Resiliency. Punctual peak demands or long term high demands are reflected in the design of systems and services (memory, access and throughput capacities, etc) in order to ensure resilience and consistency of processing. • The infrastructure is designed to function under high demand and can handle peak demands.
Resiliency. During the term of the Agreement and all Orders and Statements of Work under the Agreement, Provider shall maintain a high availability (“HA”) solution and related plan that is consistent with Industry Standards for the Provider Services being provided. The HA solution is required to have a highly available technical architecture across all the application tiers (e.g., Web, application, database, etc.) with nodes deployed across different physical data centers (e.g., across AWS Availability Zones) with no more than one (1) hour of recovery time and data loss. If an HA solution is not able to be deployed, Provider shall maintain a disaster recovery (“DR”) solution and related plan that is consistent with Industry Standards for the Provider Services being provided. The DR solution will ensure identified critical capabilities are restored within a twenty-four (24)-hour period with no more than twelve (12) hours of data loss in the event of a declared disaster or major system outage. Provider will test the HA or DR solution and related plan at least twice annually or more frequently if test results indicate that critical systems were not capable of being recovered within the periods above. Provider will provide summary test results for each exercise which will include the actual recovery point (how much data lost, if any) and recovery times (time to bring back applications and/or the Provider Services, if not automated failover) achieved within the exercise. Provider will provide agreed upon action plans to promptly address and resolve any deficiencies, concerns, or issues that may prevent the critical functionality of the application and/or Provider Services from being recovered within twenty-four (24) hours in the event of a disaster or major system outage. Further, Provider will notify Accenture, in a timely manner, when Provider initiates Provider’s business continuity plan.
Resiliency. GitLab will architect and maintain an underlying cloud infrastructure with commercially reasonable resiliency for all data, compute, and network services. At a minimum, GitLab will maintain the highest documented level of “GitLab Reference Architecture” as detailed on GitLab’s Website.
Resiliency. Projects analyzed and awarded points based on whether the project improves or addresses an identified resiliency issue on a vulnerable corridor.
Resiliency. Multi Availability Zones are enabled on AWS and Solytics conducts Backup Restoration Testing on regular basis to ensure resiliency.
Resiliency. (1) Shall have the capability to extend the control plane across multiple active switches using any Industry standard Protocols making it a virtual switching fabric that will enable interconnected switches to perform as single Layer-2 switch and Layer-3 router 24 (3) IEEE 802.3ad Link Aggregation Control Protocol (LACP)
Resiliency. A key element for supporting youth at-risk. The Clearing House, 73(2), 121-123. Lake, S.E. Esq. (Ed.). (2000) Alternative schools: Legal guidance for serving special education students. Xxxxxxx, PA: LRP Publications. Xxxxx, X. (1998). Characteristics of alternative schools and programs serving at-risk students. The High School Journal, 81 (4), 183-197. Xxxxx, C., & Xxxx, C. (1997). At-risk students in second chance programs (Research Report No. 20). Minneapolis, MN: University of Minnesota, Enrollment Options for Students with Disabilities Project. Xxxxx, C., & Xxxx, C. (1999a). At-risk students attending second chance programs: Measuring performance in desired outcome domains. Journal of Education for Students Placed At Risk, 4 (2), 173-192. Xxxxx, C., & Xxxx, C. (1999b). At-risk students in second chance programs: Reasons for transfer and continued attendance (Research Report No. 21). Minneapolis, MN: University of Minnesota Enrollment Options for Students with Disabilities Project. Xxxxx, C, & Xxxxxxx, S. (1995). Characteristics of alternative schools and programs serving at-risk students (Research Report No. 16). Minneapolis, MN: University of Minnesota Enrollment Options for Students with Disabilities Project. Xxxx, X. (1999). Students with and without disabilities attending alternative programs: Reasons for dropping out of an returning to school (Research Report No. 30). Minneapolis, MN: University of Minnesota, Enrollment Options for Students with Disabilities Project. Xxxx, X., & Xxxxx, X. (2000). Students at risk attending high schools and alternative schools: Goals, barriers and accommodations. The Journal of At-Risk Issues, 6 (2), 11-21. Xxxxx, X.X., & Xxxxxxxxx, X. (1999). Alternative education: From a “last chance” to a proactive model. The Clearing House, 73 (2), 86-88. Xxxxxx, X. (1992, April). Secondary school students classified as seriously emotionally disturbed: How are they being served?. Paper presented at the American Educational Research Association 1997 Annual Meeting, San Francisco, CA. Xxx, X. X., & Xxxxxxxx, X.X. (1998). Academic persistence and alternative high schools: Student and site characteristics. The High School Journal, 81 (4), 199-208. Xxxxxx, X. (1991). Alternative education (XXXX Document Reproduction Service No. ED 349 652). Clemson, SC: National Dropout Prevention Center. National Center for Education Statistics (2000). Dropout rates in the United States: 1999 (NCES 2001-022). Washington, DC: U.S. Department of Educ...
Resiliency. Another set of test cases will focus on the resiliency of the EFSP to handle errors coming from xXxxxXxxxx.xxx, unexpected xXxxxXxxxx.xxx outages as well as scheduled xXxxxXxxxx.xxx maintenance windows and outages. A final test case will ensure that the EFSP has implemented an appropriate virus scanning solution to ensure that no infected documents make it to xXxxxXxxxx.xxx. EFSPs must exercise each of the use cases designated for EFSPs during certification and account for every possible failure outcome. This includes providing validation logic to prevent all preventable failures, as well as error handling for both non-preventable failures (user error) and preventable failures (in the event that the EFSP’s prevention measures fail).
Resiliency. Antora’s low-cost thermal battery could provide the multi-day resiliency that 36 traditional energy storage technologies cannot.
Resiliency. Certain parts of the SLA outlined above are dependent on a resilient architecture. Where such resilience is removed by the End User or at their request, or by any agent working on behalf of the End User, any associated part of the SLA shall be suspended until the resilient architecture is restored.
