Making better decisions doesn’t always require more data. Finding the right data and making sure the right people have it at the right time does. This is particularly important for companies that use the cloud. Using cloud financial planning solutions is an excellent way to automate, extend, and align goals with business outcomes in light of the cloud’s complexity. The solution can also help eliminate cumbersome, error-prone manual processes.

The key challenge with modern visibility on clouds like AWS is that data originates from various sources across every layer of the application stack, is varied in format, frequency, and importance and all of it needs to be monitored in real-time by the appropriate roles in an organization. An AWS centralized logging solution, therefore, becomes essential when scaling a product and organization.

Any new technological breakthrough tends to be greeted by two opposing factions. On one hand, you have promoters, for whom this technology is a panacea, the cure for every ailment plaguing the current environment.

Every Lambda function comes with 512MB of ephemeral storage in the shape of a /tmp directory. This storage space can be reused across multiple invocations for the same instance of a Lambda function. Each instance of a function has its own /tmp directory and data is not shared amongst different instances of a function.

Life before containerization was a sore spot for developers. The satisfaction of writing code was constantly overshadowed by the frustration of attempting to force code into production. For many, deployments meant hours of reconfiguring libraries and dependencies for each environment. It was a tedious process prone to error, and it led to a lot of rework. Today, developers can deploy code using new technology such as cloud computing, containers, and container orchestration.

Knowing only how much you spent on your AWS bill each month isn’t enough to provide the cost visibility you need to make cost-aware engineering and business decisions. It's why AWS introduced tags. Tags enable AWS users to label their resources to track cost and usage in the vast AWS infrastructure. The goal of tagging is to help you understand who, what, and why your cloud spend is changing.

Welcome once again to another Logic App Best practices, Tips, and Tricks. In my previous blog posts, I talked about some of the most essential best practices you should have while working with the Azure Logic App: And some tips and tricks: Today I’m going to speak about another critical Best practice, Tips, and Tricks that is often overlooked: learning from failures.

Welcome to the second post in a series of “How to Scale your AWS Infrastructure”. In the first post, we talked about horizontal scaling, autoscaling, CI/CD, infrastructure automation, containerization, etc. In this post, we will continue the discussion around databases, loose coupling, caching, CDN, etc. Let’s start the discussion with database scaling.

We’ve got some outstanding news to share in the arena of security partnerships: Logz.io® Cloud-based SIEM has officially achieved Amazon Web Services (AWS) Security Competency! This designation within the Logging, Monitoring, SIEM, Threat Detection, and Analytics category further demonstrates Logz.io’s proven commitment to delivering best-in-class security.