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Sep 14, 2021   |  By Cassidy Bodley
Your app is performing well, so you’re probably thinking your application is reliable, but this is not the case! Why may you ask? Let me paint a picture for you, think of a high-performance race car, they are speedy, but they are not reliable. They break down and catch fire while spinning around the track. This is why racecar drivers always bring backup cars because it’s likely that something will go wrong.
Aug 31, 2021   |  By Cassidy Bodley
Just as vaccines came into the picture and some hope in this pandemic, new coronavirus cases started to emerge. In San Francisco, for instance, where mask mandates were lifted, and life was starting to feel more normal again, it feels as though we are now regressing. People are struggling to cope. It feels as though we’ve just gone from one variant with high transmissibility back down to another even worse than before.
Aug 27, 2021   |  By Amir Sharif
Ancestry was experiencing issues with performance, staying in budget, efficiency for some time, and decided to begin a digital transformation beginning with their CI/CD pipeline. This even included stopping the release of code altogether to standardize all their systems!
Aug 10, 2021   |  By Peter Nickolov
Peter led the development team that created one of the first cloud autoscalers back in 2006. He has over 15 years of experience building cloud platforms and helping customers reliably operate and scale high performance enterprise applications in the cloud.
Jul 30, 2021   |  By Kim Shaffer
If using ML to optimize your SaaS application is not part of your cloud journey, you are in for a BIG surprise. Wasted money, degrading top and bottom-line growth, and a team exhausted by the vicious loop of triaging SLO violations once a new deployment hits production.
Jul 30, 2021   |  By Patrick Conte
I have been involved in startups all of my career, and I want to know if the democratization of IT spending is still true. 5 or 6 years ago when I was a consultant in the infant DevOps space, it seemed there was a transformation taking place in the way enterprises acquire technology.
Jul 28, 2021   |  By Cassidy Bodley
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.
Jul 28, 2021   |  By Robert Starmer
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.
Jul 23, 2021   |  By Robert Starmer
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.
Jul 12, 2021   |  By Eric Kalosa-Kenyon
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.
Apr 28, 2021   |  By Opsani
It seems like the country is getting back on its feet, with millions of COVID-19 vaccinations being distributed every day. But unfortunately, we are not in the clear yet. 2020 was an unprecedented, challenging year, but it is crucial to remember that in 2021 we are in the pandemic’s fourth wave.
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!
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.