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Harnessing AWS Budgets for Proactive Cost Management and Monitoring

Computing and production giants have realized that in order to predict outcomes in large-scale systems truly you need more than just a simulation. There are many definitions of a digital twin but the general consensus is around this definition "a virtual representation of an object or system that spans its lifecycle, is updated from real-time data and uses simulation, machine learning, and reasoning to help decision-making." By having better and constantly updated data related to a wide range of areas, combined with the added computing power that accompanies a virtual environment, digital twins are able to give a clearer picture and address more issues from far more vantage points than a standard simulation can, with greater ultimate potential to improve products and processes.

OpenSearch is a powerful search and analytics engine that enables organizations to build custom search experiences and analyze their data in real-time. With the capability to handle large datasets, it has become a popular choice for businesses to manage their data. However, as with any powerful technology, OpenSearch can also come with substantial costs if not managed properly. This article will provide you with essential tips and best practices to help you optimize your OpenSearch costs, ensuring that you get the most value from your investment.

The costs of doing business in the cloud are, for a lack of a better word - cloudy. When analyzing Cloud costs there are more and more variables to consider. Our way of looking at this complexity is a holistic one, we enable a first-ever practice of real-time simulation to get "the big picture" context of IaC changes. The ability to look at your cloud posture from a different angle gives a broader more meaningful look at your cloud business costs. After years of Cloud Infrastructure experience, we can truly say that the most valuable resource and the one that costs the most is time. Our solution addresses cloud complexity head-on by allowing Cloud practitioners to see with context the effects of IaC changes and provide architectural standards whether community based or custom to keep your cloud strategy inline.

IaC Impact Analysis with Lightlytics Simulation Our simulation engine merges the current configuration state of your cloud in combination with the Terraform code proposed change, to determine how your cloud is going to be impacted if the code will be deployed, helping you prevent misconfigurations and eliminate critical mistakes before they are deployed by continuously simulating changes as part of the GitOps flow. Lightlytics comes out of the box with dozens of predefined best practices for Availability, Security, Compliance, and Cost. (Architectural Standards)Each best practice is validated every time a change is made.

We come from Infrastructure, we've been in the cloud trenches and here is our biggest conclusion: The cloud is a mess. At Lightlytics, our mission is to bring order into Cloud chaos, we do this by simplifying operations so the cloud becomes what it was always supposed to be - efficient and always optimizing. Before Lightlytics you needed to choose which complexity you wanted to tackle whether visibility, reliability, cost, security and more. Lightlytics provides clarity into your cloud enabling you to constantly improve your workflows and results.

If the cloud is a main point of business for you and running it efficiently is how you make more money you should know that you can have more visibility, control and most of all more development for your cloud buck. As a manager you have to know what to expect and how to plan for the unexpected, with Lightlytics connected to your IaC solution there is no unexpected or unknown, you can manage your business with the control you deserve - the responsibility is yours and you should have all the context to make a smart business decision.

How AWS Trusted Advisor Helps You Reduce Costs and Optimize Your AWS

We know that feeling, we come from Infrastructure we have sent down the pipeline and stressed over millions of lines of code and thousands of configurations. Just like you, we are cool-headed people but since we knew what could go wrong we would get to that place where we would stress over deployment. It’s natural really, when we don’t know what’s going to happen our mind goes into “flight” or “fight” mode which causes - you guessed it - stress. Deep Instinct released its annual Voice of SecOps Report which found that 45% of respondents have considered quitting the industry due to stress. Lightlytics was born out of the idea that instead of stressing, there must be a way to simulate and know precisely what is going on in our cloud in real-time.