Software review: EventLog Analyzer

System log (Syslog) management is an important need in almost all enterprises. System administrators look at syslogs as a critical source to troubleshoot performance problems on syslog supported systems & devices across the network. The need for a complete sys-log monitoring solution is often underestimated; leading to long hours spent sifting through tons of syslogs to troubleshoot a single problem. Efficient event log syslog analysis reduces system downtime, increases network performance, and helps tighten security policies in the enterprise.

EventLog Analyzer performs like a syslog daemon or a syslog server and collect the sys-log events by listening to the syslog port (UDP). Event log analyser application can analyze, report, and archive the syslog events (including syslog-ng) received from all the syslog supported systems and device. Event log analyzer manages the events of systems supporting Unix syslogs, Linux syslogs, Solaris syslogs, HP-UX syslogs, IBM AIX syslogs and devices supporting syslog like routers, switches (Cisco) or any other device.

Using Event log analyzer application you can generate syslog reports in real-time, and archive or store these syslogs. You get instant access to wide variety of reports for syslog events generated across hosts, users, processes, and host groups.

Event log analyzer application also supports event logs received from Windows machines. You can reach detailed info and demo version software at their webpage.

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Extreme Scale Computing

Parallel computing is not a new concept. Its been around for decades. Now the reality is here. Serial computing is dead? Well, that's what was stated in an article in IEEE Computer Magazine.

New technologies just allow for more tools to make solutions possible and/or more efficient. But as far as hardware, that is pretty much the case. Will there be CPU manufacturers making single-core CPUs? That's dead. Hardware development marches on, no looking back.

Now we're talking about millions of cores and peta-scale (10¹⁵) to exa-scale (10¹⁸) operations per second. Massive parallelism has a name -- Extreme Scale Computing (ESC). Just like multicore that had to solve the issue of power consumption and data transfers that led to improvements in data bus transfers technology for example, Extreme Scale Computing has many challenges it must overcome in the next decade: energy and power consumption, and enabling concurrency and locality.

(To read full article visit the drdobbs.com web pages)