It is impossible to overestimate the importance of a strong development environment when scaling your team’s capacity. Nowadays, most organizations use Git, and one of the popular and successful development models used by many organizations is Gitflow. When making use of such models, continuous integration (CI) is key as it enables faster project delivery and offers reduced risk and expenses thanks to self-managed and easy-to-control dedicated teams.
CI and CD tools are popular for a good reason. They help us automate the application lifecycle, fully or partially. However, the problem is that, in some cases, we are moving away from the core principles behind the CI and CD processes. Products on the market tend to “bend” the definitions of what CI and CD are so that their products can get “yet another sticker”. This is an attempt to bring sanity into the insane situation in which everything and nothing are CI and CD.
Continuous integration and continuous delivery (CI/CD) pipelines have become fundamental to modern software development and code deployment. Implementing CI/CD practices can let teams deploy code more quickly and efficiently. But with these methods come a number of new challenges: bad code deploys are a major source of downtime and can lead to a loss of revenue and customer trust.
Continuous Integration (CI) and Continuous Delivery (CD) form the backbone of the product delivery lifecycle. A well tuned, fault tolerant and scalable CI/CD pipeline is very important to support modern Agile teams. Despite obvious business advantages, a rapid release approach combined with continuous change processes resulting from DevOps principles will in the long run generate new challenges. The entire process needs to be carefully examined and controlled.
In environments with large numbers of client machines, configuration management tools are often used to simplify and standardize the target state of each host in a seamless, automated and consistent manner. Software like CFEngine, Chef, Ansible, and others offer a high degree of granular control over software packaging and system configurations.
Deploying a stack into AWS is at the core of what Stackery helps you do. So much so that Stackery users deployed over 10,000 times last month! For the most part, this has been a manually executed process in our Web UI or command-line client. As teams grow and take on more work, fast and consistent deployments are key to scaling effectively. That’s why we’ve been working this year on continuous integration and deployment (CI/CD) features, tailor-built for serverless applications.
Now you can go beyond measuring your bandwidth usage and regain control via Cloudsmith's new bandwidth controls for Entitlement tokens. You can craft tokens with individual usage limits using the UI, API, and CLI, allowing you to decide the exact level of usage for each token. Combining the new and existing limits for entitlement tokens, allowances are configurable to provide fine-grained control for any combination of properties.
Earlier this year, we shared the certified Ansible Collection for Sensu Go, which makes it easy to automate your monitoring and achieve real-time visibility into auto-scaling infrastructure. Now that Sensu Go 6 has been released, we’ll share the latest updates on the Collection, including the management aspects of Sensu Go 6, with a focus on the structure of Ansible playbooks in the Sensu Go 6 world.
With the emergence of “Shift Left” as common practice for development, we’re seeing many opportunities to reduce costs around our development practices, but what about security? Prisma Cloud is supporting “Shift Left” by making their scanning capabilities available to Developers and CI Tooling to run scans against microservice projects. As a bonus, the Prisma Cloud product suite scanning capabilities fit perfectly within Codefresh.
