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Strato Uptime determines how often your site is available - in a series of measurements over six weeks, the servers ran continuously without interruptions, while key figures such as TTFB 0.228 s and LCP 1.23 s indicate speedy delivery. I show how constant the Availability at Strato is what is technically important and which options are suitable for projects with very high requirements.
Key points
- Uptime of measured 100 % over six weeks, no failure during the test period
- Loading times with TTFB 0.228 s and LCP 1.23 s in the fast range
- Monitoring with Central Monitoring Dashboard and integration in Incidents
- Backups Automated, redundant storage for fast recovery
- Support Including optional 24/7 service and fault hotline
What does Uptime mean for your everyday life?
Uptime describes the proportion of time in which your website remains accessible, i.e. loads without interruption and accepts requests. An uptime of 100 % sounds ideal, but maintenance and infrequent faults usually leave a small amount of downtime. Good providers guarantee at least 99 % on an annual average according to their terms and conditions, while monitoring and incident processes quickly limit downtimes. My advice is not to look at uptime in isolation, but to combine it with load times, support and recovery plans. If you want to understand the details of promises and measurement methods, take a quick look at Uptime guarantees and then evaluates its own Objective.
Strato uptime test: 100 % in six weeks
In long-term measurements over six weeks, Strato demonstrated continuous availability without any documented interruptions. This indicates reliable processes in the network, power supply and orchestration. Maintenance windows are usually scheduled at night so that visitors are not affected during the day. I rate 100 % in this period as a strong signal, whereby an annual average always remains more relevant than a short measurement section. For stores, lead forms or portals, such consistency means direct sales effects, because every outage costs visibility, trust and ultimately real revenue. Revenue.
Performance and loading times: Reading key figures correctly
A high uptime is of little use if pages react slowly, so I look at TTFB, LCP and full load time. In benchmarks, Strato achieved TTFB 0.228 s, LCP 1.23 s and a complete delivery in 0.665 s, which offers solid reserves for common CMS and stores. Your own optimization remains important: activate caching, reduce image sizes, use HTTP/2 or HTTP/3 and remove unnecessary plugins. I also check whether the PHP version, OPcache and database indexing are set correctly. How to get more out of the existing platform Speed out.
Monitoring and fault detection: a look at Stratos CMD
Strato provides a Central Monitoring Dashboard (CMD) that bundles metrics about uptime, utilization and network availability. I use such overviews to identify trends, set threshold values and configure automatic alarms. If you use your own incident tool, you can integrate the data and thus shorten response times. It remains important to prioritize alerts appropriately so that critical messages are not overlooked. With clear alerting and clean reporting, you can increase the Transparency about your systems.
Reliability and backups: limiting damage
No setup prevents all disruptions, but good backups drastically shorten the recovery time. Strato relies on automated backups, redundant storage paths and clear restore options. I test restores regularly so that an emergency doesn't turn into a blind flight. Pay attention to backup frequency, retention time and offsite copies to minimize ransomware and hardware risks. If you take this seriously, you protect customer data and safeguard the Integrity of the project.
Support, availability and service level
Good support determines how quickly an incident ends. Strato offers a choice of telephone, e-mail and a help center, optionally supplemented by a 24/7 service for cases outside office hours for a fee. An incident hotline provides information about ongoing incidents so that you can make informed decisions. I believe that documented escalation paths and clear responsibilities are essential, especially for revenue projects. Response time, initial resolution and communication quality influence the Perception of a host.
Comparison: Strato, webhoster.de, Hostinger, IONOS
In a direct comparison, Strato comes out on top in terms of accessibility and speed, even if special setups from other providers deliver somewhat faster. For projects with maximum performance targets, it is worth taking a look at dedicated options from webhoster.de, which often receive top marks in tests. IONOS also delivers strong times, especially with TTFB and solid network capacity. If you are currently weighing up a choice between two brands, you will find IONOS vs. Strato a helpful classification of the profiles. I always check whether SLA details, upgrade paths and migration options for my own Roadmap fit.
| Provider | TTFB | LCP | Pagespeed | Uptime | Grade |
|---|---|---|---|---|---|
| webhoster.de | <0,200 s | <1,100 s | <0,300 s | 100 % | VERY GOOD |
| Strato | 0,228 s | 1,230 s | 0,665 s | 100 % | GOOD |
| Hostinger | 0,082 s | 1,070 s | 0,168 s | 100 % | VERY GOOD |
| IONOS | 0,174 s | 1,570 s | 0,311 s | 100 % | GOOD |
The table shows: Strato maintains very good accessibility and solid loading times, while webhoster.de and Hostinger are still just ahead in individual disciplines. For data-intensive sites with many conversions, every millisecond gain pays off. Note that real values vary depending on the CMS, theme and location of your visitors. I regularly check whether measurement data remains stable over several days. Consistent results indicate a well-coordinated Infrastructure there.
Practical tips: How to get more uptime
Many failures are not caused by the provider, but by faulty deployments, plugins or configurations. Work with staging environments, carry out updates in a controlled manner and test caches and databases before going live. I use monitoring at application level in addition to host monitoring to detect 5xx errors at an early stage. Rate limits, firewall rules and bot management protect against peak loads. Paying attention to these basics increases the Resilience noticeable.
Who is Strato suitable for - and when is Premium worthwhile?
Strato reliably covers blogs, portfolios, club sites and many stores as long as the load and dynamics remain moderate. For very high loads, global reach or hard latency targets, I favor premium setups from providers with top hardware and special SLAs. This also includes offers that provide guaranteed availability at higher levels. A clear introduction to providers with guarantee commitments is provided by the Uptime guarantee comparison. This allows you to make a choice that fits your budget, objectives and operational Security fits.
How I measure my own uptime
I rely on external checks from several regions so that location effects stand out. Services check every one to five minutes via HTTPS, evaluate status codes and report anomalies immediately. In addition, I log TTFB and LCP on real user devices to compare data center values with practice data. Error budgets and SLOs help to set priorities instead of chasing after every outlier. If you define measuring points and alarms clearly, you keep the Quality at a glance.
How meaningful are six weeks? Measurement methodology in detail
A six-week period shows trends, but does not replace an annual average. I differentiate between synthetic checks (robots measure at fixed intervals) and real user monitoring (real user data). For the Uptime I use short intervals (1-5 minutes), timeouts of less than 10 s and at least three geographically separate measuring points. An incident is only considered a failure if several locations fail at the same time - this is how I reduce false positives caused by local routing problems. For TTFB and LCP I separate "cold" and "warm" accesses (cache unfilled vs. filled) and measure without browser extensions. Important: DNS resolution, TLS handshake and redirects are part of the chain and influence the overall impression. I document test paths (start page, product detail, checkout step) so that results remain reproducible and reflect real user paths.
SLA, SLO and error budgets in practice
Service Level Agreements define guaranteed limits, Service Level Objectives the internal targets. I plan with Error budgetsWith 99.9 % target availability, around 43 minutes of downtime are "available" per month, with 99.99 % just under 4.3 minutes. I derive the deploy frequency and risk budget from this. In addition, I set MTTR (Mean Time to Recovery) and RTO/RPO (recovery time and data loss). Example: RTO 30 minutes, RPO 5 minutes - this requires frequent snapshots and practiced restore processes. In business cases, I calculate downtime costs conservatively: revenue per hour, opportunity costs, follow-up costs due to support and marketing expenses. This makes it possible to soberly assess whether a higher SLA level or an upgrade to a stronger infrastructure makes economic sense.
Scaling paths and migration strategy
Scaling rarely happens "in one fell swoop". I plan paths: from shared hosting via Managed vServer through to dedicated machines. I check limits (CPU, RAM, I/O, processes) at an early stage and set metric thresholds for when an upgrade is due. For migrations, I use a Staging-environment, reduce DNS TTLs, replicate the database and carry out a short content freeze. Ideally, the cutover is carried out as a blue-green deployment: the new environment runs in parallel, is "warmed up" with real requests and then switched live. This avoids long maintenance windows and minimizes the risk of caches starting cold or sessions being lost. Those who deliver globally combine this with CDN distribution and check whether edge caching of dynamic parts (e.g. HTML with surrogate keys) is possible.
Security, DDoS resilience and operational discipline
Availability is also a Securityquestion. I use TLS 1.3, the latest cipher suites and HSTS, check rate limits and, where possible, use a WAF with bot and layer 7 protection. At server level, principles such as least privilege, 2FA for the panel, coherent SSH policies and timely updates apply. Immutable backups (immutability) and separate access paths help against ransomware. For applications, I reduce attack surfaces: audit plugins/extensions, block unnecessary endpoints, set upload limits and MIME checks. I intercept DDoS peaks with caching, connection reuse (HTTP/2/3), adaptive timeouts and, if necessary, challenge mechanisms. None of this is an end in itself: every preventive measure reduces the incident frequency and indirectly improves the Uptime.
E-commerce and CMS: fine-tuning for quick answers
Stores and dynamic CMS benefit greatly from smart caching. I set full-page caches for anonymous users, combine them with Object Cache (e.g. Redis) for frequent database queries and cacheable API responses. I render product lists as decoupled as possible from personalized elements so that HTML remains valid for longer. Images are given modern formats (WebP/AVIF), clean lazy loading and predictive preconnect/prefetchheaders for critical third-party resources. On the PHP side, PHP FPM parameters (pm, pm.max_children) and OPcache memory are correct; in the database, I optimize slow queries, indexes and connection pools. For checkouts, I test multi-step transactions synthetically - a green ping is not enough if the payment or shopping cart fails. These measures reduce TTFB and stabilize the LCPwithout altering the architecture.
Operations culture: runbooks, game days and postmortems
Technology is only as good as the processes behind it. I hold Runbooks ready for recurring incidents (e.g. database full, certificate expired, 5xx spike), including escalation chains, owners and communication modules. Deployments are controlled: first staging, then canary (small user share), then complete rollout with quick rollback option. Planned maintenance is announced at an early stage and, if possible zero downtime implemented. After incidents, I create short postmortems with root cause analysis, impact, lessons learned and concrete follow-ups. And yes: a "game day" every now and then, where we simulate disruptions (e.g. DNS outage, blocking of an upstream), sharpens our ability to react and measurably reduces the MTTR.
Global reach and latency management
If you serve visitors outside the DACH region, you have to actively manage latency. I use Anycast DNS for fast resolution, distribute static assets via edge nodes and keep HTML as light as possible. For APIs, I check replication strategies and region-specific caches so that not every request has to go to the primary data center. It is important to monitor dependencies on third-party providers (payment, analytics, fonts): If these fail, your own site must not "fail with them". Graceful degradation and timeouts with sensible fallbacks keep the application operable - a decisive factor for perceived reliability. Availability.
Briefly summarized
Strato delivers very high availability and fast response times, as evidenced by 100 % uptime in the six-week test and good performance values. Monitoring via CMD, automatic backups and easily accessible support round off the picture. Those looking for maximum performance and the strictest SLAs will find suitable alternatives with even more reserves from providers such as webhoster.de. For many projects, Strato remains a reliable choice with solid speed and clean operational management. I recommend that you regularly check your goals, budget and metrics and that you keep your own Architecture accordingly.
