I struggled for a while to found an answer to this annoying error that was clogging up my CSF logs. I've previously written about the ConfigServer safety & Firewall plugin for VPS and dedicated server and how to add log files for monitoring. But on every ocassion I opened my Apache HTTPd error_log file, it was filled with the following error:
This weird "client is rejected by server configuration" kept cropping up, and I had no idea why. And it was preceded by another error saying "Cannot serve directory..." always from the same IP address. Looking at the timestamp, I was up to see the request in my apache log but didn't know which way it was coming from. It wasn't available in my website access log, so I was completely stumped.
A few days ago, though, it struck me that I should look at the apache concurrent connections server-status log at InterWorks, and try to trace the error from there. And voila! I find a hint of something that led me to a solution. And here's the wisdom of my hard work for you!
Fixing the "Default Sites" setting in InterWorx
It turns out that InterWorks has a setting called "Default Sites". This determines what happens when a visitor tries to access your server via a direct IP address. The visitor can be directed to a directory, domain, or URL. Unfortunately, since I didn't initially set it up during the first VPS configuration, visitors were sent to the standard /var/www/html folder, which did not return anything because access is restricted in me .htaccess. Hence the server error "Cannot commit server directory", etc.
To Fix This, Navigate to The Default Site Setting in Interworks as Shown Here:
In this screenshot, I have changed the "Site" column to reflect my site, WP-Tweaks.com. This was what was causing the errors to be flooding my CSF logs. Once I edited and saved the changes, the VPS automatically re-started the Apache server, and the errors disappeared. So finally, the error log will now only show the important stuff.
You don't need to redirect to a URL. You can also send a request directly to the custom error page. But why bother wasting your server's resources by giving them a page - even an HTML one? Instead, I like to send it away in the ether. You can even re-direct the request to a random website if you want git branching strategy for continuous delivery!
IP Address Requests Bypass a Third-Party Firewall
What makes direct requests for IP addresses particularly annoying is that they can bypass any third part firewalls you may have set up at the DNS level. For example, I use Cloudflare WAF, which sits between my site and the rest of the world. I feel safe because people have to go through a security buffer to access my site. This is made possible since Cloudflare works at the DNS level.
However, if someone accesses your server directly via IP, there is nothing that Cloudflare can do. It is completely invisible. The only way to deal with these direct IP-based attacks is to have the firewall sit on your server itself. This is one reason why hardening your server is so important. Especially when it comes to securing ssh. The idea is to send the attacker to your server with the least resource consumption.
Hopefully, this tutorial will help you de-clutter your error log and help you keep track of what's important.
ETL is essential for data warehousing projects. In this ETL tools comparison, we will look at: Apache NiFi, Apache StreamSets, Apache Airflow, AWS Data Pipeline, AWS Glue.
Original published on freshcodeit.com
Original article Top 5 Enterprise ETL Tools published at freshcodeit.com.
Proceeding with the targets to make Spark quicker, simpler, and more intelligent, Spark 2.4 broadens its degree with the accompanying highlights:A scheduler to help hindrance mode for better joining with MPI-based projects, for example distributed profound learning systemsPresent various inherent higher-request capacities to make it simpler to manage complex information types (i.e., cluster and guide)Offer trial help for Scala 2.12Permit the enthusiastic assessment of DataFrames in note pads for simple investigating and investigating.Present another inherent Avro information sourceNotwithstanding these new highlights, the delivery centers around usability, stability, and refinement, settling more than 1000 tickets.
Other remarkable highlights from Spark supporters include:Take out the 2 GB block size restriction [SPARK-24296, SPARK-24307]Pandas UDF enhancements [SPARK-22274, SPARK-22239, SPARK-24624]Picture composition information source [SPARK-22666]Flash SQL upgrades [SPARK-23803, SPARK-4502, SPARK-24035, SPARK-24596, SPARK-19355]Underlying record source enhancements [SPARK-23456, SPARK-24576, SPARK-25419, SPARK-23972, SPARK-19018, SPARK-24244]Kubernetes joining upgrade [SPARK-23984, SPARK-23146]In this blog entry, we momentarily sum up a portion of the greater level highlights and enhancements, and in the coming days, we will publish top to bottom sites for these highlights.
Flash additionally presents another mechanism of adaptation to non-critical failure for obstruction undertakings.
At the point when any boundary task fizzled in the center, Spark would cut short every one of the undertakings and restart the stage.Inherent Higher-request FunctionsBefore Spark 2.4, for controlling the unpredictable kinds (for example exhibit type) straightforwardly, there are two run of the mill arrangements: 1) detonating the settled design into singular lines, and applying a few capacities, and afterward making the construction once more.
The new underlying capacities can control complex sorts straightforwardly, and the higher-request capacities can control complex qualities with an unknown lambda work as you like, like UDFs yet with much better execution.You can peruse our blog on high-request capacities.So, you can learn Spark CertificationUnderlying Avro Data SourceApache Avro is a mainstream information serialization design.
Also, it gives:New capacities from_avro() and to_avro() to peruse and compose Avro information inside a DataFrame rather than simply documents.Avro consistent sorts support, including Decimal, Timestamp and Date type.
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