From SQL Instance Management to Database Farm Management

silos represent database farm management

Managing instances – watching and tuning performance, handling incidents, and generally maintaining them has always been the DBA domain. DBAs are focused on the database server performance now. As the number of instances grows, you will need more DBAs to handle the job of keeping all instances ship-shape daily. This is when you need to consider farm management as well.

How is database farm management different from instance management?

Managing the database server farm is about managing and optimizing resources, cost, risk and inventory, planning, forecasting, reporting, and budgeting. Database Farm Management is focused on the medium- and long-term future, so it is usually done by senior DBAs and IT operations managers.

As an analogy, think of the difference between database farm management and instance management as the difference between managing public transport in a large city with managing a formula one race car team. The former is concerned with moving as many people as possible on buses, trams, and trains in a cost-efficient manner, while the latter is concerned with making one or two cars win the race at almost any cost.

What is Database Farm Management?

Database Farm Management is different from instance management. If you are to do this efficiently, you will need more comprehensive tools than those usually used by a DBA.

The first task in database farm management is to get the total overview of all the server instances under your responsibility. A complete overview is crucial since you cannot manage what you cannot see or do not know. This may seem trivial, but I have seen too many sites that do not have a complete overview of all their database servers. Sometimes, departments or outside 3rd party solution vendors will install new servers without informing IT, or someone will deploy a new temporary cloud server and forget to decommission it. In most cases, it will come back to haunt you – whether deserved or not. Ensure you have the complete overview. Install tools to auto-scan your networks for new instances and keep a close eye on your cloud services bill for new servers popping up. 

So, now you know what database servers you are responsible for, you have the overview. While you are at it, collect as much relevant data and properties as you can, such as platform, version, location, resources and licenses. You will need it for later.

How to Best Monitor Status and Health of Database Farms

It’s important to know if your database farm is fine, or if you need to take corrective or preventive action. There are lots of tools to help you with monitoring. Make sure they monitor all your instances on your list, so you are not caught out when somebody complains about some server you somehow forgot to include in your monitoring scheme. So, monitor them all – all the time. It is also a sign of professionalism to show and document to any manager who wants to know what you are doing and control.

The goal of database operations is to have everything available with acceptable performance whenever needed. If you fail to monitor, you can only react to service complaints since you have no forewarning to let you take preventive action.

When you can monitor the whole farm as a whole and see the bigger picture, it should also be easier to know where you should direct your DBA expertise to work with the most impact on overall system performance and health.

Inventory Management on Database Farms

If you have set up this appropriately so far, you should be in a position to quickly produce any report on all your servers, required for internal reporting, budgeting, or audit.

Another use for this is to see what versions you are running and use it for planning upgrade and patch cycles.

Resource Management for Database farms

One of the critical areas and benefits of database farm management is in optimizing resource utilization.

Your database farm consists of large amounts of expensive and limited resources: memory, disk, CPU cores, and software licenses. These resources represent a large financial investment and cost, and your job is to ensure the farm is utilized optimally. Here are some typical questions you should ask yourself:

  • Do I have servers that are not being used, and can be decommissioned and the resources returned to the free pool?
  • Do I have underutilized servers that we possibly could consolidate to free resources?
  • Do all the instances require and use all the memory that has been allocated?
  • Do they need and use all the cores they have been allocated?
  • Do I have servers that are starved of CPU or memory, that can better use these resources?
  • Do all servers with enterprise licenses need enterprise licenses, or is there scope for reducing licenses and cost?

Some sites auto scale/auto configure the memory allocated vs used on 1000+ servers every night. They then automatically reduce or increase memory on each instance to maximize performance by shifting memory to where it is most needed. It sounds like a big job – but it can be done completely automatically. The result was better overall performance and delayed the need for a new VM cluster. Maximizing resource usage in an elegant manner.

When you have convinced yourself that you have taken out all the slack resources in your farm, you can start planning for expansion. If you have trend charts for how the whole database farm is growing in resource usage, you have a good starting point for planning and budgeting for growth. When you also can document that there are no more slack or extra resources than necessary, it should be easier to argue for more resources

Other Blogs:

Managing SQL Server Farms

3 Challenges in Data Security Management

Two people work to improve their sql compatibility level

In today’s rapidly evolving digital landscape, data security management is paramount. As businesses increasingly rely on cloud services, managing data across multiple providers has become a pressing concern. With the transition from traditional vendor dependency to a diversified approach comes challenges, including increased costs and the need for additional tools.

 

 

This blog post explores three challenges that have made data security management more complex and critical than ever before. In addition, there are strategies for overcoming the challenges so that DBAs can ensure data security and integrity in today’s digital landscape.

 

1 Increasing Costs Due to Multi-Cloud Data Management

The cloud has transitioned from a novel concept to a mainstream solution. Now, many companies have servers with multiple providers, and each cloud location brings with it unique tools and protocols. While having several providers reduces a company’s dependency on one vendor, it increases costs due to needing additional tools and time spent in managing numerous systems.

 

2 Security Risks With Network Segmentation

Alongside the cloud’s rise, security has taken center stage. Network segmentation  (dividing networks into smaller, controlled segments) has become a critical strategy for enhancing security and reducing the risk of widespread breaches. 

 

However, network segmentation leaves organizations needing help to safeguard data across diverse and dispersed environments. Now, traditional approaches to cloud security can’t keep pace with the evolving nature of data and its associated risks.

3 Complexity From Outsourcing and Centralizing Operations

Outsourcing or centralizing operational functions significantly impacts data management. It adds complexity to the day-to-day tasks of operational staff, who navigate multiple customer networks. 

 

In addition, outsourcing operations also increases the demand for remote work, requiring secure network access for team members and consultants across multiple locations. Consultants specifically need timely and secure access to specific network segments, further complicating network management. Organizations must carefully balance accessibility and control to mitigate potential risks and vulnerabilities in this evolving landscape.

Cloud Router for Secure Database Management

At dbWatch, we provide managed services for a small group of customers. Essentially, we supply B2B services for ourselves, allowing us to fully understand the user experience. Responding to customer feedback and our DBAs, we developed Cloud Router. 

 

Cloud Router enables users to work securely from any location, accessing the resources they need to perform their jobs securely. The Cloud Router answers the modern demand for flexible, secure, and efficient operations management. 

 

The Cloud Router, developed by dbWatch, is an intermediary service for secure communication between different dbWatch networks operating via the Internet. 

Key Functionality

  • Layered Encryption: Ensure secure data transmission between networks. 
  • Independent Operation: Functions without requiring special privileges in the connected domains, reducing security risks. 
  • Easy Secure Access: Optimized for user convenience, the Cloud Router provides easy access from any location, maintaining high-security standards without compromising on ease of use. 

The Cloud Router is tailored for efficient and secure inter-network communication within the dbWatch ecosystem. 

Using Cloud Router in Data Security Management

In our DBA work, using the Cloud Router has changed how we manage our customers. Prior to May 2023, we maintained individual VPN connections for each customer – a necessary yet cumbersome and time-consuming task in multi-cloud data management.

 

The arrival of Cloud Router marked a pivotal moment in our operational approach. We began transitioning our directly managed customers to the Cloud Router system. The transition felt like entering a new era, with an immediate impact, particularly evident in these three areas: 

Secure VPN Alternative

  • Before our DBAs dealt with time-consuming VPN setup and maintenance. VPN work involved multiple people and had two weak points in danger of hacker attack. The first point was directly through the VPM, and the second was through the network of the VPN counterpart. As a Managed Service Provider (MSP) with several clients, this significantly cut down on our security risk caused by our vendor’s multiple VPNs. 
  • Now Cloud Router has streamlined how we connect to and manage our customer databases.

Logins 

  • Before our DBAs had multiple logins from a central location. As a result, we had to watch the exposed internal systems for attacks and track numerous end users’ logins and IDs.
  • Now we have direct and efficient interaction with customer databases, further enhancing our operational efficiency. 

Improved work satisfaction and efficiency 

After integrating the Cloud Router into our workflow, our technicians could complete more work with greater efficiency. They also noted increased job satisfaction. The Cloud Router didn’t just make their work easier; it made it more enjoyable. 

Conclusion 

Recently, we’ve experienced three challenges impacting our data security management

  1. Increasing Costs Due to Multi-Cloud Data Management
  2. Security Risks with Network Segmentation
  3. Complexity From Outsourcing and Centralizing Operations

The introduction of the Cloud Router has been a critical milestone in meeting these challenges. Its ability to simplify secure network communications and reduce reliance on complex VPN setups has been invaluable. 

 

We’re excited about the practical benefits it offers and are eager to share this tool with our customers. It’s a straightforward solution that responds effectively to modern networking challenges, and it can significantly improve operational efficiency for our users as well. 

 

When we fix one challenge, another will present itself. But, for now, we’re a few steps ahead of the current challenges.

 

Interested in discovering how Cloud Router can change your approach to secure database management?    Book a demo today.