Seamlessly Integrated Workflow

Dev-Sec-Test-Ops
for modern companies.

About Dev-Sec-Test-Ops

We bring developers across specialties from mobile front-ends to database back-ends. We enable work across hybrid infrastructure that include mainframe and cloud. We leverage AI driven test automation to improve quality. We help you transform security into an integral element of digital delivery. We call this Dev-Sec-Test-Ops.

The Dev-Sec-Test-Ops Framework

Devops Analytics

Analytics as Code
Data Insights and Analytics
  • Real time metrics measurement

    With the introduction of delivery cycle metrics, lapses in quality are no longer excusable. Due to the granular view that these metrics provide, leaders can see exact instances where their delivery cycle needs improvement. The pioneers in this space are doing everything they can to eliminate these deficiencies, to drive greater quality in the future. With the introduction of delivery cycle metrics, lapses in quality are no longer excusable. Due to the granular view that these metrics provide, leaders can see exact instances where their delivery cycle needs improvement. The pioneers in this space are doing everything they can to eliminate these deficiencies, to drive greater quality in the future.

  • End to end traceability

    Much like the practice of enterprise software delivery itself, traceability is complex and fast becoming one of the biggest technical headaches for organizations worldwide. It’s easy to see why. Think of all those concurrent product lines. All those evolving features. All that mutable product information that specialist teams create and depend on during different stages of the process. Think of how the essence of Agile means requirements constantly evolve from backlog to deployed. Think of all the planning, articulating, building, testing and deploying. The ongoing customer feedback. The second iteration, the third, fourth, fifth and so on. Think of all that honing, continuous collaborative development. Few things are static in software delivery. Being able to capture every activity matters.

  • Real time dashboards

    Software development teams need to be able to track metrics instantly. The second something happens with the product – whether it’s down time or a service disruption – the real time information team needs to respond. Dashboards enable development teams to monitor their product and respond in real-time, track metrics, including: up and down times, response times, load times, errors, development work items, and more.

  • Event co-relation

    As data centers grow in size and complexity, IT event correlation and management becomes more challenging. Some challenges stem from IT silos, in which different network, server, and storage teams monitor events using their own tools and processes. Businesses need a single, unified view of your IT environment and the ability to automate the execution of analytics, such as the correlation of events and performance data with topology from end-to-end and top to bottom.

  • Auto-ticketing, auto-triage, self healing

    Automated ticket triage solutions are successfully used by many organizations to better leverage their own data resources and to keep pace with rising customer expectations. With intuitive interfaces and comprehensive approaches to support functionalities, automation results in faster, more intelligent and more engaging customer service and support.

Enterprise Release Management

Release as Code
Release Workflows
  • Application Release Automation

    More and more organizations are recognizing that Continuous Delivery and Release Automation tools are critical for enterprises that want to achieve the full business value of their software delivery cycle. These tools provide the automation and standardization that organizations need to optimize the software pipeline, rapidly deliver high quality applications, and differentiate in competitive markets.

  • Release Planning

    In the past, most of the release manager’s work was concentrated on the planning, development, and testing phases. Today’s release manager activities are heavily focused on the operations side—for example, building an automated pipeline and process to ensure that the code will be safely propagated to production. Whereas previously the primary release manager interfaces were development and QA, today’s release manager has many more interfaces to deal with, including operations, customer success, support, sales, product management, and marketing.

  • Release Orchestration

    Represents an easy way to orchestrate, automate and manage your end-to-end software release pipelines without stopping you from taking full advantage of the unique blend of tools and practices you’ve developed and employed. You can model your software development and release process as a sequence of phases and steps. You can save models as templates and you can string them together however you see fit.The end result is a complete pipeline that can be triggered at the push of a button.

  • Release Rollout/Rollback

    Introduce a brand new feature using a feature flag, and then, leveraging target groups, you can expose users gradually to it. Measure its performance with just a few users, then crank up the dial to dozens or hundreds, evaluating every step of the way. If you hit a problem, you can simply turn the news feature off. Or you can roll back gradually as well, getting back to safe levels while fixing the problem. In a world where downtime is no longer acceptable, you can’t afford big bang deployment or other risky rollout strategies. Use gradual rollout to deploy new features and functionality with confidence.

  • Release Monitoring

    A real-time workflow for monitoring and managing features and fixes throughout your entire pipeline. Reduce release complexity by seeing multiple releases in one dashboard view. Enables to quickly identify conflicts and maintenance windows, and easily adjust schedules as needed. Release monitoring can help you plan multiple releases into the same production schedule, with the ability to monitor those releases within the context of milestones and readiness criteria.

Continuous Security

Security as Code
Placeholder Title
  • Static scan at code commit

    Implement tools that enable writing secure code just one more aspect of writing great code. With next generation designed-for-developer tools, API and workflow integrations, and tips for fixing vulnerabilities when they are found, you can make security a seamless part of your development lifecycle without sacrificing speed or innovation.

  • Threat modeling

    The technical steps in threat modelling involve answering questions: - What are we working on - What can go wrong - What will we do with the findings - Did we do a good job? The work to answer these questions is embedded in some sort of process, ranging from incredibly informal Kanban with Post-its on the wall to strictly structured waterfalls. The effort, work, and timeframes spent on threat modelling relate to the process in which engineering is happening and products/services are delivered. The idea that threat modelling is waterfall or ‘heavyweight’ is based on threat modelling approaches from the early 2000s. Modern threat modelling building blocks fit well into agile and are in wide use.

  • Shift left for static and dynamic scans

    If you continuously vet the application for security issues from the outset of development, it is highly unlikely that a major security concern would arise toward the end of the delivery pipeline. It’s more likely that only minor security concerns would exist as the application development process comes to a close. This is a direct result of providing visibility into the application’s quality by continuously verifying that security standards are being implemented properly—a huge time-saver (and potentially huge money-saver) down the line.

  • Automated Security Attack

    Rather than rely on lengthy and manual penetration exercises that, by their nature, can only occur periodically, the organization can use automated means to frequently assess the efficacy of their myriad security controls against the newest threats.

  • Continuous vulnerability scans

    Cyber defenders must operate in a constant stream of new information: software updates, patches, security advisories, threat bulletins, etc. Understanding and managing vulnerabilities has become a continuous activity, requiring significant time, attention, and resources.

  • Bug Bounties

    A bug bounty program is a deal offered by many websites and software developers by which individuals can receive recognition and compensation for reporting bugs, especially those pertaining to exploits and vulnerabilities. These programs allow the developers to discover and resolve bugs before the general public is aware of them, preventing incidents of widespread abuse.

  • Automated Runtime Defense

    Automated Run-time Defense is a mechanism that is built into an application and can detect and then prevent real-time application attacks. It prevents attacks by “self-protecting” or re-configuring automatically without human intervention in response to certain conditions (threats, faults, etc.). Automated Run-time Defense comes into play when the application is executed, causing the program to monitor itself and detect malicious input and behavior. By moving beyond security only at the perimeter of a network or an endpoint, Automated Run-time Defense enables applications to defend themselves.

  • Fuzzing

    A fuzzer is a program which injects automatically semi-random data into a program/stack and detect bugs. The data-generation part is made of generators, and vulnerability identification relies on debugging tools. Generators usually use combinations of static fuzzing vectors (known-to-be-dangerous values), or totally random data. New generation fuzzers use genetic algorithms to link injected data and observed impact.

  • Pen Testing

    A penetration test, colloquially known as a pen test, is an authorized simulated attack on a computer system, performed to evaluate the security of the system. The test is performed to identify both weaknesses (also referred to as vulnerabilities), including the potential for unauthorized parties to gain access to the system's features and data as well as strengths enabling a full risk assessment to be completed.

Smart Environments

Infrastructure as Code
Lower & Production Environments
  • Infrastructure Provisioning Automation

    If it takes you weeks, or even days, to provision new systems, you're holding up applications your business needs. It doesn't have to be that way. Accelerate provisioning and get to Day Two faster by automating your infrastructure deployments.

  • Middleware Provisioning Automation

    Database and Middleware Automation provides end to end lifecycle management for database and middleware in a multi-vendor heterogeneous environment to enable cloud services like DBaaS and PaaS for an agile response to the business whilst improving IT Operations efficiency. Maintaining database and middleware environments is daunting, given the complexity and the volume of tasks supported. IT teams struggle to meet service levels for middleware and database patching, database upgrades, middleware and database provisioning and code release. They also find it difficult to enforce standards and stay compliant. Valuable DBA time is spent on executing mundane and repetitive tasks. Efforts to automate via scripting fall short as they lack central control, consistency and require lots of maintenance. Such a situation does not position IT teams to execute on new initiatives like Cloud based services.

  • Configuration Automation

    Configuration automation captures data and dependency information into snapshots that let you establish configuration baselines and gold standard for continuous change tracking and to detect configuration drifts. Detected configuration changes are reconciled with baselines and authorized change manifest for manual or automated remediation based on best practice change management lifecycle processes.

  • Test Environment Lifecycle Management

    In most of the cases, the reason for a bad quality product is because test environment management isn’t given high priority or the environment management process is not managed efficiently. With regulatory compliance such as Sarbanes Oxley, it’s becoming important for IT to ensure that their software or service is compliant with industry norms or business requirements. Test teams should have ability to self service when it comes to building and deploying test environments that mimic production.

  • Test Data Management

    An automated solution to one of the most time-consuming and resource-intensive problems in Continuous Delivery: the creating, maintaining and provisioning of the test data needed to rigorously test evolving applications. Test Data Management solution uniquely combines elements of data subsetting, masking, synthetic, cloning and on-demand data generation to enable testing teams to meet the agile needs of the organization.

Continuous Delivery

Pipeline as code
Delivery Pipelines
  • Dev/Test/SCM Automation

    Improve product quality and reduce avoidable delays in execution. Support data orchestration with other lifecycle tools. Achieve minimum turnaround time with minimal human intervention and automated processes. Get on-demand updates on development progress and track actionable items. Leverage full-spectrum traceability to enable better release predictability. Benefit from automated defect identification and resolution. Accommodate workflow based automatic triggering of test and automated cases.

  • CI/CD

    Augment product quality and reduce costs with continuous integration. Effectively combine Coding with Collaboration to derive the most value from implementation. Detect bugs at an early stage of development lifecycle. Increase the coverage of code. Decrease code review time. Deploy code directly to pre-production or production environment.

  • Test Automation and Continuous Testing

    Services > Application Services > DevOps DEVOPS To succeed in this decade, enterprises are working overtime to leverage new technologies and methodologies, to accelerate innovation. However, they are increasingly finding it difficult to derive the true worth of an application when operations and development teams work in silos. Previously, software used to be “tossed across the wall” to operations/ infrastructure, for deployment and other services. As a result, resolving unforeseen and tricky challenges needed many iterations between multiple groups, resulting in unmet deadlines and unproductive deployments. After all, nothing is more frustrating than unveiling the new version of an exciting new app – only to have its wheels fall off – when the actual downloading happens. Changing Software Behavior – One Mindset At A Time Globally, it has been proven that DevOps needs 35% less IT workforce and 30% lower IT costs. At S-Square Systems, we realize DevOps is more than a mindset than technological practice. We amplify this benefit by getting our team of software developers, quality assurance experts, and infrastructure administrators to collaborate throughout the development cycle proactively. Our extensive experience and expertise in DevOps empowers us to provide our customers with end-to-end DevOps services spanning planning; strategy managed services and execution. Practice Areas DevOps Implementation Test Data Management Continuous Delivery Service Virtualization Enterprise Release Management Future DevOps With Containerization/Microservices/PaaS Environment/Configuration Automation Continuous Integration Test Automation SCM And Development/Test Tool Automation Release Planning/Automation/Monitoring DevOps Implementation Deliver more with maximum functionality, speed, and innovation. Enable faster speed to market and better business outcomes. Minimize development times by improving the communication between development teams and key stakeholders. Provide the same responsiveness to postcode processes as the software coding process. Rapidly deploy, test and integrate new features into the system. Environment/Configuration Automation Transform businesses into a customer-centric digital ecosystem. Ensure instant & effective provision of DevOps environment while ensuring the new environments are consistent with existing ones. Automate software infrastructure and scale it up with ease. Determine readiness of testing environments to move to the cloud. Optimize asset utilization while lowering support costs and TCO. Test Data Management Lower the risk of human error through controlled automation. Speed up software delivery and drive superior quality. Deliver the ability to manage test cases, test planning & execution, defect management, test coverage analysis and test automation monitoring. Ensure test data quality by maintaining consistency across allied masked data. Plug the gaps left by test automation solutions. Continuous Integration Augment product quality and reduce costs with continuous integration. Effectively combine Coding with Collaboration to derive the most value from implementation. Detect bugs at an early stage of development lifecycle. Increase the coverage of code. Decrease code review time. Deploy code directly to pre-production or production environment. Continuous Delivery Enable proactive collaboration between Dev & Ops teams. Have developers automate testing beyond unit tests. Thoroughly validate updates. Automate entire software release process. Free developers from time-intensive tasks and encourage behaviors that reduce errors and bugs. Perform additional code testing before the automation of entire process. Deliver timely and more frequent updates to customers. Bring together different teams to build, test and deploy applications in order to reduce overall deployment times. Reduce the number of errors in specifications & understanding. Mitigate risks and unlock the value to production. Greatly lower the cost of changing to a system by test automation. Supercharge your delivery pipeline. Enable teams to move past the drudge work of test data management. Shift the focus on user value while ensuring maintainability of projects

  • Containerization/Microservices/PaaS

    Future DevOps With, Containerization/Microservices/PaaS Allow agile development, deployment, and operations of all software types through Microservices. Ensure the highest application density and maximize utilization of server resources. Support an assortment of on-cloud options with the freedom to innovate. Reduce TCO by running different applications on the same hardware. Leverage PaaS and Containerization to eliminate human errors and speed up time-to-market.

  • ITSM Vs. DevOps

    Do we really need to pick a side? To the contrary, we need both. We’re talking about complementary, not competitive boxes. We need to be able to work smarter and quicker, but we also still need process and control. Modern, high performing teams and organizations are starting to realize this and use elements of both – they’ve moved beyond the “either/or’ ultimatum.

Four Cornerstones of Dev-Sec-Test-Ops

People

Platform engineers
Site reliability engineers
Full Stack Developers
Quality Engineers

Technology

One-Step Build, Test, Deploy
Continuous Feedback
Developer Self Service
Integrated Tools

Process

Continuous Integration
Continuous Testing
Continuous Delivery
Minimum Viable Product

Culture

Team trust
Strong collaboration
Maintaining ownership
Always improving

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