Cloud computing optimization is a growing priority, as engineering becomes more accountable for justifying growing AWS spend. Companies that are rapidly growing can be particularly vulnerable to large fluctuations in cloud spending, which often seem to strike without rhyme or reason. Getting a handle on cloud cost is a critical first step toward cloud computing optimization, and can result in more efficient and effective systems across the board.

Serverless computing is the latest, greatest thing in the technology world. Although the serverless concept has been around in one form or another for more than a decade, the introduction of serverless platforms from major cloud providers—starting with AWS Lambda in 2014—has brought serverless mainstream for the first time.

CloudTrail logs track actions taken by a user, role, or an AWS service, whether taken through the AWS console or API operations. In contrast to on-premise-infrastructure where something as important as network flow monitoring (Netflow logs) could take weeks or months to get off the ground, AWS has the ability to track flow logs with a few clicks at relatively low cost.

A recent Gartner report states: “Organizations with a cross-discipline cloud strategy are more likely to find success in cloud initiatives and recognize the full benefits of cloud.” Advances in machine learning and AI have opened up avenues for forward-thinking enterprises to drive extensive automation using the latest cloud technologies.

There is a paradox at the heart of serverless. While it’s promoted as a very agile way to develop, a way to push your product as fast as possible to your customers, many development teams find it really difficult to work fast. Why does this happen and can we solve the issue? Let’s start with what makes serverless such a powerful paradigm. Serverless rests on three legs, each of which contributes to the agility that serverless is known for.

By Des Nnochiri Most enterprises now use two or more cloud service providers, and 35% use up to five monitoring tools to keep tabs on hybrid cloud and multi-cloud environments. Even before organizations began shifting software and IT infrastructure to the cloud, a typical business would use four to ten tools just to monitor and troubleshoot their internal networks, according to analyst and consulting firm Enterprise Management Associates.

Joao Grassi — a .NET developer, front-end hobbyist, and friend of Sentry — likes .NET very much. So do we. With the help of one of Sentry’s top 10 SDKs, .NET developer teams process roughly half a billion .NET events every month. In this post, we strive for app security with Azure Key Vault and Sentry. By now, it’s not big news that ASP.NET Core is the future of web development with .NET.

Serverless computing is becoming more popular as organizations look for new ways to deploy their applications in the cloud. With higher levels of abstraction, easier maintenance, a focus on high performance, and ephemeral workloads, serverless computing solutions like Lambda are finding a permanent place in the mix of cloud infrastructure options.