SlideShare a Scribd company logo
Achieved Multi-Cloud
Standardization With
Reliability & Scale
About
Customer
The AI-powered company empowers, customers to
make critical supply chain decisions with deep
insights, discover new commercial opportunities,
ensure compliance with trade regulations, and build
operational supply chain resiliency.
Challenges
faced
standardizing their multi-cloud
deployments to prevent service
disruptions from global configuration
changes.
Scattered dashboards with limited
visibility provided little scope for early
detection and gave way to longer
mean time to resolution of glitches.
Sub-optimal CI/CD flow presented
both development and performance
bottlenecks.
Required a high degree of precision
while managing tens of terabytes of
data, critical for real-time tracking.
Poor security posture and network
configuration.
Manual setup of their AWS
Infrastructure failed to gain
on-demand scale to accommodate
their growing customer base.
Solutions
Implemented
● Seamless GKE setup and streamlined deployments across all environments on Google Cloud via
BuildPiper.
● Managed multi-cloud setup of their environments – Preprod, Staging, and Production across aws and
GCP.
● Ensured consistency and efficiency by implementing CI/CD deployment for all environments in AWS by
creating an AMI image of the application and using it to deploy to different environments.
● Implemented 360-degree monitoring with a centralized dashboard that integrated with Prometheus,
Grafana, and Alert Manager.
● Implemented centralized logging solution with EFK stack – Elasticsearch, Fluentd, and Kibana.
● Created a reliable data pipeline with open-source tools like – Sentry, Jupyter Notebooks, Jupyter Lab,
Apache Airflow, Arrango-db, Rabbitmq, Strap API.
● Enabled Multi-factor authentication with IAM in AWS, Service Account in GCP, and OpenVPN setup.
● Enabled data storage via Amazon S3 for snapshots of Elasticsearch cluster, MongoDB, Postgres, Airflow
dags, and RDS backup.
● Performed complete security audit for finding loopholes and non-compliant procedures.
● Implemented WAF for application security.

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This document discusses Portworx, a Kubernetes data services platform. It provides storage capabilities like persistent volumes, backup/restore, security and multi-cloud mobility for containerized applications. The platform can be used on any infrastructure including VMs, bare metal servers and multiple public clouds. It aims to deliver a modern data experience for both traditional and cloud native applications running on Kubernetes. Case studies show how Portworx has helped customers achieve high availability, disaster recovery and scale for their production workloads. Trial versions and pricing options are listed at the end.

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Discover how AsiaPac is helping government, education and nonprofit organizations to architect and migrate their mission-critical applications onto AWS - with secure, high-performing, resilient, and efficient infrastructure. As more organizations move towards cloud, learn how best practices have been implemented on AsiaPac's full-lifecycle services - to provision, run, and support infrastructure, as well as managed services to reduce customer's operation overhead and risks.

awspssummit-asean-singapore-2019
Challenges In Modern Application
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This presentation highlights major challenges in Modern Applications and provides tips on how to deals with them

microservicessecuritytransaction handling
Final
Outcomes
Standardized deployments across
multi-cloud environments – zero global
configuration changes
Achieved a 100% reduction in
deployment time
Ensured zero loss and seamless
processing of tens of terabytes of
data that are critical to real-time
tracking updates
Gained fine-grained control over
scaling events
Easy integration of any service with a
few clicks via BuildPiper’s guided UI
Attained significant cloud bill reduction
through compounding cost-saving
measures
Thanks!
Do you have any questions?
Connect@opstree.com
For more such case studies visit:
www.opstree.com

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No More Global Configuration Drift: Achieved Multi-Cloud Standardization With Re

  • 2. About Customer The AI-powered company empowers, customers to make critical supply chain decisions with deep insights, discover new commercial opportunities, ensure compliance with trade regulations, and build operational supply chain resiliency.
  • 3. Challenges faced standardizing their multi-cloud deployments to prevent service disruptions from global configuration changes. Scattered dashboards with limited visibility provided little scope for early detection and gave way to longer mean time to resolution of glitches. Sub-optimal CI/CD flow presented both development and performance bottlenecks. Required a high degree of precision while managing tens of terabytes of data, critical for real-time tracking. Poor security posture and network configuration. Manual setup of their AWS Infrastructure failed to gain on-demand scale to accommodate their growing customer base.
  • 4. Solutions Implemented ● Seamless GKE setup and streamlined deployments across all environments on Google Cloud via BuildPiper. ● Managed multi-cloud setup of their environments – Preprod, Staging, and Production across aws and GCP. ● Ensured consistency and efficiency by implementing CI/CD deployment for all environments in AWS by creating an AMI image of the application and using it to deploy to different environments. ● Implemented 360-degree monitoring with a centralized dashboard that integrated with Prometheus, Grafana, and Alert Manager. ● Implemented centralized logging solution with EFK stack – Elasticsearch, Fluentd, and Kibana. ● Created a reliable data pipeline with open-source tools like – Sentry, Jupyter Notebooks, Jupyter Lab, Apache Airflow, Arrango-db, Rabbitmq, Strap API. ● Enabled Multi-factor authentication with IAM in AWS, Service Account in GCP, and OpenVPN setup. ● Enabled data storage via Amazon S3 for snapshots of Elasticsearch cluster, MongoDB, Postgres, Airflow dags, and RDS backup. ● Performed complete security audit for finding loopholes and non-compliant procedures. ● Implemented WAF for application security.
  • 5. Final Outcomes Standardized deployments across multi-cloud environments – zero global configuration changes Achieved a 100% reduction in deployment time Ensured zero loss and seamless processing of tens of terabytes of data that are critical to real-time tracking updates Gained fine-grained control over scaling events Easy integration of any service with a few clicks via BuildPiper’s guided UI Attained significant cloud bill reduction through compounding cost-saving measures
  • 6. Thanks! Do you have any questions? Connect@opstree.com For more such case studies visit: www.opstree.com