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2019 Predictions from SIOS Technology

Jerry Melnick

The following are 2019 predictions for the cloud, high availability (HA) and disaster recovery (DR).

ADVANCES IN CLOUD TECHNOLOGY

Advances in Technology Will Make the Cloud Substantially More Suitable for Critical Applications

Not surprisingly, organizations will expand the use of cloud services in 2019 for both existing and new applications, further accelerating the migration of workloads from the datacenter to the cloud. With IT staff now becoming more comfortable in the cloud, their concerns about high availability (HA) and disaster recovery (DR) will also begin to ease. This change is significant because the workload migration will increasingly include mission-critical applications.

Companies have long relied on purpose-built HA failover clustering technology in their datacenters to protect their most critical enterprise applications. These third-party failover clustering solutions will further evolve to adapt and optimize operations for the cloud, making the cloud more suitable for critical enterprise applications.

At the same time cloud service providers will continue to advance their basic availability capabilities to meet the needs of a broad range of applications, many of which have lesser demands than for full HA, but still need basic DR assurances. With the evolution of both third-party clustering and nascent cloud availability capabilities, along with ready access to cloud DR capabilities, migrations from on-premises to cloud will accelerate.

COST-EFFECTIVE HA AND DR

Dynamic Utilization Will Make HA and DR More Cost-effective for More Applications, Further Driving Migration to the Cloud

Economies of scale and on-demand provisioning in the cloud are nothing new. What will be new in the cloud is the ability to dynamically configure its virtually unlimited resources spread among multiple availability zones and geographical regions. And this on-demand high-availability will make the cloud an even more cost-effective platform for critical applications.

High availability requires redundancy, with standby resources that are provisioned and ready to run, to enable rapid recovery under all possible failure scenarios. These standby resources all sit idle unless and until called into service during a failover from the primary. The increasing sophistication of fluid cloud resources across zones and regions connected via high-quality internetworking now enables standby resources to be allocated only when needed, making HA and DR far more affordable.

CLOUD FOR SAP

The Cloud Will Become a Preferred Platform for SAP Deployments

SAP is the undisputed leader in supply chain management, making its SAP and SAP S4/HANA-based applications the lifeblood of organizations around the world. Given its mission-critical nature, IT departments have historically chosen to implement SAP in enterprise datacenters, where the staff enjoys full control over the environment.

As the platforms offered by cloud service providers continue to mature, their ability to host SAP applications will become commercially viable and, therefore, strategically important. For CSPs, SAP hosting will be a way to secure long-term engagements with enterprise customers. For the enterprise, "SAP-as-a-Service" will be a way to take full advantage of the enormous economies of scale in the cloud, while also enabling IT to focus on service delivery rather than infrastructure management—all without sacrificing performance or availability.

QUICK-START TEMPLATES

Cloud "Quick-start" Templates Will Become the Standard for Complex Software and Service Deployments

The statement "some assembly required" has always been the case when implementing new applications or provisioning new services, whether in a private, public or hybrid cloud environment. Beginning in 2019, cloud service providers will simplify provisioning with more widespread adoption of quick-start templates. These templates are wizard-based interfaces that employ automated scripts to dynamically provision, configure and orchestrate the resources and services needed to run specific applications.

Among their key benefits are reduced training requirements, improved speed and accuracy, and the ability to minimize or even eliminate human error as a major source of problems for DevOps. Their use will substantially decrease the time and effort it takes for IT staff to setup, test and deploy dependable HA and DR configurations. The resulting turnkey deployments can be expected to become a new best practice for even the most critical of applications.

ADVANCED ANALYTICS AND AI

Advanced Analytics and Artificial Intelligence Will Be Everywhere and in Everything, Including Infrastructure Operations

Analytics and AI will continue becoming more highly focused and purpose-built for specific problems, and these capabilities will increasingly be embedded in cloud platforms and management tools.

AI-driven infrastructure tools, for example, are now being used to analyze input from a myriad of monitoring and management tools. Many of these AI tools have endeavored to solve broad problems across the IT spectrum. In 2019 these will begin to evolve to become substantially more focused on the most critical problems — both the routine and complex — encountered by IT staff. This much-anticipated capability will simplify IT operations, improve infrastructure and application robustness, and lower overall costs.

Along with this trend, AI and analytics will naturally become embedded in HA and DR solutions, as well as CSP offerings, to enhance the robustness of their operations. With the ability to quickly, automatically and accurately understand issues and diagnose problems across complex configurations, the reliability, and thus the availability, of critical application services delivered from the cloud will vastly improve.

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Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

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Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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2019 Predictions from SIOS Technology

Jerry Melnick

The following are 2019 predictions for the cloud, high availability (HA) and disaster recovery (DR).

ADVANCES IN CLOUD TECHNOLOGY

Advances in Technology Will Make the Cloud Substantially More Suitable for Critical Applications

Not surprisingly, organizations will expand the use of cloud services in 2019 for both existing and new applications, further accelerating the migration of workloads from the datacenter to the cloud. With IT staff now becoming more comfortable in the cloud, their concerns about high availability (HA) and disaster recovery (DR) will also begin to ease. This change is significant because the workload migration will increasingly include mission-critical applications.

Companies have long relied on purpose-built HA failover clustering technology in their datacenters to protect their most critical enterprise applications. These third-party failover clustering solutions will further evolve to adapt and optimize operations for the cloud, making the cloud more suitable for critical enterprise applications.

At the same time cloud service providers will continue to advance their basic availability capabilities to meet the needs of a broad range of applications, many of which have lesser demands than for full HA, but still need basic DR assurances. With the evolution of both third-party clustering and nascent cloud availability capabilities, along with ready access to cloud DR capabilities, migrations from on-premises to cloud will accelerate.

COST-EFFECTIVE HA AND DR

Dynamic Utilization Will Make HA and DR More Cost-effective for More Applications, Further Driving Migration to the Cloud

Economies of scale and on-demand provisioning in the cloud are nothing new. What will be new in the cloud is the ability to dynamically configure its virtually unlimited resources spread among multiple availability zones and geographical regions. And this on-demand high-availability will make the cloud an even more cost-effective platform for critical applications.

High availability requires redundancy, with standby resources that are provisioned and ready to run, to enable rapid recovery under all possible failure scenarios. These standby resources all sit idle unless and until called into service during a failover from the primary. The increasing sophistication of fluid cloud resources across zones and regions connected via high-quality internetworking now enables standby resources to be allocated only when needed, making HA and DR far more affordable.

CLOUD FOR SAP

The Cloud Will Become a Preferred Platform for SAP Deployments

SAP is the undisputed leader in supply chain management, making its SAP and SAP S4/HANA-based applications the lifeblood of organizations around the world. Given its mission-critical nature, IT departments have historically chosen to implement SAP in enterprise datacenters, where the staff enjoys full control over the environment.

As the platforms offered by cloud service providers continue to mature, their ability to host SAP applications will become commercially viable and, therefore, strategically important. For CSPs, SAP hosting will be a way to secure long-term engagements with enterprise customers. For the enterprise, "SAP-as-a-Service" will be a way to take full advantage of the enormous economies of scale in the cloud, while also enabling IT to focus on service delivery rather than infrastructure management—all without sacrificing performance or availability.

QUICK-START TEMPLATES

Cloud "Quick-start" Templates Will Become the Standard for Complex Software and Service Deployments

The statement "some assembly required" has always been the case when implementing new applications or provisioning new services, whether in a private, public or hybrid cloud environment. Beginning in 2019, cloud service providers will simplify provisioning with more widespread adoption of quick-start templates. These templates are wizard-based interfaces that employ automated scripts to dynamically provision, configure and orchestrate the resources and services needed to run specific applications.

Among their key benefits are reduced training requirements, improved speed and accuracy, and the ability to minimize or even eliminate human error as a major source of problems for DevOps. Their use will substantially decrease the time and effort it takes for IT staff to setup, test and deploy dependable HA and DR configurations. The resulting turnkey deployments can be expected to become a new best practice for even the most critical of applications.

ADVANCED ANALYTICS AND AI

Advanced Analytics and Artificial Intelligence Will Be Everywhere and in Everything, Including Infrastructure Operations

Analytics and AI will continue becoming more highly focused and purpose-built for specific problems, and these capabilities will increasingly be embedded in cloud platforms and management tools.

AI-driven infrastructure tools, for example, are now being used to analyze input from a myriad of monitoring and management tools. Many of these AI tools have endeavored to solve broad problems across the IT spectrum. In 2019 these will begin to evolve to become substantially more focused on the most critical problems — both the routine and complex — encountered by IT staff. This much-anticipated capability will simplify IT operations, improve infrastructure and application robustness, and lower overall costs.

Along with this trend, AI and analytics will naturally become embedded in HA and DR solutions, as well as CSP offerings, to enhance the robustness of their operations. With the ability to quickly, automatically and accurately understand issues and diagnose problems across complex configurations, the reliability, and thus the availability, of critical application services delivered from the cloud will vastly improve.

Hot Topics

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...