The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
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.
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.
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.
The Azure SQL Managed Instance is one of Microsoft’s Platform-as-a-Service (PaaS) offerings for SQL. It adds all the features you would expect of a PaaS platform such as automated patching, backups and streamlined high availability whilst closely aligning the technology to on-premises or IaaS workloads to reduce the barrier to entry. The product features near 100% compatibility with the latest Enterprise Edition of SQL Server and the automated Azure Data Migration service.
Slack recently had a no good very bad day in which some broken external monitoring contributed to a perfect storm. But one passage caught our eye: “After the incident was mitigated, the first question we asked ourselves was why our monitoring didn’t catch this problem. We had alerting in place for this precise situation, but unfortunately, it wasn’t working as intended.
At Grafana Labs, we’re big fans of putting ourselves in the shoes of our customers. So when it comes to building a product, dogfooding is a term we throw around constantly. In short, what it means is that we actually use the products we create throughout their entire life cycle. And I really mean the whole life cycle.
In today’s post, we’ll look at two Elixir HTTP client libraries: Mint and Finch. Finch is built on top of Mint. We’ll see the benefits offered by this abstraction layer. We’ll also talk about some of the existing HTTP client libraries in the ecosystem and discuss some of the things that make Mint and Finch different. Finally, we’ll put together a quick project that makes use of Finch to put all of our learning into action. Let’s jump right in!
The sheer scale of connected devices across physical, virtual, and distributed networks has come to scale that it has become practically impossible for most network administrators to manually keep an eye on each node. Along with the scale, the connectivity between devices within each network has also become denser.
Lazy-loading is the most ironic term in programming. That’s because, instead of eating its third bowl of cereal on the couch, what lazy-loading actually does is make your User Interface more efficient. And efficient UI is important to us at Sentry. We don’t want our customers tapping their feet and pointing to their imaginary watch while waiting for their page to load.
