StormForge’s Post

The rapid growth of Container adoption has taken the enterprise by storm, outpacing the use of container management tooling, leading Gartner to forecast a nearly 5X increase of this necessary tooling by 2027.  Now you can try StormForge today. See for yourself why Gartner selected StormForge as a 2023 Cool Vendor. 

I tried StormForge to see what it was all about. It truely is an amazing application that not only works as advertised but it is incredibly simple to get up and running. 15 minutes of your time can not only save money on you cloud bills but also give you the sizing advice for when it's time to move services from development to production. try out StormForge today!!!

To say right-sizing dozens, hundreds, and even thousands of #kubernetes workloads is a tall task is misleading. Most organizations don't have the engineering bandwidth to do it; don't do it consistently; or have staff dedicated to the endeavor. If you're in the cloud and not right-sizing, you're for sure overpaying for un/under-utilized resources. If you're running Kubernetes on-prem, then you're probably constantly bumping up against capacity restraints. As cloud-native initiatives mature, we're talking either millions of dollars in wasted compute resources or millions of dollars in wasted engineering bandwidth - and likely, some mix of both. So. What can YOU do about it? You can take StormForge Optimize Live for a test drive. 1. Sign up for a free trial with your work email address at https://lnkd.in/gxuBei4C. 2. Deploy the agent into a #k8s cluster with running workloads. 3. Sit back and watch us analyze your workload metrics, calculate over/under-provisioned workloads, their overall impact, and generate recommendations as code. Initial recommendations happen in a couple of hours. Like what you see? Purchase a license to enable continuous right-sizing for all of your workloads, realize a bunch of new savings/capacity, and tell your boss you're going on PTO for a much deserved break. #rightsizing #optimization #cloudnativeapplications #finops #worklifebalance

If you missed our demo at the AWS booth at Kubecon in Chicago, check out our latest video on YouTube, highlighting the cost optimization benefits of Karpenter and Optimize Live on EKS!

While working on creating Zabbix modules with Rust, I achieved my first success by passing a call from the Zabbix loadable module to the Rust function. #zabbix #rust

This is an example of a Rust function that, while interfaced with the Zabbix loadable module mechanism, actually performs some actions. Complete source code with build Makefile, which shows you how to interface Rust with Zabbix, can be found here. And yes, I did not use full Rust FFI capabilities, but my approach worked well for my purposes. https://lnkd.in/dyUs2sxf #zabbix #rust #rustlang #rustffi

Watch live today at 3pm ET to see how you can manage Kubernetes cluster efficiency to optimize performance and cost.

Scenario based Splunk Admin Use Case - 12 What happens, If the License Manager/Server is down? Quick answer is: If the License Peer cannot reach the License Manager for 72 hours or more, the search is blocked. indexing will continue to happen. Detailed Explanation:  - A License Peer communicates their license volume usage to the License Server every minute. If a License Peer cannot reach the License Manager for 72 hours or more, the Peer is in violation and search is blocked. A violation still allows indexing to continue.  - Users can not search the Peer in violation until the it reconnects with the License Manager. #splunk #splunkadmin #splunkblogs #splunkengineer #splunklife #softmania #splunkmania #scenario #usecaes #splunkenterprise

Which one is best? when it comes to the Splunk index buckets count. 24 one hour buckets? (or) One 24 hour bucket #splunk #splunkadmin #splunkblogs #splunkengineer #splunklife #softmania #splunkmania #troubleshooting #splunktroubleshooting #linkedinseries #livesessions

Do you know? Optimum Splunk buckets count? I beleive it depends on use case. If you have too much data for 24 hours, then it's good to have multiple buckets. If less data, then keeping in single bucket would make sense... What do you say?