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DynatraceGo! APAC 2021

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), AI-powered Solutions, Digital Transformation, Intelligent Automation, AI Model

In today’s digitalized world, these days organizations are moving as per the market requirement. Many of the companies are forced to accelerate the automation with agility, speed, and by improving customer expectations, hyper-scale, and lastly by increasing revenues generation. In this scenario, every company, from education to finance, healthcare to transportation, is truly becoming a software-oriented company. Moreover, these companies mainly need to move on cloud-native technologies like Kubernetes and microservices.

This expansion on cloud platforms not only offers flexibility, scalability but also increases the complexity to manage data far beyond the data center world. Against this background, Dynatrace, with automatic and intelligent observability capability, recently hosted their annual virtual webinar – called DynatraceGO. In fact, DynatraceGO mainly focuses on automatically accelerating digital transformation on the modern cloud. After attending the same on behalf of Quadrant Knowledge Solutions, I can say that I had collected some quite interesting insights by the time it ended.

The ever-increasing usage of the modern cloud digital – apps and services to shop online, learn, and connect with people – increases data management complexities for companies. Hence, the company needs innovation and automated technologies to manage every element in full-stack. Moreover, it is mainly provided by the ever-increasing velocity, variety, and volume of data that goes beyond what a human can manage on a dashboard alone.

Taking this a step further, Mike Maciag – Chief Marketing Officer at Dynatrace, majorly emphasized how the modern dynamic cloud-native platform can stretch a team beyond its limit. Also, create security gaps and slow down the innovation that the company needs to compete with others. This session helped me to understand how the company’s agile methodologies and BizDevSecOps played a vital role in adopting new things. In fact, on similar lines, BizDevSecOps can be defined as the boundaries of the organizations that allow the teams to collaborate and accelerates the frequency of changes with a limited legacy resource.

Moreover, the BizDevSecOps helps in optimizing the resource, abate the workload, and simultaneously assist few financial mitigations. This increases complexity and troubleshooting, which can only be resolved by bringing innovation and not only pushing monolithic working environment into the dynamic cloud or encouraging team members to carry out a DIY model approach. This webinar was attended by many operational executives, DevOps professionals, developers, and other technical professionals across the world. Lastly, the session provided a glimpse into the Dynatrace platform, which made us think beyond metrics, logs, and traces and allowed to truly transform automatic and intelligent observability.

Highlights of Dynatrace’s all-in-one software intelligent platform:

  • The company offers an automated intelligent platform that is comprehensive, easy, and extensible enough to accelerate digital transformation on the modern cloud. Moreover, it also promotes enhanced free time at the disposal of employees, saving them from doing repetitive tasks and enhancing focus on innovation.
  •  Moreover, the company gathers a large amount of required data even from open-source telemetry, API, and many other sources – which amazed me with its capability of generating and categorizing data automatically with ease and scalability.
  • The company also offers a built-in repository, this helps teams to organize their data in terms of baseline and pattern relationship. With the help of technology, all things have become completely automated and, moreover, do not require human help.
  • Also, a hyper-scale feature has enabled to suppress data noise automatically with its advanced innovative out-of-the-box dashboard. This function moreover helps to drive better business outcomes.

This tells me clearly that the Dynatrace platform offers automatic observability and multi-cloud option, with out-of-the-box support for scalability, along with 500+ integration options to accelerate data capturing and analyzing

Key Takeaways of Dynatrace platform capabilities :

The platform of Dynatrace is specifically built for dynamic multi-cloud and cloud-native apps.

  • One Agent captures, streamlines, and configures the data on the dashboard. These functions are mainly performed in real-time from all the containers which passes along an increasingly complex multi-cloud environment.
  • Smartscape builds real-time topology about how everything works and updates billions of dependencies.
  • Davis AI includes AIOps, an artificial intelligence (AI) engine that identifies true business impact from data and helps BizDevSecOps teams to reduce waste of motion, while focusing on the resources that matter.
  • Meanwhile, the Davis AI is incorporated into all the components of the software. This tool helps to alerts the team, suppresses noise, and provide precise root-cause analysis and solutions. With this, the resolutions can be done in minutes and allow the BizDevSecOps team to collaborate and shift from reactive to a proactive approach.
  • It gave me insightful knowledge about Dynatrace’s different platform that goes beyond the observability of traces, metrics, and logs to topology, behavior, code, metadata, and network observability.

Additionally, the way Dynatrace gather data and provide outcomes for business made me realize that this platform offers continuous innovation by providing six models:

  • Infrastructure Monitoring provides hybrid cloud visibility across the enterprise.
  • Applications and Microservice offer full-stack APM (Application Performance Management) with distributed tracing and code-level details.
  • Application Securities provide run time protection across all application lifecycles.
  • Digital Experience ensures the performance of high-profile customer-facing apps.
  • Business Analytics provides the customer with real-time business intelligence of all KPIs.
  • Cloud Adoptions offer a multi-cloud offering to organizations.

Further, an amazing customer panel hosted by Dave Anderson gave me insights into how customers are using the Dynatrace platform to innovate, transform digitally, and leverage AI into their organizations. The customer panel consisted of Angela Donohoe – Chief Information Officer, BPAY, Yorck Reuber – Chief Information Technology Officer, Allianz Malaysia, and Vikash Chhaganlal – GM Engineering and Infrastructure, Kiwibank, who spoke about how they automate their payment solutions, customer management, operations, and insurance software, amongst other things. This helped me to understand how the customers are automatically upscaling their solutions on multi-cloud. While understanding their client requirements and providing a comprehensive way of designing deploying applications and operations by using the Dynatrace intelligent platform.

Furthermore, the breakout sessions by Nik Jain, Kevin Leng, Brandon Neo, and Myrvin Yap provide the attendees with insightful presentations on scaling DevOps / SRE (site reliability engineering) and simplifying the Kubernetes environment with intelligent observability. Additionally, it also provided knowledge on how the company is accelerating cloud-native innovation. Moreover, how it is delivering a perfect user experience with full-stack observability.

In fact, I had also noticed and learned during the presentations that Dynatrace delivers intelligent observability. This observability mainly helps to automate the process and monitor the Kubernetes environment foster collaboration between Dev & Ops teams. Along with that, it also gave me insights into how the company simplifies multi-cloud management to get automated and intelligent observability. Simultaneously, serverless functions like AWS Lambda, Azure Functions, and Google Cloud functions offer full-stack visibility.

Keynote on Spatial Collapse: The Great Acceleration of Turning Data into an Asset – by Tricia Wang, Founder & Technology Ethnographer, Sudden Compass, mainly emphasized how companies can utilize data as an asset in the current time of COVID-19 pandemic. This session provided interesting insights and helped me to understand how the rapidly changing behavior of customers has transformed the business style. Moreover, it also provided insights regarding how increased online spending time has helped organizations to collect data and understand the impacts of making the right decision.

From previous research, it has been found that human beings experience spatial collapse- (mixing of personal, professional, and public space) like never before, which have been perfectly presented by a slide on pre & post covid mental model of space. Further, it made me think about how companies can utilize spatial collapse to gather and use data as an asset, as many companies believe that if they have more data, they can make a better decision, gain a higher profit, and have more customers. However, as per my understanding after attending this session, it is not always necessary that if organizations has a large amount of data, they could make a better decision, instead of the quality of data that matters.

When an organization is more company-centric, it relies only on big data. Still, when a company is more customer-centric, it invests in digital tools which help to understand more about customer needs and utilize big data only as a tool and not completely rely on it. Furthermore, emphasis was also provided in the session on big data and thick data, which made me realize that integrating big data with thick data with high-resolution context through small-scale data collection generates insights on which the organization should focus upon.

Additionally, the organization should understand the importance of “context” that humans can understand better than a computer while making a decision. Lastly, the organization should not always rely on data-driven decision making, which requires more time for categorizing, collecting, and cleaning data, rather spend time on understanding customer culture, collaborate, and communicate with them to utilize data as an asset for insight-driven decision making.

About the Author

Sofia Ali_Analyst_Quadrant Knowledge Solutions

Sofia is a part of Quadrant’s global research and consulting team. She is responsible for Data, Analytics, and AI research, and also conducts – global strategic market outlook, SPARK Matrix analysis, and client consulting assignments. She has also worked on various strategic research and vendor evaluation projects and is a part of Quadrant’s best practices team in identifying the most promising companies in the data, analytics & AI domain space. Sofia has been an integral resource for consulting assignments including detailed market mapping, custom market intelligence, analyst briefings, and such others.
Sofia holds a Post-Graduation in International Business from MIT-WPU, (Pune, India) and B.E in Automobile engineering from Gujarat Technological University, India.