2017 Application Performance Management Predictions - Part 4

APMdigest's 2017 Application Performance Management Predictions is a forecast by the top minds in APM today. Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2017. Part 4 covers cloud, containers and microservices.

Start with 2017 Application Performance Management Predictions - Part 1

Start with 2017 Application Performance Management Predictions - Part 2

Start with 2017 Application Performance Management Predictions - Part 3

31. APM AND ITOA EVOLVE TO ADDRESS CLOUD

As companies choose new cloud management platforms for on-demand service delivery to the business, IT support teams will increasingly look for new application and infrastructure monitoring systems for those on-demand services. These new monitoring systems will need to support the chosen cloud platform and new cloud-native technologies being deployed on these platforms, plus be compatible with on-demand provisioning systems (i.e., do you want monitoring with that service?) and support the dynamic scaling inherent in today's cloud management platforms. Choosing the right cloud-compatible monitoring technology will increase IT agility, allowing their customers to self-provision services while maintaining control and providing quality services.
Rodney Morrison
VP Products, SL Corporation

We finally see medium and large enterprises expanding into the cloud and truly leveraging full cloud capabilities (self-service, elasticity, self-healing). Incident recovery in the cloud becomes much easier through automated resource allocation, replacement, and rollbacks. As a result, the focus on IT Operations Analytics shifts from minor incidents to problems that become far more difficult to resolve. APM and ITOA technologies will introduce a number of key capabilities to address this shift including visibility into the state of a complete cloud stack and its history, the ability to support the dynamic nature of the cloud (e.g., identify spun off and stopped server instances and containers, track instances moved across the physical infrastructure, map server instances and containers to source images and provisioned software baselines), understanding changes of cloud resources and cloud infrastructure, and automatic analysis of all this information generating insights that can trigger manual or automated operations actions preventing issues, facilitating incident recovery, and remediating underlying problems.
Sasha Gilenson
CEO, Evolven

32. APM PROVIDES CLOUD NATIVE VISIBILITY

Traditional Application Performance Management (APM) and monitoring solutions are not designed for cloud native environments, for example many (100s, 1000s) microservices are running concurrently, so how do you trace a particular business transaction? How can you tell if a microservice is acting slow amongst all the data available from monitoring, when that service is dynamic and in a few seconds the environment completely changes? There are new solutions on the market that address these needs – it is a highly active area with many startups. Cloud native adoption is relatively new and mostly at proof of concept stage in large enterprises but 2017 will see the major APM vendors begin to address the particular needs of this market segment.
Michael Azoff
Principal Analyst, Ovum

In 2017, we expect customers an increase in deployment of cloud native workloads; requiring an APM solution that is dynamic and cognitive to address the complexities of these new workloads.
Arun Biligiri
Offering Management, Application Insights, IBM

Read Arun Biligiri's blog: 3 Focus Points for Future of Application Management

Driven, in part by a motivation to be cloud-native, we will see a shift in focus from "outside-in" APM, to instrumentation being provided at source by the app developer. And just as network monitoring is now the domain of the switch vendor, Platform and Infrastructure-as-a-Service providers will step up the level of native instrumentation too.
Richard Whitehead
Chief Evangelist, Moogsoft

33. APM OPTIMIZED FOR HYBRID CLOUD

As customers shift content to the cloud, 2017 will drive APM solutions to be optimized for hybrid application management. A generalized APM solution that manages cloud native and traditional on-prem applications together, is a step forward from the specialized point solutions for cloud native workloads today.
Arun Biligiri
Offering Management, Application Insights, IBM

Visibility Creates a Competitive Advantage for the Hybrid Enterprise: After deploying a hybrid environment, which can be complex and difficult to manage, the work is just beginning for the enterprise. The process continues as application requirements and business needs evolve. So, to increase agility, IT is always evaluating and adopting cloud services and related technologies like PaaS, containers and microservices to deliver applications faster. IT organizations will keep an eye on the longer-term to ensure that they can scale as usage increases. We expect to see greater adoption of application and network management functionality to ensure visibility into the hybrid cloud, creating more trust in IT and alignment to business objectives.
Sean Applegate
Sr. Director, Technology Strategist, Riverbed

Read Sean Applegate's blog: Trends and Predictions for 2017

IT infrastructure monitoring today involves physical and virtual resources that are both persistent and ephemeral. With data centers becoming hybrid in a multi-cloud eco-system, application and network monitoring have also become more complex and multi-dimensional. While analytics, telemetry, correlation, automation, and remediation are important, visualization and end-user experience are rising as critical elements in successfully managing and operating virtualized and cloud based deployments. With so much innovation taking place, in 2017 and beyond IT monitoring will be required to continue its transformation to help operators achieve backend operational efficiency in hybrid, multi-cloud data centers by delivering visibility and management across virtual and physical, as well as persistent and ephemeral environments.
Wendy Cartee
VP of Product Management and Marketing, PLUMgrid

APM will have the greatest impact in traditional enterprises such as banks, which are looking to use prebuilt applications for both on-premises and in the cloud, using APM across their entire stack.
Kunal Agarwal
CEO, Unravel Data

34. TAKING RESPONSIBILITY FOR SAAS

Enterprise IT teams realize they can't outsource responsibility for SaaS. 2017 will be the year that Enterprise IT teams realize that they are responsible for the performance of 3rd party SaaS applications such as Office 365 and G-Suite. They've been able to skate by for a few years, but now that these applications are officially business critical, they will realize that they don't have the ability to monitor, measure or manage these services. This will impact their organizational role as they move from being the builder of servers to being the broker of cloud services.
Damian Roskill
CMO, AppNeta

35. RETHINKING APM FOR SERVERLESS

In 2017, serverless application architectures will grow significantly, bringing about a rethinking of application performance monitoring, with more concern for the applications Quality of Experience. In addition, APM will start to expand from application performance to application performance and delivery monitoring. Real User Monitoring (RUM) will become more fully integrated with APM solutions as application Quality of Experience. Lastly, APM customers will accelerate the use of APM data for automated application optimization and delivery.
Rob Malnati
VP of Marketing and Business Development, Cedexis

As applications use serverless technologies to deliver end-customer functionality, APM services will also have to start managing the end to the transaction including "serverless functions".
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

36. CLOUD DRIVES IT OPS TO FOCUS ON BUSINESS SERVICES

IT Operations will move from an infrastructure and on-premises orientation to a cloud and business services orientation. Today's cloud-first world is forcing IT operations professionals to view the health of business services in their entirety and in real time, not just by the individual uncorrelated pieces of infrastructure that make it up. With business services as the lens, IT Operations will take a more predictive approach to preventing service outages by proactively identifying the symptoms of problems and being able to quickly remediate issues using automation all while doing so in a traceable and governed manner. Separate tools that rely on multiple systems of record and expensive integrations will fade, and costly maintenance of on-premises systems will reduce over time.
Kevin Murray
Senior Director, ServiceNow

37. APM FOR MICROSERVICES AND CONTAINERS

Dynamic application environments such as containerized applications and microservices architectures are becoming increasingly popular. Many organizations are expected to start using these technologies in their production environments as opposed to previous years where the technologies were used primarily in testing environments. IT departments should look to adopt the right APM solution to simplify the management of these complex environments and to contend with their dynamic resource requirements.
Arun Balachandran
Applications Manager Market Analyst, ManageEngine

The tectonic shift in the application substrate marked by microservices and containerization will reach enterprise level maturity and adoption in 2017, requiring a new approach to application monitoring. APM for dynamic microservices will need to evolve from code tracing methodologies and adopt data science approaches that collect & correlate metrics in real-time from thousands of microservices, classify the meta-data, understand the characteristic of the services, and quickly identify patterns that point to anomalies in system or application behavior.
Sachin Agarwal
VP Marketing, OpsClarity

The rapid adoption of containers and microservices makes it imperative to rethink APM in the context of highly dynamic applications and infrastructure. Just collecting Docker performance metrics is not enough; APM solutions need support these loosely coupled (and at times, ephemeral) services in a true-first manner to ensure end-customer experience.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

2017 will be the year of the container application, delivered as single serving entities for Just-In-Time services. As microservice-based architectures become mainstream, there will be a need for microservice-based application monitoring, which is based on the premise of short-lived application instances that you can run nearly anywhere. Likewise, with proliferation of converged and hyper-converged infrastructure (including web-scale cloud providers), classic APM that focuses solely on the compute layer will be insufficient. In a hyper-converged environment, you will need hyper-converged monitoring that is aware of both the application dependencies as well as the underlying infrastructure dependencies.
Antonio Piraino
CTO, ScienceLogic

38. MICROSERVICES AND CONTAINERS: DISTRIBUTED TRACING

2017 will be the year of fully integrated solutions that can do distributed tracing, because the generic APM solutions of today are not a good fit for the new paradigm shift microservices bring.
Gergely Nemeth
CEO and Co-Founder, RisingStack

39. MICROSERVICES AND CONTAINERS: DISCOVERY AND MAPPING

More focus will be placed on the ability to easily map interdependencies between components within the data-center both for internal and public cloud. Microservices and Containers as an initial trend, will set the overall tone in the more traditional IT departments requiring the basic ability to map dynamically dependencies in real-time. We will see more discovery functionality coming from APM vendors.
Lanir Shacham
Founder and CEO, Correlsense

40. CONVERSATIONAL INTERFACES POSES NEW PERFORMANCE CHALLENGE

With the advent of conversational interfaces like Siri and Alexa, customer expectations are increasing for "instant" interactions with the companies that they engage with. And users are impatient, the software and infrastructure supporting these interactions must perform well as the slightest delay can cause a user to abandon and move on to another brand. We expect that as companies begin to implement conversational interfaces and chatbots, the velocity at which IT will need to operate will only increase. Innovation requires velocity, only by moving quickly to address customer needs will companies maintain loyalty. But velocity also brings risk, as rapid change can lead to instability, so it will be important that IT departments carefully monitor both the technical applications and the business data contained therein to ensure they are achieving their desired business outcomes and not causing disruptions. Adapting these interaction models will also likely require new services running on new kinds of infrastructure. And that introduces even more complexity to an already highly complex IT environment. As the user's requests flow through the multitude of applications and their infrastructure it is important that the interactions be traced completely, end-to-end, to again ensure that users are not negatively impacted as changes in the environment occur.
Matt Chotin
Head of Product Marketing, AppDynamics

Read 2017 Application Performance Management Predictions - Part 5, the final installment.

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2017 Application Performance Management Predictions - Part 4

APMdigest's 2017 Application Performance Management Predictions is a forecast by the top minds in APM today. Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2017. Part 4 covers cloud, containers and microservices.

Start with 2017 Application Performance Management Predictions - Part 1

Start with 2017 Application Performance Management Predictions - Part 2

Start with 2017 Application Performance Management Predictions - Part 3

31. APM AND ITOA EVOLVE TO ADDRESS CLOUD

As companies choose new cloud management platforms for on-demand service delivery to the business, IT support teams will increasingly look for new application and infrastructure monitoring systems for those on-demand services. These new monitoring systems will need to support the chosen cloud platform and new cloud-native technologies being deployed on these platforms, plus be compatible with on-demand provisioning systems (i.e., do you want monitoring with that service?) and support the dynamic scaling inherent in today's cloud management platforms. Choosing the right cloud-compatible monitoring technology will increase IT agility, allowing their customers to self-provision services while maintaining control and providing quality services.
Rodney Morrison
VP Products, SL Corporation

We finally see medium and large enterprises expanding into the cloud and truly leveraging full cloud capabilities (self-service, elasticity, self-healing). Incident recovery in the cloud becomes much easier through automated resource allocation, replacement, and rollbacks. As a result, the focus on IT Operations Analytics shifts from minor incidents to problems that become far more difficult to resolve. APM and ITOA technologies will introduce a number of key capabilities to address this shift including visibility into the state of a complete cloud stack and its history, the ability to support the dynamic nature of the cloud (e.g., identify spun off and stopped server instances and containers, track instances moved across the physical infrastructure, map server instances and containers to source images and provisioned software baselines), understanding changes of cloud resources and cloud infrastructure, and automatic analysis of all this information generating insights that can trigger manual or automated operations actions preventing issues, facilitating incident recovery, and remediating underlying problems.
Sasha Gilenson
CEO, Evolven

32. APM PROVIDES CLOUD NATIVE VISIBILITY

Traditional Application Performance Management (APM) and monitoring solutions are not designed for cloud native environments, for example many (100s, 1000s) microservices are running concurrently, so how do you trace a particular business transaction? How can you tell if a microservice is acting slow amongst all the data available from monitoring, when that service is dynamic and in a few seconds the environment completely changes? There are new solutions on the market that address these needs – it is a highly active area with many startups. Cloud native adoption is relatively new and mostly at proof of concept stage in large enterprises but 2017 will see the major APM vendors begin to address the particular needs of this market segment.
Michael Azoff
Principal Analyst, Ovum

In 2017, we expect customers an increase in deployment of cloud native workloads; requiring an APM solution that is dynamic and cognitive to address the complexities of these new workloads.
Arun Biligiri
Offering Management, Application Insights, IBM

Read Arun Biligiri's blog: 3 Focus Points for Future of Application Management

Driven, in part by a motivation to be cloud-native, we will see a shift in focus from "outside-in" APM, to instrumentation being provided at source by the app developer. And just as network monitoring is now the domain of the switch vendor, Platform and Infrastructure-as-a-Service providers will step up the level of native instrumentation too.
Richard Whitehead
Chief Evangelist, Moogsoft

33. APM OPTIMIZED FOR HYBRID CLOUD

As customers shift content to the cloud, 2017 will drive APM solutions to be optimized for hybrid application management. A generalized APM solution that manages cloud native and traditional on-prem applications together, is a step forward from the specialized point solutions for cloud native workloads today.
Arun Biligiri
Offering Management, Application Insights, IBM

Visibility Creates a Competitive Advantage for the Hybrid Enterprise: After deploying a hybrid environment, which can be complex and difficult to manage, the work is just beginning for the enterprise. The process continues as application requirements and business needs evolve. So, to increase agility, IT is always evaluating and adopting cloud services and related technologies like PaaS, containers and microservices to deliver applications faster. IT organizations will keep an eye on the longer-term to ensure that they can scale as usage increases. We expect to see greater adoption of application and network management functionality to ensure visibility into the hybrid cloud, creating more trust in IT and alignment to business objectives.
Sean Applegate
Sr. Director, Technology Strategist, Riverbed

Read Sean Applegate's blog: Trends and Predictions for 2017

IT infrastructure monitoring today involves physical and virtual resources that are both persistent and ephemeral. With data centers becoming hybrid in a multi-cloud eco-system, application and network monitoring have also become more complex and multi-dimensional. While analytics, telemetry, correlation, automation, and remediation are important, visualization and end-user experience are rising as critical elements in successfully managing and operating virtualized and cloud based deployments. With so much innovation taking place, in 2017 and beyond IT monitoring will be required to continue its transformation to help operators achieve backend operational efficiency in hybrid, multi-cloud data centers by delivering visibility and management across virtual and physical, as well as persistent and ephemeral environments.
Wendy Cartee
VP of Product Management and Marketing, PLUMgrid

APM will have the greatest impact in traditional enterprises such as banks, which are looking to use prebuilt applications for both on-premises and in the cloud, using APM across their entire stack.
Kunal Agarwal
CEO, Unravel Data

34. TAKING RESPONSIBILITY FOR SAAS

Enterprise IT teams realize they can't outsource responsibility for SaaS. 2017 will be the year that Enterprise IT teams realize that they are responsible for the performance of 3rd party SaaS applications such as Office 365 and G-Suite. They've been able to skate by for a few years, but now that these applications are officially business critical, they will realize that they don't have the ability to monitor, measure or manage these services. This will impact their organizational role as they move from being the builder of servers to being the broker of cloud services.
Damian Roskill
CMO, AppNeta

35. RETHINKING APM FOR SERVERLESS

In 2017, serverless application architectures will grow significantly, bringing about a rethinking of application performance monitoring, with more concern for the applications Quality of Experience. In addition, APM will start to expand from application performance to application performance and delivery monitoring. Real User Monitoring (RUM) will become more fully integrated with APM solutions as application Quality of Experience. Lastly, APM customers will accelerate the use of APM data for automated application optimization and delivery.
Rob Malnati
VP of Marketing and Business Development, Cedexis

As applications use serverless technologies to deliver end-customer functionality, APM services will also have to start managing the end to the transaction including "serverless functions".
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

36. CLOUD DRIVES IT OPS TO FOCUS ON BUSINESS SERVICES

IT Operations will move from an infrastructure and on-premises orientation to a cloud and business services orientation. Today's cloud-first world is forcing IT operations professionals to view the health of business services in their entirety and in real time, not just by the individual uncorrelated pieces of infrastructure that make it up. With business services as the lens, IT Operations will take a more predictive approach to preventing service outages by proactively identifying the symptoms of problems and being able to quickly remediate issues using automation all while doing so in a traceable and governed manner. Separate tools that rely on multiple systems of record and expensive integrations will fade, and costly maintenance of on-premises systems will reduce over time.
Kevin Murray
Senior Director, ServiceNow

37. APM FOR MICROSERVICES AND CONTAINERS

Dynamic application environments such as containerized applications and microservices architectures are becoming increasingly popular. Many organizations are expected to start using these technologies in their production environments as opposed to previous years where the technologies were used primarily in testing environments. IT departments should look to adopt the right APM solution to simplify the management of these complex environments and to contend with their dynamic resource requirements.
Arun Balachandran
Applications Manager Market Analyst, ManageEngine

The tectonic shift in the application substrate marked by microservices and containerization will reach enterprise level maturity and adoption in 2017, requiring a new approach to application monitoring. APM for dynamic microservices will need to evolve from code tracing methodologies and adopt data science approaches that collect & correlate metrics in real-time from thousands of microservices, classify the meta-data, understand the characteristic of the services, and quickly identify patterns that point to anomalies in system or application behavior.
Sachin Agarwal
VP Marketing, OpsClarity

The rapid adoption of containers and microservices makes it imperative to rethink APM in the context of highly dynamic applications and infrastructure. Just collecting Docker performance metrics is not enough; APM solutions need support these loosely coupled (and at times, ephemeral) services in a true-first manner to ensure end-customer experience.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

2017 will be the year of the container application, delivered as single serving entities for Just-In-Time services. As microservice-based architectures become mainstream, there will be a need for microservice-based application monitoring, which is based on the premise of short-lived application instances that you can run nearly anywhere. Likewise, with proliferation of converged and hyper-converged infrastructure (including web-scale cloud providers), classic APM that focuses solely on the compute layer will be insufficient. In a hyper-converged environment, you will need hyper-converged monitoring that is aware of both the application dependencies as well as the underlying infrastructure dependencies.
Antonio Piraino
CTO, ScienceLogic

38. MICROSERVICES AND CONTAINERS: DISTRIBUTED TRACING

2017 will be the year of fully integrated solutions that can do distributed tracing, because the generic APM solutions of today are not a good fit for the new paradigm shift microservices bring.
Gergely Nemeth
CEO and Co-Founder, RisingStack

39. MICROSERVICES AND CONTAINERS: DISCOVERY AND MAPPING

More focus will be placed on the ability to easily map interdependencies between components within the data-center both for internal and public cloud. Microservices and Containers as an initial trend, will set the overall tone in the more traditional IT departments requiring the basic ability to map dynamically dependencies in real-time. We will see more discovery functionality coming from APM vendors.
Lanir Shacham
Founder and CEO, Correlsense

40. CONVERSATIONAL INTERFACES POSES NEW PERFORMANCE CHALLENGE

With the advent of conversational interfaces like Siri and Alexa, customer expectations are increasing for "instant" interactions with the companies that they engage with. And users are impatient, the software and infrastructure supporting these interactions must perform well as the slightest delay can cause a user to abandon and move on to another brand. We expect that as companies begin to implement conversational interfaces and chatbots, the velocity at which IT will need to operate will only increase. Innovation requires velocity, only by moving quickly to address customer needs will companies maintain loyalty. But velocity also brings risk, as rapid change can lead to instability, so it will be important that IT departments carefully monitor both the technical applications and the business data contained therein to ensure they are achieving their desired business outcomes and not causing disruptions. Adapting these interaction models will also likely require new services running on new kinds of infrastructure. And that introduces even more complexity to an already highly complex IT environment. As the user's requests flow through the multitude of applications and their infrastructure it is important that the interactions be traced completely, end-to-end, to again ensure that users are not negatively impacted as changes in the environment occur.
Matt Chotin
Head of Product Marketing, AppDynamics

Read 2017 Application Performance Management Predictions - Part 5, the final installment.

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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 ...

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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 ...

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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 ...

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