the Designated Solutions Architect or Technical Services Lead.
Customer Requirements
Customer must have an active, current AstraDB account or paid DataStax software license with technical support in order to purchase an SSP Package subscription.
Service Limitations
- The number of clusters supported are up to one (1) cluster for SSP Silver tier, up to two (2) clusters for SSP Gold tier, and up to five (5) clusters for SSP Platinum tier unless otherwise noted on the Order Schedule.
- The Designated Solutions Architect engagement level is based on the tier:
- Silver: monthly office hours and deep-dive assistance a few times per month
- Gold: monthly office hours and deep-dive assistance multiple times per month or a few small projects annually
- Platinum: weekly office hours and deep-dive assistance multiple times per week or several medium projects annually
- Additional Service Packages or Consulting Days can be purchased through the duration of the SSP at a discount from published list price as follows:
- Silver Tier (5%)
- Gold Tier (10%)
- Platinum Tier (15%)
Additional Terms
- Except as explicitly stated in an Order Schedule, the SSP Package subscription shall begin upon the signature date of Customer’s Order Schedule and will be available for twelve (12) months (the “Term”).
- Upon expiration of the Term, Customer’s SSP Package subscription shall expire and all services provided under the SSP Package shall cease. There will be no refund or credit of any pre-paid fees.
- While DataStax will use commercially reasonable efforts to provide the recommendations and consultations within the Term, no guarantee is provided with respect to the completion or of any specific milestones or deliverables. Notwithstanding the foregoing, DataStax shall work in good faith with Customer to provide any necessary recommendations within the Term and prioritize any business-critical deadlines made known to DataStax by Customer.
- Unless otherwise agreed in the applicable Order Schedule, all SSP Package services will be delivered remotely.
- The DataStax professional working day is eight hours, including reasonable time for meals. DataStax expects that Customer personnel are available during normal working hours
- See the DataStax Services Terms (the “Services Terms”) for additional terms and conditions relating to DataStax Services. To the extent there is a conflict between the Services Terms, applicable Order Schedule or these SSP Package terms, the terms will control in the following order: (1) the SSP Package terms; (2) the applicable Order Schedule; (3) the Services Terms.
- DataStax recommendations and content will be tailored based upon the information received from the Customer. Changes in Customer’s project scope, errors or omissions in provided data points, or similar discrepancies in the information received by DataStax may result in recommendations that will not best fit the Customer’s needs.
- For the avoidance of doubt, the recommendations and goals stated above are for Customer informational purposes only.
- Any software that is provided or recommended by DataStax professionals as part of the SSP Package that is under an open source license is provided on an AS IS basis and is subject to the terms of such open-source license.
DataStax On Demand Services
On Demand Expert Services
Goal
The goal of On Demand Expert Services is to provide Enterprises with a technical partner to help achieve faster time to business value by providing timely expert services at any point in your journey.
Overview
Enterprises like yours can benefit from timely access to DataStax technical experts. DataStax On Demand Expert Services is a credit-based service that provides direct access to DataStax solution architects. You can choose from a predefined catalog of services for Astra or DSE / Luna (OSS Cassandra) to receive the expert assistance you need quickly and efficiently.
Approach
DataStax On Demand Expert Services includes working sessions at various points in your journey to remove various barriers to organizational adoption of DataStax technology. The table below shows features and benefits.
|
Features |
Benefits |
|
Extensive Services Catalog |
DevOps, Developer and Operator level tasks available to request |
|
DataStax Product Coverage |
Astra, DSE and OS Cassandra coverage |
|
No Individual Orders or Statement of Work |
Frictionless and timely assistance when you need it |
|
Direct and Timely Consultation |
Get access to an Expert quickly for specific questions or more in depth consultation. |
|
90-DayExpiration and Refresh |
Credits expire and are refreshed every 90 days during your term. |
|
Purchase Additional Credits When Needed |
Additional credits are available for purchase when needed. |
|
Designated Solution Architect Available |
Tailor the service to your needs by selecting the Designated Solution Architect option. |
How It Works
Access to On Demand Expert Services is determined by the number of credits included in your Order Schedule. Credits are decremented from your account based on the credit cost of the specific services. An exhaustive list of available services are included in the Service Catalog for each product:
The number of credits available is determined by either your Support Plan or the number of credits purchased as part of an On Demand Expert Services subscription.
|
How Credits are Purchased |
How Many Credits are Available |
|
Premium Support - Named Premium Cloud Engineer |
Includes 8 credits per 90 days for the Premium Support term. |
|
On Demand Expert Services Subscription |
Includes x credits per 90 days for the On Demand Expert Services term. Credits may be purchased in 90 day increments of 8 credits. |
How to Access the Service
On Demand Expert Services are requested by navigating to the DataStax Customer Support Portal and creating an On Demand Expert Services request. On Demand Expert Services are scheduled and handled by a team of remote DataStax Solution Architects, and as such, it is not generally possible to request a specific solution architect to complete a given service. We typically expect to respond to most requests within 1-3 business days. On Demand Expert Services are available during standard business hours (9 am-5 pm), Monday through Friday in the time zone of the customer’s main operations. All On Demand Expert Services are delivered in English unless agreed otherwise.
Customer Responsibilities
Customer will:
- Initiate an on Demand Expert Services request via the DataStax Customer Support Portal
- Provide contact information for a designated person from Customer’s staff who will be readily available as a point of contact for each On Demand Expert Services request, and is authorized to grant all approvals and provide necessary information
- Assist DataStax in facilitating the delivery of the On Demand Expert Services Request;
Customer Requirements
Customer must have an active, current AstraDB account or paid DataStax software license with technical support in order to purchase On Demand Expert Services..
DataStax Enterprise (DSE) Services Packages
DSE QuickStart
The DSE QuickStart Package includes up to 20 consulting days to carry out the following Services designed for creating a solid implementation plan for a Customer's data modernization strategy on DataStax Enterprise. This Services Package expires 180 days from the purchase date.The following covers one Application or set of microservices (Max 5).
- On-Boarding and Kickoff with the DataStax Team
- Introduction to DataStax Enterprise Success Team
- Communication of overall goals and expectations
- Overview of the enterprise, it's business, technology context and data needs
- Discussion of project scope and requirements
- Goal: Clear articulation and understanding of how DataStax Services will be delivered
- Architecture Design/Review
- A high level review of the expected feature usage
- Hardware review to determine if the Customer’s hardware is appropriate for their required workload or make appropriate recommendations
- For the given use case review or assist with the design of the following:
- System architecture
- DSE topology definition
- Data center deployment
- Number of nodes per data center
- Racks awareness
- vnodes configuration
- Data model workshop: deep dive on 2 tables.
- Security options: authentication and authorization
- Goal: Validation of high level architecture against the project scope identified in the On-Boarding and Kickoff
- Development Foundations
- Driver setup: driver version, workload configuration, driver configuration best practices.
- DAO: statements best practices (prepared, predicates, QueryBuilder), object mapper, synchronous vs asynchronous programming vs reactive programming best practices. Assist with the implementation of at least one full DAO
- Basic use of the Stargate API’s available at https://stargate.io/
- Goal: Developers understand the basics of working with the DataStax drivers
- Configuration Baseline
- Review Cluster configuration and recommend settings according to best practices
- Goal: Existing configuration checked against best practices and best practices shared
- Operations
- OpsCenter installation and usage
- OpsCenter automated services setup
- Monitoring and alerting threshold definition defined
- Configuration management
- Goal: OpsCenter installed and ready to monitor the Cluster
- Operational basics:
- Routine Cluster maintenance
- Most common operations
- Troubleshooting basics
- Overview of general automation options:
- Guidance on implementing automation for operations and deployments
- Operations currently supported through OpsCenter and Lifecycle Manager
- Goal: General understanding of best practices for Cluster maintenance and operations
- Enabling your team through Training
- Relevant self-paced DataStax Academy classes identified, curriculum provided to the Enterprise
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
- Goal: Customers developers confident in developing against DataStax Enterprise to support their use cases. Customers Architects confident with designing systems around DataStax Enterprise.
Customer Responsibilities and Dependencies
Responsibilities
- Provide details of the application/services
- Share project/programme/platform goals and provide Customer’s measurable success criteria for these goals to inform the data modernization strategy
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
- Hands on installation and configuration of DSE and associated software under the guidance of a DataStax consultant
- Commit to ensuring appropriate stakeholders are present and able to contribute at scheduled meetings
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
DSE Launchpad
The DataStax Launchpad Package includes up to 10 consulting days to carry out the following Services designed for creating a solid implementation plan for a Customer's data modernization strategy on DataStax Enterprise (DSE). This Services Package expires 180 days from the purchase date.
Launchpad Planning Package Scope
- On-boarding and kickoff with the DataStax team
- Introduction to DataStax Services team
- In collaboration define overall goals and expectations
- Investigate the Customer’s data needs
- Joint discussion of scope and requirements
- Goal: Clear articulation and understanding of how DataStax Services will be delivered
- Planning the Data Modernization approach
- DataStax to host a workshop to discuss all lifecycle phases and use case success. The workshop will cover up to 3 use cases.
- DataStax will develop a strategy document to detail: High level phases for each use case implementation, training recommendations, technology best practices (such as streaming or kubernetes), and recommended milestones
- Goal: Data modernization strategy document
- Enabling your team through Training
- Relevant self-paced DataStax Academy classes identified, curriculum provided to the enterprise
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
- One 3-day instructor led training for Customer’s employees on installation, configuration and operations related to DSE.
- Goal: Customer staff comfortable and confident with DataStax Enterprise architectural topics relevant to their use cases
Customer Responsibilities and Dependencies
Responsibilities
- Provide details of the application/services
- Share project/programme/platform goals and provide Customer’s measurable success criteria for these goals to inform the data modernization strategy
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
DSE SpringBoard
The DataStax DSE Springboard Package includes up to 70 consulting days to carry out the following Services designed for preparing, running and delivering the first application running on DataStax Enterprise (DSE) via our Springboard methodology. This Service Package expires 180 days from purchase date.
Springboard Package Scope
- Week One Preparation
- A DataStax Engagement Manager will assist in launching the Springboard project and work with the Customer to create a project charter that would include the following:
- Identify business outcomes
- Discover Customer application use cases and associated non-functional requirements
- Design application architecture
- Facilitate competing design ideas and solutions
- Coordination of base level DSE developer training for the development team via the DataStax academy and ‘ask me anything’ session run by technical consultants
- Collaboration with Customer to validate the install platform
- Assist with the installation of DSE clusters on the target hardware
- Goal: Installed DSE, base level of developer training completed, Springboard project planned and ready to go.
- Design Sprint (a 5 working day period). In collaboration with the Customer, DataStax will carry out the following activities
- Review of the overall system architecture stack and see where DSE fits with a focus on data flow.
- Review the use case: type of data, payload size, expected throughput per dataset, data retention, replication factor, consistency requirement
- Identify potential application candidates for the springboard approach
- Review application candidates for ROI and suitability for rapid development
- Iterate on high level designs and create a data model of the preferred candidate
- Define major application components
- Goal: choose a candidate application to develop, along with estimates of the development effort for those components and an execution plan for the tasks needed
- Development Sprints (2-3 x 10 working day periods). In collaboration with the Customer, DataStax will carry out the following activities
- Assist the Customer team on DSE-specific data modeling and code development
- Define required integrations
- Set up load tests (NoSQL Bench)
- Demonstrate, test and receive feedback at the end of each 5 day sprint on the evolving MVP.
- Goal: refine the data model and application.
- Production Ready
- Provide best practices around:
- Capacity planning
- Fault tolerance planning
- Backup and restores
- Monitoring and alerting
- Assist with setting up DataStax OpsCenter
- Goal: First application running on DSE in pre-production ready to migrate into production
- Engagement Management
- Facilitate the design sprint sessions
- Facilitate Stakeholder updates / MVP reviews
- Capture and clarify the goals, timelines, risks, and logistics of the Application
- Create and manage the backlog of tasks
- Manage progress against plan
- Manage issues, risks, and provide mitigation actions
- Map business objectives to technical requirements
Customer Responsibilities and Dependencies
Responsibilities
- Assist with all joint activities as outlined in the scope
- Provide, install and configure any required middleware (Spark, Kafka etc)
- Configure and run any required data load and transformation scripts
- Perform end to end tests
- All parties are open and transparent about any expected resource constraints
- Full disclosure of any known operational issues
- Customer stakeholders have the necessary authority to make decisions
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer shall provide access to the infrastructure
- Infrastructure will be as per the recommendation based on supported configurations in the product Documentation
- The MVP is not for a live migration
- Customer shall provide resources to develop the application
- Architect team will be provided to assist DataStax team members with required information to complete engagement tasks.
- There will be no change in project priorities impacting the allocated resources or supporting resources
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- There will be no change in project priorities impacting the allocated resources or supporting resources
- An agreed-upon high-level architecture and approach, without changes after the Design Sprint Phase
- The application can be developed within the time frame in accordance with best practice
- Access to any specific security protocols to adhere to / availability of certificates
Additional Terms
- Any application code provided as part of this package is: (a) provided independently of any other project or relationship with Customer; (ii) provided as-is and for educational purposes only; and (iii) provided without warranty or support.
- DataStax excludes any and all liability with respect to any provided application code.
- The application code is licensed to Customer for internal use and shall not be transferred or re-licensed without DataStax’ prior written consent.
DSE Architecture Deep Dive
The DSE Architecture Deep Dive Package includes up to 15 consulting days to carry out the following activities. DataStax will provide detailed guidance and best practices recommendations for application architecture, hardware design, network design, and security design through a series of workshops to ensure your architecture is right-sized to meet your enterprise’s current and future business needs. Additionally, our architects will provide the Customer with the enablement necessary to confidently design and implement your data platform architecture through self paced learning and targeted coaching sessions to become self-sufficient with operating and managing Customer’s use of DataStax Enterprise (DSE). This Service Package expires 180 days from purchase date.
DSE Architecture Deep Dive Scope
- Architectural Strategy Sessions
- 4 x 4-hour architecture meetings between Customer and DataStax to discuss the topics listed:
- Enterprise architecture and integration prerequisites and requirements (e.g. - throughput, security, access and authorization, latency, recovery)
- Customer hybrid cloud and infrastructure-as-a-service strategy across on-premises, co-location, and/or public cloud provider
- Hot, cold, and archive storage strategies for supported use cases
- Goal: Architectural transformation outcomes defined, and understood to assist DataStax and Customer in creating the reference architecture document
- Develop DataStax Enterprise reference architecture artifact for a single architecture with up to 2 use cases:
- Infrastructure and enterprise architecture prerequisites (to include security)
- User roles and authorizations
- Hot, cold, and archive storage strategies
- Backup and recovery strategies
- Disaster avoidance, global data center (DC) design, and hybrid cloud recommendations
- Conduct knowledge transfer of the customer’s DSE reference architecture
- Goal: A delivered reference architecture document providing clear best practice guidance for Customer’s use case and the architectural needs
- Provide targeted coaching sessions, if needed, with Customer personnel to reinforce topics covered in DataStax Academy classes and apply topics to the Customer’s specific environment
- DataStax will recommend up to 6 DataStax Academy classes, with each class relevant to DSE architecture and the enterprise use cases
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
Customer Responsibilities and Dependencies
Responsibilities
- Hands on activities with DSE and associated software under the guidance of a DataStax consultant
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions
- Commit to ensuring appropriate stakeholders are present and able to contribute at scheduled meetings
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- Possession of and ability to share business needs, goals, requirements, constraints, and similar details pertinent to the DataStax data architecture
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
DSE Operational Deep Dive Package
The DataStax Operational Deep Dive Package includes up to 15 consulting days to carry out the following Services designed for detailed guidance and best practices recommendations for hardware selection, architecture, design, code, operations and automation for two environments (e.g. pre-production and production). This Service Package expires 180 days from purchase date.
Operational Deep Dive Package Scope
- Perform implementation support for the use case components
- Assist with deployment of pre-production and production DataStax Enterprise (DSE) clusters
- Assist with the configuration and testing of integrations with DSE and OpsCenter
- Assist with platform operations validation
- In collaboration with Customer review DSE implementation and operations for alignment with architecture review and requirements
- Goal: Deployment of DSE with the use case in the Customer’s production environment, including the ability to handle requests.
- Develop Customer DSE operational runbook based on the Customer’s reference architecture
- DataStax to review and provide recommendations for the operation procedures such as backups, upgrades, fault tolerance, performance metrics monitoring, and alerting for the existing DSE environments
- Datastax to recommend appropriate key performance metrics, day-to-day monitoring of critical activities, and alert thresholds
- Datastax to provide guidance, best practices, plans, procedures, and/or code samples for scripts on the DSE operational strategy. Code samples are provided for internal use by Customer and are provided AS IS.
- DataStax to provide detailed strategies for backups and restores
- Goal: Operational runbook detailing the processes and procedures necessary to for SREs to provide maintenance and upkeep of the use case
- Provide targeted coaching sessions, if needed, with Customer personnel to reinforce topics covered in DataStax Academy classes and apply topics to the client’s specific environment
- DataStax to identify and provide relevant self-paced DataStax Academy classes
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
Customer Responsibilities and Dependencies
Responsibilities
- Hands on installation and configuration of DSE and associated software under the guidance of a DataStax consultant
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
- Commit to ensuring appropriate stakeholders are present and able to contribute at scheduled meetings
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended:
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer shall provide information to facilitate runbook creation e.g. internal operational procedures
- Customer shall provide access to environments to install and configure DSE and Ops Center
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
DSE Data Model Deep Dive
The DataStax Data Model Deep Dive includes up to 15 consulting days to carry out the following Services designed for creating a scalable data model and enhancing your team’s knowledge to evolve the model over time as your use cases and business needs change. This Services Package is limited to one use case and expires 180 days from purchase date.
Data Modeling Deep Dive Package Scope
- Data Modeling Workshop
- In collaboration with Customer develop, review, and validate technical use cases to include query patterns, and concurrency requirements
- Assist with the development of DataStax Enterprise (DSE) data models for each application to include specific table/key structures
- Assist with the development of DSE table/key structure for events, aggregates, and snapshots
- Assist with the DSE design for appropriate separation of clusters, keyspaces within same cluster, tables within the same keyspace, clustering columns within same table
- Advise on the sizing, replication, and capacity strategies for clusters and data centers distributed globally based on application query patterns
- Goal: Data modeling document describing all of the above listed components for a single use case
- Application Data Integration Workshop
- Assist with the driver setup: driver version, workload configuration , driver configuration best practices.
- DataStax will provide best practice guidance for the following as applicable: creating data access objects (DAO) statements (prepared, predicates, QueryBuilder), object mapping, and synchronous vs. asynchronous programming vs. reactive programming.
- Goal: Customer development team capable and comfortable with integrating data applications with DSE
- Provide targeted coaching sessions, if needed, with Customer personnel to reinforce topics covered in DataStax Academy classes and apply topics to the Customer’s specific environment
- DataStax to identify and provide relevant self-paced DataStax Academy classes
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
Customer Responsibilities and Dependencies
Responsibilities
- Provide details of the application / Services during the workshops
- Share project / programme / platform goals and define measurable success criteria
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- The DataStax professional working day is eight hours, including reasonable time for meals. DataStax expects that Customer personnel are available during normal working hours.
DSE Performance Tuning
The DSE Performance Tuning Package includes up to 13 consulting days to carry out the following activities. DataStax will perform a deep-dive assessment of one DataStax Enterprise (DSE) Cluster to ascertain the overall performance and cluster health. DataStax will develop a series of scripts which will simulate the creation of the current data model, initial data upload, workload testing and cluster sizing for the databases listed in the following section. These scripts will be customized from current DataStax scripts for each database and may be easily modified to be used for an extended period of time. This Service Package expires 180 days from purchase date.
DSE Performance Tuning Scope
- Deep dive health check for 1 cluster
- Perform a deep dive assessment of the DSE Cluster, gathering architectural, demographic, and usage parameters
- Analyze the gathered assessment metadata to generate a list of improvement recommendations with instructions on how to implement each recommendation.
- Goal: In depth review with the Customer, describing the cluster health and performance along with detailed recommendations for any applicable improvement
- Stress testing of up to 2 tables from the cluster used for the health check
- Analyze selected tables to determine throughput statistics and patterns
- Generate scripts to create custom cluster and keyspace creation
- Generate scripts to produce initial state load for testing
- Generate scripts to simulate scenario based workloads
- Execute workload scripts to establish a baseline
- Conduct knowledge transfer of stress test execution and customization
- Goal: Baseline stress testing results; general scripts and implementation guidance; Customer has the ability to create customized scenarios for independent testing
Customer Responsibilities and Dependencies
Responsibilities
- Hands on activities with DSE and associated software under the guidance of a DataStax consultant
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions
- Commit to ensuring appropriate stakeholders are present and able to contribute at scheduled meetings
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- Customer will run provided scripts or execute provided processes to generate data output necessary for the health cCheck and Stress testing activities
- Customer will provide output to diagnostic scripts or process through a manner provided by DataStax in a timely manner
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule.
DSE Dojo
The DSE Dojo packages include up to 30 consulting days for the Program Dojo package and up to 55 consulting days for the Project Dojo package to carry out the following activities. DataStax provides a well thought-out approach to the development of a sustainable modern data platform approach in the form of a DataStax Dojo Services offering, to create sustained learning momentum for developers, architects, and Site Reliability Engineers (SREs), which increases self-sufficiency and builds product champions within your organization. The Program Dojo package expires 180 days from purchase date, and the Project Dojo package expires 365 days from purchase date.
DSE Dojo Scope
- Dojo Kickoff
- 1 day session with the following high level agenda:
- Alignment of organizational development and operations objectives
- Identification of core group of champions and stakeholders for Customer
- Development of an execution plan
- Communication strategy to launch the Dojo to the Customer Developers, Architects, and SREs
- Goal: Dojo outcomes defined, measured, understood, and documented
- Bi-weekly Office Hours
- 2 hour sessions for Developers, Architects, and SREs to ask DataStax Product related questions to a DataStax Architect
- Sessions occur in accordance with a fixed schedule
- Goal: Rapid response to questions and concerns related to data platform and enterprise topics
- Monthly Workshops
- 4 hour targeted sessions for Developers, Architects, and SREs to discuss an agreed upon topic
- Sessions topics are decided upon jointly between the Customerand DataStax and fixed a minimum of two weeks in advance
- Quarterly Developer Day
- Scheduled to occur on months 3 and 6 of execution for the Program Dojo
- Scheduled to occur on months 3, 6, 9, and 12 of execution for the Program Dojo
- 1 day event that provides a place for practical learning of developing scalable applications, common design patterns, best practices, and anti-pattern avoidance
- Agenda for the Developer Day is set a minimum of 2 weeks in advance
- Sessions occur in accordance with a fixed schedule
- Goal: Provide enablement to the Customer’s development team
- Quarterly Hackathons
- Scheduled to occur on months 3 and 6 of execution for the Program Dojo
- Scheduled to occur on months 3, 6, 9, and 12 of execution for the Program Dojo
- Assist Customer in coordinating up to 4 internal hackathons that create a space for adaptation and innovation to develop new approaches and solutions to known Customer problems
- Sessions occur in accordance with a fixed schedule
- Goal: Create excitement and momentum around using Datastax Products to solve the Customer’s data platform and enterprise challenges with velocity
- Quarterly Dojo Checkpoint
- Scheduled to occur on months 3 and 6 of execution for the Program Dojo
- Scheduled to occur on months 3, 6, 9, and 12 of execution for the Platform Dojo
- 2 hour session with the following high level agenda:
- Organizational development progress
- Review achievements
- Discuss plans for the next 3 months
- Make and approve needed adjustments to the execution plan
- Goal: Enterprise assurance that the execution plan is on track and delivering intended value
Customer Responsibilities and Dependencies:
Responsibilities
- Hands on activities with DataStax Enterprise (DSE) and associated software under the guidance of a DataStax consultant
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions
- Commit to ensuring appropriate stakeholders are present and able to contribute at scheduled meetings
- Holding relevant hackathon events using Customer’s licenses for the applicable DataStax Products
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- Possession of and ability to share business needs, goals, requirements, constraints, and similar details pertinent to the customer’s goals and objectives
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
Astra DB Services Packages
Astra DB QuickStart
The Astra DB QuickStart Package includes up to 14 consulting days to carry out the following Services designed for creating a solid implementation plan for a Customer's data modernization strategy on DataStax Astra DB. This Services Package expires 180 days from the purchase date.
QuickStart Package Scope
- On-Boarding and Kickoff with the DataStax Team
- Introduction to DataStax Enterprise Success Team
- Communication of overall goals and expectations
- Overview of the enterprise, it's business, technology context and data needs
- Discussion of project scope and requirements
- Goal: Clear articulation and understanding of how DataStax Services will be delivered
- Connecting and Testing
- Create Astra DB database.
- Create appropriate organizations, users and roles.
- Analyze customer's networking requirements and configure appropriate connectivity to Astra.
- Discuss testing strategies against DataStax Astra DB
- Goal: Astra database accessible and able to run agreed upon connectivity tests
- API Usage
- Basic use of the Stargate API’s available at https://stargate.io/
- Fundamentals of Data Modeling
- Goal: Familiarity with interfacing to the different API’s (GraphQL, Rest, Document, CQL).
- Application development support
- Driver configuration advice.
- Failover and resilience principles.
- Load balancing and networking configuration advice.
- Parallelism and concurrency recommendations.
- Query efficiency coaching.
- Code examples provided for the given use case.
- Code reviews for interaction with Astra DB.
- Enabling your team through Training
- Relevant self-paced DataStax Academy classes identified, curriculum provided to the enterprise
- Targeted coaching sessions provided by our Architects to reinforce topics as needed and as time allows
- Goal: Customers developers confident in developing against DataStax Astra DB to support their use cases. Customers Architects confident with designing systems around DataStax Astra DB.
Customer Responsibilities and Dependencies
Responsibilities
- Provide details of the application/services
- Share project/programme/platform goals and provide Customer’s measurable success criteria for these goals to inform the data modernization strategy
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project as per the Astra DB documentation
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- Customer will procure sufficient Astra DB credits in order to facilitate any required data transfers and workloads as part of the engagement
Astra DB LiteStart
The Astra DB LiteStart Package includes up to 8 consulting days to carry out the following Services for creating a solid implementation plan for a Customer's data modernization strategy on DataStax Astra DB. This Services Package expires 180 days from the purchase date.
QuickStart Package Scope
- On-Boarding and Kickoff with the DataStax Team
- Introduction to DataStax Enterprise Success Team
- Communication of overall goals and expectations
- Discussion of project scope and requirements
- Goal: Clear articulation and understanding of how DataStax Services will be delivered
- Connecting and Testing
- Create Astra DB database.
- Create appropriate organisations, users and roles.
- Analyse customer's networking requirements and configure appropriate connectivity to Astra.
- Discuss testing strategies against DataStax Astra DB
- Goal: Astra database accessible and able to run agreed upon connectivity tests
- API Usage fundamentals including:
- Basic use of the Stargate API’s available at https://stargate.io/
- Fundamentals of Data Modeling
- Goal: Familiarity with interfacing to the different API’s (GraphQL, Rest, Document, CQL).
- Application development support fundamentals including:
- Driver configuration advice.
- Failover and resilience principles.
- Load balancing and networking configuration advice.
- Parallelism and concurrency recommendations.
- Query efficiency coaching.
Customer Responsibilities and Dependencies
Responsibilities
- Provide details of the application/services
- Share project/programme/platform goals and provide Customer’s measurable success criteria for these goals to inform the data modernization strategy
- Commit to self paced training, and attend sufficient classes to be able to partake in the workshop discussions.
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project as per the Astra DB documentation
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- Customer will procure sufficient Astra DB credits in order to facilitate any required data transfers and workloads as part of the engagement
Astra DB Zero Downtime Migration
The DataStax Astra DB Migration Package includes up to 16 consulting days to carry out the following services designed for migrating workloads from either open-source Apache Cassandra or DataStax Enterprise to DataStax Astra DB. The DataStax Astra DB Migration Package expires 180 days from the purchase date.
Astra Migration Package Scope
- Planning and Assessment - Plan the overall migration approach including
- Project structure (role and responsibilities, deliverables, sign off procedures)
- Detailed review of applications and data models
- Collaboration to determine migration methods (live or offline) and how to migrate historical data
- Assist Customer in assessing source clusters and network
- Assist Customer in establishing test criteria for migrated databases
- Goal: Documented migration approach including details of performed assessment(s)
- Preparation and Testing - Establish all the tools and target environments
- Assist Customer in creating the Astra DB databases
- Assist Customer in establishing network connectivity
- Provide migration tools and assist Customer to set up and test migration tools for live and historical data
- Assist Customer in modifying any client applications to access live proxy
- Goal: Astra DB database accessible and able to run agreed upon connectivity tests
- Execution - All tools and applications have been modified, and data is being migrated from the source instance to Astra DB in accordance with the agreed plan
- Customer validates that the real-time requests are routed to both clusters via the proxy (applicable for live migrations)
- Customer migrates historical data via DSBulk or Spark Migrator
- Assist the Customer to verify data migration and monitor new Astra DB cluster
- Goal: Target data migrated to Astra DB
- Post Migration Review - decommission the migration tools
- Assist Customer with row count validations for each table with DSBulk
- Assist Customer with full data comparison using cassandra-diff
- Disable the migration proxy
- Goal: All agreed workloads fully migrated to Astra DB in accordance with the agreed plan
- Documentation and Training
- Training provided on the fundamentals of Astra as applicable.
- Note: All advice fully documented and tracked within Jira
Customer Responsibilities and Dependencies
Responsibilities
- Run and provide diagnostics on source Apache Cassandra (“c*”) environment(s)
- Provide details of the application/services using c*
- Implement any configuration and application changes required to ensure Astra DB guardrail compliance and migration tool compliance
- Customer to set up Astra DB environment(s) as guided
- Install and run Apache Spark™ if needed for the offline migration
- Configure and run any required data transformation scripts
- Install and configure the Proxy as per advice
- Hands on running of the migration
- Assist with the post migration data validation exercises
- Perform all migration preparations and tasks in a timely manner in accordance with the agreed time scales which will take no more than 6 months to complete.
- Sign off the migration as complete
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the services shall not be extendedAll critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer shall provide access to the infrastructure team with core C* admin knowledge
- Customer shall set up and make available Astra DB environment(s) to DataStax.
- Customer will procure sufficient Astra DB credits in order to facilitate any required data transfers and workloads as part of the engagement
- Customer shall provide timely access to install local migration tooling
- Customer shall provide resources to run and test the migration
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- Migration Package is limited to 5 applications / microservices (a client process that connects to a cluster through the native protocol usually using a Datastax driver) and 2 environments.
- All applications must meet the Astra DB guardrails and Astra DB database limits, as applicable (# of tables) etc., which can be found here (https://docs.datastax.com/en/astra/docs/datastax-astra-guardrails.html).
Astra DB SpringBoard
The DataStax Astra DB Springboard Package includes up to 60 consulting days to carry out the following Services designed for preparing, running and delivering the first application running on DataStax Astra DB via our Springboard methodology. This Service Package expires 180 days from purchase date.
Springboard Package Scope
- Week One Preparation
- A DataStax Engagement Manager will assist in launching the Springboard project and work with the Customer to create a project charter that would include the following:
- Identify business outcomes
- Discover Customer application use cases and associated non-functional requirements
- Design application architecture
- Facilitate competing design ideas and solutions
- Coordination of base level Astra DB developer training for the development team via the DataStax academy and ‘ask me anything’ session run by technical consultants
- Create Astra DB database.
- Create appropriate organisations, users and roles.
- Goal: Customer applications able to connect to Astra DB and execute requests, base level of developer training completed, Springboard project planned and ready to go.
- Design Sprint (a 5 working day period). In collaboration with the Customer, DataStax will carry out the following activities
- Review of the overall system architecture stack and see where Astra DB fits with a focus on data flow.
- Review the use case: type of data, payload size, expected throughput per dataset, data retention, replication factor, consistency requirement
- Identify potential application candidates for the springboard approach
- Review application candidates for ROI and suitability for rapid development
- Iterate on high level designs and create a data model of the preferred candidate
- Define major application components
- Goal: choose a candidate application to develop, along with estimates of the development effort for those components and an execution plan for the tasks needed
- Development Sprints. In collaboration with the Customer, DataStax will carry out the following activities
- Assist the Customer team on the data modeling and application development
- Define required integrations
- Set up load tests (NoSQL Bench)
- Demonstrate, test and receive feedback at the end of each 5 day sprint on the evolving MVP
- Goal: refine the data model and application
- Production Ready
- Provide best practices around:
- Capacity planning
- Fault tolerance planning
- Backup and restores
- Goal: First application running on Astra DB
- Engagement Management
- Facilitate the design sprint sessions
- Facilitate Stakeholder updates / MVP reviews
- Capture and clarify the goals, timelines, risks, and logistics of the application
- Create and manage the backlog of tasks
- Manage progress against plan
- Manage issues, risks, and provide mitigation actions
- Map business objectives to technical requirements
Customer Responsibilities and Dependencies
Responsibilities
- Assist with all joint activities as outlined in the scope
- Provide, install and configure any required middleware where applicable
- Configure and run any required data load and transformation scripts
- Perform end to end tests
- All parties are open and transparent about any expected resource constraints
- Customer stakeholders have the necessary authority to make decisions
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer shall provide the required accessibility to their Astra DB Database
- Customer will procure sufficient Astra DB credits in order to facilitate any required data transfers and workloads as part of the engagement
- The MVP is not for a live migration
- Customer shall provide resources to develop the application
- Architect team will be provided to assist DataStax team members with required information to complete engagement tasks.
- There will be no change in project priorities impacting the allocated resources or supporting resources
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
- There will be no change in project priorities impacting the allocated resources or supporting resources
- An agreed-upon high-level application architecture and approach, without changes after the Design Sprint Phase
- The application can be developed within the time frame in accordance with best practice
Additional Terms
- Any application code provided as part of this package is: (a) provided independently of any other project or relationship with Customer; (ii) provided as-is and for educational purposes only; and (iii) provided without warranty or support.
- DataStax excludes any and all liability with respect to any provided application code.
- The application code is licensed to Customer for internal use and shall not be transferred or re-licensed without DataStax’ prior written consent.
DataStax Luna Packages
Luna Essentials Diagnostics and HealthCheck
The Luna Essentials Diagnostics and HealthCheck Package includes up to 3 consulting days to carry out the following Services for a complete diagnostic scan of your cluster to help troubleshoot and improve your open-source Apache Cassandra® configuration. This Services package expires 180 days from the purchase date.
Luna Essentials Scope
- Schema Exchange: We ask you to send the CQL schema for your keyspace and a brief description of the most important tables and how they are used in the application. We use this information for our kick-off meeting.
- Kick-off Meeting: Our two teams get together on a video call to meet each other and discuss the application and your schema in more detail.
- Collector Delivery: We provide you with a copy of our collector script via a Jira ticket, which will gather information from your nodes which you can send back to DataStax for analysis. Customer should review the diagnostic log before sending to ensure no sensitive or personal information is included.
- Running the Collector: Your team runs our collector script against your cluster.
- Analysis: DataStax OSC consultants analyze your data with both automated tools and manual analysis. The team will create a report that provides a full diagnostic summary of your cluster. To support our analysis, we may ask followup questions via email, Jira, or video calls.
- Report Delivery: We send you the report and arrange a follow-up meeting.
- Client Review: Your team reviews the document within 48 hours and compiles a list of questions and possible next steps.
- Summary of Findings Presentation: The two teams get together on a video call to discuss our key findings, recommendations, and how they will help your clusters. We will drill into the most critical areas of the report and address any questions that came up during your review.
- Provide recommendations on how to triage any remediation work: If there are recommendations that your team needs assistance implementing, we can recommend the follow on work and schedule additional time to address through additional Consulting Days.
- Goals: Reduced risk of an unstable cluster due to inaccurate configuration or incorrect hardware, Reduced immediate and future scaling risks,Increase in your operational team’s confidence by arming them with best practices
Customer Responsibilities and Dependencies
Responsibilities
- Hands on activities with the open-source Apache Cassandra database under the guidance of a DataStax consultant
- Provide details of the application/services and CQL schema.
- Running the diagnostics collection scripts and send the results to DataStax
- Share project/programme/platform goals and provide Customer’s measurable success criteria
- Commit to self paced training
- Implementing any suggested recommendations is the Customers responsibility
Dependencies
The following are Customer requirements for the Services. If Customer does not provide timely responses and access as indicated below, the time allotted for delivering the Services shall not be extended
- All critical prerequisites for which Customer is responsible shall be met at the start of the project
- Customer shall provide timely access to the log files and other diagnostic reports
- Customer will ensure that personnel with appropriate skills and experience are available to meet with DataStax as reasonably necessary
- Customer will provide timely responses to DataStax inquiries from knowledgeable personnel in timeframes that do not impact the schedule
Additional Terms
The collector script delivered part of this package is: (a) provided independently of any other project or relationship with Customer; (ii) provided as-is and for internal use in conjunction with these Services only; and (iii) provided without warranty or support.
Prepaid Consulting Days (T&M Services)
Once Customer has purchased its designated prepaid service days, the DataStax services team will engage with Customer to define the activities as mutually agreed upon between DataStax and Customer. The activities during the Services days may include as an example one or more of the following:
- Assisting Customer with DataStax related product installation and configuration
- Assisting in the definition and design of the logical architecture of DataStax Products
- Providing guidance on data models
- Assisting with the deployment and operation of production and development environments
- Assisting Customer with configuration and management tools where applicable
- Assisting with the design and execution of appropriate load and performance tests
- Recommend appropriate key performance metrics and alert thresholds
- Advise on Datastax best practices relating to DataStax Products, tools or agreed upon related open-source projects
- Assist with capacity planning relating to DataStax Products, tools or agreed upon related open-source projects
- Application design review
- Proactive identification and mitigation of project risk areas
- Reviewing performance optimization techniques
- Provide advice and hand-holding through the Datastax academy pre-recorded courses
- Provide coaching/training on topics relating to DataStax Products
Additional Terms For All Service Packages
See the DataStax Services Terms ( https://www.datastax.com/legal/service-terms ) for details and terms of Services delivery.
- This is a pre-paid non-cancellable offering
- If the Customer requires additional consulting days to cover other services outside the scope of the applicable package, other consulting services will be available to purchase via a separate Order Schedule.
- Services will be delivered remotely.
- The DataStax professional working day is eight hours, including reasonable time for meals. DataStax expects that Customer personnel are available during normal working hours
- The packages are for the Services listed therein only. Customers are required to have a separate license for their use of DataStax Enterprise and/or their access to DataStax Astra.
- DataStax recommendations and content will be tailored based upon the information received from the Customer. Changes in Customer’s project scope, errors or omissions in provided data points, or similar discrepancies in the information received by DataStax may result in recommendations that will not best fit the Customer’s needs.
- For the avoidance of doubt, the goals stated above are for Customer informational purposes only.
- Any software that is provided or recommended by DataStax professionals as part of the Services that is under an open source license is provided on an AS IS basis and is subject to the terms of such open-source license.
- For T&M based services, notwithstanding any other provisions, the Services shall not include any application or code development. Further, while DataStax will make the appropriate recommendations with the information then-available, DataStax cannot make any performance guarantees. DataStax cannot guarantee that all of the recommendations can be completed during the time allotted but will complete as many of the recommendations as time permits. DataStax will provide a separate proposal for any additional time required to complete the outstanding tasks.