[Devops Cloud Elasticsearch] Logging Framework Setup

Hi There, Rohit's here , I am working as a software engineer it's been 5 years now and I have worked with elk ,kis,docker,aws, linux etc extensively . I have extensive experience with configuring and handling ELK stacks for various environments like development , staging , and production . I am working with the open - source version of elk stacks as well as AWS and elastic cloud - managed stacks also . Day to day , I worked with the processing of multiple application logs and their transformation and parsing to get better visualization and insights over those logs and data . I also have good working experience with configuring file beats , metric Beats , Logstash , Elasticsearch , and Kibana . I have also good experience with creating good visualization , dashboards and triggering alerts as well to detect any unusual patterns or events . I can configure complete EFK,merricbeat,upbeat over the kis cluster to monitor all the stacks using helm chart. Let's discuss in detail over chat to take it forward. Thanks Rohit

Hello there, I would like to let you know that I have more than 8 years of expertise in DevOps field. I can setup EFK Logging Framework in kubernetes. I have expertise with Cloud (AWS, GCP, AZURE etc.) and containerization(Docker, LXD, LXC) and orchestration(Kubernetes, Docker Swarm etc.) and infrastructure building(Terraform) and configuration management tools(Ansible, Ceph, Puppet), and CI/CD tools (Git, Jenkins) etc. I'm available for this project and willing to start immediately. I would love to hear from you. Please initiate a chat session for further discussion. Thank you

Hello, I am writing in response to your job post, I am a Cloud and Devops consultant, primarily working on AWS, GCP and Azure. I have helped my clients automate their workflows, migrate to cloud, automate on premises infrastructure and implement Continuous Integration and Continuous Delivery. I have worked extensively with tools like Docker, Kubernetes (multiple vendors), Jenkins, Terraform, Ansible, Cloud formation, Lambda , boto3 etc . Further, I have also worked on scaling monitoring and observation tools like Kafka , Kafka Connect , Strimzi , Grafana , prometheus , Node Exporter , Loki etc. In addition to the above tools, I have worked with caching and searching technologies like elastic search and redis at scale I strive to provide my clients with the best possible solution by understanding their requirements and constraints. Prior to moving to cloud and devops, I worked as a full stack web and mobile application developer in Java, php ,laravel , React and React Native.

Hello, Greetings!! I am highly professionals with over 15 years of extensive experience in IT / Linux Admin /DevOps Engineers/ Cloud Admin. Other Expertise are given below : Centos, RedHat, Ubuntu, Debian Apache, Nginx, Tomcat, Nodejs Docker, Docker-Compose, Kubernetes AWS EC2 Instance, Load Balancer, Auto Scaling Group, RDS, S3 Storage, EFS Storage, AWS Kubernetes, CloudFront Web hosting Servers WHM, cPanel, Plesk, VirtualMin BitBucket Pipeline GitHub Action Jenkins, Bamboo CI/CD Pipeline GCP BuildPipeline AWS Code pipeline Azure DevOps Kindly initialize the chat session for detailed discussion. Regards!

Dear, We appreciate your interest in setting up an EFK (Elasticsearch, Fluentd, Kibana) logging framework in Kubernetes with automated Helm charts. Our team of experts specializing in Amazon Web Services, Elasticsearch, Prometheus Monitoring, Kubernetes, and DevOps is excited to assist you with this project. Our proposal entails a comprehensive and streamlined approach to ensure a seamless setup. We will provide clear documentation accompanied by screenshots for each step, ensuring easy understanding and future reference. The entire process will be automated using Helm charts, guaranteeing consistency and repeatability across environments. To enhance observability, we will integrate Metricbeat and Upbeat with the EFK stack. This will enable efficient monitoring and collection of metrics from your Kubernetes cluster and applications. We will also include a sample Node.js application to showcase the logging and monitoring capabilities. Our team's deep expertise in these technologies will ensure a successful implementation, meeting your requirements and adhering to best practices. We will work closely with you to understand your specific needs and tailor the setup accordingly. We look forward to collaborating with you on this project. Our team is dedicated to providing a top-notch solution that meets your expectations. Please feel free to reach out to us with any questions or concerns you may have. Thank you for considering our proposal.