Great insights @pavanbelagatti on Wing, Python, Go, and more! I wanted to chip in a few more tools that could be super useful for cloud engineers:
Infrastructure as Code & Config Management: Check out Pulumi (pulumi.com) for using languages like Python to define cloud infrastructures, or AWS CDK (aws.amazon.com/cdk) for building on AWS with ease. For direct platform integration, there's CloudFormation (AWS) and ARM Templates (Azure). And don't miss out on Ansible, Chef, and SaltStack for top-notch cloud management.
Cool Cloud Tools: The Serverless Framework (serverless.com) makes deploying apps across clouds a breeze, and GraphQL (graphql.org) offers efficient API interactions. For Kubernetes, Helm (helm.sh) is a lifesaver.
Monitoring & Observability: Keep tabs on everything with Prometheus (prometheus.io), go for an all-in-one solution with Datadog (datadoghq.com), or manage microservices smoothly with Jaeger (jaegertracing.io).
Databases for the Cloud: Don’t forget Amazon DynamoDB for serverless scaling, Google Cloud Spanner for global consistency, and CockroachDB for resilient, distributed SQL.
Hope these tools add more firepower to your cloud engineering toolkit. Keep up the awesome work ✌️
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Great insights @pavanbelagatti on Wing, Python, Go, and more! I wanted to chip in a few more tools that could be super useful for cloud engineers:
Infrastructure as Code & Config Management: Check out Pulumi (pulumi.com) for using languages like Python to define cloud infrastructures, or AWS CDK (aws.amazon.com/cdk) for building on AWS with ease. For direct platform integration, there's CloudFormation (AWS) and ARM Templates (Azure). And don't miss out on Ansible, Chef, and SaltStack for top-notch cloud management.
Cool Cloud Tools: The Serverless Framework (serverless.com) makes deploying apps across clouds a breeze, and GraphQL (graphql.org) offers efficient API interactions. For Kubernetes, Helm (helm.sh) is a lifesaver.
Monitoring & Observability: Keep tabs on everything with Prometheus (prometheus.io), go for an all-in-one solution with Datadog (datadoghq.com), or manage microservices smoothly with Jaeger (jaegertracing.io).
Databases for the Cloud: Don’t forget Amazon DynamoDB for serverless scaling, Google Cloud Spanner for global consistency, and CockroachDB for resilient, distributed SQL.
Hope these tools add more firepower to your cloud engineering toolkit. Keep up the awesome work ✌️