Operations | Monitoring | ITSM | DevOps | Cloud

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Automate the Remaining 70% to Cloud

Today, around 20% of total applications in a large to medium size enterprise are cloud-native. Assuming 10% cannot be moved to Cloud, there are roughly 70% apps still sitting in a Data Center. CIOs are mandating these 70% apps to be moved to cloud. Application migration to the cloud is either manual or automated. Manual takes time and effort to make changes to the code and deploying them on cloud (after testing it inside out).

Server Log Files in a Nutshell

Servers take a lot of requests daily, we know that…We also know that the server responds instantly. But who makes the request? What do they want, and what exactly are they looking for? Where do these visitors come from? How often they are making a request: once a month, once a day, almost every minute? Well, answers to these, and potentially a lot more questions, can be found in a single place - the server log file.

Introducing Custom Parsing on LogDNA: A dead simple way to define your own log parsing rules

We’re excited to announce that LogDNA’s built-in log parser offers custom parsing, now available in beta. This means you can now use our step-by-step wizard to wrangle non-standard log formats and run custom transformations on your logs, allowing you to easily search and graph log lines that were previously off limits. The best part is, it’s a simple three step process: search, extract, validate… done!

Five Customer Service Tools to Boost Your Business

It’s a well-known and often repeated business motto that it is cheaper to retain customers than it is to attract new ones. In order to save on marketing, networking, and the cost of potentially losing disgruntled customers, your customer service needs to be on point. You should already have a strong team in place whose focus is on service, but consumers are starting to expect more from the companies they support.

PPS Spike Every 110 Seconds on AWS EC2

I don’t know what to say about this post… I found something weird while investigating PPS on EC2. It seems to correlate with CPU credits on t1/t2/t3 instances, but is consistently inconsistent in presentation. It only shows up when you track the stats yourself, because Cloudwatch doesn’t show the 1-second granularity needed to see these numbers.