Operations | Monitoring | ITSM | DevOps | Cloud

Service meshes like Istio have become an essential way to securely and reliably distribute network traffic, especially with ephemeral, service-based architectures such as Kubernetes. However, their constantly shifting nature can interfere with targeting specific services for resilience tests. Infrastructure-based testing is designed to target specific IP addresses, allowing precision testing of applications, VMs, and nodes.

2024 is coming to a close, and while many teams are slowing down in preparation for the holidays, we’ve been cooking up tons of new features. We’ve extended our platform support to the Istio service mesh, added a brand new experiment type for testing artificial intelligence (AI) and large language model (LLM) workloads, and made it easier to onboard Kubernetes clusters. We’ve also made our Linux and Windows agents more robust and performant.

Bitbucket Pipelines is excited to announce support for CI/CD third-party secrets – a powerful new feature that enables you to seamlessly retrieve secrets directly from your preferred secret store. This enhancement ensures your workflows remain efficient and secure. Now, you can set up your own integration and customize the utilization of your secrets to suit your needs.

We’ve all been there: working a feature that spans multiple Git repositories, doing your best to coordinate pull requests and save the reviewers from “review-hell” as they try to piece together how everything fits across the repositories… When a change impacts more than one microservice, the coordination can become a mess of disconnected PRs spanning many repos, each dependent on the other to avoid breaking something critical.

As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But the integration of machine learning (ML) into the real world proved challenging, and the vast gap between development and deployment was made clear. In fact, research from Gartner tells us 85% of AI and ML fail to reach production.

Learn the key differences between MongoDB and Elasticsearch, and understand when to use each for your database and search needs.

Learn how to keep your APIs running smoothly! From tracking performance to boosting reliability, this guide has everything developers need.

Choosing the right container engine for your infrastructure stack is a critical architectural decision. While both Podman and Docker implement OCI (Open Container Initiative) standards, their fundamental approaches to container management and runtime architecture create distinct operational characteristics.

Many of my customers are using Flyway Enterprise to create migration scripts that will then be used to deploy database changes. They’ve been using Flyway Desktop, but some of them have expressed interest in using command line instead of the desktop.

This is a guest post from Mri Pandit. Information is the cornerstone of business operations, and data is now the most critical asset for any organization. But as reliance on data grows, so do the risks associated with breaches, fraud, and non-compliance. For most organizations, particularly in highly regulated sectors like finance, security and compliance are no longer optional – they’re essential for survival.