To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and the function execution elapse time which is rounded up to 100ms.

Over the last few decades, some firms have worked hard to hire the right people and develop the right processes. However, those achievements have not translated into bottom-line growth. A more detailed examination of that matter shows that the issue lies somewhere in productivity.

Jacob Scott is an experienced engineer and enthusiastic participant in the resilience engineering community, having spent time caring for the technology systems powering high-growth startups as well as unicorns like Lyft and Stripe. He is deeply passionate about how to apply learnings from modern safety science to real, complex socio-technical systems.

Working remotely has grown over the past several months for many organizations. The ability to provide remote access involves being able to control access to network and cloud-based servers while allowing employees to access the data and files they require to do their jobs. Remote access is also needed to monitor what data and files employees are accessing. Working remotely allows a business to continue to operate when employees are not able to work in the office.

All storage devices, whether on-premises or in the cloud, are used to store or maintain data in a server. To organize files based on usage and perform read/write operations, the disk is divided into separate portions called partitions. A partition can contain the entire disk space or some of it. Disk usage gives the amount of space used by the storage device to read/write an operation.

Minimizing costs, reducing risk, and maximizing business value—all at the same time—requires a delicate balancing act. It’s not a new challenge, nor is it unique to IT infrastructures. But when it comes to the cloud, especially in hybrid cloud scenarios, it requires you to understand the performance, risk/compliance, and cost impacts of your current resource allocations and then adjust to maintain the optimal decisions to meet your SLA and budget targets.

For the first 6 months of 2020, Google has continued its monopoly on search engine use with an average net market share of 69.24%. Google’s continued favoritism puts it in a position to funnel the bulk of interested organic web traffic to your business making its blacklist a costly place to be. So, how do you stay on this giant’s good side?

High productivity. Low turnover. Satisfied workers. Less stress. A larger talent pool. Fewer office expenses. ADA compliance. And better work-life balance. When you list the benefits of remote work, there’s a lot to love – for both businesses and the people they employ – which is a huge reason why more and more companies are starting to embrace a remote workforce.

I’ve recently co-founded a startup, and after working so long in more mature enterprises with diverse toolchains, it was actually massively educational to return to first steps and figure out what our critical needs were, balanced with essentially zero budget. As we’ve grown and raised money, we’ve graduated in some areas to other tools, but I wanted to share what we felt were the absolute can’t-live-without-tools for a team building SaaS software.

Monitoring your system and infrastructure is critical to ensure the performance of your services. In fact, as software development moves faster and faster, alerting and monitoring becomes an indispensable practice for modern DevOps teams. Why is that exactly? That’s what I’m going to discuss today.