Operations | Monitoring | ITSM | DevOps | Cloud

April has come and gone, and we’ve got more exciting news to show for our efforts! This month, our teams have been hard at work: Keep reading for more details!

Time series data streams are often noisy and irregular. But it doesn’t matter if the cause of the irregularity is a network error, jittery sensor, or power outage – advanced analytical tools, machine learning, and artificial intelligence models require their data inputs to include data sets with fixed time intervals. This makes the process of filling in all missing rows and values a necessary part of the data cleaning and basic analysis process.

Engineers know best. No machine or tool will ever match the context and capacity that engineers have to make judgment calls about what a system should or shouldn’t do. We built Honeycomb to augment human intuition, not replace it. However, translating that intuition has proven challenging. A common pitfall in many observability tools is mandating use of a query language, which seems to result in a dynamic where only a small percentage of power users in an organization know how to use it.

We’ve all read the headlines about spectacular data breaches and other security incidents, and the impact that they have had on the victim organisations. From LastPass to SolarWinds, “data security” seems to be the phrase on the lips of every CTO these days. And in some ways there’s no place more vulnerable to attack than a big data environment like a data lake.

The PodSecurityPolicy API, initially deprecated in Kubernetes v1.21, was entirely removed in Kubernetes v1.25. Because the API was removed, you cannot create, edit or query PodSecurityPolicy resources in a Kubernetes v1.25 cluster. Also, because its admission controller was removed, your clusters can no longer enforce any PodSecurityPolicy rules that were created in Kubernetes v1.24 and prior.

Many people think cloud migrations are a binary decision: either lift-and-shift or completely modernize applications. However, the reality is that there is a spectrum of transition types available, each offering different levels of value.

When comparing operating systems, it’s clear that Microsoft Windows currently comes out on top. As a matter of fact, “Microsoft Windows was the dominant desktop operating system (OS) worldwide as of January 2023, with a share of just over 74 percent.” Microsoft has many tools and features that are widely-used by the IT community, such as SCCM. This SCCM patch management deployment guide lays out the essential steps to take for deploying updates in the tool.

At Qovery, we are dedicated to providing the best experience possible to our users when it comes to managing their cloud infrastructure. We believe that building features with our customers is essential to our success. That's why we worked closely with our customers to develop our new feature, Audit & Events Tracking.

Artificial intelligence (AI) and machine learning (ML) are two cutting-edge technologies that are revolutionizing the field of website development. AI refers to the ability of computers to perform tasks that typically require human intelligence, such as recognizing speech, understanding natural language, and making decisions based on data. On the other hand, ML is a subset of AI that involves training algorithms to learn from data and make predictions or decisions based on that learning.

Developers and teams who want to deploy new code often and safely leverage feature flags to decouple code deployments from feature releases. Feature flags enable teams to release new features to a subset of users, making it possible to test a new feature’s impact on users and ensuring that developers can easily roll back the feature if it causes downstream issues.