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Traditional data protection is three decades old and is definitely showing its age. Poor management oversight, data growth, virtualization, data silos and stricter SLAs all conspire to strain traditional backup to the breaking point.
Traditional backup usually follows a set pattern: full baseline backup, daily incremental backup, full weekly backup. When backup volumes were smaller and fewer, this process worked well enough. But a daily operation creates backup data that is missing up to 20 hours or more of current data input, making it impossible to restore to a meaningful recovery point objective (RPO).
The obvious solution is continuous backup with frequent snapshot recovery points. But this type of backup product can be expensive and resource-intensive, and IT often reserves it for a few Tier 1 transactional applications. But what happens to large and popular business applications such as email, back office files and content management systems? Failed backup and recovery can still devastate a business.
Let’s look at why traditional backup is so difficult to do well these days, and why the risk and expense are so high.
- Lack of operational oversight is a challenge for IT. Backup and data integrity verification are difficult to impossible, and there is little confidence in reaching recovery time objectives (RTOs) and RPOs. Continuous data protection (CDP) with integrity verification provides more confidence but is resource-hungry and expensive to run.
- Exponential data growth results in poor backup and restore performance and requires frequent provisioning. IT is under big pressure to lower costs, but they must protect growing data at the same time—and adding more storage and data protection is not cheap. Even backup to a public cloud steadily increases costs as the cloud stores more and more data.
- Virtualization growth has a serious impact on backup resources. Startups have introduced innovative products optimized for virtual networks, and mature data protection vendors added virtual support to their legacy backup applications. But the startups lacked the resources to develop for the physical environment as well, and well-established backup vendors tried to tack on new support code to decades-old applications.
- Inefficient data silos have been around for years and are more costly and inefficient than ever. Separate backup products for virtual and physical networks only add to the silo problem. IT is left with limited backup scalability and poor support for multiple domains, and ROI continues to diminish. Silos also impact WAN transport costs. Limited bandwidth slows data movement to and from remote sites and the cloud, which affects the speed of replication and recovery. IT purchases additional WAN accelerators to provide fast remote transport for multiple point products, which adds to inefficiency and cost.
- Service level agreements (SLAs) are crucial to maintaining application availability. However, too many data protection products offer mediocre insight at best into application recoverability. And data silos running backup point products worsen the problem, making it very difficult to test and remediate recoverability.
- Heavy management overhead is epidemic in traditional backup environments. Numerous backup systems are costly to purchase, upgrade and manage. Backup customers expect features like automated scheduling, policies, flexible backup targets and replication. But adding these features to multiple backup products across multiple data silos only increases expense and complexity. These capabilities are necessary to modern data protection but make the full backup infrastructure very difficult to manage (and afford).
Using aging backup products may be painful but there is a lot of inertia around replacing them. IT knows very well that they have to buy software, update hardware, buy third-party products to fill in the gaps, migrate old backup data so it can be restored, and integrate the whole package with existing network tools. Overwhelmed IT departments often decide just to give the old backup one more year or buy a stop-gap tool just to get by. In the face of these pressures, the backup replacement had better be compelling and cost-effective enough to justify the switch.
This is where evolutionary backup technology appears front and center. Unified backup platforms are a strong trend because they extend unified data protection to applications, virtualized networks, physical networks and multiple operating systems. They are based on the concept of snapshots and changed block tracking for near-continuous backup, global dedupe, automatic backup verification and instantaneous restore.
Figure 1. Optimal backup flow