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5 Capabilities of Systems Management Software

The Factors to Consider When Evaluating Systems Management Software Vendors

The following are 5 factors to consider when evaluating systems management software vendors:

1. Dynamic and Complex Applications

Applications are becoming dynamic and complicated. Can your monitoring and performance software handle them? Historically, it has been fairly easy to monitor applications. Today, applications are increasingly componentized and are being abstracted from the underlying hardware platforms with the prevalence of virtualization technologies such as VMware, Hyper-V, AIX LPARs, and Solaris zones. It is now incumbent on systems management vendors to understand these virtualization technologies in great detail and how they impact application monitoring and performance. Systems management and application monitoring tools should make application monitoring easier, not more complicated.

Systems management tools should understand both application performance and availability as well as application transaction monitoring, to give a true end-user point of view. Together, these give a clearer picture of application and service delivery. However, your software must go deeper and provide the ability to monitor all the bits and pieces of infrastructure that play a role in the application delivery. This includes deep metrics on hardware, multiple platforms, physical infrastructure, and even dynamic environments.

2. Heterogeneous and Changing Environments

Heterogeneous platforms (Virtual, Physical and even Cloud) are the new normal. Most mid-enterprise IT departments are dealing with hardware platforms of many vintages and architectures. Virtualization and cloud computing add further complexity to the mix. When evaluating systems management software, companies must ensure they are capable of monitoring heterogeneous platforms and ever-changing environments.

The key is to have everything in your “Single Pane of Glass” IT Dashboard. This includes all your physical, virtual, and even cloud applications and infrastructure. For example, ensure your systems management software deeply monitors all your in-house physical systems (including IBM POWER, Solaris SPARC, and x86) all the way down to the resource level. The same dashboard must give access to your virtual environment as well, including deep metrics on VM guests to optimize performance and help identify instance contention. Lastly, your tool must be able to monitor cloud application and platforms from within the cloud and link that data back into your “Single Pane of Glass” IT dashboard.

3. Future Proofing

Are you future proofing? What about new technologies? Virtualization was and continues to be a big disruptor in technology, yet it took vendors years to understand how to effectively monitor virtual environments. With the advent of cloud and its adoption, a very similar problem is occurring again.

As technologies change, make sure your systems management tool is ready to grow with you. Safeguard your company by choosing a vendor that is progressive and is diversity-friendly. There will always be diversity in IT environments and platforms, so pick a vendor that thrives across many different IT environments. Don’t get stuck with software that only monitors and manages one platform.

4. Fast Deployment

Can you quickly evaluate and deploy? Time to deploy is critical for every IT manager. Companies want the ability to evaluate software and deploy at their own pace without having to rely on a full-time administrator to install and support the new software. Is the solution you’re evaluating going to save time and costs associated with deploying new software?

5. Try Before You Buy

Trial, trial and trial – before you talk to salespeople. Don’t get caught being sold through fancy demos, vapor-ware, and PowerPoint’s. Trial the tool. See what it does and how it acts in the environment. If the trial is complicated, frustrating, and doesn’t do what you want, don’t expect the purchased tool to be any better. Make sure the systems management tool is the right fit for your environment, and fully trial the software before getting too far in the buying process.

Try before you buy. You won’t buy a car without a test drive, so get behind the wheel and take the software for a rip around the track!

About Alex Bewley

Alex Bewley, CTO of uptime software, co-founded the company in 2000 and has been instrumental in the development of their up.time software product. Bewley is a computer scientist with a B.Sc.H in Computer Science from Queen’s University.

Related Links:

www.uptimesoftware.com

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5 Capabilities of Systems Management Software

The Factors to Consider When Evaluating Systems Management Software Vendors

The following are 5 factors to consider when evaluating systems management software vendors:

1. Dynamic and Complex Applications

Applications are becoming dynamic and complicated. Can your monitoring and performance software handle them? Historically, it has been fairly easy to monitor applications. Today, applications are increasingly componentized and are being abstracted from the underlying hardware platforms with the prevalence of virtualization technologies such as VMware, Hyper-V, AIX LPARs, and Solaris zones. It is now incumbent on systems management vendors to understand these virtualization technologies in great detail and how they impact application monitoring and performance. Systems management and application monitoring tools should make application monitoring easier, not more complicated.

Systems management tools should understand both application performance and availability as well as application transaction monitoring, to give a true end-user point of view. Together, these give a clearer picture of application and service delivery. However, your software must go deeper and provide the ability to monitor all the bits and pieces of infrastructure that play a role in the application delivery. This includes deep metrics on hardware, multiple platforms, physical infrastructure, and even dynamic environments.

2. Heterogeneous and Changing Environments

Heterogeneous platforms (Virtual, Physical and even Cloud) are the new normal. Most mid-enterprise IT departments are dealing with hardware platforms of many vintages and architectures. Virtualization and cloud computing add further complexity to the mix. When evaluating systems management software, companies must ensure they are capable of monitoring heterogeneous platforms and ever-changing environments.

The key is to have everything in your “Single Pane of Glass” IT Dashboard. This includes all your physical, virtual, and even cloud applications and infrastructure. For example, ensure your systems management software deeply monitors all your in-house physical systems (including IBM POWER, Solaris SPARC, and x86) all the way down to the resource level. The same dashboard must give access to your virtual environment as well, including deep metrics on VM guests to optimize performance and help identify instance contention. Lastly, your tool must be able to monitor cloud application and platforms from within the cloud and link that data back into your “Single Pane of Glass” IT dashboard.

3. Future Proofing

Are you future proofing? What about new technologies? Virtualization was and continues to be a big disruptor in technology, yet it took vendors years to understand how to effectively monitor virtual environments. With the advent of cloud and its adoption, a very similar problem is occurring again.

As technologies change, make sure your systems management tool is ready to grow with you. Safeguard your company by choosing a vendor that is progressive and is diversity-friendly. There will always be diversity in IT environments and platforms, so pick a vendor that thrives across many different IT environments. Don’t get stuck with software that only monitors and manages one platform.

4. Fast Deployment

Can you quickly evaluate and deploy? Time to deploy is critical for every IT manager. Companies want the ability to evaluate software and deploy at their own pace without having to rely on a full-time administrator to install and support the new software. Is the solution you’re evaluating going to save time and costs associated with deploying new software?

5. Try Before You Buy

Trial, trial and trial – before you talk to salespeople. Don’t get caught being sold through fancy demos, vapor-ware, and PowerPoint’s. Trial the tool. See what it does and how it acts in the environment. If the trial is complicated, frustrating, and doesn’t do what you want, don’t expect the purchased tool to be any better. Make sure the systems management tool is the right fit for your environment, and fully trial the software before getting too far in the buying process.

Try before you buy. You won’t buy a car without a test drive, so get behind the wheel and take the software for a rip around the track!

About Alex Bewley

Alex Bewley, CTO of uptime software, co-founded the company in 2000 and has been instrumental in the development of their up.time software product. Bewley is a computer scientist with a B.Sc.H in Computer Science from Queen’s University.

Related Links:

www.uptimesoftware.com

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...