webAI and MacStadium(link is external) announced a strategic partnership that will revolutionize the deployment of large-scale artificial intelligence models using Apple's cutting-edge silicon technology.
DevOps discussions typically center around process, culture, and technology. But if you work for a global financial institution or a high-end game developer, you probably wish someone would talk about scale.
In fact, the differences between DevOps and "Big DevOps" are non-trivial. Two scale-related attributes in particular make Big DevOps susceptible to bottlenecks that organizations working at smaller scale are far less likely to encounter:
1. The massive size of the application codebases
2. The need to distribute those massive codebases across multiple globally dispersed dev and test teams
Together, these two attributes can result in some pretty serious process bottlenecks that impede their digital agility and seriously undermine their ability to compete in today's fast-moving markets.
That's why anyone leading a Big DevOps enterprise has to solve their Big DevOps codebase distribution problem.
Unfavorable Code-to-WAN Ratios
The primary cause of Big DevOps code distribution bottlenecks is the network. Enterprise WAN connections are just too narrow to accommodate massive codebases. Even if you spend lots of money on additional bandwidth and network acceleration, the ratio between your bits of code and your bits-per-second of network will invariably result in unacceptably slow transfers. The result is software delivery that keeps getting delayed with every distribution of every large code artifact.
Of course, code distribution bottlenecks aren't the only cause of DevOps delays. Large, complex software projects can fall behind schedule for many reasons. But the code distribution bottleneck adds a chronic impediment that makes it impossible to ever make up lost time. So, as the saying goes, the hurrier you go, the behinder you get.
By itself, the cloud cannot address this Big DevOps bottleneck. Your teams simply can't work on codebases hosted in the cloud. They have to work locally. So the cloud presents two problems. First, all your teams all over the world have to keep downloading and uploading massive files. Second, you have to make sure everything everybody does everywhere stays in synch.
That's why Big DevOps requires an entirely different approach to codebase distribution.
For Global DevOps, Try Global Dedupe
Big DevOps will ultimately require you to adopt a hybrid hub-and-spoke model that lets you maintain a "gold copy"of your codebase in the cloud — while giving everyone everywhere a local copy that gets continuously updated with any changes to the current build. This model eliminates network-related bottlenecks while allowing your geographically dispersed teams to collaborate without tripping over each other's work.
This hybrid cloud hub-and-spoke model has actually been used for year by CAD/CAM teams for years to address a very similar file distribution problem. And it does more than just eliminate process delays. It can also save you considerable sums of money — because you can spend less on your network and your local storage infrastructure.
Time, however, is the real enemy when it comes digital deliverables. So if you're doing Big DevOps, take a hard look at your codebase distribution bottleneck. The future of your company may depend on it.
Barry Phillips is CMO of Panzura.
Industry News
Development work on the Linux kernel — the core software that underpins the open source Linux operating system — has a new infrastructure partner in Akamai. The company's cloud computing service and content delivery network (CDN) will support kernel.org, the main distribution system for Linux kernel source code and the primary coordination vehicle for its global developer network.
Komodor announced a new approach to full-cycle drift management for Kubernetes, with new capabilities to automate the detection, investigation, and remediation of configuration drift—the gradual divergence of Kubernetes clusters from their intended state—helping organizations enforce consistency across large-scale, multi-cluster environments.
Red Hat announced the latest updates to Red Hat AI, its portfolio of products and services designed to help accelerate the development and deployment of AI solutions across the hybrid cloud.
CloudCasa by Catalogic announced the availability of the latest version of its CloudCasa software.
BrowserStack announced the launch of Private Devices, expanding its enterprise portfolio to address the specialized testing needs of organizations with stringent security requirements.
Chainguard announced Chainguard Libraries, a catalog of guarded language libraries for Java built securely from source on SLSA L2 infrastructure.
Cloudelligent attained Amazon Web Services (AWS) DevOps Competency status.
Platform9 formally launched the Platform9 Partner Program.
Cosmonic announced the launch of Cosmonic Control, a control plane for managing distributed applications across any cloud, any Kubernetes, any edge, or on premise and self-hosted deployment.
Oracle announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle Database@Azure(link sends e-mail).
Perforce Software announced its acquisition of Snowtrack.
Mirantis and Gcore announced an agreement to facilitate the deployment of artificial intelligence (AI) workloads.
Amplitude announced the rollout of Session Replay Everywhere.
Oracle announced the availability of Java 24, the latest version of the programming language and development platform. Java 24 (Oracle JDK 24) delivers thousands of improvements to help developers maximize productivity and drive innovation. In addition, enhancements to the platform's performance, stability, and security help organizations accelerate their business growth ...