Functions as Service (FaaS) : its monitoring and use as tools
How about starting with an introduction? We will attach links to articles already published that expand on each concept or topic in order to keep our journey as compact as possible.
The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.
How about starting with an introduction? We will attach links to articles already published that expand on each concept or topic in order to keep our journey as compact as possible.
Nowadays, we need to pay for almost every service we use. Starting with our operating systems, antivirus software, for which we need to pay for a license to use. Also, if we wish to use various online services, we need to register an account on their website. Furthermore, we need to pay to be able to use the service entirely.
From ancient Rome and Greece throughout Latin America and Egypt, there is only one thing beside the history itself that kept those ancient times alive even today – the architecture. The most important part of any era in our immersive history was the building of magnificent objects all around the world. These objects, even today, are some of the many wonders of the world.
Over the past year, we’ve seen Dashbird providing increasingly better visibility for developers building serverless applications. One of our goals is to create a product service that gives end-to-end visibility into serverless architectures, one that aligns perfectly with the needs of our clients.
Serverless or Function-as-a-Service (FaaS) design patterns have been picking up steam. With the recent release of KNative from Google Cloud, let’s take a closer look at the serverless movement.
We live in exciting and worrying times. In serverless and containers, we have two amazing technologies that provide productive, machine-agnostic abstractions for engineers to work with. And yet, there seems to be an unbridgeable chasm between the two camps. If you have read anything I wrote in the last two years, you know that I am firmly in the serverless camp. But I was also an early adopter of containers.
In this article, Serverless computing (Functions as a Service), specificallyAWS Lambda for certain jobs is explored to explain the basics and reasoning for why it makes sense to use– with some example use-cases around OpsGenie. But first, let’s talk about the current cloud services available for running software.
Last week I attended ServerlessConf SF. This was the 8th and largest ServerlessConf to date with more than 550 attendees. The conference had an effective agenda with a strong slate of talks and an impressive presence of community thought leaders. Kudos to the ACloudGuru team for organizing the event!
Serverless compute services such as AWS Lambda offer many advantages to their customers, most notably the ability to reduce costs and minimise infrastructure. But serverless can also bring trade-offs that give rise to application performance issues.