Hdd Capacity Restore V1.2

[Silvana Fleischacker]

HDDCapacity Restore is a freeware windows tool that handles LBA48 mode setting as well as HPA and DCO features. It does everything automatically: it extracts the factory capacity; then it restores the factory LBA48, HPA and DCO settings. Because its done automatically this software is easy to use.

This program looks like it could be very helpful for anyone who needs to restore their hard drive capacity. It seems to have all the necessary features to help you recover lost space, remove interference from programs, optimize the LBA48 addressing mode, and even recreate the original factory settings. It looks like a great tool to have if you are having trouble with your hard drive.

The most frequent installer filenames for the software include: CapacityRestore.exe and CapacityRestore-DBB02CF317.exe etc. HDD Capacity Restore relates to System Utilities. The most popular versions among the software users are 1.2 and 1.1.

The latest version of the program can be installed on PCs running Windows XP/XP Professional/Vista/7/8/10/11, 32-bit. This free software is a product of Atola Technology. According to the results of the Google Safe Browsing check, the developer's site is safe. Despite this, we recommend checking the downloaded files with any free antivirus software.

The --engine and --engine-version parameters let you create a MySQL 5.7-compatible Aurora Serverless v1 cluster from a MySQL 5.6-compatible Aurora or Aurora Serverless v1 snapshot. The following example restores a snapshot from a MySQL 5.6-compatible cluster named mydbclustersnapshot to a MySQL 5.7-compatible Aurora Serverless v1 cluster named mynewdbcluster.

You can optionally specify the --scaling-configuration option to configure the minimum capacity, maximum capacity, and automatic pause when there are no connections. Valid capacity values include the following:

In the following example, you restore from a previously created DB cluster snapshot named mydbclustersnapshot to a new DB cluster named mynewdbcluster. You set the --scaling-configuration so that the new Aurora Serverless v1 DB cluster can scale from 8 ACUs to 64 ACUs (Aurora capacity units) as needed to process the workload. After processing completes and after 1000 seconds with no connections to support, the cluster shuts down until connection requests prompt it to restart.

To configure an Aurora Serverless v1 DB cluster when you restore from a DB cluster using the RDS API, run the RestoreDBClusterFromSnapshot operation and specify serverless for the EngineMode parameter.

You can optionally specify the ScalingConfiguration parameter to configure the minimum capacity, maximum capacity, and automatic pause when there are no connections. Valid capacity values include the following:

Three years ago at re:Invent 2017, AWS announced the original Amazon Aurora Serverless preview. I spent quite a bit of time with it, and when it went GA 9 months later, I published my thoughts in a post titled Aurora Serverless: The Good, the Bad and the Scalable.

If you read the post, you'll see that I was excited and optimistic, even though there were a lot of missing features. And after several months of more experiments, I finally moved some production workloads onto it, and had quite a bit of success. Over the last 18 months, we've seen some improvements to the product (including support for PostgreSQL and the Data API), but there were still loads of problems with the scale up/down speeds, failover time, and lack of Aurora provisioned cluster features.

That all changed with the introduction of Amazon Aurora Serverless v2. I finally got access to the preview and spent a few hours trying to break it. My first impression? This thing might just be a silver bullet!

I know that's a bold statement. ? But even though I've only been using it for a few hours, I've also read through the (minimal) docs, reviewed the pricing, and talked to one of the PMs to understand it the best I could. There clearly must be some caveats, but from what I've seen, Aurora Serverless v2 is very, very promising. Let's take a closer look!

Update December 9, 2020: I've updated the post with some more information after having watched the "Amazon Aurora Serverless v2: Instant scaling for demanding workloads" presentation by Murali Brahmadesam (Director of Engineering, Aurora Databases and Storage) and Chayan Biswas (Principle Product Manager, Amazon Aurora). The new images are courtesy of their presentation.

For those that need a refresher, "Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. It enables you to run your database in the cloud without managing any database capacity." Sounds amazing, huh?

Aurora Serverless separates the data and compute layers so that each one can be scaled independently. It uses distributed, fault-tolerant, self-healing storage with 6-way replication that will automatically grow as you add more data. The data is replicated across multiple availability zones within a single region, which helps provide high availability in the event of an AZ failure.

Aurora Serverless v1 uses a pool of warm instances to provision compute based on your ACU (Aurora Compute Unit) needs. These pre-provisioned instances attach to your data and behave similar to a typical provisioned database server. However, if certain thresholds are crossed (max connections and CPU), Aurora Serverless v1 will automatically move your data to a larger instance and then redirect your traffic with zero downtime. It will continue to scale up as needed, doubling capacity each time. Once traffic begins to slow down, your data will be moved to smaller instances.

Instances run in a single availability zone. In the event of an AZ failure, a new instance will automatically be provisioned in another AZ, your data will be attached, and your requests will begin routing again. Based on availability, it could take several minutes to restore access to the database.

I'm glad you asked! A big change for Aurora Serverless v2 has to do with the way the compute is provisioned. Instead of needing to attach your data to differently sized instances, Aurora Serverless v2 instances auto-scale in milliseconds based on application load. Yes, you read that correctly. Using some combination of elastic computing and dark magic, your ACUs will scale instantaneously to handle whatever you throw at it.

Also, because the instance scaling is elastic, Aurora Serverless v2 increases ACUs in increments of 0.5. This means that if you need 18 ACUs, you get 18 ACUs. With Aurora Serverless v1, your ACUs would need to double to 32 in order to support that workload. Not only that, but the scale down latency is significantly faster (up to 15x). I'll show you some of my experiments later on, and you'll see that scale downs happen in less than a minute.

Beyond the amazing scaling capabilities is the fact that "it supports the full breadth of Aurora features, including Global Database, Multi-AZ deployments, and read replicas." This seems pretty darn clear that Aurora Serverless v2 intends to support all the amazing Aurora features, including the ones missing from Aurora Serverless v1.

Update December 9, 2020: The re:Invent presentation offered some more insights into the "dark magic" that powers the auto-scaling. There is a "Router fleet" in front of your instances that hold the connections from the application, allowing the capacity to scale without losing client connections.

Another amazing feature, is the ability to add "read-only" capacity to your cluster. You can add up to 15 readers, each with the ability to scale to 256 ACUs. Assume that 256 ACUs provides you with 6,000 connections (as v1 or a db.r5.16xlarge instance does), this means your application could theoretically support up to 96,000 active connections! That is some insane scale right there.

There is also the option with v2 to create mixed configurations within a single cluster. This means that a single cluster can be a mix of provisioned and serverless instances. Not only that, but existing provisioned Aurora clusters can be modified to support new serverless instances. So if you have an existing cluster and you want to add highly-scalable, on-demand read capacity, you'll be able to do that without needing to create a new cluster or migrate your data. This is very, very cool.

There's no way to sugar coat this. The cost of Aurora Serverless v2 seems very high. In fact, v2 ACUs are twice the price of the original v1 ACUs ($0.12 per ACU Hour versus $0.06 per ACU Hour). There is some clever marketing language on the Aurora Serverless page that claims "you can save up to 90% of your database cost compared to the cost of provisioning capacity for peak load." That may be true, but let's break it down a bit.

When they say "provisioned capacity", they mean always on, as in an Aurora provisioned cluster. But before we get into that comparison, let's look at how it compares to Aurora Serverless v1.

So, yes, the price per ACU is double. However, there are some important distinctions here when it comes to how these costs get calculated. One difference has to do with the incremental ACUs of v2 versus the doubling of instance sizes required for v1. I'd like to be able to say that there's an argument that if my workload only needs 9 ACUs, then it would be cheaper than needing to pay for 16 ACUs with v1. Unfortunately, those 9 ACUs would cost your $1.08/hour versus $0.96/hour for 16 v1 ACUs. And if you needed 15 ACUs, well, I think you get the point.

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