Waterfall charts are diagrams which represent how website resources are being downloaded, parsed by the engine, in a timeline that gives us the opportunity to see the sequence and dependencies between resources. It assists in identifying where important events happened during the loading process. They can also let the user easily see how good or bad the performance of their website is, showing you exactly what is slowing down your site.
As a typical Internet user, nothing is more frustrating than waiting for a web page to display, only to receive a “Page Not Found” 404 error status code. Sure, we try reloading the page, and sometimes that gets the gremlins to start working, but most times, the issue is out of our hands. For all of us typical users, we either go onto the next thing or find a different site. There’s a lot going on in the background that most of us are completely unaware of.
The role and responsibilities of a site reliability engineer (SRE) may vary depending on the size of the organization, and as such, so do site reliability engineer tools. For the most part, a site reliability engineer is focused on multiple tasks and projects at one time, so for most SREs, the various tools they use reflect their eve-evolving responsibilities.
In the world of a site reliability engineer (SRE), failure is not only an option, but also expected. Systems, web applications, servers, devices, etc., are all prone to performance issues and unexpected outages at some point. It is an unavoidable fact. These unexpected failures can lead to huge revenue losses, customer trust and depending on the industry, maybe fines. Fortunately, SRE incident management is one of the core practices used to limit the disruption caused by unexpected issues.
There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. The recipe was straightforward. Do you have a database? Check. Do you have a web server? Check. Great, your system was ready to be deployed.
In one of our previous articles, we discussed what an SRE is, what they do, and some of the common responsibilities that a typical SRE may have, like supporting operations, dealing with trouble tickets and incident response, and general system monitoring and observability. In this article, we will take a deeper dive into the various SRE principles and guidelines that a site reliability engineer practices in their role.
The role and responsibilities of a site reliability engineer (SRE) may vary depending on the size of the organization. For the most part, a site reliability engineer is focused on multiple tasks and projects at one time, so for most SREs, the various tools they use reflect their eve-evolving responsibilities. A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., so they are going to see more tools in that toolbelt.
A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.
A lot of time and resources are invested in making sure your customers get your emails. This is where email infrastructure comes in handy. While you have limited control over user interaction with your emails, monitoring email infrastructure is in your hands. Email infrastructure usually consists of your server and domain configuration, server performance, IP address, mail agents, and more. And to make sure your email infrastructure is in perfect working order, you need to constantly monitor it.
Serverless. It’s likely you’ve already come across this term somewhere, but what exactly does it mean? Well, to start, serverless, or serverless computing, doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others.
