Overview

Business Continuity & High Availability Services are built for the systems that must never stop. Starting from explicit RTO (Recovery Time Objective) and RPO (Recovery Point Objective) targets, we remove single points of failure layer by layer across ingress, application, data, storage and site infrastructure. Highly available clusters, automatic failover, disaster recovery and regular drills cut unplanned downtime to seconds or make it invisible, while planned changes such as releases, scaling and upgrades also run without interruption. We cover Linux and domestic Chinese operating systems, mainstream and domestic databases, Kubernetes and private clouds.

Why Systems Go Down

Most outages are not caused by broken hardware, but by single points of failure and a lack of rehearsal:

• Ingress: a single load balancer or network link means one device failure takes the whole site offline.
• Application: single-instance deployments, locally bound sessions, releases that require downtime.
• Data: a single database instance or asynchronous replication, with data loss and manual failover.
• Backups that have never been restore-tested and cannot be used when needed.
• Site-level risk: power loss, network outage, or a cloud availability zone failure.
• Human change: ungraduated releases, configuration mistakes, untested capacity leading to cascading failure.

We start with a single-point inventory and business impact tiers, remove each risk using the six-layer architecture below, and prove with real drills that failover and failback actually work.

Six Layers of High Availability

What matters is not how many components are deployed, but that every layer has health checks, automatic failover and a documented failback plan, validated by scheduled drills. We select technologies based on your existing stack rather than introducing new components unnecessarily.

RTO / RPO Targets by Tier

These are typical design targets. Actual values depend on workload tiers, link quality and load / drill results, and are agreed in the SLA.

What We Deliver

• Assessment: topology review, single-point inventory, incident history, business impact tiers and an availability risk report.
• Design: RTO / RPO targets, HA and DR architecture, technology selection, failover / failback runbooks and migration path.
• Implementation: load balancing and VIPs, clusters and replicas, database replication, backup archiving, monitoring and automated failover, tuned for your environment.
• Drills and load testing: simulate node, primary database and site failures to verify automatic failover, data consistency and failback; full-link load tests for capacity.
• Ongoing operations: 24/7 monitoring and response, patching and upgrades, configuration and change management, quarterly drills and reviews.
• Documentation: architecture diagrams, emergency runbooks, operations manuals, drill reports, monitoring dashboards and SLA reports.

Industry Cases (Representative Scenarios)

The following are representative solution patterns grouped by industry, illustrating how HA design changes under different business constraints.

Financial services · Core trading and payments

• Challenge: Regulation and business require RPO=0 and RTO within 30 seconds; no data loss or extended outage is acceptable.
• Approach: Active-active across two data centres in one city, GSLB traffic scheduling, stateless application replicas in both centres, MySQL MGR / semi-synchronous replication with automated leader election and synchronous commit for critical data, cross-centre Redis Cluster, continuous archiving to a remote DR centre, full-link monitoring and quarterly live failover drills.
• Outcome: Node or site failures fail over automatically without interrupting transactions; failover behaviour and data consistency are evidenced by drill reports for audit and compliance.

E-commerce and retail · Peak events and frequent releases

• Challenge: Traffic can reach ten times normal levels during campaigns, releases cannot require downtime, and hot items / inventory become bottlenecks.
• Approach: Load balancing with K8s HPA autoscaling, multi-level Redis caching with hot-key detection, read/write splitting, sharding and connection pooling, message queues for peak shaving, blue-green / canary releases with one-click rollback, and full-link load testing before campaigns.
• Outcome: Scaling and releases are invisible to users, failed nodes are drained automatically, and critical paths stay stable at peak traffic.

Manufacturing · MES and production lines

• Challenge: Lines run 24/7, stoppages are extremely costly, and shop-floor networks and edge devices are less reliable than the data centre.
• Approach: Edge-side active-standby pairs with Keepalived VIP, local caching and store-and-forward so a network flap does not stop production, central database replication with scheduled sync, graceful degraded offline operation, alerts routed directly to shift teams, and regular failover drills.
• Outcome: Single-node failures switch over in seconds, short network outages do not stop the line, and data is automatically replayed and verified after recovery.

Government and healthcare · Public service platforms / HIS

• Challenge: Clear compliance requirements, no downtime during working-hour peaks, and a need for demonstrable disaster recovery capability.
• Approach: Three centres in two regions, multi-active applications with database replication and continuous archiving, auditing / backup / access controls aligned to classified protection requirements, emergency runbooks with scheduled live failover and failback drills, plus 24/7 on-call and SLA reporting.
• Outcome: Business continuity and compliance requirements are met, DR capability is evidenced by drill records, and planned maintenance can be performed online.

Engagement Process

• Step 1: Requirements and workload tiering, agree RTO / RPO and budget.
• Step 2: Current-state review and single-point assessment with a risk report.
• Step 3: HA / DR architecture design and review.
• Step 4: Phased implementation, non-critical first, to control change risk.
• Step 5: Failover drills, load-test acceptance and documentation handover.
• Step 6: Ongoing operations and periodic drills.

Why Work With Us

• Nearly 20 years of Linux technical services, supporting tens of thousands of enterprises.
• Hands-on experience with MySQL, PostgreSQL, Redis, Kubernetes and domestic stacks including GaussDB and OceanBase.
• Senior engineers with production experience; designs are judged by whether they can be deployed and drilled.
• 24/7 technical support with fast incident response.
• Standardised processes, transparent pricing and disciplined delivery.