Operations | Monitoring | ITSM | DevOps | Cloud

The 2024 State of the Database Landscape survey showed that 79% of businesses are now using two or more database platforms (vs 62% in 2020). Businesses revealed that this growth was largely due to the differing use cases across each platform, as well as the need to increase flexibility. Despite these recognized benefits, increasing the diversity of your database platforms can bring its own set of challenges, including skillset requirements, data integration complexities, security, and monitoring.

No, I'm not talking about 'OpenAI', though you certainly can use it to assist in your API designs. I'm talking about the OpenAPI standard, a modern spec for defining REST APIs. If you're reading this, I probably don't need to tell you that REST APIs are ubiquitous in tech. Practically every company has at least one, whether it be an internal or customer facing API. While other types of APIs have been gaining traction the last few years (GraphQL, gRPC, etc), REST is here to stay.

The Uptime Institute’s 2022 Global Data Center Survey highlights a growing challenge for operators: attracting and retaining qualified staff. With 53% struggling to find skilled employees and 42% losing staff to competitors—a sharp rise from 17% in 2018—there’s a clear need for solutions. DCIM software emerges as a key response, offering a holistic view of data center operations. This includes monitoring power usage, cooling systems, server space, and network operations.

As Kubernetes adoption continues to surge across various industries, the need for robust monitoring solutions is more critical than ever. Effective Kubernetes monitoring not only ensures the health and performance of your containerized applications but also provides valuable insights for troubleshooting and optimizing your infrastructure. However, Kubernetes's distributed and dynamic nature presents unique challenges regarding monitoring and observability.

If you deploy container-based services in Kubernetes, chances are you’re also using infrastructure-as-code to help automate the provisioning and maintenance of the cloud environments where your applications will run. Up until recently, Terraform was “the name” in infrastructure-as-code.

Kubernetes troubleshooting is a critical skill for developers and system administrators managing containerized applications. It involves diagnosing and resolving issues within a Kubernetes cluster, ensuring that applications run smoothly and efficiently. Troubleshooting can range from simple configuration errors to complex networking issues, requiring a deep understanding of Kubernetes architecture and components.

Bitbucket cloud is on a mission to become the world’s most extensible cloud SCM and CI/CD product, and we're thrilled to be able to share the next stage of that journey. Upcoming Webinar: Join us for a live-webinar on May 8th/9th, 2024 for a deep-dive into building your own Dynamic Pipelines. Today, we're announcing the release of a new capability in Bitbucket Cloud called Dynamic Pipelines.