Reverse Archiving: The differences between short term and long term data retention and their implementation

Akins IT • March 18, 2016
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When discussing or reviewing data retention and archiving data, what you should determine is if the data is going to be for short term or long term storage.  Generally speaking, short term archived data is part of a disaster recovery plan. Some examples of situations where you may wish to pull data from archives would be for accidental deletion, data corruption, or maliciously effected files. Long term storage is going to generally be data that is beyond 30 to 45 days, and often is stored off local storage, off site, or offline on media like DVD or tape. This type of data would likely be recovered for historical review, legal requests, or compliancy regulations.


It's also important to think about the cost differences.   First, repeatedly archiving data multiple times is going to add extra expense.  This should not be difficult for you to overcome by using an archive mechanism that evaluates previous backups with a CRC or MD5 value and compares that value to the current proposed data set to be archived. Additionally before being archived, the file or directories can be reviewed for their date time stamp. By reducing repetitive storage you should find you can lower your costs associated with the actual storage by preventing usage of physical media, and by lowering time of human interaction of the archiving process.


The downside to restricting the archive process to prevent data duplication is that if the single data set is lost for any reason, there is no other way of retrieving the data. Performing a mixture of the two processes, also known as Active Archiving, allows the cutting of costs with leveraging minimal amounts of data duplication. While this requires more effort upfront from IT, the long term benefits to a solid process allow for more data to be archived at a lower total cost of operation.

By Shawn Akins October 20, 2025
October 20, 2025 — Early today, Amazon Web Services experienced a major incident centered in its US‑EAST‑1 (N. Virginia) region. AWS reports the event began around 12:11 a.m. PT and tied back to DNS resolution affecting DynamoDB , with mitigation within a couple of hours and recovery continuing thereafter. As the outage rippled, popular services like Snapchat, Venmo, Ring, Roblox, Fortnite , and even some Amazon properties saw disruptions before recovering. If your apps or data are anchored to a single cloud, a morning like this can turn into a help‑desk fire drill. A multi‑cloud or cloud‑smart approach helps you ride through these moments with minimal end‑user impact. What happened (and why it matters) Single‑region fragility: US‑EAST‑1 is massive—and when it sneezes, the internet catches a cold. Incidents here have a history of wide blast radius. Shared dependencies: DNS issues to core services (like DynamoDB endpoints) can cascade across workloads that never directly “touch” that service. Multi‑cloud: practical resilience, not buzzwords For mid‑sized orgs, schools, and local government, multi‑cloud doesn’t have to mean “every app in every cloud.” It means thoughtful redundancy where it counts : Multi‑region or multi‑provider failover for critical apps Run active/standby across AWS and Azure (or another provider), or at least across two AWS regions with automated failover. Start with citizen‑facing portals, SIS/LMS access, emergency comms, and payment gateways. Portable platforms Use Kubernetes and containers, keep state externalized, and standardize infra with Terraform/Ansible so you can redeploy fast when a region (or a provider) wobbles. (Today’s DNS hiccup is exactly the kind of scenario this protects against.) Resilient data layers Replicate data asynchronously across clouds/regions; choose databases with cross‑region failover and test RPO/RTO quarterly. If you rely on a managed database tied to one region, design an escape hatch. Traffic and identity that float Use global traffic managers/DNS to shift users automatically; keep identity (MFA/SSO) highly available and not hard‑wired to a single provider’s control plane. Run the playbook Document health checks, automated cutover, and comms templates. Then practice —tabletops and live failovers. Many services today recovered within hours, but only teams with rehearsed playbooks avoided user‑visible downtime. The bottom line Cloud concentration risk is real. Outages will happen—what matters is whether your constituents, students, and staff feel it. A pragmatic multi‑cloud stance limits the blast radius and keeps your mission‑critical services online when one provider has a bad day. Need a resilience check? Akins IT can help you prioritize which systems should be multi‑cloud, design the right level of redundancy, and validate your failover plan—without overspending. Let’s start with a quick, 30‑minute review of your most critical services and RPO/RTO targets. (No slideware, just actionable next steps.)
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