#log analysis

[stackify-by-net-reo]

Know how to Master these log management tools to improve your log analysis, query time and SLO SLAs. Read more-https://stackify.com/best-log-management-tools/

[pavel-nosok]

Devo Technology acquires threat hunting provider to build next-gen autonomous SOC

Devo Technology acquires threat hunting provider to build next-gen autonomous SOC

Devo Technology has acquired autonomous threat hunting company Kognos to further its goals of security automation.Read More

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[techbooky]

Let's Take A Look At A Brief Overview Of Log Analysis

Let’s Take A Look At A Brief Overview Of Log Analysis

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[ourwitching]

Grok is a way to match a text line against a regular expression, map specific parts of the...

[ourwitching]

Grok is a way to match a text line against a regular expression, map specific parts of the...

[kshithijiyer]

6 Months with C-DAC!

Centre for Development of Advanced Computing also know as C-DAC is an autonomous scientific society of Department of Electronics and Information Technology (DeitY), Ministry of Communications and Information Technology, Government of India.

For me, it all started in December 2017 as I had to do an internship for 6 months to be done with my M.Sc Computer Applications. So after irritating my college authorities as much as I could, I finally got a green signal from college to go work with C-DAC. The basic concept behind this was that I wanted to do something good instead of doing anything. And so the story began and I joined my internship on 4th December 2017. I was assigned to a Group called HPC-I&E under Dr Sandeep K. Joshi. Now a brief intro about HPC-I&E, HPC-I&E is the short form of High-Performance Computing Infrastructure and Engineering. This team basically takes care of the internal infrastructure of C-DAC, You might have seen the cat fixing computer memes on the internet which says “Don’t worry I from Tech support!”

Yes! That was what the Group did, This was a group of system administrators who used to run around the facility to keep things working properly.

The first day was quite confusing for me, as I had no clue and everyone in the office was going somewhere or other and I was the one who looked a bit out of place. By the end of the day, I was assigned a place. I had asked for a spare screen as it helped me to read the documentation on one screen and change code on another. But the setup of my desk kept on changing with time and availability of resources. I have to say I will surely miss the LG screen on my next job.

In my project, I had to analyze DHCP and Firewall logs and detect problems in the infrastructure and help the team to fix issues. This was one of the best projects which I had worked on till date. It helped me to think in terms of supercomputing problems. All my so-called handy tricks to analyze text files had failed on day one itself. It was time for the old dog to learn new tricks. During my entire stay at C-DAC, I never felt as if I was an outsider. The team took really good care of me and welcomed me with open arms, starting from Dr Venkatesh Shenoi who was always there to guide me on documentation and remind me to take lunch, Dhairya who always made sure I reached home on time. At C-DAC I basically worked with R and Elastic Stack as far as the technology stack was concerned. Where I had some knowledge of R and no knowledge of Elastic Stack. I had fun learning Elastic Stack. I often had long-lasting discussions with Sandeep Sir to get more resources to analyze the data. And often had to pursue him for couple days but anyway I used to get my work done. The biggest blunder I did at C- DAC was we when I had crashed a half a Terabyte sever on the same day on which I was given access to it. This was the biggest learning I got at C-DAC which was to control my excitement towards new resources. I still feel bad for what I did and the problem caused by it. But anyway it was fixed within 2 hours.

Later in my internship, this was the biggest asset to me. It allowed me to work even more efficiently and quickly. Now the shortcomings were not on the resources front it was more on the analysis front. This was the start of the three months long period where I tried to analyze every aspect of the data given to me and I hope I did it exceptionally well. It was more like what Sandeep Sir often said:

“You have to run behind things as if they were your girlfriend then and only then things will be done.”

-Dr Sandeep K. Joshi  ‘

But like all good things my internship also had to end. So on 31st May 2018, I was relieved out of all my duties with some good memories and a whole lot of knowledge.

[xfinding]

New AI-powered capabilities massively increase the value of stored data and create new flexibility in an outdated market

Operations log their future on machine learning. Log analysis platform Logz.io is helping Oracle, Intel, British Airways and Electronic Arts, amongst others, make better use of their machine data. The platform uses a combination of machine learning and the ELK stack to synthesise machine data, user behaviour and community knowledge into actionable insights. Newly-acquired funding will be split between expanding go-to-market plans and product innovation.

[unfocusedwill]

log analysis

Kicking off this blog with a short post on log analysis.

Logs are best understood in the context of each encounter’s damage/movement patterns.

Analyzer sites provide some basic information on mana, cast efficiency, and gear/talent choices. However they offer less actionable insight on how you can improve, or what to do on a specific fight.

My first-line approach to playstyle log analysis involves looking at the following:

casts per minute (cpm) - compared to other healing specs, disc has a considerably higher cpm. Each bolt of penance counts as a ‘cast’ on WCL; thus, maximizing your penance (& other spells) efficiency will also raise cpm.

atonement hits - higher atonement hits means you not only had atonements out but also caused enough individual instances of damage during that window to do sustain healing (if they didn’t go to overheal). You can set up a fat LW but even if you have 20 atones out, that LW still only counts as 1x20 hits.

atonement count (rectangles) - first things first, the easiest way to read atonement count in WCL is to track your Sins of the Many buff stacks. The buff graph for Sins provides a straightforward visual for when you gain/lose stacks. If you don’t weave in PW:S/plea, the use of PW:R results in abrupt gains and drops in atonement count - what I call ‘rectangles,’ because that’s what they look like on the graph. :)

I’ll revisit rectangles in more detail in a future post.