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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Fargate Simplicity vs. Kubernetes Power: Where Does Your Scaling Company Land?

Is Fargate too simple or Kubernetes too complex for your scale-up? Compare AWS Fargate vs. EKS on cost, control, and complexity. Then, see how Qovery automates Kubernetes, giving you its power without the operational headache or steep learning curve.

The Rule Of 40: How To Calculate And Use It For SaaS

Many SaaS businesses prioritize customer acquisition and retention over increasing gross margins, particularly during the startup and scale-up stages. It makes sense. A company can accelerate its revenue growth by acquiring and retaining more new customers, rather than simply selling more to existing ones. Yet, here’s the thing. Revenue growth measures the increase in the amount of money a business earns from sales.

Switching from Jenkins to Bitbucket Pipelines | Bitbucket | Atlassian

This webinar presents the case of a customer who migrated from Bitbucket Data Center and Jenkins to Bitbucket Cloud and Bitbucket Pipelines. The customer migrated approximately 90 repositories and significantly reduced their operating costs. The webinar also briefly introduces the Atlassian migration tool for Jenkins that can convert Jenkinsfiles to bitbucket-pipelines.yml files.

Observability vs. Visibility: What's the Difference?

In modern IT systems—distributed services, cloud-native platforms, and dynamic networks—just knowing that something is “up” isn’t enough. Green checkmarks on dashboards don’t tell you why performance shifted, why latency crept in, or why a perfectly healthy-looking service suddenly failed. This is where the conversation around visibility and observability begins. They sound similar, but they solve very different problems.

Data Integrity in a Database: How to Ensure Accuracy and Security

Data integrity in a database is the backbone of accurate decision-making, regulatory compliance, and organizational security. Without it, even the most advanced analytics or AI models are built on shaky ground. Imagine going through your database and noticing that the numbers in your sales report are inconsistent, financial data tells three different stories, and some customer records are missing. This mismatch can compromise business decisions and lead to missed opportunities.

7 ways AI agents are transforming software delivery

For most teams, the slowest part of delivery isn’t writing code, it’s everything that happens after: automated tests, manual reviews, bug fixes, final approvals, and the long wait for deployment. The longer these phases run, the more expensive and painful late fixes become. As AI makes it easier to generate code at scale, those bottlenecks only get bigger.

3 things you can do to get closer to five nines

5 minutes. That’s how much downtime some of the world’s largest enterprises will tolerate. For most organizations, five nines (99.999%) of availability sounds like a pipedream. But the trick to increasing availability isn’t massive infrastructure spending or complex system redesigns. All it takes are three key practices that any team can adopt and implement. In this post, we’ll present these practices and how we implement them at Gremlin.

Frog-Proof Security: Streamlining The Sec In DevSecOps

What’s in store for Software Supply Chain security in 2026? With the types of software entering organizations ever-changing, and the volume ever-increasing, DevSecOps teams are facing new, and complex questions at macro and micro levels: How can teams effectively control and curate what enters systems? How can remediation be accelerated, while ensuring accuracy? How will the rising use of AI impact our threat landscape and can DevOps and Security teams truly share ownership of this emerging reality without adding friction?