A concept that serves as both a negotiation tool and a practical decision-making framework, on efficiency of an algorithm that suits the needs of current problem. Big O just tells how slower my program is going to be as the input size increases. So technically, It doesn't dictate
In my current organization, I wrote a helper script long back to organize and set up Kubernetes contexts across multiple GCP projects and environments, with custom naming based on cluster labels. I also created another script to handle all EKS clusters across AWS regions using a specified AWS SSO profile.
— The nightmares we all live are truly an inspiration to never live. Honesty is a fragile illusion, a reflection of never being good enough. We live to rule, and we rule to live—trapped in the chaos of collective minds, yet bound by the desperate need to be seen. Why?
We’ve been building gokakashi in Go for a while now, and we had this wild thought: “What if users could define their own evaluation conditions on top of the scan reports?” Something like this in the config file: check: condition: | sev.critical > 0 || sev.high > 0 &
This is how I finally made sense of interfaces in Go. There are countless resources out there, but fails to simplify how to grasp and implement interfaces effectively, atleast for me. While observing my niece one day (toddlers can be surprisingly inspiring!), an analogy clicked in my mind. Let me
Cardinality refers to the number of unique elements in a set or the number of distinct values in a data set. In the context of metrics and time-series data, cardinality refers to the number of unique combinations of metric name, label name, and label value that are present in a
k8s_terraform_metrics/templates/k8s_provider.tf at main · ashwiniag/k8s_terraform_metricsTerraform + K8s + Vicoriametrics + Kube-state-metrics + Prometheus operator - ashwiniag/k8s_terraform_metricsGitHubashwiniag
Simple setup to monitor my machine using node_exporter: Exposes my machine metrics at http://localhost:9100/metrics vmagent: Scrapes the metrics exposed at /metrics at defined interval and sends it to victoriametrics victoriametrics: It is a single node set up, a tsdb storage. grafana: Visual representation of metrics used
k8s_terraform_metrics/templates/ssm.tf at main · ashwiniag/k8s_terraform_metricsTerraform + K8s + Vicoriametrics + Kube-state-metrics + Prometheus operator - ashwiniag/k8s_terraform_metricsGitHubashwiniag
Most basic setup to have when working with terraform is - Where to store terraform statefile and avoid all hassles! Some issues you run into: * Access to tfstate: Needs access to same terraform statefile across the team to work with infra setup. Hence, statefiles are to be storedin shared location.
item=30 total=70 percent=$(awk "BEGIN { pc=100*${item}/${total}; i=int(pc); print (pc-i<0.5)?i:i+1 }") echo $percent 43 --- used = 30 total = 70 percentage=$(awk "BEGIN { pc=100*${used}/${total}; i=int(pc); print (pc-i<0.5)?i:i+
dumps from long thread Hey, I'm seeing a few fargate tasks going from pending --> running --> stopped during rolling-update. Any idea why this'd happen? Ashwini 10 days ago I'm assuming it enters running state after all the criteria like ALB health
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item=30 total=70 percent=$(awk "BEGIN { pc=100*${item}/${total}; i=int(pc); print (pc-i<0.5)?i:i+1 }") echo $percent 43 --- used = 30 total = 70 percentage=$(awk "BEGIN { pc=100*${used}/${total}; i=int(pc); print (pc-i<0.5)?i:i+
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Goal: Setup SSO for atlassian bitbucket using crowd while fedarating users from external IdP. And end to end SSL termination. Let's break down the setup: 1. Integrate Crowd with Redhat SSO ( external IdP in my case ) 2. Integarte Crowd and bitbucket Crowd SSO provides authentication for all atlassian
Generally I like to maintain binaries. It could be downloaded or custom etc. Here is what I do * Actions mkdir ~/my_bin echo "export PATH=\$PATH:~/my_bin" >> ~/.bashrc source ~/.bashrc Note: It last till the terminal session when you execute "export PATH=$PATH:<
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Adds ssh key to aws secrets manager using terraformAdds ssh key to aws secrets manager using terraform - main.tfGist262588213843476
Beyond the Beaten Path
We all do have our doubts about our capabilities... Being on slippery ground I realized two things - having a mentor is important and equally important is selling yourself to people out there and determining your worth. In the beginning it won't be easy and there are so
Beyond the Beaten Path
✳️ 🍕 🧁 🍧 ▪️ 🌼 🦋 🤯 🌮 🐰 💩 🍀 🌴 🐜🍟 🦧 🍁 🍒 🍸 🥂 🍬 🍹 🙀 😵 🥴 🧐 😖 🐣 👀 🐼 💭 🎀 🎈 🍦 🛡️ 🔘 🍨 ❓ 🇦 😁 ✴️ 💡 🤦♀️ 🤷🏻♀️ To be honest I have had my hard share of time to understand and accept that taking your own time to understand a topic is normal and good. one should not focus on learning fast rather one should learn to ask good questions!! Beacause thats how we deepen our understanding.
Knowledge is Power!
Simple setup to monitor my machine using node_exporter: Exposes my machine metrics at http://localhost:9100/metrics prometheus: A storage for metrics. It scrapes the metrics from endpoint /metrics at defined interval to get the current state of the metrics and stores values in prometheus tsdb grafana: Visual representation
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Abstract:: * Add CloudWatchAgentServerPolicy policy to EC2 instance IAM role * Install CloudWatch Agent ( amazon linux 1 ): https://s3.amazonaws.com/amazoncloudwatch-agent/amazon_linux/amd64/latest/amazon-cloudwatch-agent.rpm * Create a file /opt/aws/amazon-cloudwatch-agent/bin/config.json and add custom metrics needed for monitoring. Example: { "metrics": { "metrics_collected"
Knowledge is Power!
Multitenancy is a concept in which a single instance of a software application or service serves multiple customers or "tenants." Each tenant has their own isolated environment, separate from other tenants, and is only able to access and modify their own data. In simple words, it means that
Knowledge is Power!
Quick peek-a-boo :P => /var/log/messages : General log messages => /var/log/boot : System boot log => /var/log/debug : Debugging log messages => /var/log/auth.log : User login and authentication logs => /var/log/daemon.log : Running services such as squid, ntpd and others log message to
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Basic understanding Story is kinda similar to DNs basics. * There is a sender and a receiver. Both have their Email server. * To make it easy these mail server can be gmail, yahoo, orkut etc. * EX:Sender's mail: sender@gmail.comReceiver's mail: receiver@yahoo.comsender wants to
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Backdated data refers to data that is recorded or entered into a system with a date that is earlier than the current date or the date of the data collection. Backdated data can occur when data is recorded or entered manually, and the person responsible for recording the data enters