Kibana + elastic search developer for adhoc work

500, hi how are you, i have a solid experience in ELK, using elasticsearch for monitoring various logs like application logs, firewall ids/ips logs etc. thanks good luck

500 Hi Hiring manager I am LinuxSA,AWS,Google Cloud(GPC),Chef,Apache,Perl,Python,Firewall,Oracle Exeprt Some of the key skills I have are : . Extensive Hands-on experience on the Linux operating system(Centos/Redhat). . Strong troubleshooting skills and business acumen. . Enjoy designing scalable and highly available services. . Monitoring systems using tools like xymon, Nagios, appDynamics, Microstrategy, Graphite/Graphana, Splunk, Kibana/ELK, Pagerduty, Ambari, etc. . Strong troubleshooting knowledge in Linux, performance tuning . ProvideServer Maintenance and Hardening . Monitor NOC for security and performance . Working in structured change management processes for highly available enterprise systems . Good understanding about SAN/NAS technologies and NFS4 access control . Expertise in Vmware (Vcp preferred) . Plan and build cloud servers anticipating customer resource utilization . Experience with shell scripting and at least one language (Perl/Python/Ruby) . Many years of experience on Networking technologies, protocols, tuning and troubleshooting Linux server issues, Cluster services . Excellent interpersonal and communication skills and Ability to work on multiple initiatives and projects . Scheduling jobs using Jenkins, cron, etc. . Proficient with Chef, Salt, Puppet or other configuration management tools . Agile software methodology (JIRA) . Experienced with Apache/PHP, MySQL, MongoDB, etc and more Thanks

Hi, I've been working with elasticsearch, logstash and kibana for more than 5 years. I'm also elasticsearch certified engineer. This project will be done in very short period of time. Here is what can I do for you and how will it be done: 1- Logs ingestion from multiple data sources (FW, AD, .nix, windows, etc... ) into direct Elasticsearch or logstash 2- Logstash will be used for logs parsing with the help of pipelines writing 3- Elasticsearch indexing, index lifecycle management configuration, index template, nodes to nodes communication, cluster health management, data manipulation using ingest node, painless scripting for data enrichment etc..