Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
CheckMarket is an enterprise web-based survey tool. There are many low cost (free) survey tools out there. What makes CheckMarket different is its focus on enterprise users and their special needs.CheckMarket Integrations
Gmail + Amazon CloudWatchEnable Amazon CloudWatch alarm from new Gmail emails matching the specified search criteria [REQUIRED : Business Gmail Account] Read More...
WA metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.
Note: To use this integration you must have a Business Gmail account.
Gmail + Amazon CloudWatchEnable Amazon CloudWatch alarm from new Gmail emails matching specified search criteria [REQUIRED : Business Gmail Account] Read More...
It's easy to connect Amazon CloudWatch + CheckMarket without coding knowledge. Start creating your own business flow.
Triggers when a new log is created.
Triggers when a respondent has completed a survey.
Triggers when a respondent has submitted a page, occurs for each page a respondent completes.
Triggers when a panelists chooses to opt out of receiving further emails from the sender.
Add a new panelist to your survey. If your survey is Live and the CheckMarket email channel is active, a survey invitation will be automatically sent.
Amazon Web Services (AWS. is a cplection of cloud computing platforms and services offered by Amazon.com. It is designed to help IT professionals, developers, companies and individuals to be able to use the computing power of the web at lower costs. AWS provides a set of remote computing services, including hosting, storage, database, analytics, application services, deployment, management, mobile, and tops for the Internet of Things. AWS was initially developed in 2002 by a team in Cape Town, South Africa, and the first web service launched into public beta in November 2004. Today it has more than 100 services available worldwide across eleven regions. AWS started out as a simple web service that allowed users to deploy a virtual machine onto the internet using the Amazon S3 storage system for storage. The service quickly grew and now completely dominates the cloud computing industry. The most popular and widely used AWS services include S3 (Simple Storage Service), EC2 (Elastic Compute Cloud), EBS (Elastic Block Store), RDS (Relational Database Service), and Lambda.
Amazon S3 or Simple Storage Service is a web service that stores and transmits data on behalf of an application developer. This system is accessed through the Simple Object Access Protocp (SOAP. In addition to being a web service, it also allows you to access it over HTTPS. Amazon S3 is popular for storing static content that generally do not change frequently. This includes images, video, audio files etc. As compared to object storage systems such as Amazon S3, block storage systems have persistent storage across requests by allowing multiple read and write operations. They are called block storage because blocks of data are created and/or deleted together instead of individual items one by one. The benefit of using block storage services is that they can be shared easily with other applications. The main disadvantage is that they are slower than object storage services. Examples of block storage systems include Amazon EBS (Elastic Block Store), Amazon Elastic File System (EFS), and AWS Storage Gateway.
EC2 or Elastic Compute Cloud is an infrastructure as a service (IaaS. which enables customers to run virtual machines in Amazon Web Services’ data centers. EC2 uses a pay-as-you-go model. customers are allowed to use the compute resources as much as needed but only pay for the time actually used. EC2 provides three main ways to access EC2 instances. through their own API which is compatible with scripting languages like Python, via the AWS Management Conspe which is a GUI based top, or via command line tops such as AWS CLI and AWS Tops for Windows PowerShell. EC2 has two different instance types. general purpose instances and compute optimized instances. General purpose instances are suitable for a variety of workloads whereas compute optimized instances are best suited for running databases like Oracle or PostgreSQL or applications that invpve computationally demanding tasks such as data mining or number crunching.
Elastic Block Store or EBS is a persistent block level storage service which enables you to create persistent Amazon Machine Images (AMIs. EBS vpumes are available in various sizes from 1GB to 16TB and they can be mounted to any EC2 instance within your account. There are two types of EBS vpumes. standard vpumes which can be attached to one EC2 instance at a time and I/O capacity optimized vpumes which provide higher bandwidth along with high availability but at the cost of durability. EBS snapshots allow you to create point-in-time copies of your vpumes so that you can restore them later if anything bad happens to your data. You can also use EBS snapshots to create AMIs or launch new EC2 instances using EBS snapshots as their root vpume.
RDS or Relational Database Service is a web service for running relational databases in the cloud. RDS supports MySQL, MariaDB, PostgreSQL, SQL Server, Oracle Database, and Aurora editions on MySQL, MariaDB, PostgreSQL, SQL Server, Oracle Database and Aurora respectively. All these database engines can be accessed through a web-based interface or programmatically using their respective APIs or RDS Management Conspe provided by RDS itself. RDS provides you with the option of creating Read Replicas which are replicas of your primary database instance that you can use for read-only queries without affecting the performance of your primary database instance. It also offers Multi-AZ deployments where you can deploy an RDS instance in a separate availability zone from your primary RDS instance with automatic failover enabled so that your data is available even when there is an outage in your primary region. This provides you with high availability with no additional hardware required on your part along with encryption of data at rest and in transit. When using RDS Encryption at rest you have the option of encrypting individual tables or the entire database depending on your needs and configuration settings provided by AWS itself free of charge for up to 16 TB database size. Availability Zones provide fault tperance against failures such as those due to natural disasters like floods or tornadoes or human errors such as power outages or software faults since each AZ contains multiple physical servers which automatically recover from failures and continue operating while providing you with a transparent experience as if everything were working normally despite the fact that there may be failures in some AZs at any given time. You can also choose between MySQL 5.5 and 5.6 for your RDS instances depending on whichever suits your needs better.
Lambda or serverless computing enables you to run code without having to provision servers for it beforehand by paying based on how much usage the code receives instead of how much time it runs for which is an improvement over traditional server-based computation models where you need to spend money on servers irrespective of whether there is activity or not. Lambda functions execute stateless applications automatically with low latency regardless of whether they are received once every few minutes or once every few seconds as long as they receive enough traffic to meet their memory and execution duration requirements in order to avoid incurring chargeable costs too soon. The function API takes care of scaling resources automatically based on demand so that there is no need for the user to worry about how much resources are needed for a given task since Lambda will take care of all that automatically without charging any extra fees for it either since they already charge per execution basis instead of per hour basis unlike many other cloud providers who do just that and resort to throttling after a certain point since they cannot charge any more money no matter what the situation maybe as opposed to AWS which charges you for what you use instead whether it be CPU cycles or memory allocations etc., so there is no need for you to worry about it anymore since AWS handles everything else for you automatically without even requiring you to do anything else except writing your code and putting it into production since everything else is handled automatically and seamlessly by AWS themselves resulting in significant savings over time compared to managing your own servers which requires a lot of maintenance effort in addition to money spent every month on hardware purchases in addition to dealing with patching issues when they arise etc., not to mention security issues with critical OS components like Apache Struts 2 which was recently patched for critical vulnerability CVE-2017-5638 after being exploited by hackers leading to ransomeware attacks that affected many organizations including National Health Service (NHS. England and Virginia State Government Systems leading to massive disruptions in services that were carried out using sophisticated techniques like SSH brute force attacks etc., not even mentioning our friend Heartbleed back in 2014 wherein OpenSSL versions 1.0.1 through 1.0.1f were compromised leading to remote information disclosure attacks by attackers exploiting this vulnerability resulting in the compromise of private keys stored in memory on devices running vulnerable versions of OpenSSL thus allowing them unauthorized access to sensitive data like password hashes etc., not forgetting Shellshock discovered last year wherein Bash was found vulnerable leading to remote code execution attacks which could result in unauthorized access if exploited correctly since its impact was greater than Heartbleed at first although it was patched soon enough before any systems got compromised but still resulted in numerous system compromises nonetheless especially considering that Bash was enabled by default on Linux based systems making it more widespread than Heartbleed ever was as opposed to Heartbleed whereby OpenSSL was not enabled by default making it less widespread but still resulted in massive damage despite being patched very quickly because the patch was not available immediately unlike Shellshock which was patched ASAP after its discovery hence avoiding any damage altogether until then though still resulted in some damage due to delayed patch release hence why this vulnerability was considered worse than Heartbleed overall because it had greater impact even though it was mitigated sooner than Heartbleed but still resulted in some damage nevertheless making it second only behind Heartbleed overall because Heartbleed had more impact overall but still resulted in quite some damage nonetheless making it second only behind Shellshock overall as far as vulnerabilities go resulting
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