DevOps Engineering

DevOps Services and Solutions

Utilise DevOps concepts & services such as agility, automation, continuity, and governance to save time and money. For help implementing DevOps Engineering’s best practises, such as cloud integration, CI/CD, GitOps, containerisation, DevSecOps, AI/ML, and AI Ops, as well as a variety of other services, contact us for a consultation. Engage DevOps Engineering, a provider of recognised DevOps solutions, to automate and organise SDLC activities including development, security, testing, and deployment.

DevOps Services and Solutions

Your site should run smoothly with minimal downtime. Partner with DevOps Engineering, a provider of DevOps services, to put your Site Reliability Engineering (SRE) strategy into practise:

  • Service-level objectives (SLO) for business objectives
  • Service-level indicator (SLI) for success identifiers
  • Service-level agreement (SLA) for demonstrating dedication to success

DevOps Maturity Model

DevOps Engineering envisage the maturity model for the DevOps strategy as follows. It was created to assist businesses in comparing their present and ideal DevOps states.
DevOps Maturity Model
Companies can assess their state in the DevOps operational model journey, and after evaluating their present status they can decide their desired state.
Manual (No automation)

Key points:

  • Developers must be involved actively and thoroughly in every deployment
  • Production instance access credentials are not securely handled
  • Deployment process is manual, indeterminate, not repeatable, and fails frequently
  • No health checks, only reactive troubleshooting
  • Ineffective communication between the Dev and Ops teams
Initial (Defined process, emerging automation)

Key milestones:

  • On developer workstations, the deployment procedure has been defined and is repeatable
  • Workflows for deployment are automated
  • Increased deployment speed
  • Manual health checks using APIs, tools, and redesigned processes
  • Log consolidation


Obstacles and challenges:

  • Process of deployment is still insecure
  • Custom dependencies are present in deployment scripts


Problems that still exist:

  • A slower deployment
  • Specific abilities and expertise are needed for deployment
  • Logs are challenging to acquire and analyse
Mature (Comprehensive automation)

Key milestones:

  • Build, packaging, and deployment are all automated processes
  • Every developer in the team can run deployment
  • Integrating health check scripts with CI (still triggered manually)
  • Logs that are uniformly kept and are monitored


Obstacles and challenges:

  • No deployment tracking
  • Deployment process enabled by multiple tools with no UI


Problems that still exist:

  • Manual rollbacks only
  • Scaling is semi-manual and requires manual intervention (it cannot scale in response to load automatically)
  • Monitoring is unable to identify trends or foresee problems
Advanced (Continuous improvement)

Key milestones:

  • All team members have capability to deploy to any environment
  • Permission-based model that restricts deployment
  • Fully automated health checks
  • Centralised monitoring aids in the automatic diagnosis of 99% of problems
  • Automated documentation



  • Implementation is expensive
  • Requires a great degree of skill to sustain and develop over time

Key milestones:

  • Continuous reliability enhancement
  • Translating quantifiable measures and indicators for use in business and decision-making
  • Algorithms for continuous enhanced monitoring and troubleshooting



  • Expertise and culture
  • Implementing a continuous improvement method is expensive

DevOps Engineering professionals will do a thorough evaluation of your organisation’s infrastructure and DevOps processes to ascertain their present maturity level, then offer advice on areas of improvement and tactical ways to progress.

DevOps Engineering Services & Cloud Expertise

DevOps Engineering manages projects across a range of sectors and offers DevOps as a managed service. We operate in many industries, including Finance, Energy, Retail and Distribution, Education, Healthcare, E-Commerce, Media & Entertainment, Travel, Transportation and Hospitality.

DevOps Services
Integration and Delivery in Continuous Motion

DevOps Engineering assists clients in maintaining rigorous control across the SDLC as part of its DevOps consultancy on continuous integration and continuous delivery by automating product tests, deployment, and code management.

Targets of CI/CD DevOps Services:

  • Minimise the release lifecycle
  • Reduce the average time to fix
  • Ensure simple deployment


Methods for Providing CI/CD DevOps Services:

  • Create configuration as a code
  • Utilise disposable, ephemeral agents
  • Avoid downtime during releases
  • Separate CI and CD
  • Control artefacts


Frameworks and Tools for CI/CD DevOps Services:

  • Scalable CI
  • Seamless decomposition and parallelisation
  • Automated code review and reporting
  • Cloud tools (including Jenkins, Bamboo, TeamCity, TravisCI, Concourse, GitLab CI, and Bitbucket Pipelines)
  • Cloud-based tools (including AWS CodePipeline, Google Cloud Build and Azure DevOps)
Test Automation

DevOps Engineering, as a services provider, combines automated testing into the product / infrastructure and development processes. This enables faster report times for discrepancies, continuous uptime, and cost savings. It can also shorten your company’s release cycles.

Automated Testing Objectives:

  • Run automated release checks
  • Provide regular and reliable input
  • Increase the frequency of checks


Methods for Performing Automated Testing:

  • Unit, Integration, Functional
  • Web, API, mobile, and microservices
  • TDD, BDD, and DDT
  • Smoke and regression testing
  • Testing for benchmarks, HA testing, and performance testing
  • Parallel and scalable testing


Frameworks and tools for CI/CD DevOps Services:

  • Adoption of automation and modifications to processes
  • JMeter, Artillery, Tsung, and Gatling
  • Selenium, Appium, Saucelab, and Browserstack
  • Test Complete and QTP
Infrastructure Management

Infrastructure management involves automatic environment provisioning, a monitoring program that sends relevant alerts, and autoscaling. This process is essential for product success.

As a DevOps consulting services provider, DevOps Engineering can help you maintain a healthy workflow and eliminate many critical problems at the source with the help of monitoring and alerting tools.

Infrastructure Management Objectives:

  • Maintain environmental uniformity
  • Allow for testing
  • Shortened SDLC


Infrastructure Management Approaches:

  • Infrastructure as a programming language
  • Monitoring and alerting
  • Planning for Capacity


Infrastructure Management Frameworks, Tools, and Technologies:

  • Terraform, CloudFormation, ARM Templates, and GCP Deployment Manager
  • AWS ECS, EKS, Fargate; GCP GKE; Azure AKS, and Nomad
  • Docker, Puppet, Chef, and Ansible
  • Prometheus, ELK, Grafana, Zabbix, DataDog, Splunk, and Fluentd
  • AppsDynamics, and NewRelic
  • AutoScaling and Blue/Green implementations
Security Management (DevSecOps)

As a provider of DevOps solutions and services, DevOps Engineering focuses on incorporating security into the product at the early stages of the SDLC rather than later. This method is known as DevSecOps, and it can result in seamless process integration, improved security and compliance, and reduced costs.

Security Management Objectives:

  • Identify vulnerabilities
  • Maintain consistent compliance
  • Implement a security-first strategy


Security Management Approaches:

  • DevSecOps
  • Policy as a Code
  • Static Application Security Testing (SAST)
  • Dynamic Application Security Testing (DAST)
  • Software Composition Analysis (SCA)
  • Monitoring of Cloud Compliance
  • Scanning of Infrastructure and Containers


Security Management Frameworks, Tools, and Technologies:

  • Checkmarx, SonarQube, and Veracode
  • Burp Suite, Nessus, and Qualys
  • Snyk and Sonatype Nexus
  • Cloud-native tools, Scout Suite, Prowler, Azucar, and kubeaudit
  • Gitlab Security Center
Cloud Expertise

DevOps Engineering has extensive expertise working in the cloud as an official partner of AWS, Google Cloud, and Microsoft Azure. When the software development and operations teams at DevOps Engineering work on a Cloud project, we consistently adhere to best practises by setting quantifiable operational objectives, infrastructure management, and solution design patterns.

DevOps Engineering, as a services provider, is acquainted with cloud-integrated DevOps technologies and relevant DevOps automation options from key cloud providers.

Cloud Objectives:

  • Instantly go worldwide
  • Enhance security and compliance
  • Reduce Management costs
Docker and Kubernetes Expertise

In addition to its comprehensive knowledge as a DevOps solutions provider, DevOps Engineering operations teams have hands-on skills and experience managing with production workloads on Docker and Kubernetes. DevOps Engineering employs certified Kubernetes Developers and Administrators.


  • Best practices
  • Technologies and tools
  • Docker in development, testing, and production workloads



  • K8S competency center
  • Technologies and tools
  • Operations
  • CI/CD



  • Design deployments to be flexible
  • Ensure hybrid or multi-cloud agility
  • Ensure effective resource management



K8S Provisioning:

  • Kops, Rancher, OpenShift, and Konvoy
  • K8S on Mesos
  • OnPrem/Bare metal


Management and Operations:

  • Helm
  • Istio and Calico
  • Portworx
  • Styra
  • Traefik
  • Prometheus, ELK, and Grafana
  • Kubefed
  • Kudo/Operators
  • Kubeless
Google Cloud
Amazon AWS

DevOps Engineering has two decades of managed service provider experience. We can help you gain the trust of your clients and manage risks associated with development and operations.

DevOps Engineering can provide you with a comprehensive DevOps framework that will enable you to:
  • Lower and control costs more effectively while focusing on core business, seizing new possibilities, and innovating.
  • Develop a DevOps assessment strategy that improves software release and delivery processes, decreases time to market, and minimises technical debt
  • Standardise and industrialise company processes by quickly responding to changes, improving analytical ability and ensuring regulatory compliance

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