commitment to climate action

Quality Assurance (QA), DevOps, and Cloud Engineering are three key areas where we are making an impact with sustainability practices.

QA

• Performance testing: We use Performance testing to identify bottlenecks and performance issues to enable optimization for reduction in energy consumption.
• Security testing: Our experts in Security testing identify vulnerabilities in software systems to help you fix them and reduce the risk of data breaches and security incidents.
• Usability testing: We conduct Usability testing to uncover usability issues in your software that makes it difficult or frustrating to use. We reduce the need for users to consume additional resources, such as energy and time, in order to use the software effectively.

DevOps

• Infrastructure as code (IaC): IaC enables you to define and manage infrastructure in code, which can reduce waste and improve efficiency. With IaC implementation, you can automate the provisioning and deprovisioning of infrastructure resources such as VMs, Storage, Networking, DBs, Load balancers, ensuring that they are only used when needed. Our team is expert in using the following IaC tools:

1. Terraform
2. Ansible
3. AWS CloudFormation
4. Azure Resource Manager
5. Google Cloud Deployment Manager
6. Chef

• Continuous integration and continuous delivery (CI/CD): CI/CD automates the build, test, and deployment process, which can help to reduce the number of failed deployments and the need for manual intervention. This can lead to a reduction in energy consumption and waste. Our team is well-versed with the following CI/CD tools:

1. Jenkins
2. CircleCI
3. GitLab CI/CD
4. Azure Pipelines
5. AWS CodePipeline
6. Google Cloud Build

• Containerization: Containerization allows developers to package their applications and their dependencies into a single unit. This can help to reduce the amount of hardware required to run applications, as well as the energy consumption of these applications. It offers high efficiency, portability and doesn't interfere with other containers. We primarily use Docker for containerization and Kubernetes to manage automated deployment and scaling of containerized applications.
• Serverless computing: Serverless computing is a cloud computing model in which the cloud provider manages the server infrastructure that is used to run applications. This can help to reduce the energy consumption of applications, as well as the need for developers to manage their own infrastructure. We use the following Severless computing tools:

1. AWS Lambda
2. Azure Functions
3. Google Cloud Functions

• Monitoring and observability: Monitoring and observability tools can be used to track the performance and resource utilization of applications. This can be used to identify and fix inefficiencies, which can lead to a reduction in energy consumption and waste. Monitoring tools can also be used to generate alerts when certain thresholds are exceeded. Observability tools can also be used to generate alerts when anomalies are detected. Here are some Monitoring and Observability tools we use:

1. Datadog
2. Dynatrace
3. New Relic
4. Splunk
5. Prometheus
6. Grafana
7. Elasticsearch
8. Jaeger

Cloud Engineering

• Using energy-efficient cloud services: Cloud providers offer a variety of energy-efficient cloud services, such as serverless computing, spot instances, and reserved instances. Cloud engineers can use these services to reduce the energy consumption of their applications.
• Optimizing Cloud Infrastructure: Cloud engineers can optimize their cloud infrastructure to reduce energy consumption and save on their cloud bills. For example, they can use auto-scaling to ensure that resources are only used when needed, and they can right-size resources to match the needs of their applications. In addition to using Serverless Computing, here are some of the ways we help our clients optimize their Cloud Infrastructure:

1. Spot instances. Spot instances are unused cloud computing resources that are available at a discounted price. You can use spot instances to run applications that are not time-sensitive, such as batch processing jobs. Spot instances can save you up to 90% on cloud costs, but they can be terminated at any time if the cloud provider needs the resources for other customers.
2. Reserved instances. Reserved instances are cloud computing resources that you can reserve for a period of one or three years. Reserved instances can save you up to 75% on cloud costs, but you must commit to using the resources for the entire reservation period.
3. Auto-scaling. Auto-scaling is a cloud computing feature that can automatically scale your cloud resources up or down based on demand. This can help you to avoid overprovisioning resources, which can save you money on cloud costs. Auto-scaling can also help to reduce environmental impact by ensuring that you are only using the resources that you need.
4. Right-size your resources. Right-sizing is the process of ensuring that you are using the right amount of cloud resources for your applications. You can use cloud monitoring tools to track the resource utilization of your applications and to identify any areas where you can right-size your resources.

We are spearheading these Sustainability practices across QA, DevOps, and Cloud Engineering services to help our clients make positive impact to Climate change emergency.