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Dirghayu Dave
Dirghayu Dave is a senior DevOps engineer at Infostretch
Improving Resiliency by Creating Chaos
August 5, 2021
|
chaos
,
chaos engineering
,
SRE
In the digital economy, preventing downtime is paramount. When digital systems fail, the consequences for business can be huge. The cost of downtime can run to thousands of dollars per minute for ...
Kubernetes Backup and Recovery Poll
Step
1
of
9
11%
What % of your business critical apps are running on Kubernetes? (select one)
< 10%
10 - 25%
26 - 50%
51 - 90%
91 - 100%
How do you currently manage the backup and disaster recovery process for your Kubernetes workloads? (select one)
Manual scripts and processes
Traditional on-prem backup solution
Cloud provider backup solutions
Mix of cloud and on-prem backup solutions
Not currently managing backups
How often do you perform backup operations (full or incremental) for your Kubernetes workloads? (select one)
Daily
Weekly
Monthly
Ad hoc, as needed basis
What challenges does your organization face when moving business critical applications to containers and Kubernetes? (select all that apply)
Lack of Kubernetes and Cloud-Native skills, given the inherent complexity of Kubernetes
Resources required to migrate applications from traditional infrastructure or VMs
Monitoring and troubleshooting containerized applications across hybrid, multicloud & cloud-native
Securing the containerized environment
Ensuring adequate performance while scaling production workloads to meet business requirements
Which cloud platform(s) do you need to support for your Kubernetes backup and restore strategy? (select all that apply)
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
Akamai/Linode
Digital Ocean
Oracle Cloud
Alibaba Cloud
IBM Cloud
Private Cloud or On-premises
Other cloud provider
No cloud provider
Which Kubernetes platforms do you need to support for your Kubernetes backup and disaster recovery strategy? (select all that apply)
OpenShift
Rancher
VMWare Tanzu
AWS EKS (Elastic Kubernetes Service)
Microsoft AKS (Azure Kubernetes Service)
GCP GKE (Google Kubernetes Engine)
Other
What is your target Mean Time to Recover/Restore (MTTR) for your Kubernetes workloads in case of a disaster or system failure? (select one)
Less than 1 hour
1-4 hours
4-8 hours
8-12 hours
More than 12 hours
In your opinion, what are the most important features to have in a Kubernetes backup and restore solution? (Select up to 3)
Integration with existing tools, processes and vendor technologies
Scalability and reliability
Strong security and encryption
App mobility & recovery across hybrid & multi-cloud environments
Integrated pre-set and customizable policies
What is the size of your business or organization? (choose 1)
1 - 100 employees
101 - 500 employees
501 - 1000 employees
1001 - 5000 employees
Over 5000 employees
Δ