It’s no secret that many people love keeping fish as pets. Not only are they low-maintenance, but they’re also incredibly calming to have around the house. That said, taking care of a fish tank is not as easy as it looks. In addition to regularly cleaning the tank and changing the water, you also need to make sure the water is properly treated. This is where aquarium water treatments come in.
If you’re looking for the best aquarium water treatments of 2021, look no further. We’ve rounded up the 10 best options on the market, so you can find the perfect one for your needs.
API stands for application programming interface. It is a set of subroutine definitions, protocols, and tools for building software and applications.
An application programming interface (API) is a set of subroutine definitions, protocols, and tools for building software and applications. An API specifies how software components should interact and APIs are used when programming graphical user interfaces (GUIs). A good API makes it easier to develop a program by providing all the building blocks, which are then put together by the programmer.
APIs are also used to access web-based services. For example, Amazon provides a set of web services that provide prices for products sold on Amazon.com. These web services use APIs to access Amazon’s product data.
The term API is sometimes used in reference to the interface between an operating system and applications that run on that system. In this case, the API defines how the operating system services are exposed to applications. For example, the Windows API defines how Windows services are accessed by applications.
Amazon Simple Storage Service (S3)
Amazon Simple Storage Service (S3) is one of the most popular cloud storage options available today. With S3, you can store and retrieve any amount of data from anywhere in the world, at any time, on any device. And because it’s a managed service, you can rest easy knowing that your data is stored safely and securely.
There are many reasons to choose S3 as your cloud storage solution, but here are just a few:
1. Reliability and durability
With S3, your data is stored redundantly across multiple Availability Zones (AZs), so even if one AZ goes offline, your data will still be accessible from another. And because S3 is built on top of Amazon’s proven infrastructure, you can be confident that your data is safe and secure.
2. Flexibility and scalability
S3 is designed to scale seamlessly as your storage needs grow. There are no limits on the amount of data you can store in an S3 bucket, and you can easily add or remove buckets as needed.
S3 is one of the most cost-effective storage solutions available today. With S3’s pay-as-you-go pricing model, you only pay for the storage you use, making it an ideal solution for businesses of all sizes.
4. Security and compliance
S3 offers a number of features to help keep your data safe and secure, including server-side encryption, access control lists (ACLs), and Bucket Policies. And because S3 is certified by a number of compliance programs, including HIPAA/HITECH, PCI DSS, and FISMA, you can be confident that your data is being stored in a compliant manner.
5. Easy to use
S3 is designed to be easy to use, with a simple web-based interface that allows you to quickly upload, download, and manage your data. And because S3 integrates with a number of AWS services, such as Amazon Glacier and Amazon Elastic Compute Cloud (EC2), you can easily build sophisticated storage solutions without having to learn new technologies.
Amazon Elastic Compute Cloud (EC2)
Amazon Elastic Compute Cloud (EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios.
EC2 enables customers to launch virtual machines (VMs), which are also known as instances. Each instance is a copy of an operating system and can run applications just like any physical machine. An EC2 instance has two basic components:
An Amazon Machine Image (AMI), which contains all the software required to launch the instance, including the operating system and any additional applications
A instance type, which determines the CPU, memory, storage, and networking capacity of the instance
You can launch as many or as few instances as you need, at any time of day or night, and can terminate them when no longer needed. You pay only for the capacity that you use; there are no minimum commitments or upfront payments.
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need.
RDS is available on several database instance types – optimized for memory, performance or I/O – and provides you with six familiar database engines to choose from, including Amazon Aurora, MySQL, MariaDB, Oracle Database, PostgreSQL, and Microsoft SQL Server.
DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value data models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.
DynamoDB enables customers to offload the administrative burdens of operating and scaling distributed databases to AWS, so they don’t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. DynamoDB also provides comprehensive monitoring and logging capabilities so that customers can view and analyze performance trends to determine whether their DynamoDB table is operating as expected.
DynamoDB is a cost-effective solution because it automatically scales throughput capacity and storage utilization in response to customer traffic and application load. There are no upfront costs or minimum fees, and customers only pay for the resources they use.
DynamoDB integrates with popular AWS services such as Lambda, Amazon S3, Amazon Kinesis Streams, and Amazon Cognito to build complete solutions without having to provision or manage any other AWS resources.
Amazon ElastiCache is a fast, reliable and scalable in-memory data store that can be used to improve the performance of web applications by retrieving information from a fast, managed in-memory system instead of relying on slower disk-based databases. Amazon ElastiCache is simple to set up, operate and scale, making it a popular choice for web applications that require high performance.
A key advantage of using Amazon ElastiCache is that it can significantly improve the response times of web applications by storing frequently accessed data in memory for low-latency access. Amazon ElastiCache also makes it easy to scale web applications by allowing users to add or remove capacity as needed.
If you’re looking for a fast, reliable data warehouse that can scale to accommodate your growing business, Amazon Redshift is a great option. It’s easy to set up and manage, and it integrates seamlessly with other Amazon Web Services products. We’ve been using Redshift for about a year now, and we’re very happy with it.
The biggest benefit of Redshift is its speed. Queries that used to take minutes or even hours to run now execute in seconds or less. This has been a huge time-saver for our team, and has allowed us to do more complex analysis than we ever could before. Redshift is also very stable and reliable. We haven’t had any major issues with it, and the few times we’ve needed support, Amazon’s customer service has been excellent.
Another big plus is that Redshift integrates seamlessly with other Amazon products, which makes it easy to set up and manage. We use S3 for storage, so it was simple to connect Redshift to our existing S3 buckets. We also use Data Pipeline to ETL our data from MySQL into Redshift, which has been working well. Overall, we’re very happy with Amazon Redshift and would recommend it to anyone looking for a fast, reliable data warehouse solution.
Amazon Simple Queue Service (SQS)
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware, and provides developers with a simple way to integrate messaging capabilities into their applications.
With SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be always available. SQS makes it easy to build an automated workflow, working in close concert with the other AWS services, that can coordinate the receipt and processing of inbound messages, and send messages in other systems when they are needed.
You can use SQS to transmit any volume of data, without losing messages or requiring other services to be always available. Amazon SQS is a managed message queue service that supports both standard and first-in-first-out (FIFO) message queues. Standard queues offer best-effort ordering which ensures that messages are generally delivered in the order in which they are sent but does not guarantee it. FIFO queues support strict ordering which means that messages are delivered exactly once, and in the exact order that they are sent.
Amazon Simple Workflow Service (SWF)
Amazon Simple Workflow Service (SWF) is a web service that makes it easy to coordinate work across distributed application components.
SWF enables applications to break up a workflow into smaller parts, each of which can be performed by a different component or service in your application. This makes it easy to scale your application as needed, and also makes it easier to modify or redesign workflows as your business needs change.
SWF monitors the progress of each step in the workflow and retries steps as necessary to ensure that the workflow completes successfully, even if individual components fail. This makes it easy to build reliable applications without having to worry about the underlying infrastructure.
To get started with SWF, you create a workflow definition that specifies the steps in your workflow and what actions should be taken for each of those steps. You then register this workflow definition with SWF, and create an Amazon SWF workflow client in your application.
The workflow client uses the Amazon SWF API to start a new workflow execution and then periodically polls Amazon SWF to check on the status of the workflow. When a task is assigned to the workflow client, it carries out that task and reports back the results to Amazon SWF.
Amazon SWF handles all of the underlying coordination of tasks across your application components, so that you don’t have to write any custom code to do this yourself. This lets you focus on business logic instead of infrastructure concerns.
Amazon Simple Workflow Service (SWF) is a great way to coordinate work across distributed application components. It makes it easy to scale your application as needed, and also makes it easier to modify or redesign workflows as your business needs change. SWF also monitors the progress of each step in the workflow and retries steps as necessary to ensure that the workflow completes successfully, even if individual components fail. This makes it easy to build reliable applications without having to worry about the underlying infrastructure.
Amazon CloudFront is a content delivery network (CDN) offered by Amazon Web Services. It integrates with other Amazon Web Services products to give developers and businesses an easy way to distribute content to end users with low latency, high data transfer speeds, and no commitments.
CloudFront is designed to work with other Amazon Web Services products, including Amazon Simple Storage Service (S3), Amazon Elastic Compute Cloud (EC2), Amazon Elastic Load Balancing, and Amazon Route 53. Amazon CloudFront can also be used to deliver content from other non-AWS origins, such as your own web server or an on-premises server.
With CloudFront, you can set up a distribution to distribute your content globally with low latency and high data transfer speeds. A distribution is an association of a collection of resources with an Amazon CloudFront web distribution. When you create a distribution, you specify the following:
• The origin from which you want CloudFront to get your files: This can be an Amazon S3 bucket, an Amazon EC2 instance, an Elastic Load Balancing load balancer, or another HTTP server. If you want to use CloudFront with an S3 bucket that is configured as a website endpoint, you must specify the website endpoint as the origin.
• One or more cache behaviors: Each cache behavior specifies how CloudFront handles requests for different types of files. For example, you can configure one cache behavior to compress files and another cache behavior not to compress files. You can also specify the maximum amount of time that you want CloudFront to cache files before fetching new versions from the origin.
• The default cache behavior: This is the cache behavior that CloudFront uses when a request does not match any of the other cache behaviors that you specify. If you don’t specify a default cache behavior, Cloudront uses the defaultcache behavior that is defined in your IAM user policy.
• An optional SSL certificate: You can use an SSL certificate from AWS Certificate Manager (ACM) to serve your content over HTTPS. Alternatively, you can use a third-party SSL certificate. If you’re using a third-party SSL certificate, you must also specify the applicable Certificate Authority Bundle (CAB). For more information about ACM and CABs, see Using Alternate Domain Names and HTTPS in the Amazon CloudFront Developer Guide.
• One or more custom error responses: You can configure CloudFront to return custom error responses for specific HTTP status codes. For example, you might want to return a custom error page when someone requests a file that doesn’t exist.
After you create a distribution, CloudFront assigns it a domain name, such as d111111abcdef8.cloudfront.net. You can use this domain name to access your content through the CloudFront network. For example, if you’re distributing images, you can use the domain name in the src attribute of an tag so that browsers can load the images directly from CloudFront rather than from your origin server.