Want to speed up your time-to-market?

Hey there, it’s Daniel! 

Did you know that the number of EVM smart contracts created across Ethereum Mainnet, Arbitrum, Optimism, and Polygon surged 303% YoY in 2023? Impressive, right? 

But it begs the question: how do you keep up with this pace without breaking things or blowing your budget? Many in the industry ask me about this, so I shed some light on our approach at Dysnix.

5 Web3 DevOps must-haves to launch your project faster 

Web3 development is the backbone of blockchain projects, but it’s also the most time-consuming aspect, accounting for up to 75% of the total time spent bringing a blockchain product to market. To cut down this timeline without compromising on quality, DevOps practices provide a technical shortcut.

Continuous integration/continuous deployment (CI/CD)

CI/CD pipelines integrate tools like Jenkins and GitHub Actions to automate testing, building, and deploying code updates. This setup reduces manual errors and allows for rapid iteration, cutting deployment time by up to 50%. Frameworks such as Truffle facilitate early detection of issues, saving time and resources in later stages.

Infrastructure as code (IaC)

Managing IaC with tools like Terraform and Ansible streamlines environment deployment and scaling. By treating infrastructure configurations as code, teams can quickly replicate environments, ensuring consistency across development, staging, and production phases. This tool saves setup time and reduces configuration errors by up to 60%.

Containerization and orchestration

Docker and Kubernetes are the backbone of efficient Web3 deployment. Docker packages applications into lightweight containers, while Kubernetes handles their orchestration, enabling rapid scaling. This approach minimizes latency, reduces the response time, and speeds up recovery, ensuring seamless scaling during traffic spikes.

Automated security checks

Security needs to be proactive, not reactive. Integrating tools like Mythril and SmartCheck within CI/CD pipelines automates smart contract audits and code scanning, catching vulnerabilities early.

Proactive monitoring

Monitoring solutions such as Prometheus and Grafana provide real-time insights into blockchain performance metrics like latency, node health, and transaction rates. Continuous monitoring ensures that any irregularities are addressed before they impact end users, minimizing downtime and optimizing resource allocation.

Discover more on monitoring in blockchain in our blog

And if you know all above, get a +1 secret from Dysnix

This one won’t help you to deploy your project faster, but during the workloads testing phase, it might be a game changer for you. PredictKube, an AI-driven autoscaling engine, proactively manages traffic surges, optimizing resources in real-time making the project even more competitive and ready for market conditions.

Solving the latency problem for the project. Simple as that!

Case study: How we reached 5x time-to-market speedup

One example of reducing time-to-market is a real case at Dysnix, where we optimized the infrastructure for five interconnected healthcare and fitness projects for Scalors company. 

The challenge was to reduce the deployment timeline by five times while increasing fault tolerance and maintaining security. 

To achieve this, we implemented a fully automated CI/CD system and utilized Infrastructure as Code (IaC) with Terraform and Terragrunt, building a scalable Kubernetes-based infrastructure on Digital Ocean. For monitoring and stability, we employed solutions such as Prometheus, Grafana, and AlertManager for custom business metrics, and Velero for continuous data backup.

Thus, we cut cloud costs by 20-30%, fastened project releases by five times, and achieved efficient scaling across all environments​.

Cut time, boost efficiency, get a better place under the market sun

These Web3 DevOps practices accelerate deployments, minimize errors, and optimize costs. Take, for instance, the delays faced by Ethereum 2.0 and Polkadot during their launches. Both projects encountered significant setbacks due to the complexities of scaling and infrastructure management.

If these solutions had been applied universally, who knows how the blockchain landscape might look today? Let’s discuss this in more detail—my team and I are always happy to chat!

Best regards,
Daniel Yavorovych