IT teams can’t afford to stand pat with their business-critical applications and workloads. In today’s era of mobility, big data analytics and always-on transactional demand, legacy apps must be able to offer features and functionality that are comparable to—and complementary with—cloud-native apps.
Today’s databases, OLTP systems and CRM systems must also support faster, more agile development processes to enable new capabilities such as artificial intelligence and microservices. In addition, with data projected to grow by a factor of 10 between 2016 and 2025, these apps all require faster performance, more capacity, enhanced agility and bullet-proof reliability.
Choosing the right technology solutions to modernize business-critical applications can deliver significant value to any business. For example, research from IDC has shown that using hyper-converged infrastructure to modernize and transform certain applications can deliver these key benefits:
- 66% more efficient operations
- 61% lower cost of operations
- 34% faster application development lifecycle
- 99% less unplanned downtime
However, how do you know whether hyper-converged infrastructure—or any other solution—is the right path to modernization for your specific workloads, environment and industry?
The answer is to embrace application modernization from a position of strength. You can achieve this by leveraging real-world data and intelligence about how your business-critical workloads are actually running in your environment and using this insight to determine how you can run them more efficiently.
Leveraging transformative data and intelligence
The first step in modernizing your application portfolio is to analyze your applications to identify cost savings and potential gaps in features and functions, which could have a negative impact on your competitive posture or operational efficiencies.
In order to do this, you need actionable data about how applications and workloads are performing in your environment. Examples of the type of detail that will help you make smarter decisions include:
- Automatically collecting real-world data on which users are accessing specific servers and storage and how that usage is impacting workload performance across your most important business applications.
- Visualizing how and under what circumstances your storage capacity is being utilized across your entire infrastructure, including near-real-time IOPS performance for your business-critical databases.
- Leveraging live information on operating systems, servers, network throughput, CPU workloads and dozens of other variables across your entire enterprise infrastructure, including private, hybrid and public cloud.
- Using sophisticated modeling tools and techniques to project future requirements, based on expectations for capacity, performance, utilization or other vital statistics.
Taking the next step
The reality is that you can do all of these things and access this level of granular real-time data and analytics across your entire infrastructure. One solution is Live Optics, available free from Dell EMC for any organization, not just Dell EMC customers.
Live Optics is lightweight, remote and agentless software for collecting data about your IT environment. It streams workload data from your system to an online analytics engine that then measures, analyzes and blends workload characteristics.
The ability to leverage accurate, real-time, live information about how workloads are impacting your environment is a potential game-changer. It can help you budget more accurately, make strategic decisions about what technology to invest in, when to invest and how to use the public cloud as an effective complement to on-premises infrastructure. When it comes to application modernization, a little bit of knowledge goes a long way; a lot of knowledge is transformative.
What is the best way to modernize IT for these apps? Here’s how you can use real-world intelligence to clearly see and analyze your resource requirements for all workloads, so you can modernize with intelligence and insight.