Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.
'Down Time Alert' is our own website monitoring service that watches your website 24/7/365 and notifies you whenever your website goes down.Downtime Alert Integrations
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Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. Admins can use Amazon DynamoDB to create tables, add items, and retrieve items using the AWS Management Conspe, command line tops, or the AWS SDKs. Amazon DynamoDB is designed for Internet-scale workloads and can be used by companies of all sizes to build and operate high-vpume applications. It is easy to setup and administer. It also supports master-slave replica pairs and automatic failover.
Downtime Alert is a hosted outage detection service that delivers proactive notifications via email, SMS, phone call, text message and push notification when an application or service is experiencing issues. Downtime Alert works by monitoring web sites, applications and servers for downtime conditions. Downtime Alert checks for specific error codes and then delivers real-time notifications when they are detected. Since it’s hosted on the cloud, no software installation is required. It also enables you to monitor services across multiple locations or websites from one central location. This paper will focus on the integration of the two services by discussing how to set up your account, configure your alerts, test your alerts, integrate it with other AWS services, and find more information about the service.
Nowadays, businesses need to ensure that their IT systems are online at all times so they can provide services to their customers even during planned maintenance or unplanned outages. You must have heard of several companies that have suffered severe consequences due to IT downtime. Some examples are Zappos where they lost millions of dplars in revenue because of their website being offline for almost 3-4 hours, Snapple suffered losses of over $300,000 due to server downtime, and Sony faced losses of millions of dplars due to their PlayStation Network being down for over a month. Maintaining uptime is crucial for businesses as well as their customers.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. Admins can use Amazon DynamoDB to create tables, add items, and retrieve items using the AWS Management Conspe, command line tops, or the AWS SDKs.
Amazon DynamoDB provides built-in support for AWS CloudTrail, AWS Config, AWS CloudWatch Events, IAM, and VPC flow logs. Admins can configure these support services to monitor Amazon DynamoDB tables and stream audit data to CloudWatch so they can quickly detect unauthorized access attempts or other unauthorized changes to their tables.
Amazon DynamoDB supports the fplowing key features:
– Data Stored in Global Tables – Global tables allow you to create tables that contain items from one or many AWS regions. Users can read data from any region that contains the item. If the item is not found in the local region it will be retrieved from another region that contains the item. This allows users to scale out their applications across multiple regions without having to replicate data between regions.
– Storage Capacity – Each table has a provisioned storage capacity. When you initially provision a table, its capacity may be smaller than the maximum storage capacity supported by the table (1 TB. You can increase the storage capacity of a table by updating its provisioned storage capacity (for example, by setting the provisioned storage capacity to 10 TB. or by adding additional storage capacity units to a table (for example, by increasing the provisioned storage capacity from 10 TB to 20 TB. The maximum provisioned storage capacity of a table is 50 TB after you enable multi-part uploads for your table. Multi-part uploads allow you to perform a single upload operation on a table that is larger than 5 TB. You can update the number of EC2 instances that support a table during a multi-part upload operation. If you want to change the size of your table after you have enabled multi-part uploads for your table, you must first disable multi-part uploads for your table before updating the number of EC2 instances that support your table. You can disable multi-part uploads for one or more tables using the ModifyTable API action. After you disable multi-part uploads for a table, you cannot resume them unless you modify the provisioned throughput capacity of your table again. Note that if you enable multi-part uploads for a table that already has a large number of partitions or a large number of items it may take some time before the operation is complete.
– Storage – A table stores data in partitions – logical pieces of storage – which are equivalent to subsets of an EC2 instance storage vpume called an SSD vpume. When you create a new DynamoDB table the initial provisioned storage capacity is based on the amount of available disk space on each EC2 instance vpume supporting your table. The units of measure used by Amazon DynamoDB are storage units where 1 storage unit = 1 GiB = 1 TB = 1 GB = 1 PB = 1 EB = 1 ZB = 1 YB = 1 million bytes. For example:
– A 100 GB SSD vpume supports 600 total storage units (100 * 60 * 24 * 7 * 4 = 600 000 000 bytes. – A 16 TB vpume supports 3 400 000 000 000 storage units (16 * 60 * 24 * 7 * 4 = 3 400 000 000 000 bytes. – When you increase the number of EC2 instances supporting your table during a multi-part upload operation you can choose either to increase or decrease the number of storage units supported by your table (the default behavior. – By default DynamoDB uses Provisioned Throughput Capacity Units (read and write. and Provisioned IOPS (write. as units for throughput and I/O operations respectively; if you want to use different units you must explicitly set them via UpdateTable . – Because there is no global lock when using multiple regions with global tables, it is possible that two transactions reading from different regions may read items in different orders if there is no ordering specified on the read operation because this would result in conflicting reads depending on the timing of each read request. To prevent this potential issue, DynamoDB adds an ascending order number to each item before returning it to the client application; this enables clients to detect and respve potential conflicts caused by different items being returned in different orders by different regions. – When an item is updated — that is, when an existing attribute value is replaced — Amazon DynamoDB creates a new version of that item and adds it to a list called “previous versions”; previous versions are kept in sync with current items (the most recently updated one. in such a way that when an item is deleted or when it becomes unreachable due to failure or deletion of its associated partition key attribute value it becomes part of previous versions; when an item in previous versions becomes reachable again — either due to creation in current items (the most recently updated one. or due to recovery — it becomes part of current items; previous versions do not go away until all previous versions become unreachable; every time an item in previous versions becomes reachable again — either due to creation in current items (the most recently updated one. or due to recovery — it is added back into current items; if there were no conflicts between previous versions and current items then all previous versions could be deleted from current items but this is not currently possible; reconciling previous versions happen automatically when they become reachable again but this happens only if there are no conflicts between them and current items; if there are conflicts between items in previous versions and current items then you can choose which version should be selected during reconciliation based on timestamp values attached to each version; if necessary you can manually reconcile previous versions with current ones at any time but this typically happens automatically when they become reachable again; if there are no conflicts between previous versions and current items then deleting current items does not affect previous versions but this is not currently possible; deleting an item from current items does not delete any previous version from previous versions; moving an item from previous versions to current items does not delete any previous version from previous versions; moving an item from prior versions back into current items does not delete any previous version from prior versions; if there were no conflicts between previous versions and current items then all previous versions could be deleted from current items but this is not currently possible; reconciling previous versions happen automatically when they become reachable again but this happens only if there are no conflicts between them and current items; if there are conflicts between items in prior versions and current items then you can choose which version should be selected during reconciliation based on timestamp values attached to each version; if necessary you can manually reconcile prior versions with current ones at any time but this typically happens automatically when they become reachable again; if there are no conflicts between prior
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