​Ultimate Comparison of AWS EC2 T2.Large Vs. M4.Large for Media Industry

AWS presents a series of large EC2 instances that can be used optimally for various computing needs. Of these, the t2.large and m4.large are two blockbuster instance types that a media company’s resource utilization decision makers must think through and compare before they make a decision. Because, if you look at the comparative matrix, both t2.large and m4.large instances look very similar. That makes it a challenge to decide the best resource, in terms of price and performance.  Here’s a information break-up of AWS EC2 t2.large vs. m4.large for media companies.    

The Backdrop

Typically, media sites handle large number of concurrent visitors at any given time. Visitors spend time on each page, reading, watching videos, or interacting with the content, before they go to another page or leave the site. And when you are running a campaign or a viral content, the site visits manifolds. So, your site needs heavy storage and high bandwidth. A compute instance must satisfy these requirements along with the need to run many applications in one production environment.

As a resource planner, you will tend to look at large AWS EC2 instances. And you are right in doing so. But then, which one to choose amongst the many ‘large’ instances that AWS provides? You have t2.large, m4.large, m3.large, c4.large, c3 large, etc. Which one is better for your media site that optimally provides a balance of compute, memory, and network resources and a platform to run those many applications and utilities? Plus you need to know which is the most optimized and economical instance that caters to all your compute, memory, and network resource needs?

Confused! Do not worry; we have two large instance type champions: t2.large and m4.large, which provide similar capabilities for your requirements. A right-sized and optimized cloud environment is going to give anyone the best savings. So, let’s explore some of the reasons why your engineering team would consider either EC2 instance over the other. Here’s a closer look at both the instances’ specifications:

AWS EC2 t2.large vs. m4.large for media companies

Now let’s take a closer look at both the instances’ pricing comparison(for US East Region), which is a major differentiating factor to make a decision:

Now let’s take a closer look at both the instances’ pricing comparison(for US East Region), which is a major differentiating factor to make a decision:

From the above compare matrix, we can see that both t2.large and m4.large instances feature dual-core vCPUs, with the t2 sporting high-frequency Intel Xeon processors with turbo modes up to 3.3GHz. The m4.large features 2.4GHz Intel Xeon Haswell CPU, which AWS markets as being “optimized for EC2.” While the t2.large features burstable compute, the m4.large has a cap of 6.5 units.

Both the instances feature the same amount of memory and both require the provisioning of AWS EBS volumes. As far as cost management goes, users should be ready to also account for the spending on EBS when using either the t2.large or the m4.large. If storage access speed is a big deal, it is very significant to note that the m4.large features EBS optimization.

The Catch

As media sites require heavy storage and high bandwidth, m4.large are a better fit. Because, m4.large has a dedicated EBS bandwidth of 450 Mbps.

In brief, m4.large instances are the latest generation of General Purpose Instances from AWS EC2. They provide a balance of compute, memory, and network resources, and it is a good choice for many applications. Like the AWS EC2 site states, the m4 family is “great for many web server applications and other general uses. Plus, it’s EBS-optimized offering comes by default, at no additional cost.

Here’re some useful scenarios of m4 instances in general and m4.large in particular:

  • Small and mid-size databases
  • Data processing tasks that require additional memory
  • Caching fleets
  • Running backend servers for SAP, Microsoft SharePoint, cluster computing, and other enterprise applications.

The Bottomline

Now that you have understanding of the capabilities of t2.large and m4.large instances and the price comparison, the next step would be to firm the decision. Botmetric can help you optimize your instance purchase and usage decisions. To know more about how m4.large is a better option for your requirements, get in touch us.

At Botmetric, we provide intelligent analysis of your requirements, suggest ways and means to optimize instances, and get you going with your instances. No more discussions and researches on which instance to choose and how to maximize the potential of your cloud infrastructure! Talk to our experts and leverage our expertise. support@botmetric.com; and very much social: Twitter, Facebook, or LinkedIn.

Introducing EC2 Cost Analysis in New Botmetric: A Game Plan to Optimize AWS Spend

Elastic Cloud Compute (EC2) is one of the most popular services of AWS and used by almost every Amazon cloud customer. And, in general,  EC2 usage accounts for 70 to 75% of AWS bill for an average AWS user. Moreover, most of the underlying services like EBS, EIP, ELB, NAT, etc. are used in conjunction with EC2 service for deploying applications on AWS cloud.

So, several unique EC2-related line items can show up on your AWS bill, which will further make it even more difficult to comprehend what’s driving all that spending.  A high-level view of the spend will not suffice. Because of this, it is critical to analyze EC2 usage and its spend breakdown by various dimensions like resource, instance type, services, accounts, and more while optimizing AWS costs.

To cater to this need and help our customers understand their AWS EC2 spend easily and efficiently, we have introduced the support for “EC2 Cost Analysis” in the ‘All-New’ Botmetric platform as part of its Cost Management and Governance’ Analyze feature.

Here’re the top features that the new Botmetric EC2 Cost Analysis offers:

1. Know your EC2 spend by instance type: You can quickly drill down and understand your total EC2 cost on AWS cloud split across different EC2 instance families. You can filter this further by various AWS accounts.


EC2 Cost Breakdown by instance type


2. EC2 cost breakdown by sub services: We have brought together the cost of EBS, EIP, ELB, Data Transfer, NAT Gateway under EC2 cost analysis module so you can easily see what is your mix of total spend across various EC2 related services. You can filter this cost further for any AWS account or month so you can drill into specific details. We also encourage you to drill down this analysis for a particular instance family.


EC2 cost breakdown by sub services


3. EC2 cost breakdown across different AWS accounts: You can split the EC2 cost across different AWS accounts in your master payer account so you can categorize them based on your usage.  


EC2 cost across different AWS account


4. Data export in CSV: We allow you to export different breakdown of EC2 cost into CSV file so you can use it for any internal analysis. The data export option allows you to see the cost breakdown by instance types, AWS accounts, related services, specific EC2 resources, etc.


Export data in CSV

You can access this feature in Botmetric Cloud Management Platform under Cost & Governance application in the Analyze Module. Please write to us with your feedback on what we can do better and where we can improve it further.

If you want to know some of the AWS EC2 cost saving tips that pro AWS users follow, read this Botmetric blog post. And if you want to know what are the other new features available in the new release of Botmetric, then take an exclusive 14-day trial or read the expert blog post by Botmetric Customer Success Manager, Richa Nath. Until our next blog post, do stay tuned with us on Twitter, Facebook, and  LinkedIn for other interesting news from us! 

AWS FinOps For Cloud Cost Optimization And Ops Efficiency

Optimizing cloud costs with AWS FinOps has been in trend among the cloud practitioners, past few years. Organizations of all sizes are relying on the unbeatable compute capacity of AWS (EC2).

Enterprises prefer to harness the potentials of AWS EC2 instances and take their services to get highly accessible, safe, and yielding functional applications. 

No doubt AWS has highly efficient solutions for enterprises. But it requires exceptional set of skills to give most favorable solutions to traditional on-premises or hosting services. Organizations have keenly embraced DevOps and infrastructure as code methodologies, but more users are trying hard to develop new cloud explicit skills. One such successful attempt is AWS FinOps. It is a design which offers management of cloud domains to carry out highest likely hit for your cash. And EC2 is the main focus for AWS FinOps.

What is AWS FinOps?

FinOps on AWS Cloud is a cost optimization service that helps businesses manage their costs effectively. With SaaS products like Botmetric, that provide FinOps and proactive cloud cost management solutions, businesses can easily track, monitor, forecast and optimize their cloud costs.

As per the AWS FinOps cost optimization service, Botmetric delivers the following cost saving options.

Advanced Cost Explorer

With Botmetric Advanced Cost Explorer, businesses get a detailed view of the total spend across their AWS accounts. User can view the resource usage in detail, and eliminate the wasteful spendings. Botmetric gives granular insights into the overall resource usage. Users can extract reports for all the insights and keep a track of their spend on cloud.

Botmetric AWS Advanced Cost Explorer

Cost Optimizer

Botmetric Cost Optimizer helps user get a detailed view of the total spending according to AWS services used. It recommends smart cost optimization opportunities by providing a detailed view of the resources used/unused so far, along with potential saving recommendations.

Cost Optimizer

Cost Projection

AWS FinOps aims at helping users leverage the cloud for more profit. Botmetric aims to help customers get the most of their cloud with more savings on the way! To further help customers optimize their cloud costs, Botmetric Cost Projection option predicts and estimates AWS Costs on monthly/yearly basis based upon the current/past spend. Customers can see on-demand cost projections of last 9 month and can compare the spend with current month’s spend. This is helping customers plan their cloud budget stratagem, productively.

Cost Allocation

It helps users to track and categorize the cloud costs aggregated by tags used. By following tagging best practices, users can keep their cloud bill under control and avoid sudden cost spikes at the time of AWS Billing.

Apart from these, Botmetric RI Planner for EC2 / RDS, and RI Planner for Unused Resources helps customers easily plan their reserved instances intelligently and eliminate wastes.

RI Utlization

Simply by modifying the unused resources, businesses can further save by more than 33%.

As an AWS FinOps best practice, customers should automate the start/stop of EC2 instances for weekends/Sundays or any of the non-operational days, which will help them reduce their cloud bill considerably. Also, by using AWS plugged services like Lambda, DynamoDB, SQS, etc., users get to pay-only for-what-they-use.

To further save, designing for serverless architecture will help in effective cost optimization in the long run.Businesses should also keep a track of any change in their cloud infrastructure. Changes like launching any new resource, modifying/terminating any underused/unused resource, sudden cost spikes, security checklists, governance policies should be in-line.

Should enterprises rely of FinOps?

As per guidelines given in Rule 1022 and various FINRA notices, FinOp is accountable for:

The accuracy and sanction of financial reports submitted to any suitably recognized securities industry regulatory body.

Absolute preparation of financial reports.

Management of those who lend a hand in the preparation of financial reports.

Management of persons involved in the definite preservation of the enterprise’s data and records, from which financial reports are made.

Management and/or performance of the broker-dealer everyday jobs under all financial responsibility rules propagated pursuant to the provisions of the Securities Exchange Act of 1934 (Exchange Act).

By and large administration of those who are involved in the supervision and maintenance of the back office functions, and

Any other issue involving the enterprise’s economic and operational control.

This clarifies that a FinOps is much more than just managing and maintaining the finances of an enterprise. Therefore, it is necessary for every organization using cloud to understand FinOps. Using AWS FinOps, any business can manage their data and records and get to know where their data and records are kept and by whom.

Thus, FinOps is a tedious yet essential cost saving exercise. Botmetric can help. Take up a 14-day trial to learn how Botmetric can help in saving costs on cloud, intelligently.

So, have you been utilizing AWS FinOps for your infrastructure on Cloud? Tweet To Us.

Automating on AWS Cloud- The DevOps Way

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 in 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.

Take up a 14-day free trial to learn how Botmetric in your AWS Cloud infrastructure can simplify your Cloud automation tasks 10x faster.

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 for you 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.