That’s a wrap! Gremlin hosted Failover Conf 2: Fail Smarter on April 27, 2021. In attendance were over 500 SREs, developers, sales engineers, product managers, DevOps experts, C-level execs, and other reliability pros from around the globe! This year’s conference included discussions around the future of DevOps, strategies for building reliable teams, analyzing human error to create better systems, and more.
Today, almost every service now is offered in a “Cloud” variant. But what does that really mean? Are all clouds services equal? It’s easy to see why so many vendors rush to add a Cloud edition/variant of established software they sell. Undoubtedly, there has been a move to Cloud services across the industry, as more and more organizations seek to take advantage of the higher reliability and lower total cost of ownership that Cloud platforms promise.
Java memory analysis is an important process in checking the performance of a Java application. It helps Java developers ensure the stability of the application by checking the memory consumption. There are several factors to look into when doing memory analysis. But to get to the bottom of this process, it is vital to learn first how memory works.
IT solutions are either utilized as a service or procured from third-party vendors by organizations of all types and sizes. This enables organizations to gain access to reliable IT technologies without having to internally build, operate, or manage the underlying systems. As a result of this, both the organization and the solutions provider sign a service-level agreement (SLA), which commits the vendor to deliver services that meet the established performance requirements.
One of the greatest challenges you may face when creating Kubernetes dashboards is getting the full picture of your cluster. Kubernetes is the de-facto standard for container orchestration, but it also has a very steep learning curve. We, at Sysdig, use Kubernetes ourselves, and also help hundreds of customers dealing with their clusters every day. We are happy to share all that expertise with you in the Kubernetes Dashboards.
Let's all face it, on call work isn't fun. But it can be better. Even if you have to work on call, it would be nice to have at least some of the work done for you, before you drag yourself out of bed at 3am to respond to an incident.
Microservices are the future of software development. This approach serves as a server-side solution to development where services remain connected but work independently from each other. More developers are using microservices to improve performance, precision, and productivity, and analytical tools provide them with valuable insights about performance and service levels.
When we launched Qovery in January 2020, our product was still a prototype, and we onboarded 53 developers to help them deploy their apps in the cloud. At the time, we were only 2 on the team, and our first employee (Patryk Jeziorowski) decided to join us after being one of our first users. 18 months later, 3004 developers from more than 110 countries use Qovery to deploy their apps on their AWS and Digital Ocean account.
Testing in production simply means testing new code changes in production, with live traffic, in order to test the system’s reliability, resiliency, and stability. It helps teams solve bugs and other issues faster, as well as effectively analyze the performance of newly released changes. Its overall purpose is to expose problems that can’t be identified in non-production environments for reasons that may include not being able to mimic the concurrency, load, or user behavior.
PHP has been one of the top (if not best) server-side scripting languages in the world for decades. However, let’s be honest – error logging in PHP is not the most straightforward or intuitive. It involves tweaking a few configuration options plus some playing around to get used to.
