Failover Clustering (High-Availability, HA)
Tyne and Wear > Sunderland
The table below provides summary statistics and contractor rates for jobs advertised in Sunderland requiring Failover Clustering skills. It covers contract job vacancies from the 6 months leading up to 26 July 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 26 Jul 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
6 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Failover Clustering |
1 |
0 |
0 |
| As % of all contract jobs in Sunderland |
5.88% |
- |
- |
| As % of the Systems Management category |
100.00% |
- |
- |
| Number of daily rates quoted |
1 |
0 |
0 |
| Median daily rate (50th Percentile) |
£225 |
- |
- |
| Tyne and Wear median daily rate |
£225 |
- |
- |
Failover Clustering falls under the Systems Management category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring systems management skills in Sunderland.
| Contract vacancies with a requirement for systems management skills |
1 |
1 |
1 |
| As % of all contract IT jobs advertised in Sunderland |
5.88% |
14.29% |
10.00% |
| Number of daily rates quoted |
1 |
1 |
1 |
| Median daily rate (50th Percentile) |
£225 |
£550 |
£180 |
| Median % change year-on-year |
-59.09% |
+205.56% |
-55.00% |
| Tyne and Wear median daily rate |
£425 |
£475 |
£413 |
| % change year-on-year |
-10.53% |
+15.15% |
-31.25% |
Failover Clustering
Job Vacancy Trend in Sunderland
Historical trend showing the proportion of contract IT job postings citing Failover Clustering relative to all contract IT jobs advertised in Sunderland.
Failover Clustering
Daily Rate Trend in Sunderland
Contractor daily rate distribution trend for jobs in Sunderland citing Failover Clustering.
Failover Clustering
Co-Occurring Skills & Capabilities in Sunderland by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: