Opsani

Redwood City, CA, USA
2015
Mar 4, 2021   |  By Cassidy Bodley
If you’ve ever gone through the pain and anxiety of responding to an unexpected failure in your production system, then intentionally breaking things in production is probably not anywhere on your current “to do” list. However, the principle of chaos engineering intentionally breaks parts of a production process to test its resilience. Such experiments’ intended outcomes are not at all the same as the unplanned outage you may have experienced.
Feb 25, 2021   |  By Webmaster
Becoming cloud-native promises speed, flexibility, better products, and lower costs. But here’s the rub: for many companies, the reality isn’t nearly so rosy. Most digital transformation projects aimed at making companies more cloud-native actually drive up costs. Why? Well, there are many reasons; if you’re interested in root-cause analysis, Cloud FinOps by J. R. Storment is an excellent read.
Feb 24, 2021   |  By John Starmer
Implementing DevOps practices for application development has generated an incredible acceleration in code velocity and reliability, and that is just on the Dev side. As the infrastructure that runs applications is increasingly treated as code, similar benefits are being seen in the operations (Ops) side that deploy and run those applications.
Feb 10, 2021   |  By Lorne Boden
If your cloud optimization strategy is once and done, you’re not actually optimizing your application. This strategy is similar to watering your crops when you plant them and not adjusting for the season, the changing weather conditions, and certainly not watering for the season’s duration. If this were the case, your crops wouldn’t stand a chance. Yet, this is how most companies are approaching their cloud optimization strategy today.
Jan 28, 2021   |  By Opsani Team
We hate to break it to you, but recommendation engines aren’t optimizing your application. Let’s break down the difference between a recommendation engine and an autonomous engine. A recommendation engine is simply a reporting mechanism that tells you that there is something wrong. Let’s say you’re spending too much money on a particular application or service in your cloud; a recommendation engine will notify you of this. Autonomous optimization is the next generation.
Jan 21, 2021   |  By Amir Sharif
According to Gartner, “To fully reap the value of these new technologies, particularly those deployed in the cloud, organizations need to pursue a DevOps approach to how they plan, build and run workloads. We believe, the vendors identified in this research have built products to solve customers’ challenges in accelerating scaling of cloud environments and in enabling adoption and operationalization of cloud-native platforms.
Jan 8, 2021   |  By Cassidy Bodley
I recently got to interview our CEO Ross Schibler to find out where Opsani all began. Ross is a serial entrepreneur and innovator. He has watched his ideas manifest into successful products in many different markets. So, how did Opsani begin? One word. Autonomous. Basically, automation, right? No. Automation is doing the same task over and over. It’s very predictable. For example, a piece of code will always do the same thing with the same input.
Jan 4, 2021   |  By Cassidy Bodley
Welcome back! If you are new to the blog, be sure to check out the first blog, “5 Reasons Startups Fail,” of our leadership series. This week, I had the pleasure to interview Pat on the topic of the race to startup success. Please grab a cup of coffee (or a cocktail) and sit back while we supply you with some hard-won advice on how to not only survive, but thrive in Startupland.
Dec 18, 2020   |  By Emily Estrada
With the pandemic, there has been a major shift to remote work. This can cause burn out for employees. Working from home blurs the line between life and work. With this lack of work-life balance, workers are feeling more stressed than ever. We want to give you some tools that have helped our team deal with the new work-life adjustment.
Dec 15, 2020   |  By Cassidy Bodley
I recently had the pleasure to sit down, via Zoom of course, with the master of startups himself, Pat Conte. Pat has been transforming startups for almost as long as I have been alive. So, you can say there is not a lot that surprises him. “How long have you been involved in startups?” “More than 20 years. Sounds like a long time, but it’s gone by in a blink of an eye.”
Feb 9, 2021   |  By Opsani
75 000 000 000 000 000 000 ( that is 75 Quintillion) equals the number of grains of sand on the earth and the number of permutations you'd need to consider when optimizing just two parameters on an app with 11 microservices. COaaS can make that not just possible, but easy.
Feb 1, 2021   |  By Opsani
Watch our webinar where our VP of Product and Marketing Amir Sharif sits down with Ravi Lachhman, an Evangelist from Harness and Russ Barnett, the Chief Architect of Ancestry. They will discuss the agile enterprise when it comes to software development, specifically CI/CD, why this differentiates companies, and what we can expect to come in the future in terms of innovation. Opsani is the leading Continuous Optimization as a Service (COaaS) platform.
Dec 7, 2020   |  By Opsani
Learn how Continuous Optimization as a Service (COaaS)combined with OLAS allows users to tune their application for optimal performance at scale optimally. Continuous Optimization as a Service (COaaS) will rightsize your resources to continuously and autonomously tune workloads with sophisticated AI algorithms. In addition to COaaS, OLAS (Opsani Learning AutoScaler) extends COaaS with autonomous, intelligent autoscaling that automatically learns traffic periodicity, trends, and burst behavior.
Nov 10, 2020   |  By Opsani
Manual workload tuning is reactive and takes several weeks to tune. Enterprises are over-provisioning their applications as they cannot do tuning on the scale that is needed. This results in massive waste, sub-optimal performance, and lower availability of the application
Nov 4, 2020   |  By Opsani
Learn how Continuous Optimization as a Service (COaaS) allows users to continuously and autonomously tune workloads with sophisticated AI algorithms. We will deep dive to understand how AI engines will allocate resources dynamically to tune applications for the best performance at the lowest possible costs. Offloading your engineers to focus on critical feature delivery, while the infrastructure automatically delivers the best performance at the lowest possible cost.
Oct 20, 2020   |  By Opsani
At the MeetUp Artificial Intelligence and the Enterprise Stack, Jocelyn Golfein answers whether she believes it is best to use Kubernetes with Kubeflow or a managed service. Jocelyn then passed the question on to Peter, Opsani's CTO and VP of Engineering, to give his expertise.
Oct 14, 2020   |  By Opsani
When a company is transitioning from a non-cloud to a cloud system, should they use AI for the digital transformation or wait until they have gone through the process? Jocelyn Goldfein answers when is the best time to incorporate AI in a digital transformation and best practices.
Oct 6, 2020   |  By Opsani
Jocelyn Goldfein, technology executive and investor, shares her take on what types of companies can take advantage of AI. She also discusses what different levels of AI companies can leverage. Tune in to learn more!
Sep 30, 2020   |  By Opsani
We are the only solution on the market that has to ability to autonomously tune applications at scale, either for a single application or across the entire service delivery platform. We can do this simultaneously and continuously. Another differentiator is we can auto discover the workloads as they are coming on board and then be automatically able to deploy the SLOs to those applications and start the automation of that tuning process. Tune in to learn more!
Sep 29, 2020   |  By Opsani
Our mission is leverage artificial intelligence to help you achieve the greatest possible performance for your applications operating in the cloud.
Nov 26, 2019   |  By Opsani
For good reason, all organizations want to optimize their applications. However: 99% of performance tuning efforts fail. If they ever even begin. Why?

Optune Continuous Optimization AI is the quickest, easiest way to make your cloud applications run faster and more efficiently.

Optune learns how your application performs and automatically optimizes your cloud infrastructure any time a change is made. Changes such as releasing new code, new instance types from your cloud provider, or heavier user traffic will trigger Optune to adjust. Optune cloud optimization continuously works to meet your key performance metrics bound by your Service Level Objectives.

Optune is AI for Continuous Performance Optimization of cloud applications that works on AWS, Azure and the Google Cloud Platform. It reduces latency, increases throughput and controls cloud runtime costs automatically:

  • Latency: Reduce application latency up to 50% without changing your code to maximize user satisfaction, reduce churn and boost revenue.
  • Throughput: Double bandwidth or requests served with the same number of machine instances to accommodate a growing user base.
  • Cost: Control runtime cost while maintaining or increasing performance of your application to improve margins and the bottom line.

Achieve optimal performance for every release with AIOps Powered by Optune.