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This guide covers a separate Ubuntu cache server, secure network rules, package defaults, configuration, testing, SASL considerations, and the operational trade-offs versus a local cache or managed service.
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What a separate Memcached server does—and does not do
A separate Memcached server stores frequently read or expensive-to-compute values in RAM so application servers can avoid repeated database queries or calculations. The application connects to the cache over the private network using Memcached’s protocol and decides which keys to write, read, expire, or rebuild.
Memcached is not a database, durable queue, session store with guaranteed persistence, or replication system. Entries can disappear when the daemon restarts, memory is reclaimed, or an item expires. Keep authoritative data in your database or another durable service, and make cache misses safe by rebuilding the value.
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The Ubuntu package supplies and manages the daemon through systemd. It does not transparently accelerate an existing application. Your application must install and configure a maintained client library for its language, then use the cache host’s private name or address and TCP port 11211.
Plan the network before installing
Choose the cache host
Use a supported Ubuntu image with a private address reachable from every application host that will use the cache. Place the cache and clients on the same private network or security domain where possible. Record the cache host’s private DNS name or IP address and the application source subnet or individual source addresses.
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Decide the access boundary
- Allow inbound TCP
11211only from named application hosts or their private subnet. - Do not allow public or Internet-wide ingress.
- Leave UDP disabled unless a documented client requirement exists.
- Apply equivalent restrictions in cloud security groups, network ACLs, or hardware firewalls in addition to the host firewall.
Check routing and name resolution
Before changing the daemon, confirm that each application server can resolve the planned private hostname and has a route to the cache subnet. A private DNS record is easier to change than a hard-coded address if the cache host is replaced, but the record must not resolve to a public address. Document the address, subnet, security-group rule, and owning team so an address change does not silently strand clients.
Keep the cache close enough to clients that the extra network hop is acceptable. Measure latency from an application host rather than assuming that two servers in the same cloud region have identical performance. A shared cache can reduce database load while still becoming a bottleneck if every request waits on a distant or congested network path.
Install and enable the Ubuntu package
Log in to the cache host with an account that can use sudo, then install the distribution package:
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sudo apt update
sudo apt install memcached
sudo systemctl enable --now memcachedThe final command starts Memcached immediately and enables it at boot. Check the unit before changing settings:
sudo systemctl --no-pager --full status memcachedA status of active (running) confirms that the package’s initial configuration started successfully. It does not confirm that the daemon is bound to the intended address or protected by the intended firewall; those checks come next.
Keep the Ubuntu package under package management rather than downloading an unrelated binary. Track Ubuntu security updates and schedule restarts when an update requires one. A package upgrade can replace defaults or add configuration comments, so retain your intended settings in your configuration-management system and recheck the effective values after maintenance.
Configure memory, binding, and protocol settings
Ubuntu’s package configuration is commonly in /etc/memcached.conf. Open it with your preferred editor and set explicit production values rather than relying on defaults:
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-l 10.20.0.15
-p 11211
-U 0These example values allocate 512 MB, listen on the cache host’s private address, use the standard TCP port, and disable UDP. Replace 10.20.0.15 with the cache server’s actual private address. If clients connect through a private DNS name, the daemon still needs to bind to an address assigned to the host.
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Understand the important options
| Option | Purpose | Planning guidance |
|---|---|---|
-m |
Memory limit in megabytes | Set a bounded value based on measured working-set size and leave RAM for Ubuntu, monitoring, and connection overhead. |
-l |
Listening address | Use the private interface or 127.0.0.1; never an untrusted public interface. |
-p |
TCP port | Normally 11211; change it only when your network and clients are configured consistently. |
-U |
UDP port | Use -U 0 to disable UDP when no documented requirement exists. |
-c |
Maximum simultaneous connections | Raise it only when measured concurrency and the host’s file-descriptor limits justify the change. |
-t |
Worker threads | Set deliberately for the workload; more threads are not automatically faster. |
Size memory from measurements
Start with the application’s actual cache working set, not the amount of RAM installed in the VM. Estimate the combined size of values that should be hot at the same time, then leave room for the operating system, the daemon, connection buffers, monitoring agents, and temporary allocation overhead. Observe hit rate and evictions after rollout. A cache that is too small will evict useful entries and repeatedly load the backing database; one that is too large can starve the host or encourage an unbounded application design.
Plan for the cache’s disposable nature when selecting a VM size. More memory can improve hit rate, but it does not create durability or failover. If losing the contents would be unacceptable, the data belongs in a durable system rather than in a larger Memcached allocation.
Know the package defaults
The current Ubuntu Noble package documentation lists a 64 MB default memory limit, 1,024 simultaneous connections, four worker threads, and a 1 MiB maximum item size. These are daemon defaults, not capacity recommendations. Production values should reflect object sizes, hit rate, connection concurrency, available RAM, and eviction behavior measured in your environment.
The 1 MiB item limit is especially important: an application attempting to store a larger value will fail unless the daemon is configured with an appropriate item-size limit and the client supports that choice. Increasing the limit consumes more memory per allocation and should be treated as a workload decision, not a universal fix. It is often better to split an oversized value, store it elsewhere, or cache a compact representation.
Connection, thread, and file-descriptor planning
The -c setting limits simultaneous clients, while the host’s file-descriptor limit can impose another ceiling. Count persistent connections from every application process, deployment job, health check, and monitoring tool before raising the limit. Increasing -c without raising the operating-system limit does not solve exhaustion.
The -t setting controls worker threads. Four is the documented default; changing it should follow CPU, request-rate, and latency measurements. More threads can add contention instead of throughput, particularly when the network or backing database is the real bottleneck.
Save safely and restart
Validate the file for accidental duplicate or contradictory options, then restart:
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sudo systemctl restart memcached
sudo systemctl --no-pager --full status memcachedIf the unit fails, inspect the journal for the exact configuration or bind error:
sudo journalctl -u memcached -b --no-pagerCommon causes include binding to an address not assigned to the host, a second process already using port 11211, malformed configuration lines, or a memory value incompatible with the machine’s available RAM. Keep a copy of the last known-good file so you can restore it quickly, then rerun the listener and settings checks after every change.
Firewall TCP 11211 for application hosts only
With UFW, replace 10.20.0.0/24 with the actual private subnet or use one rule per application host:
sudo ufw allow from 10.20.0.0/24 to any port 11211 proto tcp
sudo ufw deny 11211/udp
sudo ufw status verboseThe allow rule must be narrower than “anywhere.” If only two servers use the cache, two host-specific rules provide a smaller exposure than a whole subnet. Ensure your cloud security group or upstream firewall allows the same TCP flow; a host rule cannot override a blocked network path.
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Do not rely on a nonstandard port as security. Source restriction, private binding, and disabled UDP are the controls that prevent accidental exposure. Memcached’s security guidance specifically recommends localhost or a private IP, firewalling, and -U 0 when UDP is unnecessary.
Test the rule from both sides: an approved application host should connect, while an unapproved host should time out or be rejected. Review rules after adding a new application server, changing a subnet, or replacing a security group. Remove temporary troubleshooting rules immediately; an old broad allow rule can undo an otherwise correct daemon binding.
Verify the listener and effective settings
First confirm that the process is listening on the intended TCP address and port:
sudo ss -ltnp | grep 11211The result should show the configured private address (or localhost) and TCP port 11211. A wildcard address such as 0.0.0.0:11211 means the daemon is listening on every IPv4 interface and should be corrected unless that exposure is explicitly intended and fully firewalled.
Next query the running daemon’s effective settings. From the cache host, use localhost; from an allowed application host, use the private cache address:
printf 'stats settingsrnquitrn' | nc 10.20.0.15 11211Review the response for memory size, connection limit, TCP and UDP ports, worker threads, binding protocol, SASL state, and item-size limits. The values reported by stats settings are more reliable than assuming the configuration file was parsed as intended. If nc is not installed on the test host, install the distribution’s netcat package or run the check from a machine that already has a compatible netcat utility.
Record the output during a change review. It provides a simple baseline for detecting an accidental wildcard bind, an enabled UDP port, an unexpected item-size limit, or a restart that did not load the file you edited.
Run a remote set/get smoke test
From an application host that is explicitly allowed by the firewall, send a small text-protocol request:
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| nc 10.20.0.15 11211The response should contain STORED, followed by a VALUE response containing hello. The fields in the set command are the key, flags, expiration in seconds, and byte count. This proves that DNS or routing, the firewall, the listener, and the basic protocol path work together.
This is only a connectivity smoke test. It does not measure throughput, eviction rates, failover, latency under load, or application serialization compatibility. Remove test keys or let this one expire after 60 seconds; never use production keys or sensitive values in a shell test.
Interpret failures by symptom
- Connection refused: the service may be stopped, bound to another address, or blocked by a local listener conflict. Check
systemctl status,ss, and the journal. - Connection timed out: investigate UFW, cloud security groups, network ACLs, routes, and the source address seen by the firewall.
- It connects locally but not remotely: verify
-l; localhost binding accepts only local clients. CLIENT_ERRORorSERVER_ERROR: check the command’s byte count, line endings, key syntax, item-size limit, and daemon logs.VALUEis missing: the key may have expired, been evicted, been written to another cache host, or been serialized under a different key.
Connect application code to the cache
Install a maintained Memcached client library for your application language and configure it with the private cache hostname or IP and port 11211. The exact package and API depend on the language; the daemon itself does not provide a framework integration.
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Use a short, intentional expiration for data that can be regenerated, and define behavior for cache misses, connection errors, and a full cache. A robust request path normally reads the cache first, loads authoritative data on a miss, then writes the result with an expiration. Do not make a cache outage equivalent to data loss: applications should be able to degrade to the backing database or service, subject to their performance and availability limits.
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- Use namespaced keys so unrelated applications cannot collide.
- Keep values within the configured item-size limit.
- Serialize and deserialize consistently across application versions.
- Set connection and operation timeouts so a slow cache does not stall every request.
- Instrument hits, misses, evictions, errors, latency, and connection counts.
- Plan a safe cache flush or namespace change for deployments that alter value formats.
Memcached’s text protocol is suitable for diagnostics, and its official documentation recommends the newer meta protocol for new clients. The binary protocol is deprecated; choose a maintained client that supports the protocol your application requires.
Handle deployments and cache loss
Deploy code that can read both old and new value formats during a rolling update, or change the key namespace so new processes do not decode old entries. Treat a full flush, VM replacement, or daemon restart as a normal event. Warm-up should be gradual; an immediate flood of misses from every application process can overload the backing database, creating a cache stampede.
Use request coalescing, short randomized expirations, or other client-side controls when a single hot key is expensive to rebuild. These are application responsibilities; Memcached will not coordinate rebuilds or protect the database from a burst of simultaneous misses.
Decide whether SASL authentication is appropriate
SASL is optional and works only when the server is built with SASL support and the client supports a compatible mechanism. Confirm the daemon’s SASL state in stats settings and test authentication with the client library you will deploy.
SASL authenticates a client; it does not provide end-to-end encryption. Credentials and cache contents still require a private network and, where confidentiality is required, an encrypted transport boundary such as a protected tunnel or other architecture that your client and infrastructure support. Do not treat SASL as permission to expose port 11211 publicly.
Authentication also adds configuration and credential-rotation work. Verify that every production client supports the selected mechanism before enforcing it, and keep an unauthenticated diagnostic path closed by firewall policy. A failed authentication test should not lead to opening the port broadly as a workaround.
Operate and monitor the cache
Monitor both the daemon and the Ubuntu host. Useful signals include used memory, evictions, hit and miss counts, current and rejected connections, command rates, operation latency, CPU, disk health for the host, and network errors. Memcached data is in RAM, but a full filesystem, exhausted file descriptors, or a host-level memory pressure event can still stop the service.
Set alerts on sustained evictions, rising miss rates, connection refusal, listener disappearance, and unusual memory growth. Correlate cache metrics with database load so you can distinguish a cache-sizing problem from an application deployment that changed key names or expiration times. Capture logs and configuration versions around restarts; there is no durable cache backup to restore.
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Choose between local, separate, and managed Memcached
| Deployment | Network distance and latency | Failure isolation | Access and patching | Capacity and observability | Recovery behavior |
|---|---|---|---|---|---|
| Local process on an application host | Lowest network overhead; no remote hop. | Cache pressure or a restart affects the application host directly. | Simple local access control; you patch and monitor the same machine. | RAM competes with the application; visibility is concentrated on one host. | Restart or host loss discards entries and may also interrupt the application. |
| Separate Ubuntu VM or server | Private-network hop adds latency and consumes network capacity. | Cache resource contention is isolated from application CPU and RAM. | You control package updates, binding, firewall rules, credentials, and monitoring. | Memory can be sized independently; collect daemon and host metrics separately. | Cache host loss causes misses until it returns; authoritative data remains elsewhere. |
| Managed cache service | Depends on the provider’s network placement and service configuration. | Provider may offer maintenance and failure handling, subject to its design and terms. | Provider handles much of the patching; you still configure private access and credentials. | Limits, metrics, scaling, and item-size behavior vary by service. | Read the service’s documented restart, replacement, and data-loss behavior; Memcached remains transient. |
A separate host is useful when several application servers need one shared cache or when cache memory and CPU should not compete with request handling. It also introduces a network dependency and another machine to patch, monitor, and secure. Choose it when that isolation and sharing outweigh the additional hop.
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Budget for the VM or server, private-network traffic where applicable, monitoring, backups of configuration, security maintenance, and operator time. Because entries are disposable, paying for storage snapshots does not provide a durable recovery mechanism for cached values; spend on capacity and availability only when they improve application behavior.
Production checklist
- Ubuntu is supported and the cache host has a private address reachable from every intended client.
memcachedis installed from Ubuntu’s package repository and enabled withsystemctl enable --now memcached.-m,-l,-p, and-U 0are explicitly set for the workload and network design.- The daemon binds only to localhost or the private interface, never an unintended public interface.
- TCP 11211 is allowed only from application hosts; UDP 11211 is denied or otherwise disabled.
ssconfirms the expected listener andstats settingsconfirms effective values.- A remote set/get test returns
STOREDand the expected value from an allowed client. - The application uses a maintained client library, bounded timeouts, expirations, and a miss path to authoritative storage.
- Monitoring covers memory use, evictions, hits, misses, connections, errors, latency, and host health.
- Operators know that restarting or losing the cache discards entries and have tested the resulting miss behavior.
Frequently Asked Questions
What IP address should Memcached listen on?
Bind it to the cache server’s private address that application hosts can reach. Use 127.0.0.1 only when clients run on the same machine; never bind an untrusted public interface.
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Which port does a separate Memcached server use?
TCP port 11211 is the normal choice. Permit it only from named application hosts or their private subnet, and disable UDP with -U 0 unless a documented client requirement exists.
How do I test that a remote application host can reach Memcached?
From an allowed client, run a small text-protocol set followed by get through nc. Look for STORED and the expected VALUE; this verifies connectivity, not production capacity.
Does installing Memcached automatically cache my application?
No. Install and configure a maintained client library, point it at the private cache hostname and port, and add explicit get, set, expiration, serialization, and cache-miss logic.
Is Memcached data recoverable after a restart?
No. Memcached is transient. A restart, eviction, host loss, or expiration removes entries, so authoritative data must remain in a database or another durable service.
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Should I enable SASL?
Use SASL only when the server build and client library support a compatible mechanism and you need client authentication. SASL does not encrypt traffic, so retain private networking and use an encrypted transport boundary when confidentiality is required.
Why can a key be stored successfully but not returned?
It may have expired, been evicted, been written to a different cache host, or been serialized under a different key. Also check that the client uses the same namespace and encoding for both operations.
What does the 1 MiB item limit mean?
The documented default maximum item size is 1 MiB. Larger values fail unless you deliberately configure a suitable limit and the client supports it; splitting or compacting the value is often safer than simply raising the limit.
Should I run Memcached locally, on a separate VM, or as a managed service?
Compare network latency, failure isolation, access controls, patching responsibility, memory limits, observability, and restart behavior. A separate host is useful for shared cache capacity and isolation, but adds a network dependency and another system to operate.
The Bottom Line
Install Ubuntu’s memcached package, bind it to a private address, disable UDP, firewall TCP 11211 to application hosts, verify the effective settings, and complete a remote set/get test. Then connect through a maintained client library and design every request to survive cache misses or total cache loss.
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