With innovations accelerating and increased demands of DevOps users, businesses are becoming more agile with each passing day. To smooth the progress of functional excellence and achieve overall business goals, organizations need to stay agile. This advancement is progressing downstream with the evolution of DevOps.
But DevOps isn’t as easy as it sounds. Deploying a highly efficient Amazon Web Services (AWS) environment without expensive configuration management tools is possible. But it requires serious efforts as there are chances of errors and mistakes.
AWS offers wide range of tools and services which can help you in configuring and deploying your AWS resources. Some of these tools are CloudFormation and ElasticBeanstalk. But these tools cannot manage your AWS environment fully. They can only cover the AWS objects created by you. They can’t deal with the software and various configuration data present on your EC2 instances.
While cloud is emerging as a hero for enterprises by giving them a great platform to manage their multifaceted software applications, enterprises look for more flexibility in their software creation practices. They have simply migrated from conventional models to agile or lean development practices. This move or let’s say it as a development has also spread to various operation teams and has shorten the impending gap between customary Development and Ops teams.
Providing a flexible and highly efficient environment, Amazon Web Services (AWS) has successfully facilitated the growth and profitability of its clients including Netflix, Airbnb, Etsy, and many more and these all embraced DevOps. In this post, we will try to deconstruct the elements of DevOps that have brought those successful impacts. We have provided here some of the best practices and practical examples.
How to make sure that your RDS/EBS data is being backed up timely? Do you keep a copy of your AWS snapshots across regions to be disaster recovery prepared? Botmetric offers Cloud Automation jobs for all these use cases and many more.
Here are some of the cloud automation jobs which will help you in saving time and advance your operational agility.
Take EBS volume snapshot based on instance/volume tags
Enable regular snapshots for your AWS EBS volumes. Use Botmetric’s Cloud Automation to schedule a job for creating snapshots automatically. This can be done for the EBS volumes having specified instance or volume tags. This would also help you to be DR ready.
Take RDS snapshot based on RDS tags
Enable regular snapshots for your AWS RDS instances. Use Botmetric’s Cloud Automation to schedule a job for creating snapshots automatically for the RDS instances having specified tags.
Stop EC2 Instances based on instance tags
Stop the instances which are not required anymore and save some cost. Botmetric’s Cloud Automation can schedule a job for your infrastructure which will stop EC2 instances automatically at specified time.
Start EC2 Instances based on instance tags
Start your stopped instances whenever it is required. Botmetric’s Cloud Automation automatically schedules a job which will start EC2 instances automatically at a specified time.
Create AMI for EC2 Instances based on instance tags
Use automation to create AMI for EC2 Instances based on instance tags automatically.
Copy EBS Volume snapshot (based on volume tags) across regions
Enable your data backups to be copied across AWS regions. Use Botmetric’s Cloud Automation to schedule a job which will automatically on specified periods copy EBS Volume snapshot based on volume tags from a source region to the destination region.
Copy RDS snapshot (based on RDS tags) across regions
Using Botmetric’s Cloud Automation you can schedule a job which will automatically on specified periods copy RDS snapshot based on RDS tags across regions.
Botmetric periodically copies your data backups across the AWS regions. With Botmetric, you can do so by scheduling a job for cross-region copy:
• Copy EBS Volume snapshot (based on volume tags) across regions
• Copy RDS snapshot (based on RDS tags) across regions
How Automation can help you further?
Auto-Healing with 24×7 DevOps Automation
Automate your most common and repetitive AWS tasks to save up to 30% of time. Detect and fix critical issues with just the click of a button.
Fix issues 10x faster, within seconds with ‘CLICK TO FIX’ feature
Automate start/stop of EC2 instances to save more time and avoid unnecessary expenses
Resolves problems in an on-demand/automatic basis to save cost and improve your operational agility.
One-click log activation of load balancers and AWS CloudTrail.
Quick ‘How-To-Fix’ guide to resolve audit issues
Implementing DevOps Automation can offer extremely helpful prospects and improve functional excellence with time-to-market. In addition to these, automation also helps in abridging expenses in several dimensions including manpower costs, resources costs, value costs, intricacy costs, and, most valuable in the eyes of all industry leaders, the time costs.
DevOps has progressed to become a key part of enterprise IT planning. The simple realistic way of managing security in cloud is developing very fast and changing swiftly to make it automation first. The Cloud Automation jobs being offered by Botmetric are helpful for all the use cases.
With Botmetric’s AWS DevOps Automation, you can easily supervise your everyday cloud tasks with just a click. Not only this, but you can minimize approaching security risks while maintaining fast growth and quick time-to-market on the side of your production. Automation also helps you in reducing CloudOps overload. It eliminates repetitive and boring tasks and focuses on what matters to your business most. Automating your data backups not only frees you from the fear of losing them but also enable you to run your business smoothly. And as we rightly say as DevOps in Cloud is a match made in heaven, implementing the best practices will help you enjoy the freedom of saving up more time in automating your routine cloud tasks.
So what does the future hold for DevOps? Tweet your thoughts to us.