> A syslog server is a foundational tool for centralized log management in modern IT environments
I'd very much recommend a more modern log stack than a traditional syslog server.
There are many articles covering the limitations of Syslog. Better to replace that component by utilities like OpenTelemetry and JSON structured logging.
That recommendation is hard to understand. Unless you have some completely trivial environment you will have syslog in it. It is not something you choose.
What you can do is have syslog ingestion for your Loki/Elastic/Splunk/whatever you use. But it will not magically structure your logs for you beyond the standard syslog date, host, severity, system, line of text format.
Both syslog products you mention are solid and mature, and absolutely has an important place in any modern environment. They manage queues, throttle, guarantee delivery and support any backend you can wish for.
Their respective rule engines are fast. They do log ingestion, and they slice data into fields and can enrich it (for example by resolving dns). This means rules are set in advance, and traps on data can be triggered immediately (not subject to races).
I disagree. I work in a large environment, and rsyslog is where 90% of data goes to first. It can keep up with millions of messages per second, route them to higher order services for indexing (bigquery, splunk, elastic etc etc). Has rules engines, encryption, supports multiple protocols and obviously has TLS too. You can surely augment with otel and such where you can, but syslog is uhhhh, deployed in so many places that it would make an average app developer's head spin when all they're used to is application logging in a controlled structured place in their silo.
On the other hand, traditional syslog is UDP based, so as soon as the receiver experiences CPU or I/O starvation and its receive buffer overflows, it will begin dropping messages. That's not great for observability, and may well be impermissible at many sites that need end-to-end log integrity (e.g. audit logs).
You can use TCP and other mechanisms for guaranteed delivery. Like, almost all LIDR logging across the planet uses TCP syslog, which is durable and attestable to in courts.
cheaply dropping log msgs you cannot handle is absolutely essential for an observability system - otherwise excess load can take down the logging infra which can (if msgs aren't dropped) take down the prod network/app trying to send reliable log msgs.
That's fine if you plan for it and can clearly demarcate which logs can be dropped and which can't. The challenge is that most applications log to a single stream that consists of both high and low-priority logs muxed together which is sent to a single destination, making it impossible to distinguish the two, and there's only one receive buffer.
Excess load can't take down a well-engineered log collection infrastructure. There can be overload, but the backpressure should propagate downstream and senders and intermediaries should buffer locally if needed. Once the collectors are able to catch up again, the spooled messages will be dispatched, and the backlog should recover.
A well-engineered logging system for sites that care about integrity and durability should look a lot like a distributed message queue.
> Audit logs are a distinct feature.
In my experience, this is not always as distinct as one might hope. On multiple occasions in my career, a customer demanded we perform research using our logs to answer, and the information they sought were not in the class of logs that were considered "audit logs" in advance. Everyone chooses differently what qualifies as "audit logs"; it doesn't have an objective definition.
And the number of k8s envs that log stdout through them into.... more rsyslog, it's truly everywhere. Plus all the sidecar containers deployed that shuffle app logs, lots of syslog there, its so lightweight and simple and reliable. I watch all the gyrations people go through to achieve the same result, and it's always changing, hurts my brain thinking how much time they waste
> I'd very much recommend a more modern log stack than a traditional syslog server.
Once everything is sent to the syslog server it can be bounced to whatever 'non-traditional' stack you want.
My firewalls, PDUs, rear-door heat exchangers, etc, do not talk (nor can they run) "Loki". Just about everything in existence can (a) talk syslog and/or (b) send SNMP traps.
The problem with modern stuff is it doesn't do the very basics. Sometimes I really do want UDP dumping out into a file on another part of the network. The modern setups forget how to do this.
I saw one place that had the logs going into a database. On the same connection as the app-data. So, when the transaction failed, the logs also didn't get written. LMAO. I made them do syslog in their code, which for some of the devs was a mind-blowing. They were amazed at that we could just barf text quick&lightweight over UDP.
Disagree. JSON logging is fine, but make it line based and just log to a syslog server. Then I can route it wherever I want (or to multiple places) including to a simple file on a disk that I can actually inspect, rather than having to use an API.
I've been down this road many times over the years, and each new promised land of logging always fails to replace syslog for me. Nothing else is as widely-compatible and performant. Fortunately, there are some great tools out there to modernize the network-admin experience: syslog-ng is a favorite of mine.
Mongo stopped having major data loss issues after a decade - my understanding is it's pretty stable now. You might hate the company for beta testing on your data but that's a separate issue.
I've never been in the sales room. I've heard from multiple corps that Splunk is quite expensive. I've been to one place that ran its own Elastic stack, which was a bit of cost in its own right because they had to run all the infrastructure and storage themselves, and had two FTEs whose main job was keeping the thing running. I don't know what Splunk offers from a UI/features perspective that Kibana couldn't do.
There's far cheaper alternatives to Splunk that are still a step up from traditional syslog.
KubeCon over the last couple of years was showing the market was a glut with Observability vendors which is just time series and log management. (traces are logs with a span id).
> A syslog server is a foundational tool for centralized log management in modern IT environments
I'd very much recommend a more modern log stack than a traditional syslog server.
There are many articles covering the limitations of Syslog. Better to replace that component by utilities like OpenTelemetry and JSON structured logging.
You can run a single binary version of Loki https://grafana.com/docs/loki/latest/get-started/deployment-...
Or use something like the Otel collector to send your logs to a remote host.
I have done my fair share of rsyslog and syslog-ng.
I would not say a "Syslog" server belongs in a modern stack.
That recommendation is hard to understand. Unless you have some completely trivial environment you will have syslog in it. It is not something you choose.
What you can do is have syslog ingestion for your Loki/Elastic/Splunk/whatever you use. But it will not magically structure your logs for you beyond the standard syslog date, host, severity, system, line of text format.
Both syslog products you mention are solid and mature, and absolutely has an important place in any modern environment. They manage queues, throttle, guarantee delivery and support any backend you can wish for.
Their respective rule engines are fast. They do log ingestion, and they slice data into fields and can enrich it (for example by resolving dns). This means rules are set in advance, and traps on data can be triggered immediately (not subject to races).
I disagree. I work in a large environment, and rsyslog is where 90% of data goes to first. It can keep up with millions of messages per second, route them to higher order services for indexing (bigquery, splunk, elastic etc etc). Has rules engines, encryption, supports multiple protocols and obviously has TLS too. You can surely augment with otel and such where you can, but syslog is uhhhh, deployed in so many places that it would make an average app developer's head spin when all they're used to is application logging in a controlled structured place in their silo.
On the other hand, traditional syslog is UDP based, so as soon as the receiver experiences CPU or I/O starvation and its receive buffer overflows, it will begin dropping messages. That's not great for observability, and may well be impermissible at many sites that need end-to-end log integrity (e.g. audit logs).
You can use TCP and other mechanisms for guaranteed delivery. Like, almost all LIDR logging across the planet uses TCP syslog, which is durable and attestable to in courts.
cheaply dropping log msgs you cannot handle is absolutely essential for an observability system - otherwise excess load can take down the logging infra which can (if msgs aren't dropped) take down the prod network/app trying to send reliable log msgs.
Audit logs are a distinct feature.
That's fine if you plan for it and can clearly demarcate which logs can be dropped and which can't. The challenge is that most applications log to a single stream that consists of both high and low-priority logs muxed together which is sent to a single destination, making it impossible to distinguish the two, and there's only one receive buffer.
Excess load can't take down a well-engineered log collection infrastructure. There can be overload, but the backpressure should propagate downstream and senders and intermediaries should buffer locally if needed. Once the collectors are able to catch up again, the spooled messages will be dispatched, and the backlog should recover.
A well-engineered logging system for sites that care about integrity and durability should look a lot like a distributed message queue.
> Audit logs are a distinct feature.
In my experience, this is not always as distinct as one might hope. On multiple occasions in my career, a customer demanded we perform research using our logs to answer, and the information they sought were not in the class of logs that were considered "audit logs" in advance. Everyone chooses differently what qualifies as "audit logs"; it doesn't have an objective definition.
Even SC4S, splunk's docker appliance for turnkey syslog uses rsyslogd.
Edit: being pedantic -- it's syslog-ng actually.
And the number of k8s envs that log stdout through them into.... more rsyslog, it's truly everywhere. Plus all the sidecar containers deployed that shuffle app logs, lots of syslog there, its so lightweight and simple and reliable. I watch all the gyrations people go through to achieve the same result, and it's always changing, hurts my brain thinking how much time they waste
> I'd very much recommend a more modern log stack than a traditional syslog server.
Once everything is sent to the syslog server it can be bounced to whatever 'non-traditional' stack you want.
My firewalls, PDUs, rear-door heat exchangers, etc, do not talk (nor can they run) "Loki". Just about everything in existence can (a) talk syslog and/or (b) send SNMP traps.
The problem with modern stuff is it doesn't do the very basics. Sometimes I really do want UDP dumping out into a file on another part of the network. The modern setups forget how to do this.
I saw one place that had the logs going into a database. On the same connection as the app-data. So, when the transaction failed, the logs also didn't get written. LMAO. I made them do syslog in their code, which for some of the devs was a mind-blowing. They were amazed at that we could just barf text quick&lightweight over UDP.
Disagree. JSON logging is fine, but make it line based and just log to a syslog server. Then I can route it wherever I want (or to multiple places) including to a simple file on a disk that I can actually inspect, rather than having to use an API.
I've been down this road many times over the years, and each new promised land of logging always fails to replace syslog for me. Nothing else is as widely-compatible and performant. Fortunately, there are some great tools out there to modernize the network-admin experience: syslog-ng is a favorite of mine.
Yeah, for a modern large scale distributed system both the client api and implementations are pretty bad.
An intro article on syslog servers in the year of our Lord 2026?
Did you know you can replace your noSQL db with VSAM too (honestly better than mongo).
I'd reckon that even in this modern age there are on the order of 10^9 people who don't know what a syslog server is.
Mongo stopped having major data loss issues after a decade - my understanding is it's pretty stable now. You might hate the company for beta testing on your data but that's a separate issue.
We moved to splunk now and mostly happy with it, mix of windows/linux/etc logs.
But with AI, I can see opensource alternatives getting better.
I've never been in the sales room. I've heard from multiple corps that Splunk is quite expensive. I've been to one place that ran its own Elastic stack, which was a bit of cost in its own right because they had to run all the infrastructure and storage themselves, and had two FTEs whose main job was keeping the thing running. I don't know what Splunk offers from a UI/features perspective that Kibana couldn't do.
I agree (as the owner of an elastic stack at work). A second FTE sounds like a luxury though..
"Splunk that runs locally with a worse UX, but on balance doesn't eat all the resources you throw at it and doesn't charge you a kidney."
There's far cheaper alternatives to Splunk that are still a step up from traditional syslog.
KubeCon over the last couple of years was showing the market was a glut with Observability vendors which is just time series and log management. (traces are logs with a span id).