Operations | Monitoring | ITSM | DevOps | Cloud

We've been receiving a lot of requests from our amazing customers who are eager to learn more about optimizing their cloud costs with Qovery. It's clear that this is a hot topic, and we couldn't resist the opportunity to help you out. That's why we've organized a special live event just for you! In today's recap, we'll dive into why cloud cost optimization matters and share our best tips on how you can make the most of it using Qovery and our fantastic partners.

Data is the new oil, and it’s crucial to protect it from prying eyes. With the increase in cyber attacks, encryption is more important now than ever before. Azure Storage Data Encryption offers robust security features that help safeguard data stored on Microsoft Azure Platform.

Software Defined Cloud Interconnects (SDCIs) offer several advantages over other private cloud connectivity options, and are becoming a key part of enterprise cloud connectivity as businesses consume more business-critical cloud applications. As enterprises add more public cloud providers and regions, the network becomes more complicated, requiring more accessible private cloud connectivity options.

On the 2nd of May 2023, Jaspreet Kaur of the Azure Automation Product Group released this blog, providing an update on updates to Azure Automation in 2022 and what is in the pipeline for 2023. In the blog, Jaspreet detailed the major changes that Microsoft have made to the core of Azure Automation to improve the reliability and scalability of the underlying infrastructure.

Migrating data can be tricky and stressful, even under the best conditions. Jira migrations can be particularly complicated due to the various applications many organizations use in conjunction with it. As you are likely aware of, in an effort to focus on offering a better Cloud service, Jira Server has reached the last stage of its End-of-Life transition, with no further support planned after Feb. 2024.

We've seen a tremendous transition in the architecture of our systems over the years, from basic, linear systems to increasingly sophisticated, non-linear systems. We've moved away from monolithic programs, where a single person could comprehend the entire operation of a system, and toward a distributed world dominated by a microservices design.

It’s a fact of life within the SaaS world that some features will perform better or worse than others in terms of costs versus revenue. If it were possible to develop every single new release in a way that it would flawlessly maintain desired profit margins, everyone would be doing it. What separates the major players from companies that struggle year after year is how they monitor and respond to changing circumstances as they arise, and whether they learn from past mistakes.

At one particular time, a developer would spend a few months building a new feature. Then they’d go through the tedious soul-crushing effort of “integration.” That is, merging their changes into an upstream code repository, which had inevitably changed since they started their work. This task of Integration would often introduce bugs and, in some cases, might even be impossible or irrelevant, leading to months of lost work.