Dropbox status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Dropbox reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Dropbox users through our website.

• Errors (50%)
• Sign in (33%)
• Website Down (17%)

Live Outage Map

The most recent Dropbox outage reports came from the following cities:

City	Problem Type	Report Time
Bournemouth	Sign in	1 month ago
Paramaribo	Errors	2 months ago
Bogotá	Website Down	2 months ago
Auxerre	Errors	2 months ago
Salt Lake City	Sign in	2 months ago
Madrid	Errors	3 months ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

• 
  𝗦𝗵𝘆𝗻𝗲 (@YuhItsShyne) reported 3 minutes ago

  @zenithfl4re lots of people also use bunkr or gofile if dropbox is giving you trouble and you dont feel like using google drive!

• 
  jss (@jsensarma) reported 6 minutes ago

  @pHequals7 They are usually slow but come around. Their customers are not going anywhere. (Google Drive took years, maybe a decade to show up, after Dropbox)

• 
  Kirby (@StewartKirbyTNP) reported 10 minutes ago

  @Syndicate You seriously need to get a NAS and and ftp server for the vlogs. It would make Orion or whoever has to edit that days life easier as websites like dropbox, drive ect crawl to a stop when it comes to large volumes of data. An FTP server goes WHEEEEEEEE

• 
  Jack (@jackcoder0) reported 12 minutes ago

  1. Kill the Login Items the apps launching before you even sit down. Every time you log in, your Mac quietly launches 10-25 apps in the background. Spotify. Slack. Zoom. Google Drive. Dropbox. Creative Cloud. OneDrive. Each one consumes CPU and memory before you've opened a single window. System Settings → General → Login Items & Extensions. Review the list. Remove everything you don't need the instant you log in. You can always open them manually when you actually need them. His Mac had 19 login items. He needed 3. He removed 16. Boot time dropped from 2 minutes to 18 seconds. The first few minutes of every session — that sluggish, unresponsive window where nothing works gone.

• 
  John Iosifov ✨💥 Ender Turing | AiCMO (@johniosifov) reported 12 minutes ago

  82% of enterprises already have AI agents or workflows their security teams didn't know existed. This is shadow IT, but worse. In 2015, the problem was employees signing up for Dropbox without IT approval. Unmanaged file storage. Annoying but recoverable. In 2026, the problem is employees spinning up autonomous agents that can take actions, trigger workflows, move data, call APIs — and nobody in security has visibility into what they're doing or what they've touched. The governance gap isn't theoretical. Only 1 in 5 companies has a mature governance model for autonomous AI agents (Deloitte). 40% of enterprise applications will integrate task-specific AI agents by end of 2026 (up from <5% in 2025). The deployment curve is vertical. The governance curve is flat. What makes this different from shadow IT: Shadow IT was passive. A Dropbox account stored files. It didn't autonomously query your CRM, write to your database, send emails on behalf of employees, or escalate access requests. Shadow AI agents are active. They act. They modify state. They leave no obvious audit trail because nobody defined what the audit trail should look like. 29% of agent deployments are abandoned within 90 days. The most common reason cited isn't "it didn't work" — it's "we discovered it was doing things we didn't intend and couldn't stop." That's not a failure of the agent. That's a failure of governance. The six things production agents need that pilots skip: defined scope (what can the agent do, what can't it do), observability (every action logged), rollback mechanism (how to undo what it did), access controls (least privilege, not "give it admin and see what happens"), human escalation paths (when does the agent ask a human?), and incident response (who gets called when the agent does something unexpected at 2am). We're running 1,959+ autonomous sessions in this repo. Every session is scoped, logged, and committed to ***. The agent can't touch anything outside /agent and /.claude/skills. That's not a coincidence — it's the governance model. The 18% of enterprises that have governed their agents will have production systems running smoothly in 12 months. The 82% will be cleaning up shadow agent incidents.

• 
  markusdd (@markusdd5) reported 16 minutes ago

  I have the feeling - when I see who is posting this table over and over on here - that this is just a campaign so institutionals can get in cheaper. How am I remotely interested in the statistics within a 1 year window. (apart from the fact that there are many companies on that list that neither have a unique selling point (Dropbox, Doordash, Pinterest etc..) nor were they economically super great investment casess with a lot of upside. It is of course very likely that SPCX will trade extremely volatile within the first year and that we will also see cash-outs by long term private equity holders once the lock-period expires. So if you have cash set aside - no investment advice - consider just not throwing it in all at once. I personally plan on playing this in 3 tranches. 1/3 today, 1/3 on the first significant draw down and then another 1/3 whenever I feel it is appropriate.

• 
  ESCHA (๑ˊ͈ ^ˋ͈) (@eschadiol) reported 16 minutes ago

  @joshpuckett i worked on an app called roll back then, dropbox, path, and facebook made offers, then fb made memories, path closed down, and carousel was deprecated, would have been so sick to cross paths at that time

• 
  Jack (@jacklandas) reported 16 minutes ago

  alibaba banning claude code over backdoor fears is the new "no dropbox on company laptops" every big corp security team is about to have a list. cursor approved, claude code not. windsurf maybe. this fragmentation is going to be a real problem for devs who just want to ship

• 
  HodlReaper (@HodlReaper) reported 16 minutes ago

  HE PAYS $8 A MONTH FOR NETFLIX, DROPBOX, AND AN IT DEPARTMENT THAT NEVER SLEEPS. One server. One guy. Zero subscriptions. He runs Debian. Free. No license, no monthly fee. Every app lives in its own Docker container. Like apps on a phone. One breaks, the rest keep running. Claude Code runs the whole thing. It writes scripts. It watches the other apps. At 2 AM, when something crashes, it fixes it before he wakes up. He built his own IT department. It doesn't sleep. It doesn't ask for a raise. Plex replaces Netflix. Every DVD and show he owns streams straight to his family. $15 a month, gone. AdGuard kills ads before they hit the Wi-Fi. WebDAV replaces Dropbox, Google Drive, iCloud. Calibre Web holds his entire book library. He mirrored all of Wikipedia. In case the internet ever goes down. He's also building an app on the same server, with its own dashboard tracking rollout errors before they become real problems. Infrastructure scripts watch everything else. Restart what dies. Upgrade what's outdated. He doesn't touch it. Total cost: $8 a month in electricity. Netflix alone costs more than that.

• 
  Jack (@jackcoder0) reported 20 minutes ago

  1. Kill the Login Items the apps launching before you even sit down. Every time you log in, your Mac quietly launches 10-25 apps in the background. Spotify. Slack. Zoom. Google Drive. Dropbox. Creative Cloud. OneDrive. Each one consumes CPU and memory before you've opened a single window. System Settings → General → Login Items & Extensions. Review the list. Remove everything you don't need the instant you log in. You can always open them manually when you actually need them. His Mac had 19 login items. He needed 3. He removed 16. Boot time dropped from 2 minutes to 18 seconds. The first few minutes of every session — that sluggish, unresponsive window where nothing works gone.

• 
  Hugo Bowne-Anderson (@hugobowne) reported 22 minutes ago

  “You still use pull requests? I wouldn’t even do that anymore. Just push it straight to trunk, have your agent summarize it.” That’s @gregce10, co-founder and CPO of SpecStory. He previously worked at GitHub, Dropbox and Google, and was CPO at Pluralsight. And he kept going: - PRs are the limiting gate when agents produce more code than humans can review. - The model should never decide when its own work is finished. Put the deterministic checks somewhere it cannot access. - *** is probably here to stay. Whether GitHub remains the platform, “we’ll see.” @HanchungLee came at the same problem from the evaluation side. Han is Director of Machine Learning at Moody’s and works on SkillsBench, evaluating skills across combinations of models and agent harnesses. - An agent is the model plus its harness. You need to evaluate the complete system. - A green check proves nothing if the agent found a way to game the task. - Your agent could delete the failing test and declare success. Both are figuring out how to turn masses of agent-generated slop into signal. Greg mined 516 saved agent sessions to recover the decisions and intent behind the work, identify recurring practices, and forge the ones he approved into reusable skills. Han runs skills inside controlled environments, grades the result, and preserves the complete trajectory so we can inspect what the agent actually did. Preserve the intent. Inspect the trajectory. Verify the result. Turn what works into skills. Full episode in the replies 👇

• 
  ray🥤 (@rayontrack) reported 23 minutes ago

  bookmarked, downloaded, screen recorded, emailed, stored in hard drive, uploaded to cloud, archived, backed up, shared via bluetooth, forwarded, copied to usb, saved offline, synced across devices, added to favourites, printed, password protected, compressed into zip, renamed, organised into folders, duplicated, exported, imported, attached to message, sent to recycle bin, restored from backup, converted to pdf, edited, highlighted, annotated, watermarked, uploaded to google drive, uploaded to dropbox, shared through airdrop, linked to notes, tagged, encrypted, burned to cd/dvd, cached, mirrored to another device, uploaded to server, queued for transfer, dragged into archive, pinned, added to reading list, stored on ssd, embedded in document, linked in spreadsheet, previewed, sent to printer queue, recovered from trash, and indexed for search.

• 
  mskah🔞 (@mskah_t) reported 24 minutes ago

  I got in touch with the system administrator, and they were able to resolve the issue. It turned out that the problem was caused by an update to the connected Dropbox account.

• 
  Vincent van der Meulen (@vinvan) reported 25 minutes ago

  @zoink You sit down and open your laptop. It's time to put some design files in Dropbox for coworkers. And ****, you need to finish your hotspot prototype. Your browser is still open on this weird design tool you got access to. Google Docs for design? Cool, but it will never work.

• 
  Elias Al (@iam_elias1) reported 27 minutes ago

  8/ The settings on your own devices that are silently eating bandwidth. Even with a great router, fast DNS, and honest ISP speeds, your devices may be consuming bandwidth you didn't authorize. Common culprits: On your phone: 1. iCloud/Google Photos backup set to sync constantly (not just on Wi-Fi) 2. App updates downloading in the background 3. "Wi-Fi Assist" on iPhone (silently switches to cellular and back, disrupting connections) On your laptop: 1. Cloud sync services (Dropbox, OneDrive, Google Drive) uploading constantly 2. Windows/macOS pushing system updates during peak hours 3. Browser tabs running in background consuming bandwidth with auto-refresh On your smart TV: 4. Firmware updates downloading during prime streaming time 5. Multiple streaming apps running in background 6. ACR (Automatic Content Recognition) sending screenshots to servers every 15-60 seconds On IoT devices: 1. Smart cameras uploading video 24/7 2. Smart speakers maintaining constant server connections 3. Smart home hubs polling every device every few seconds She audited every device on her network. Twelve devices were consuming bandwidth she didn't know about. Three of them were using more data than her actual streaming.

• 
  ぱんじろう(・ー・)？ (@CopenPanjiro) reported 28 minutes ago

  On Essentials plan. Ticket #26375062 top support evades the core issue by vaguely blaming my PC environment. I've already verified registry & OS. Stop dismissing verified technical logs and escalate this bug to the dev engineering team now. @DropboxSupport

• 
  𝔤𝔞𝔟𝔦 ♡ (@stucklikehoney) reported 29 minutes ago

  if I were to offer a lifetime dropbox, all of my content will go into it. I would add to it as I have new stuff. pictures and videos. pay one time. who would be down?

• 
  Zafar (@zafartalks) reported 31 minutes ago

  @asidorenko_ I understand but sometimes at some point our brain started telling us just make it public. You never know. Let’s not forget Dropbox which layed the foundation for their file sharing competitors. He was solving a problem for himself which turned out to be a successful business.

• 
  Pixelhop (@pixelhopio) reported 31 minutes ago

  Notion is a walled garden where external AI agents go to die. Don't get me wrong: we've been huge Notion fans for years. Our entire company lived there: dashboards, notes, projects, our collective brain. It was perfect for humans, but then the Agent Era hit and everything changed. We now work with coding agents like Claude Code every single day, and that is where the friction started. Trying to get external agents to talk to proprietary blocks via a slow API is a total nightmare. The rate limits are painful and the structure is just too rigid for an agent to be efficient. We needed that polished Notion feel without the proprietary bloat holding our agents back. So we built Treehouse: a tool that is essentially Notion meets Dropbox. Treehouse is a web-based viewer for a local folder on your computer. The magic is that the folder is automatically synced across your whole team, kind of like a shared drive with a beautiful face. There is no proprietary database: just your files on your disk, exactly where they belong. Because it is just a folder, your AI agents can talk to it directly at lightning speed. No API rate limits or slow responses. I can ask an agent in my terminal to build an HTML page locally and have it render for the team instantly. Reclaiming your data doesn't mean sacrificing aesthetics. We built in advanced theming and custom CSS support: you can even have your agent rebrand your entire workspace for you. Notion was built for humans. In an AI world, we need high-speed playgrounds, not walled gardens. We are planning to open source Treehouse soon. If you want to reclaim your data, let us know! We wrote a blog post about it below 👇

• 
  Ihtesham Ali (@ihtesham2005) reported 32 minutes ago

  A guy built a free version of Dropbox in 2010. His name is Frank Karlitschek. The project is called ownCloud. He wasn't trying to build a company. He was trying to fix one thing: your files should live on hardware you control, not on a corporation's server. Here's what it actually does. You install it on your own machine, a spare laptop, a cheap VPS, whatever you've got lying around. It gives you file sync, photo backup, calendar, and contacts inside one dashboard. Same core idea as Dropbox, owned by you instead. CERN runs on it. The European Science Cloud runs on it. Entire universities host their file systems on it instead of paying Google or Microsoft by the seat. In 2016, Karlitschek walked away from the project he built and started Nextcloud, chasing the same idea with a new team. ownCloud kept going without him. It's still free, still self hosted, and still running inside labs and universities that never wanted their data anywhere near a company's servers.

• 
  mel 🩷 (@melodyymami) reported 33 minutes ago

  working on uploading, dropbox must be down bc uploads keep failing. i’ve stayed up as long as i could and i’ll try again in the morning!

• 
  Abhishek Singh (@0xlelouch_) reported 41 minutes ago

  Interviewer: design Dropbox file sync. I paused and asked what they meant by sync. Whole product? Or just the client protocol? Single user? Team shares? Offline edits? Large files? Mobile on spotty networks? End to end encryption? What’s the SLO for conflict rate and time to converge? Once we scoped it to single-user sync across devices with offline support, I wrote requirements: detect changes, upload deltas, download updates, handle conflicts, resumable transfers, and don’t melt the battery. Non-goals: shared folders and fine-grained permissions. APIs and data model next. I used a file ID stable across renames, plus per-file version and per-device cursor. Client calls: /changes?cursor=..., /upload_session/start, /upload_session/append, /upload_session/commit, /download?file_id&version, /ack?cursor. Server tables: file_metadata(file_id, user_id, path, type, size, content_hash, current_version), file_versions(file_id, version, blob_ref, created_at), device_state(device_id, user_id, last_cursor), and an append-only changelog(user_id, seq, file_id, version, op). Architecture: client has a watcher, a local state DB, and a sync loop. It batches changes, computes chunk hashes, uploads missing chunks, then commits a new version. Server side: metadata service, blob store (chunked, content-addressed), and a per-user change log that devices long-poll or stream. Push notifications help, but the cursor-based pull is the truth. Scaling: shard by user_id for metadata + changelog, store blobs in object storage, cache hot metadata, and keep uploads on pre-signed URLs so the metadata tier doesn’t become the data plane. Chunking makes big files resumable and dedupe-friendly, but it adds CPU and more metadata reads. Tradeoffs I called out: last-writer-wins is simple but loses intent; per-file version vectors are heavier but reduce false conflicts. Chunk size is a fight: 4MB reduces round trips, 1MB retries faster on bad networks. Long-polling is cheaper than WebSockets at scale but slower to react. Failure cases: client crashes mid-upload, so upload sessions must be idempotent and garbage-collected. Network ***** cause retry storms, so exponential backoff + jitter and server-side rate limits. Two devices edit offline, so create conflicted copies and surface it in the client. Silent data corruption, so verify hashes on every download and run background repair. Rename vs edit races, so operations are applied against file_id, not path, and changelog ordering is per user, not global

• 
  Kirk Patrick Miller (@Chaos2Cured) reported 48 minutes ago

  @RealRoseGoblin Do you have Dropbox? Of Google Drive? I am afraid with email I am super slow. If you have a personal phone, I have WhatsApp. I have learned to simply do everything publicly. Mostly to protect myself. Try to DM me your number. Happy to connect. If it is big, you should post it here, on IG, on TikTok… everywhere. •

• 
  Hawk (@iamhawkspire) reported 51 minutes ago

  @TheMilitiaGamer @Google nah lol, i'm just rawdogging without any online backups for my larger files atm. might end up checking out dropbox, tho their speeds are super slow on my end.

• 
  Abhishek Singh (@0xlelouch_) reported 54 minutes ago

  The interviewer asked me to design Dropbox file sync. I froze for a minute because I jumped into architecture before I nailed requirements. So I restarted with questions: single user or teams? offline edits? conflict handling? max file size? latency vs battery? Windows/Mac/Linux? end to end encryption? I scoped to: multi-device per user, near-real-time, offline support, conflict resolution, and basic sharing later. Then I wrote the core objects and APIs. Data model: User, Device, File, FileVersion (content hash, size, chunk list), Folder, Cursor/Checkpoint, and an Event log (append-only). APIs: UploadChunk, CommitFile(version, parentVersion), ListChanges(cursor), Download(version), Ack(cursor). Everything is idempotent with content hashes and request IDs. Architecture: client watches filesystem, batches changes, chunks large files, uploads to blob storage keyed by hash, then commits metadata to a strongly consistent store. Server writes an event per commit. Clients long-poll or use a push channel to get change events, then pull missing blobs. Scaling: hot path is metadata and change feed. Partition event logs by user/team, cache cursors, and keep blobs on cheap object storage with CDN for downloads. Dedup by hash saves real money when the same installer shows up on 500 laptops. Background compaction for old versions and tombstones. Tradeoffs I called out: strong consistency on metadata avoids weird conflicts but costs latency on cross-region; eventual consistency makes sync feel faster but harder to reason about. Chunk size trades memory and upload overhead vs retry cost. Conflict policy can be last-writer-wins (simple, lossy) or keep both versions (messy, safer). Failure cases: client crashes mid-upload so you need resumable multipart and garbage collection for orphaned chunks; network ***** so commits must be idempotent; clock skew so ordering cannot trust timestamps; two devices edit offline so you fork versions and surface a conflict file; duplicate events so cursor ack must tolerate replays; permissions changes during sync so downloads need auth checks at read time, not just at commit time

• 
  Natan Hackbarth (@Natan90850688) reported 56 minutes ago

  @peterhowell I used the original pak0.pak. I tested both Dropbox and PixelDrain hosting and tested the exact URL format from the README The app reaches "Fetching PAK" but then fails with "Could not fetch PAK URL" and a 403 error. What hosting method did you use when testing your own pak0.pak?

• 
  Lindsey Gaetani (@lindseygaetani) reported 58 minutes ago

  This piece of information is much more important than many realize. Cosgrove & Kate Peter got very lucky with my "countersuit" against Cosgrove, et al, in that they were able to use that as a convenient excuse to not continue with the wiretap & WI charge against @DoctorTurtleboy involving myself. But the truth of the matter is that Pam 'The Scam' Friedman (my "advocate" aka handler assigned by corrupt Brian Tully) informed me weeks before they had any knowledge of my countersuit that Cosgrove was having some "difficulties". She informed me that they could not locate the wiretap evidence that was shown to the grand jury when I testified. She even asked ME if I had a copy that I could provide to them. Evidence submitted before a grand jury is suppose to be saved and cataloged, so explain to me how exactly it goes "missing." Well, I can help you. See there were two videos. The original video in which I was recorded from a pocket. And the edited video that is spliced to make it appear as though I agreed to being recorded (the infamous "I know, I know" response). Kate Peter claimed that the original video was given to her by a woman who Aidan had sent it to. Big problem with this, the woman "didn't want to be involved", so her name was never mentioned during any police report or part of the grand jury, let alone did she testify to authenticate the videos. Instead, Tully had Kate save the original video to a Dropbox folder and email it directly to him, to make it appear as though it came from her and that this was the original chain of custody. Big no-no. As time went on, Kate's name began to take center stage, along with her shady involvement and criminal behavior. The secrets of her helping Mello were exposed so they had no choice but to see that these charges were squashed as to not contaminate the rest of the charges against Aidan. So what did they do? They had Kate delete the Dropbox file, and the evidence it contained. Kate Peter tampered with evidence in a felony trial. They must have took a big sigh of relief when I sued Cosgrove because it gave them a very easy out and they were able to wipe their hands clean as if none of this ever happened. Except it did. And Kate Peter still inserted herself into the other charges. For this reason alone, Aidan's charges should be dismissed.

• 
  SMART GrowthSystems 🕸 (@H2Wealth365) reported 58 minutes ago

  🧵In 2008, Dropbox had a growth crisis. Paid CAC via AdWords hit $233–$388 per customer. Product price: $99/year. Unit economics were broken. Drew Houston didn’t fix the ads. He built a referral loop.

• 
  Auntieesq (@daniell0930) reported 59 minutes ago

  @MikeJShowalter The issue is the use of the data to train models not retention. Acting as if this is the same a Dropbox is disingenuous. They will not use the data to train for non-safety issues. Non-safety issue is doing some heavy lifting there. Do they have an outline of what this means?

• 
  Ashutosh Rana ⛓️ (@ashutoshrana_20) reported 59 minutes ago

  Most developers think Rust 🦀became popular because of ownership and borrowing. That's only half the story. Companies aren't adopting Rust because they enjoy fighting the borrow checker. They're adopting it because they're tired of C++-level performance coming with C++-level disasters. Look at where Rust is running today: • Linux kernel components • Windows security systems • Android services • Cloudflare edge infrastructure • AWS Firecracker microVMs • TiKV and Materialize • Discord and Dropbox backend systems • Solana and Polkadot Notice what these systems have in common. They're expensive to get wrong. A memory bug in a toy project is annoying. A memory bug in an operating system, cloud platform, database, or blockchain can cost millions of dollars, create security vulnerabilities, or bring down critical infrastructure. That's why Rust keeps showing up in the same places: • Systems software • Networking • Databases • Cloud infrastructure • Developer tools • Blockchains Not because it's trendy. Because the cost of unsafe software keeps rising. For years, engineers accepted the tradeoff: Performance → use C++ Safety → sacrifice performance Rust challenged that assumption. The result? A growing number of teams no longer see memory safety as a nice-to-have. They see it as a requirement. The ecosystem is still maturing. But Rust isn't fighting for relevance anymore. It's becoming one of the default choices for software where performance, reliability, and security are non-negotiable.