DEVOPS & SITE RELIABILITY ENGINEERING

DevOps enables enterprises to simultaneously improve organizational performance, achieve the goals of all the various functional technology roles (e.g. Development, QA, IT Operations, Infosec), and improve the human condition.

It’s Product Management, Development, IT Operations, and even Information Security, all working together and supporting one another.

 

“…Until code is in production, no value is actually being generated, because it’s merely WIP stuck in the system.”

Gene Kim, “The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win”

CAPABILITIES

DevOps Readiness Assessment & Strategic Consultancy

Software Development LifeCycle Automation

Production Management
Cluster Management & Orchestration
Service Mesh
Deployment Strategy
Automated Declarative Pipelines

Applications & Infrastructures Observability & Telemetry

Applications & Infrastructures Monitoring & Logging
Data Analytics

Self-Healing & Anti-fragile Architecture
Remediation Automation
Failure prediction (Augmented SRE)
Chaos Engineering (Embrace the failure)
Infrastructure-as-code

Networking, Infrastructures & Data Security
Zero Trust
Software Defined Parameters
Data Obfuscation & Masking
Network as code
Policies as code

OUR TECHNOLOGY VISION

We advocate Cloud native computing as the approach in software development that utilizes cloud computing to build and run scalable applications in modern, dynamic environments – such as public, private, and hybrid clouds.

Technologies such as containers, microservices, serverless functions and immutable infrastructure deployed via declarative code are common elements of our architectural style.

 

The rational reason for choosing antifragile concepts is that cloud computing requires a completely new attitude of viewing failure. Indeed, building fault tolerant systems is not enough, as they process just a list of known use cases and try to avoid failures. These systems often lead to long delivery cycles and a high degree of complexity which, in fact, raise the likelihood of failure and create fragile systems.
Faults are bound to happen, no matter how hard you test to find them before putting your software into production. Chaos Engineering is the practice of injecting faults into a system before they naturally occur. It is now accepted as an essential approach for ensuring that today’s frequently changing and highly complex systems are achieving the resilience required. Through chaos engineering, unanticipated failure scenarios can be discovered and corrected before causing user issues.
At its core, GitOps is code-based infrastructure and operational procedures that rely on Git as a source control system. It’s an evolution of Infrastructure as Code (IaC) and a DevOps best practice that leverages Git as the single source of truth, and control mechanism for creating, updating, and deleting system architecture.

More simply, it is the practice of using Git pull requests to verify and automatically deploy system infrastructure modifications.

GitOps ensures that a system’s cloud infrastructure is immediately reproducible based on the state of a Git repository. Pull requests modify the state of the Git repository. Once approved and merged, the pull requests will automatically reconfigure and sync the live infrastructure to the state of the repository. This live syncing pull request workflow is the core essence of GitOps.

CASE STUDIES

For a large FinTech company, we managed the transition of the entire platform from an on-premises infrastructure to a full Google Cloud based one. The solution leveraged IaaS and PaaS cloud provider capabilities, finding the best compromise in terms of complexity versus cost. Infrastructure as Code (IaC) patterns were applied to streamline configuration management of both cloud and Kubernetes resources.

As a major promoter of legacy systems modernization in a leading Bank, we designed and implemented a proof of concept platform entirely based on the HashiCorp stack. The aim is to replace infrastructure based on manual configuration and Java application servers with Terraform, Vault, Consul, Nomad and Packer to fully automate the application and infrastructure lifecycles.

Helping a Digital Payment Processing company, we’ve designed the layout and deployment strategy of multiple Apache Kafka clusters following configuration management best practices. Our engagement resulted in the final assessment of the setup sanity and performance, including deployment software as well as the reliability and availability of monitoring and alerting tools.

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