Deployment Automation for DevOps team

When technologies speed up growth relentlessly, when people need functionality before others only think about this, an automated deployment process helps customers and programmers to feel the difference, completely turning the process imagination upside down.

deployment automation process / continuous deployment

First of all, application deployments ensure vast, fully algorithmist software production, which requires you only to push the button. Significantly reducing development time, this highly important function takes care of clients’ costs, proposing a fully unique solution.

Alfee provides an automation platform for deployment automation, involving thrillingly initiative professional teams, ready to build truly complicated projects with high scalability.

What is deployment automation itself?

In simple words, we automate software deployments to quicken a software tenure in the state between framework production and actual release, making all development processes coded beforehand.

With deployment automation you may surely update applications with less effort due to unbelievable code flexibility, minimizing human participation in new versions release, so at the same time no occasional deployment failures occur.

This process has specific inputs, inherent for each single development sequence:

  1. Packages, formed by Continuous Integration algorithm (CI), which must be able for deployment scripts, especially production.
  2. Scripts which set up environment configuration, unwrap the packages and arrange automated deployment tests, also famous as smoke tests.
  3. Information about environment-specific settings might be set up during the process.

It’s quite more convenient to keep configuration with scripts in a version control system. Allocated deployment process must obtain packages from an artifact repository (Nexus, ArtefactRegistry, Artifactory or any other repository constructed specially for such purposes).

As a rule scripts complete such tasks being set up:

  1. Preload an intended operational environment by running and setting up needed applications, or with the means of virtual host empowering using prepared beforehand software on a cloud platform, e.g. Google Cloud.
  2. Deploy packages.
  3. Execute deployment-connected processes, e.g. database transfer scenarios.
  4. Launch required settings.
  5. Execute deployment test to check if required external services are obtainable and that the operating system works normally.

Some words about Complex Application Deployments

Speaking about a highly controlled end-to-end deployment process, we need to understand that really complicated software requires some rules being set up ensuring better interaction through increased control mechanisms, performed in automating and standardizing processes. Alfee forms a thrillingly expert team, providing adherent solutions, which build up a professional deployment automation software.

Small remarks on complex applications deployment:

  • We spend less time deploying your product thanks to bugs eliminating in ample time, performed by thorough programming engineers, which speed up complex deployments significantly.
  • Any kinds of dependencies are streamlined, and wide technologies variety set beyond limits with imminent compatibility reliable deployments.
  • Decreased administrative expenses guaranteed by agentless communications, which allows to distribute deployments directly, without intermediaries.
  • Our dedicated specialists prepare deployment insights, showing you which key points require improvements.
  • Conspicuous cloud transfer speeding up with container technology optimisation.
  • Full self-service deployment assistance by diligent specialists, holding control and governance.
  • Advanced deployment failure modes allow to undo error updates by couple mouse button clicks without third-party scripts.
  • Such complex production deployments are easy-to-use for each stakeholder, whether it’s technical engineer or marketing specialist.

So, summing up this chapter, Alfee indicates that sophisticated software solutions require a special attitude in the working environment, when only responsible and attentive engineers may uphold the job thoroughly, meeting maximum customers’ interests in deadlines marked.

Our freshened technologies automate the software deployment process, making it available, requiring a reasonable price, which conspicuously economies your time. Ground-breaking highly educated teams help your products to quickly reach their top form.

Same with this we promise day & night support service, which joyfully assists in problem solving, whatever technical complicity they are.

Improving a Fully Automated Deployment Process

First of all, you need to make a documented function out of the deployment process, available online for all process participants, such as operators and developers. In this case they will have constant access to all necessary tools, which incrementally improve and speed up a fully automated deployment.

In simple words, sharing information with an instruments panel notably simplifies interaction, connecting people from different locations in a single working environment, which is built easily with cloud technologies via open resources. Engineers always feel happy having a possibility to perform jobs in comfortable conditions, which Alfee provides fully.

While improving future deployments we accomplish the following actions:

  • Code lines are packed in the most convenient way for the deployment process.
  • Virtual machines are activated with pre-prepared operational system images or specially built container.
  • Automating the deployment sequence reported with correct middleware settings being installed.
  • Files or packages are thoroughly copied to the open working environment.
  • Services, applications or servers are restarted as well.
  • Configuration files generated via technically organized templates, made up by diligent programming engineers.
  • Intention to perform a deployment test fully satisfied with further reports evidencing that system is operational.
  • Executing testing sequences with a close approach.
  • Automating and programming transfer algorithms.

Any manual stages should be avoided, independence should be provided along with applications idempotence, and don’t forget to prioritize your infrastructure stability, leveraging platform’s abilities. That’s the only way to automate deployments successfully.

Arranging Deployments Across Environments

With technologies rapidly outbreak a strong need in parallel remote deployment execution engines raised, as platforms might be created on different servers, operating systems, on-premises infrastructures, maybe some globally evolved data centres or any scale clouds, from small private ones to huge worldwide. While scaling deployment workloads, developers may experience some difficulties, trying not to harm performance or slow down software delivery pipelines.

Especially issues become greater with low-bandwidth or high-latency networks, so deployment pipeline is obstructed, becoming eventually more challenging.

But Alfee provides a unique deployment technology, utilizing previous ones with powerful satellites, available across the platforms of any scale possible. We guarantee such technological advantages:

  • High scalability. Our strong developers teams scale your software, not losing in performance and efficiency, as Satellites take all load, freeing your machines from heavy-lift operations.
  • Reduced network traffic. A workload transferred to satellites conspicuously frees network traffic, lowering maintenance expenses extremely.
  • Windows & Unix interconnections. Powerful satellites ensure fast compatibility between different platforms.
  • Fault tolerance and reliability. Our deployment reports show how satellites easily withstand errors. Even losing the network connection, your deployment will not interrupt.
  • Increased security. Alfee has a direct access only to satellites, which also ensure an additional protection layer, defending from hacking attempts.
  • Built-in load balancing. In case some satellite groups experience failure, our supporting DevOps with automation technologies easily replace harmed techniques with the spare one, so your process continues smoothly.
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