Tag: Top 5 Cloud companies

Amazon SNS Pricing Guide

Amazon Simple Notification Service (SNS) is a versatile messaging service that allows you to send notifications and alerts to a large number of subscribers through various channels such as SMS, email, and HTTP endpoints. While Amazon SNS is widely praised for its reliability and scalability, understanding its pricing model is crucial for effectively managing your cloud costs. This article delves into Amazon SNS pricing, helping you grasp how much you might spend on this service and how to optimize your usage.

What is Amazon SNS?

Amazon SNS is a fully managed messaging service that enables you to decouple microservices, distribute messages to a large number of subscribers, and integrate with other AWS services seamlessly. It supports multiple communication protocols, including:

  • SMS: Send text messages to mobile devices.
  • Email: Deliver messages via email.
  • HTTP/HTTPS: Send messages to endpoints that accept HTTP or HTTPS requests.
  • AWS Lambda: Trigger AWS Lambda functions for serverless processing.
  • Amazon SQS: Forward messages to Amazon Simple Queue Service (SQS) for further processing.

Amazon SNS Pricing Structure

Amazon SNS pricing is based on the type of notifications you send and the number of requests you make. Here’s a breakdown of the pricing model:

1. Request Charges

Amazon SNS charges you based on the number of publish, delivery, and subscription requests. For example, if you publish a message to a topic, you are charged for the publish request. Similarly, you are charged for delivering messages to subscribers or adding subscribers to topics.

  • Publish requests: $0.50 per million requests.
  • Delivery requests: Costs vary depending on the protocol (HTTP/HTTPS, SMS, email, etc.).

2. Message Delivery Charges

The cost of delivering messages varies depending on the protocol and region. Here’s a closer look:

  • HTTP/HTTPS: $0.60 per million deliveries.
  • Email: Free for the first 1,000 deliveries per month, then $2.00 per 100,000 deliveries.
  • SMS: Pricing varies by destination country. For example, sending SMS messages to U.S. phone numbers costs $0.00645 per message.

3. Data Transfer Charges

Data transfer costs apply when you send data out of AWS. In most cases, data transfer within the same region is free, but transferring data across regions or outside of AWS incurs additional charges.

  • Data transfer out to the internet: $0.09 per GB (first GB is free each month).
  • Data transfer within AWS regions: Free up to 1 GB, then $0.02 per GB.

4. Additional Features and Costs

Amazon SNS also offers additional features such as message archiving and delivery status logging, which may incur extra costs. For example:

  • Message Archiving: Store published messages in Amazon S3 for archival and auditing purposes.
  • Delivery Status Logging: Track the delivery status of messages sent via SMS and other protocols.

Cost Optimization Tips for Amazon SNS

While Amazon SNS is generally cost-effective, there are strategies to further optimize your spending:

  1. Use the Free Tier Wisely: Amazon SNS offers a free tier with up to 1 million publishes, 1,000 email deliveries, and 100 SMS deliveries per month. Leverage this to minimize costs during development or for low-volume applications.
  2. Monitor and Optimize SMS Usage: SMS costs can quickly add up, especially if you’re sending messages internationally. Consider using email or push notifications where applicable to reduce SMS expenditures.
  3. Consolidate Topics and Subscribers: Instead of creating multiple topics, consider consolidating them to reduce the number of publish requests. Additionally, clean up inactive or redundant subscribers to avoid unnecessary delivery charges.
  4. Leverage Regional Data Transfer: Whenever possible, keep data transfers within the same AWS region to avoid cross-region data transfer fees.
  5. Use Amazon CloudWatch: Monitor your SNS usage and costs using Amazon CloudWatch. Set up alarms to notify you of unexpected spikes in usage, helping you stay within budget.

Conclusion

Amazon SNS pricing is flexible and based on your actual usage, making it a cost-effective solution for various messaging needs. By understanding the pricing structure and implementing cost-saving strategies, you can effectively manage your SNS costs while leveraging the full power of this robust messaging service. Whether you’re sending alerts to a few users or broadcasting messages to millions, Amazon SNS offers the scalability and reliability you need—just be sure to keep an eye on your costs as your usage grows.

For those seeking more details, the AWS pricing page for Amazon SNS provides a full breakdown of all costs associated with the service.

Introduction to what is cloud computing ?

Introduction to what is cloud computing ?

Introduction

The term “Cloud Computing” has been one of the most popular buzzwords in the technology industry for over a decade now. It has changed the way we think about computing and has revolutionized the way businesses operate. But what exactly is cloud computing? In simple terms, cloud computing is the delivery of computing services, including servers, storage, databases, networking, software, analytics, and more, over the internet. In this article, we will delve deeper into the world of cloud computing and explore its different aspects.

What is Cloud Computing?

Cloud computing is the delivery of on-demand computing services, which include software, storage, and processing power, over the internet. Instead of owning and maintaining physical servers, businesses can use the resources of a third-party provider, who maintains the infrastructure and provides access to it via the internet.

The three main types of cloud computing are:

  1. Infrastructure as a Service (IaaS): In this model, cloud providers offer virtualized computing resources over the internet. IaaS includes virtual machines, storage, and networking.
  2. Platform as a Service (PaaS): PaaS provides a platform for developers to build, deploy, and manage applications. PaaS includes tools and services for application development, such as databases, operating systems, and programming languages.
  3. Software as a Service (SaaS): SaaS provides access to software applications over the internet. This eliminates the need for businesses to install and maintain software on their own computers. Examples of SaaS include Salesforce, Dropbox, and Google Apps.

Benefits of Cloud Computing

Cloud computing offers many benefits to businesses, including:

  1. Scalability: Cloud computing allows businesses to easily scale their resources up or down as needed. This means that businesses can quickly respond to changing demand without having to invest in expensive hardware.
  2. Cost Savings: Cloud computing eliminates the need for businesses to invest in expensive hardware and infrastructure. Instead, businesses can pay for the resources they use on a subscription basis, which can result in significant cost savings.
  3. Flexibility: Cloud computing allows businesses to access their data and applications from anywhere in the world, as long as they have an internet connection. This means that employees can work from anywhere, which can improve productivity and work-life balance.
  4. Security: Cloud providers invest heavily in security measures to protect their infrastructure and data. This means that businesses can benefit from enterprise-grade security measures without having to invest in expensive hardware and software.
  5. Disaster Recovery: Cloud computing providers offer disaster recovery solutions, which can help businesses recover quickly in the event of a disaster. This is because cloud providers store data in multiple locations, which ensures that businesses can access their data even if one location goes down.

Challenges of Cloud Computing

While cloud computing offers many benefits, there are also some challenges that businesses need to consider, including:

  1. Security Concerns: While cloud providers invest heavily in security measures, there is always a risk of data breaches and cyber-attacks. This is because businesses are entrusting their data to a third-party provider, which can be a target for hackers.
  2. Data Control: Cloud providers have control over the infrastructure and data that they host. This means that businesses may have limited control over their data and may need to rely on their provider to manage it.
  3. Integration Challenges: Integrating cloud-based solutions with existing on-premise solutions can be challenging. This is because cloud solutions are often designed to work independently, which can create issues when integrating with other systems.
  4. Dependence on the Internet: Cloud computing relies heavily on the internet, which means that businesses need to have a reliable internet connection to access their data and applications. This can be an issue in areas with poor internet connectivity.
  5. Vendor Lock-In: Cloud providers often use proprietary technologies, which can make it

Complete Defination of IP address management in Google Kubernetes Engine

Complete Defination IP address management in Google Kubernetes Engine

About giving out IP addresses, Kubernetes has a flexible and request issue. On the graceful side, associations are coming up short on IP addresses, due to enormous on-premises systems and multi-cloud arrangements that utilization RFC1918 addresses (address allotment for private webs). On the interesting side, Kubernetes assets, for example, units, hubs, and administrations each require an IP address. This flexibly and request challenge has prompted worries of IP address weariness while conveying Kubernetes. Furthermore, dealing with these IP addresses includes a ton of overhead, particularly in situations where the group overseeing cloud design is unique about the group dealing with the on-prem organization. For this situation, the cloud group frequently needs to haggle with the on-prem group to make sure about unused IP squares.

Doubtlessly that overseeing IP addresses in a Kubernetes domain can be testing. While there’s no silver slug for fathoming IP fatigue, Google Kubernetes Engine (GOOGLE KUBERNETES ENGINE) offers approaches to take care of or work around this issue.

For instance, Google Cloud accomplice NetApp depends intensely on GOOGLE KUBERNETES ENGINE and its IP address the executive’s abilities for clients of its Cloud Volumes Service document administration.

“NetApp’s Cloud Volumes Service is an adaptable, versatile, cloud-local record administration for our clients,” said Rajesh Rajaraman, Senior Technical Director at NetApp. “GOOGLE KUBERNETES ENGINE gives us the adaptability to exploit non-RFC IP locations and we can offer versatile types of assistance flawlessly without approaching our clients for extra IPs,” Google Cloud and GOOGLE KUBERNETES ENGINE empower us to make a protected SaaS offering and scale nearby our clients.”

Since IP tending to in itself is a fairly intricate point and the subject of numerous books and web articles, this blog expects you to know about the essentials of IP tending to. So right away, how about we investigate how IP tending to functions in GOOGLE KUBERNETES ENGINE, some normal IP tending to issues, and GOOGLE KUBERNETES ENGINE highlights to assist you with fathoming them. The methodology you take will rely upon your association, your utilization cases, applications, ranges of abilities, and whether there’s an IP Address Management (IPAM) arrangement set up.

The IP address the executives in GOOGLE KUBERNETES ENGINE

GOOGLE KUBERNETES ENGINE uses the fundamental GCP design for IP address the executives, making groups inside a VPC subnet and making optional extents for Pods (i.e., unit range) and administrations (administration go) inside that subnet. The client can give the reaches to GOOGLE KUBERNETES ENGINE while making the bunch or let GOOGLE KUBERNETES ENGINE make them consequently. IP addresses for the hubs originate from the IP CIDR allocated to the subnet related to the bunch. The case extends allotted to a group is separated into numerous sub-ranges—one for every hub. At the point when another hub is added to the group, GCP naturally picks a sub-run from the case extend and doles out it to the hub. At the point when new cases are propelled on this hub, Kubernetes chooses a unit IP from the sub-run assigned to the hub. This can be envisioned as follows:

Provisioning adaptability

In GOOGLE KUBERNETES ENGINE, you can acquire this IP CIDR either in one of two different ways: by characterizing a subnet and afterward planning it to the GOOGLE KUBERNETES ENGINE bunch, or via auto-mode where you let GOOGLE KUBERNETES ENGINE pick a square consequently from the particular locale.

In case you’re simply beginning, run only on Google Cloud and would simply like Google Cloud to do IP address the executives for your sake, we suggest auto-mode. Then again, if you have a multi-domain arrangement, have various VPCs and might want authority over IP the board in GOOGLE KUBERNETES ENGINE, we suggest utilizing custom-mode, where you can physically characterize the CIDRs that GOOGLE KUBERNETES ENGINE bunches use.

Adaptable Pod CIDR usefulness

Next, how about we see IP address distribution for Pods. As a matter of course, Kubernetes relegates a/24 subnet veil on a for each hub reason for the Pod IP task. Be that as it may, over 95% of GOOGLE KUBERNETES ENGINE bunches are made without any than 30 Pods for every hub. Given this low Pod thickness per hub, designating a/24 CIDR to hinder each Pod is a misuse of IP addresses. For a huge bunch with numerous hubs, this waste gets intensified over all the hubs in the group. This can incredibly intensify IP usage.

With Flexible Pod CIDR usefulness, you can characterize Pod thickness per Node and in this manner utilize fewer IP squares per hub. This setting is accessible on a for each Node-pool premise, so that on the off chance that tomorrow the Pod thickness changes, at that point you can make another Node pool and characterize a higher Pod thickness. This can either assist you with fitting more Nodes for a given Pod CIDR extend, or assign a littler CIDR to run for a similar number of Nodes, in this way enhancing the IP address space used in the general system for GOOGLE KUBERNETES ENGINE bunches.

The Flexible Pod CIDR highlight assists with making GOOGLE KUBERNETES ENGINE bunch size more fungible and is as often as possible utilized in three circumstances:

For half breed Kubernetes organizations, you can abstain from appointing an enormous CIDR square to a group, since that improves the probability of cover with your on-prem IP address the executives. The default measuring can likewise cause IP fatigue.

To relieve IP fatigue – If you have a little group, you can utilize this component to plan your bunch size to the size of your Pods and in this way safeguard IPs.

For adaptability in controlling bunch sizes: You can tune the group size of your arrangements by utilizing a blend of holder address go and adaptable CIDR squares. Adaptable CIDR squares give both of you boundaries to control bunch size: you can keep on utilizing your compartment address go space, in this way saving your IPs, while simultaneously expanding your group size. On the other hand, you can diminish the compartment address extend (utilize a littler range) and still keep the bunch size the equivalent.

Renewing IP stock

Another approach to comprehend IP fatigue issues is to renew the IP stock. For clients who come up short on RFC 1918 locations, you would now be able to utilize two new kinds of IP squares:

Held tends to that are not RFC 1918

Secretly utilized Public IPs (PUPIs), as of now in beta

How about we investigate.

Non-RFC 1918 saved locations

For clients who have an IP lack, GCP included help for extra held CIDR ranges that are outside the RFC 1918 territory. From a usefulness viewpoint, these are dealt with like RFC1918 addresses and are traded as a matter of course over peering. You can send these in both private and open groups. Since these are held, they are not publicized over the web, and when you utilize such a location, the traffic remains inside your group and VPC organizes. The biggest square accessible is a/4 which is an exceptionally huge square.

Secretly utilized Public IPs (PUPI)

Like non-RFC 1918 saved locations, with PUPIs, you can utilize any Public IP, aside from Google claimed Public IPs on GOOGLE KUBERNETES ENGINE. These IPs are not publicized to the web.

To take a model, envision you need more IP locations and you utilize the accompanying IP run secretly A.B.C.0/24. On the off chance that this range is claimed by a Service MiscellaneousPublicAPIservice.com, gadgets in your directing space will not, at this point have the option to reach MiscellaneousPublicAPIservice.com and will rather be steered to your Private administrations that are utilizing those IP addresses.

This is the reason there are some broad rules when utilizing PUPIs. pupils are given higher need over genuine IPs on the web since they have a place inside the client’s VPC and along these lines, their traffic doesn’t go outside of the VPC. Therefore, when utilizing PUPIs, it’s ideal to guarantee you are choosing IP goes that you are certain won’t be gotten to by any inside administrations.

Additionally, pupils have an extraordinary property in that they can be specifically traded and imported over VPC Peering. With this capacity, a client can have to send with numerous groups in various VPCs and reuse the equivalent PUPIs for Pod IPs.

On the off chance that the groups need to speak with one another, at that point you can make a service type load balancer with Internal LB explanation. At that point just these Services VIPs can be publicized to the companion, permitting you to reuse PUPIs across groups and simultaneously guaranteeing availability between the bunches.

The above works for your condition whether you are running absolutely on GCP or on the off chance that you run in a half and half condition. On the off chance that you are running a crossbreed condition, there are different arrangements where you can make islands of bunches in various situations by utilizing covering IPs and afterward utilize a NAT or intermediary answer to associate the various situations.

The IP tends to you need

IP address fatigue is a difficult issue with no simple fixes. In any case, by permitting you to deftly relegate CIDR squares and recharge your IP stock, GOOGLE KUBERNETES ENGINE guarantees that you have the assets you have to run.

The revolution journey of gaming to Cloud computing

Where everything is running on open interest, by what means can gaming fall behind in the race? The future has a place with gaming on-request or accurately cloud gaming. Such sort of internet gaming runs games on remote servers and streams them legitimately to the client’s gadget.

Starting in 2019, the declaration made by Google concerning Stadia expanded the buzz around the market for cloud gaming.

What is Google Stadia?

Stadia is a cloud gaming administration worked by tech monster Google which is promoted to be fit for spilling computer games up to 4k goals at 60 casings for every second. The administration is open through the Google Chrome internet browser on work areas PCs or cell phones and different gadgets. Clients can likewise get to stadia games through computerized media players and Chromecast.

Features of Stadia

  • • Does not require extra PC equipment
  • • Only requires the gadget to have an Internet association and backing for Google Chrome
  • • The administration of stadia works on YouTube’s usefulness in gushing media to the client
  • • Stadia likewise underpins the gushing of games in HDR at 60 casings for every second with 4K goals and envisions in the long run arriving at 120 edges for each second at 8K goals.
  • • Players can begin games without downloading new substance to their gadget
  • • Also, they can select to record or stream their meetings onto YouTube through Stadia
  • • Viewers of such streams can dispatch the games legitimately from the stream with a similar spare express that they were simply viewing.

Cloud Gaming Challenges that Prevailed in 2019 

As per the measurements, the worldwide cloud gaming market is relied upon to develop at a pace of 42 percent between 2019-2025 to arrive at the characteristic of US$740 million. 

The idea of cloud gaming significantly reliant on the cloud and network which without a doubt has progressed in past years however some tech hindrances are yet to defeat in this field. 

As it stands now, the hugest hindrance for cloud gaming is that it stills comes up short on the foundation and emotionally supportive networks for the administrations. 

As clarified by an IT columnist Arti Loftus, “When playing on a PC or support, for instance, all the information preparing, illustrations, and video rendering are completely done locally, making any inactivity issues unnoticeable. Game gushing administrations, be that as it may, work on a brought together cloud which makes slack for gamers as they are geologically scattered and frequently situated far away from the datacentres facilitating the titles they need to play.” 

This situation fills in as a major issue for cloud gaming uniquely with multiplayer games and eSports. 

Be that as it may, it is normal that as the innovation will progress further it opens the new entryway for cloud gaming administrations to prosper and relieve the difficulties related to it. 

Top Cloud Gaming Services 2019 

Shadow 

The amazing highlights of Shadow permit the client to have a committed cloud gaming PC to himself as opposed to buying into a mutual cloud gaming machine where numerous clients are pulling from a similar pool of assets. Through this seclusion, Shadow improves its capacity to convey a progressively liquid experience that doesn’t depend on poor game spilling execution during top hours. 

GeForce Now 

Even though GeForce Now hasn’t been completely discharged by Nvidia, some critical characteristics are available in its beta structure. Other than console and mouse support, GeForce Now stages likewise acknowledges the DualShock 4, Xbox One controller, Xbox 360 controller, and Logitech Gamepad F310, F510, and F710. Besides, it is bolstered by voice talk over on PC and Mac upheld frameworks. 

It is foreseen that its exhibition highlights are the superstar yet what innovation and force the organization is utilizing are not satisfactory. Individuals are into an estimated game that Nvidia is utilizing “ultra-gushing mode,” which gives 4K gaming at up to 60fps. 

Blacknut 

It is significantly a family-engaged cloud gaming administration that offers a family plan that permits clients to play all the while on four screens. Also, Blacknut offers a couple of family includes, beginning with a children’s mode. This gaming administration permits clients to keep numerous profiles, and each of those can have children mode empowered. 

Blacknut additionally has a critical similarity highlight which is bolstered by pretty much everything, with applications for Windows, macOS, Amazon Fire TV, Android, Linux, and select TVs from Panasonic and Samsung. Blacknut’s controller support is additionally imperative.

why Indian business are migrating to cloud due to new datasets?

The information has consistently been a foundation for associations, regardless of whether it is enormous or little. What’s more, moving this is one of the unpredictable pieces of cloud relocation. In India, little to huge associations and tech new businesses have begun moving towards cloud framework and this is completely done by more current arrangements of information which is driven by reasonable web duties and massive development in purchaser web stages. This relocation to distributed computing assets is commonly coming to pass for to store, process, and break down information to more readily serve clients.

As per Navdeep Manaktala, executive and head of advanced local (new company, AWS India, B2B organizations have done an enormous measure of preparation for manufacturing organizations that are as huge in scale as the B2C new companies. “The greater part of the B2B new companies on AWS has been on the cloud since the very beginning of their tasks. We term them as cloud-local organizations, where they are conceived in the cloud and worked off the cloud, and afterward, you have the other arrangement of organizations who are currently beginning to relocate to the cloud,” Navdeep said uninvolved of the AWS yearly engineer meeting in Las Vegas.

Talking about substance conveyance systems (CDNs) administration becoming possibly the most important factor in India, he said that “A CDN is commonly utilized when you need a lot of substance to be conveyed to the end client without being put away on the open web.” According to him, all the media and gushing new businesses utilize CDNs because they don’t need video substance to be put away and played out totally over the web, as there will be availability issues on end gadgets. Gaming new companies and even B2B new businesses taking into account customers in the learning the board frameworks (LMS) space additionally have begun to use CDNs to work around content conveyance in inconsistent systems, Navdeep referenced.

Amazon Web Services (AWS) has 188 purposes of essence (PoPs) over the globe for the CDN activities and 17 of these are present in India, which is the biggest CDN nearness outside the US advertise.

AWS is additionally completing a few things to comprehend the lack of information researcher ability, said Navdeep. “For use cases, for example, content to discourse, ASR, NLP, conclusion examination, we have pre-prepared models accessible. Along these lines, you truly needn’t bother with an information researcher to fabricate the model because the information model is now accessible from AWS. For instance, we have made accessible pre-prepared models for determining, for suggestion motors. The subsequent way is that we are likewise adding information science ability to our groups. What we do is give information researchers to our clients on request. These are experts who will work with customers intently and we are now doing this in India with a lot of clients.”

In July 2019, Navdeep said that India is a key market for AWS, which is appeared by a portion of the ongoing ventures that the organization made in the nation. AWS has its biggest impression in India outside of the US and this is demonstrative of the huge scope venture appropriation in this topography.