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Which Sources of Metrics Should You Use for Optimization?

Welcome back to my series about metrics for optimization. In the last blog, I discussed the meaning of optimization, determining what you are trying to optimize, and learning how to discover if your enterprise’s optimization goal is a business or technology goal. If you did not get the chance to read my last blog, I suggest you do so as you need to understand what optimization is to progress to our next topic, which is the sources of metrics you should use.

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Does the Source of Your Application Metrics Matter?

Thanks for returning to our series Metrics for Optimization. Once again, please be sure to read our first two blog posts, What is Optimization? and Which Sources of Metrics Should You Use for Optimization? In my first post, I taught you what optimization means, how to figure out what you are trying to optimize, and if you are focused on business goals or technology goals when performing this optimization.

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What Is Optimization And Why Is It Important?

We will be doing a four-part blog series about looking at the sources of metrics for optimization. To kick off the series, I will teach you what optimization actually means, what you are trying to optimize, and if you are focused on business goals or technology goals when performing this optimization. In our next blog, we will look at APM derived metrics and metric domains you can leverage, as they are the two primary sources people rely on for optimization today.

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Solving for Scalability and Stability in Production Kubernetes using Opsani's Machine Learning Solution

Getting the problem statement right is crucial. In this blog, you will learn how Opsani’s understanding of our customers’ scaling and stability concerns has evolved and directed the specific technical problems we solve. This blog will conclude with our working problem statement, turning “just make my app scale and not cost infinity dollars” into something a bit less vague we engineers can work with.

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Opsani Is Proud to Announce We Are Part Of The AppDynamics Integration Partner Program

We are the only continuous Cloud Optimization as a Service (COaaS). Opsani uses machine learning (ML) to continuously, autonomously tune cloud apps’ key parameters for improved reliability, scalability, and maximum efficiency. The cloud and DevOps practices have made it possible to deliver software more quickly than ever, compressing release cycles from quarterly to weekly or even daily. As a result, workload optimization has taken a backseat.

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Opsani Is Proud to Announce that We Have Released an Integration for AppDynamics

We are a continuous Cloud Optimization as a Service (COaaS) company. Opsani uses Machine Learning (ML) to continuously and autonomously tune cloud applications’ key parameters for improved reliability, scalability, and maximum efficiency. Modern cloud and DevOps tools have made it possible to deliver software faster than ever, compressing release cycles from quarterly to weekly or even daily. As a result, workload optimization has taken a backseat.

opsani

Your Cloud Optimization Questions Answered! Here are our FAQs

We created a survey to ask our consumers about their cloud to gain insight into how we can provide the best possible solution to our customers. 270 people responded in the tech community of all different job titles and cloud providers. This survey gave us lots of valuable insight into how companies are using the cloud for their business and their pain points, which is where we come in.