CI/CD & DevOps Services
Transform your software delivery with robust CI/CD pipelines, infrastructure as code, and DevOps best practices. Deploy with confidence—faster, more frequently, and with fewer failures.
CI/CD Pipeline
Automated Delivery
Pipeline Status
The DevOps Challenge
Every hour spent on deployment coordination is an hour not spent on features. Manual processes introduce risk, slow down delivery, and burn out your team. Modern software demands modern delivery.
Manual deployments take hours or days. Teams spend more time coordinating releases than building features.
Deployments break production because there's no consistent testing. Rollbacks are painful and manual.
Manual processes make it hard to enforce security policies consistently. Compliance audits are painful.
"Works on my machine" syndrome. Dev, staging, and production environments drift apart over time.
Push code and go home. Automated pipelines handle building, testing, and deploying—reliably, every time.
Your infrastructure defined in Git. Version controlled, reviewed, and reproducible. No more snowflake servers.
Security scanning, secrets management, and compliance checks automated into every deployment. Shift left on security.
Know when something's wrong before users do. Automated rollbacks when deployments fail. Mean time to recovery in minutes.
Our Services
From pipeline setup to full platform engineering, we offer comprehensive DevOps services tailored to your infrastructure needs and team maturity.
Design and implement automated pipelines that build, test, and deploy your code with every commit. From simple single-repo setups to complex monorepo architectures with hundreds of services.
Define your entire infrastructure in code—version controlled, reviewed, and reproducible. Terraform, Pulumi, or CloudFormation to manage cloud resources with the same rigor as application code.
Package applications into containers and orchestrate them at scale with Kubernetes. From Docker basics to production-ready K8s clusters with service mesh, autoscaling, and GitOps workflows.
Architect and optimize your cloud infrastructure on AWS, Azure, or GCP. Right-size resources, implement cost controls, and design for high availability and disaster recovery.
Gain deep visibility into your systems with comprehensive monitoring, logging, and tracing. Know when something's wrong before users do, and diagnose issues in minutes instead of hours.
Integrate security into every stage of your pipeline. Automated vulnerability scanning, secrets management, compliance checks, and audit trails—security as code, not an afterthought.
Not sure where to start with DevOps? Let's assess your current state.
Schedule a DevOps AssessmentOur Process
Our DevOps implementation follows a structured approach that balances quick wins with strategic improvements. We meet you where you are and build toward your goals incrementally.
We start by understanding your current state—existing infrastructure, deployment processes, pain points, and goals. We audit your systems and identify quick wins alongside strategic improvements.
Key Activities
Deliverables
DevOps maturity assessment, prioritized roadmap, quick wins identification
We design the target state architecture—pipeline structure, infrastructure topology, security controls, and observability stack. Everything is documented and reviewed before implementation.
Key Activities
Deliverables
Architecture documentation, implementation plan, tool recommendations
We build the core infrastructure: CI/CD pipelines, IaC foundations, container orchestration, and monitoring basics. This establishes the platform that everything else builds upon.
Key Activities
Deliverables
Working CI/CD pipeline, IaC foundations, initial monitoring
We migrate applications and services to the new platform progressively. Starting with lower-risk services, we validate the approach before rolling out to critical systems.
Key Activities
Deliverables
Migrated applications, validated pipelines, operational documentation
We implement comprehensive observability—metrics, logs, traces, and dashboards. Alert thresholds are tuned, runbooks created, and incident response procedures established.
Key Activities
Deliverables
Complete observability stack, dashboards, runbooks, on-call procedures
We don't just build and leave. We train your team, create documentation, and provide ongoing support. The goal is your team operating confidently—with Salt available when you need us.
Key Activities
Deliverables
Trained team, complete documentation, support SLA
Our DevOps implementations follow the SPARK™ framework—bringing structure, predictability, and clear communication to every engagement.
Technology Stack
We're tool-agnostic and choose the right tools for your context. Here's our expertise across the DevOps toolchain.
Pipeline automation and continuous delivery tools
Declarative infrastructure management
Container runtime and orchestration platforms
Public cloud infrastructure providers
Metrics, logging, and distributed tracing
Security scanning and secrets management
Already have a toolchain? We integrate with your existing tools and workflows. We're here to improve your processes, not replace everything.
Why DevOps
DevOps isn't just about tools—it's about outcomes. Here's what you can expect from implementing modern CI/CD and DevOps practices.
Go from weekly or monthly releases to multiple deploys per day. Automated pipelines eliminate manual steps and waiting.
10x
Deployment frequency
Automated testing, staged rollouts, and instant rollbacks mean deployments rarely fail—and when they do, recovery is fast.
99.9%
Success rate
Mean time to recovery drops from hours to minutes. Observability catches issues early, and automated rollbacks restore service fast.
< 15 min
Recovery time
Engineers spend time building features, not fighting deployments. Automation handles the boring, error-prone work.
20+ hrs
Saved per dev/month
Infrastructure as code means every environment is identical. No more 'works on my machine' or staging drift.
100%
Environment parity
Blue-green, canary, and rolling deployments keep your services available during releases. Users never see downtime.
0
Downtime minutes
Vulnerability scanning, secrets management, and compliance checks run automatically on every change. Security is built in.
100%
Changes scanned
Right-sized infrastructure, automated scaling, and resource management reduce cloud spend while maintaining performance.
30%
Cost reduction avg
Use Cases
DevOps needs vary by organization size, maturity, and goals. Here's how we help companies at different stages of their DevOps journey.
From Zero to Production-Ready Pipelines
You're building fast but deployments are manual and error-prone. We help startups set up proper CI/CD from the start—so you can ship features, not fight deployments.
Common Scenarios
Modernizing Complex Organizations
Large organizations face unique challenges—legacy systems, compliance requirements, multiple teams, and complex approval processes. We help enterprises adopt DevOps without disrupting operations.
Common Scenarios
From Data Center to Cloud-Native
Moving to the cloud is more than lifting and shifting VMs. We help teams adopt cloud-native practices—containerization, IaC, managed services—while building the DevOps foundation for the new environment.
Common Scenarios
Internal Developer Platforms That Scale
As organizations grow, they need internal platforms that enable developer self-service while maintaining guardrails. We help build internal developer platforms that increase velocity across all teams.
Common Scenarios
Engagement Models
Whether you need a quick assessment, a pilot project, or a long-term partnership — we have an engagement model that fits your needs.
We analyze your codebase, processes, and team dynamics to identify bottlenecks and opportunities. You get a clear roadmap — no commitment required.
Ideal for: Teams wanting an objective assessment before committing
Learn moreStart with a focused pilot project. A small Pod works alongside your team on a real deliverable, so you can evaluate fit and capabilities with minimal risk.
Ideal for: Teams wanting to test the waters before scaling
Learn moreDedicated cross-functional teams that integrate with your organization. Full accountability for delivery with built-in QA, architecture reviews, and the SPARK™ framework.
Ideal for: Teams ready to scale with a trusted partner
Learn moreNeed specific skills? Augment your team with vetted engineers who work under your direction. React, Node, Python, AI engineers, and more.
Ideal for: Teams with clear requirements and strong internal leadership
Learn moreLet's talk about your goals, team structure, and timeline. We'll recommend the best way to start — with no pressure to commit.
Schedule a Free ConsultationCI/CD stands for Continuous Integration and Continuous Delivery (or Continuous Deployment). These practices form the backbone of modern software delivery, enabling teams to ship code changes frequently, reliably, and with minimal manual intervention.
Continuous Integration (CI) is the practice of frequently merging code changes into a shared repository, where automated builds and tests run to verify each change. The goal is to detect integration problems early—when they're cheap to fix—rather than discovering them during a painful merge at the end of a sprint.
Continuous Delivery (CD) extends CI by automatically preparing code for release to production. Every change that passes automated tests is deployable, though a human may make the final decision to deploy. Continuous Deployment goes further by automatically deploying every change that passes all tests directly to production.
The business value of CI/CD is significant. Teams practicing CI/CD deploy more frequently (multiple times per day instead of weekly or monthly), have lower failure rates (because changes are smaller and easier to diagnose), and recover faster when failures occur (because rollbacks are automated).
At Salt, CI/CD implementation is a core part of our engineering services. We help teams establish pipelines that make deployment boring—in the best way possible.
DevOps is more than tools—it's a cultural shift that breaks down silos between development and operations teams. The goal is shared ownership of the entire software lifecycle, from writing code to running it in production.
Automation: Everything that can be automated should be. Manual processes are slow, error-prone, and don't scale. From code testing to infrastructure provisioning to incident response, automation is the foundation of DevOps.
Measurement: You can't improve what you don't measure. DevOps teams track metrics like deployment frequency, lead time for changes, change failure rate, and mean time to recovery. These metrics guide improvement efforts.
Sharing: Knowledge sharing breaks down silos. Developers understand operations concerns; operations teams understand application requirements. Shared runbooks, post-incident reviews, and cross-functional collaboration are essential.
Continuous Improvement: DevOps is a journey, not a destination. Retrospectives identify improvement opportunities. Experiments test new approaches. The goal is always to be a little better than yesterday.
Traditional operations models separate development ("throw code over the wall") from operations ("keep the lights on"). This creates friction, slow feedback loops, and finger-pointing when things go wrong.
DevOps merges these responsibilities. Developers are responsible for how their code runs in production. Operations expertise is embedded in development teams. The result is faster delivery, fewer outages, and happier teams.
A well-designed CI/CD pipeline automates the journey from code commit to production deployment. Here's what a modern pipeline typically includes:
The pipeline starts when a developer pushes code. The build stage compiles code, resolves dependencies, and creates artifacts (container images, packages, etc.). Build reproducibility is critical—the same commit should always produce the same artifact.
Automated tests run against the built artifact. This typically includes unit tests (fast, isolated), integration tests (testing component interactions), and sometimes end-to-end tests (testing complete user journeys). The test stage is your safety net—it catches bugs before they reach production.
Modern pipelines include security as a first-class concern. Static analysis scans code for vulnerabilities. Dependency scanning checks for known CVEs in libraries. Container scanning examines images for vulnerabilities. Failed security checks can block deployment.
Successful builds publish artifacts to a registry—container images to Docker Hub or ECR, packages to npm or PyPI, binaries to artifact storage. Artifacts are versioned and immutable—you never modify a published artifact.
The deployment stage promotes artifacts through environments—typically dev, staging, and production. Each environment may have different deployment strategies: automatic deployment to dev, manual approval for production, canary deployment for gradual rollouts.
Deployment isn't complete until the application is verified healthy. Smoke tests validate critical functionality. Health checks confirm services are responding. Automated rollback triggers if validation fails.
Infrastructure as Code (IaC) means managing infrastructure—servers, networks, databases—through code files rather than manual processes. This brings the practices of software development (version control, code review, testing) to infrastructure management.
Reproducibility: Every environment is created from the same code, eliminating "snowflake" servers with unknown configurations. Recreating an environment from scratch becomes trivial.
Version Control: Infrastructure changes go through git—tracked, reviewed, and reversible. You can see who changed what, when, and why. Rolling back a bad change is a git revert.
Documentation: The code itself documents your infrastructure. No more outdated wiki pages or tribal knowledge. The source of truth is in git.
Testing: Infrastructure changes can be tested before applying to production. Terraform plan shows what will change. Policy-as-code tools like OPA enforce compliance rules.
Terraform is the most widely adopted IaC tool, supporting all major cloud providers with a declarative HCL syntax. Its large community means extensive module libraries and documentation.
Pulumi allows writing infrastructure in general-purpose languages (TypeScript, Python, Go), appealing to teams who prefer familiar programming languages over domain-specific syntax.
CloudFormation is AWS's native IaC service. For AWS-only shops, it offers tight integration and features like drift detection out of the box.
Containers package applications with their dependencies into portable units that run consistently across environments. Kubernetes orchestrates containers at scale, handling deployment, scaling, and operations.
Containers solve the "works on my machine" problem. A containerized application runs the same way in development, testing, and production. Containers are lightweight, start quickly, and enable efficient resource utilization through high-density deployment.
Kubernetes (K8s) is the de facto standard for container orchestration. It automates deployment, scaling, and management of containerized applications. Key capabilities include:
Declarative Configuration: You define the desired state (10 replicas of this service), and Kubernetes makes it happen, handling failures and scaling automatically.
Self-Healing: Kubernetes automatically restarts failed containers, replaces unhealthy nodes, and reschedules workloads when resources change.
Service Discovery & Load Balancing: Kubernetes provides built-in DNS and load balancing, making it easy for services to find and communicate with each other.
GitOps extends IaC principles to Kubernetes. Tools like ArgoCD or Flux continuously sync cluster state with git repositories. Changes to the cluster are made by committing to git, not by running kubectl commands. This provides audit trails, easy rollbacks, and consistent deployments.
Observability is the ability to understand a system's internal state from its external outputs. In distributed systems, observability is essential for diagnosing issues, understanding performance, and ensuring reliability.
Metrics: Numeric measurements over time—CPU usage, request latency, error rates. Metrics are great for alerting and dashboards. Tools like Prometheus, Datadog, and CloudWatch collect and visualize metrics.
Logs: Timestamped records of discrete events. Logs provide detail for debugging specific issues. Centralized logging (ELK stack, Loki, CloudWatch Logs) aggregates logs from all services for searching and analysis.
Traces: Records of requests as they flow through distributed systems. Traces help understand latency, identify bottlenecks, and debug failures that span multiple services. Tools like Jaeger, Zipkin, and Datadog APM provide distributed tracing.
Alerts should be actionable. Every alert should require human action—if it doesn't, it's noise that leads to alert fatigue. We help teams design alerting strategies that catch real problems without overwhelming on-call engineers with false positives.
DevSecOps integrates security into every stage of the software delivery lifecycle. Rather than security being a gate at the end, security checks are automated into pipelines and security concerns are addressed from the start.
"Shift left" means addressing security earlier in the development process. Security issues found in production are expensive to fix. Issues found in code review are cheap. We implement security scanning in CI pipelines so vulnerabilities are caught before they reach production.
SAST (Static Application Security Testing): Analyzes source code for security vulnerabilities without running the application.
DAST (Dynamic Application Security Testing): Tests running applications for vulnerabilities by simulating attacks.
SCA (Software Composition Analysis): Scans dependencies for known vulnerabilities (CVEs) and license compliance issues.
Container Scanning: Analyzes container images for vulnerabilities in the base image and installed packages.
Secrets (API keys, passwords, certificates) should never be stored in code or config files. We implement proper secrets management using tools like HashiCorp Vault, AWS Secrets Manager, or cloud-native solutions. Secrets are injected at runtime, rotated regularly, and access is audited.
Salt brings a differentiated approach to DevOps services. Here's what sets us apart:
Practical, Not Theoretical: We've built and operated production systems, not just read about DevOps. Our recommendations come from real-world experience implementing CI/CD for companies of all sizes.
Tool-Agnostic Approach: We don't push a particular tool or vendor. We assess your context—team skills, existing infrastructure, specific needs—and recommend the right tools for your situation.
Incremental Improvement: We don't believe in big-bang transformations. We start with quick wins that deliver value fast, then build toward larger improvements. This reduces risk and builds momentum.
Knowledge Transfer: We don't create dependencies on Salt. Our goal is your team operating the systems we build confidently and independently. Training and documentation are built into every engagement.
Integration with Product Engineering: DevOps doesn't exist in isolation. Our DevOps work integrates seamlessly with our product engineering services. The teams that build your application understand how it will be deployed and operated.
SPARK™ Delivery Framework: Our SPARK™ framework brings structure to DevOps implementations. Clear phases, quality gates, and success metrics ensure predictable delivery.
Ready to accelerate your software delivery? Schedule a DevOps assessment to discuss your current challenges and how Salt can help you ship faster with confidence.
Industries
We've built software for companies across industries. Our teams understand your domain's unique challenges, compliance requirements, and success metrics.
HIPAA-compliant digital health solutions. Patient portals, telehealth platforms, and healthcare data systems built right.
Scale your product fast without compromising on code quality. We help SaaS companies ship features quickly and build for growth.
Build secure, compliant financial software. From payment systems to trading platforms, we understand fintech complexity.
Platforms that convert and scale. Custom storefronts, inventory systems, and omnichannel experiences that drive revenue.
Optimize operations end-to-end. Route optimization, warehouse management, and real-time tracking systems.
Hire dedicated developers to extend your team
Whether you need to build a new product, modernize a legacy system, or add AI capabilities, our managed pods are ready to ship value from day one.
100+
Engineering Experts
800+
Projects Delivered
14+
Years in Business
4.9★
Clutch Rating
FAQs
Common questions about our CI/CD and DevOps services, implementation approach, and how we help teams deliver software faster.
CI/CD stands for Continuous Integration and Continuous Delivery (or Deployment). Continuous Integration means automatically building and testing code every time a developer pushes changes. Continuous Delivery means automatically preparing releases for deployment, while Continuous Deployment goes further by automatically deploying to production. Your team needs CI/CD because manual deployments are slow, error-prone, and don't scale. With CI/CD, you can deploy multiple times per day with confidence instead of dreading weekly or monthly releases.
A basic CI/CD pipeline for a single application can be implemented in 1-2 weeks. A more comprehensive setup with multiple environments, security scanning, and advanced deployment strategies typically takes 4-6 weeks. Enterprise-wide DevOps transformation with platform engineering, multiple teams, and complex governance can take 3-6 months. We start with quick wins to demonstrate value early while building toward the full vision.
Not necessarily. Jenkins is a powerful tool and if it's working well for you, we can optimize and improve your existing setup. However, many organizations find that modern alternatives like GitHub Actions or GitLab CI offer better developer experience, easier maintenance, and native integration with their source control. We'll assess your current setup and make recommendations based on your specific needs, not push a particular tool.
CI/CD is a specific set of practices for automating software build, test, and deployment. DevOps is a broader cultural and technical movement that includes CI/CD but also encompasses infrastructure as code, monitoring and observability, incident management, and organizational practices. Think of CI/CD as a key component of DevOps, but DevOps includes everything needed to deliver and operate software reliably.
It depends on your context. For teams using GitHub, GitHub Actions is often the best choice due to its native integration. GitLab CI is excellent for GitLab users. For complex enterprise environments, tools like Jenkins, ArgoCD, or Tekton might be more appropriate. For Kubernetes-native workflows, we often recommend GitOps tools like ArgoCD or Flux. We're tool-agnostic and choose based on your specific needs, existing infrastructure, and team skills.
Secrets should never be stored in code or CI/CD configuration. We implement proper secrets management using tools like HashiCorp Vault, AWS Secrets Manager, or cloud-native equivalents. Secrets are injected at runtime, rotated regularly, and access is audited. We also implement least-privilege access so pipelines only have access to the secrets they need.
Absolutely. Containerization and Kubernetes are core to modern DevOps. We help teams containerize applications, set up Kubernetes clusters (managed or self-hosted), implement Helm charts or Kustomize for configuration management, and set up GitOps workflows for declarative cluster management. We also help with service mesh implementation, autoscaling, and multi-cluster strategies.
Security should be integrated throughout your pipeline, not bolted on at the end. We implement SAST (static application security testing) to scan code, SCA (software composition analysis) to check dependencies for vulnerabilities, container image scanning, and DAST (dynamic application security testing) for running applications. Failed security checks block deployment, but we tune thresholds to avoid alert fatigue.
Zero-downtime deployments are achieved through strategies like blue-green deployments (running two environments and switching traffic), canary deployments (gradually rolling out to a percentage of users), or rolling updates (incrementally replacing instances). The right strategy depends on your application architecture and risk tolerance. We also implement automated rollbacks when health checks fail.
Infrastructure as Code (IaC) means defining your infrastructure—servers, networks, databases—in code files that are version controlled, reviewed, and automatically applied. Instead of clicking through cloud consoles, you define infrastructure declaratively and let tools like Terraform or Pulumi create it. Benefits include reproducibility (every environment is identical), auditability (all changes are in git), and disaster recovery (rebuild infrastructure from code).
We implement the three pillars of observability: metrics (Prometheus/Datadog for system and application metrics), logs (centralized logging with Loki or cloud-native solutions), and traces (distributed tracing with Jaeger or Datadog APM). We build dashboards that show service health at a glance, implement alerting that pages on-call engineers for real issues (not noise), and create runbooks for common incident scenarios.
Most engagements start with an assessment (1-2 weeks) to understand your current state and goals. We then prioritize improvements and implement them iteratively, typically in 2-week sprints. Early sprints focus on quick wins—automating painful manual processes—while later sprints tackle larger infrastructure changes. We include knowledge transfer throughout so your team can maintain and evolve the systems we build.