Cloud computing has many benefits. But there are also challenges, and cloud cost management may be one of the biggest. Here are 49 stats, benefits, and hard truths you need to know about cloud cost management, along with tips and requirements to help you take control and keep your spending in check while delivering on all the value you’re looking for.
Performance is a vital component of user experience. Users will leave—and likely not come back—if your site is slow. If they stay, they’ll be less likely to buy from you if their experience is subpar. To add insult to injury, they’re even less likely to find your app to begin with, since Google punishes poorly-performing sites in the search results. To solve the problem of poor performance, knowledge of what impacts performance is essential.
It’s easy to see why developers and IT engineers should care about AIOps, which automates tasks (like incident remediation) that they would otherwise have to perform manually. But what does the business get out of AIOps? How do AIOps-powered tools help improve business outcomes? Those questions are critical to answer for any organization considering an investment in AIOps solutions.
I recently talked with James Kao, Head of Engineering for APM at Broadcom. James leads the global development team to deliver the AIOps and application monitoring solutions that power the world's most successful businesses. He has had a diverse background in application development and monitoring across development, product management, and solution engineering roles over the last 20 years at both large enterprises and startups such as Oracle, ClearApp, and The Middleware Company.
Since being launched in 2014, the AWS Lambda service has spread fast amongst developers and cloud architects, for it is easy to use, and there is a significant cost benefit (pay-per-use basis). AWS Lambda is an Amazon Web Services serverless deployment platform that you can use in the AWS cloud environment with basically no overhead. It will save you much time and resources using Lambda for performing code tasks for websites, applications, and services running on AWS.
Development is no longer a linear journey from point A to point B. As more projects shift into a state of organic growth, user feedback and constant experimentation are increasingly becoming the norm, if not the standard for engineering. “In order to support this rapid experimentation, we’re beginning to embrace new working methods and practices,” said Vinodh Ravi, Executive Director of Platform Engineering at JPMorgan Chase.
In any enterprise, IT or otherwise, infrastructure monitoring and management are extremely crucial. A drop in performance or a failure of a machine can lead to significant delays. For that reason, there’s a constant need for eyes on the overall infrastructure to ensure smooth operations. One of the best ways to gauge the overall health of infrastructure is by monitoring key performance indicators (KPI).
Monitoring is a critical aspect of cloud computing. At any time, you need to know what’s working, what isn’t, and have the ability to respond to changes occurring in a given environment. Effective monitoring begins with the ability to collect performance data from across an ecosystem and present it in a useful way. So the easier it is to manage monitoring data across an ecosystem, the more effective those monitoring solutions are and the more efficient that ecosystem is.
A new version of Loki was released back in November, and I’m here to talk about one of its most exciting features. Loki 2.4 finally removed the requirement that all data must be ingested in timestamp-ascending order. Instead, Loki now allows out of order logs up to a configurable validity window (more to come on that). In this post, I’ll walk through what all this means and why we’re thrilled about it.
