11 Predictions for the Future of Observability
September 07, 2021

Jayne Groll
DevOps Institute

Observability brings value to organizations as they look for ways to improve DevOps transformations. By "observing" a system, an organization can better understand the internal and external state through observability.

As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. Below are 10 predictions:

Helen Beal, Chief Ambassador, DevOps Institute

I want to see a nexus between observability and value stream management. There is a duality in VSM that observability can help with; it's about flow and value realization. Value outcomes for customers are typically measured in terms of P&L, NPS ore reviews and referrals. But these are all lagging indicators. Observability has the ability to provide leading indicators, real-time data that tells us what a customer is experiencing right now and how it's about to affect their behaviour.

The use cases for AIOps are expanding beyond incident management and into customer experience, hence the call from Eveline Oerhlich to rename the segment predictive analytics. It's moving into the realm of RUM (real user monitoring) and value stream teams can use the data to prioritize their work based on direct customer feedback.

Mark Peters, Technical Lead, Novetta

Observability changes with systems. Containers through Docker, Kubernetes and orchestration systems improve the ability to monitor individual events and create observability. The future of observability lies not in more observability but in using better processes through ML and AI functions to observe the results of observability, finding and fixing issues faster than human monitoring can handle.

Ryan Sheldrake, Field CTO, Lacework

I think when we can truly map GitOps back from runtime and entirely correlate and verify (not simulate) that what is running is still exactly what passed all the automated verification and tests on the way to deployment and feedback is instant/automated, we can consider the system to be close to "self-healing."

Tiffany Jachja, Engineering Manager, Vox Media

Machine Learning observability is the future of observability. For example, today, only a few programming language runtimes support auto-instrumentation in distributed tracing. As a result, most developers in organizations adopting tracing practices for their software services are coupling business logic to infrastructure configurations in their code. This leads to code staleness, additional development time, and more requirements to continuously deliver.

Parveen Arora, Co-founder and Director, VVnT SeQuor

Observability is looked upon as a priority for DevOps-driven, agile development methodologies in the hopes of driving faster release cycles and delivering higher-quality software.

Supratip Banerjee, Solutions Architect, Principal Global Services

The Rise of AI in Observability — We can obtain the knowledge we require by applying AI to your observability data, automating monitoring practices, and surfacing actionable information to improve the customer experience. Automating every step of the way from creating the data to informing us of what we actually need to do, effectively reduces mountains of data to actionable information.

Vishnu Vasudevan, Head of Product Engineering and Development, Opsera

The future of observability will require a preventive problem ID using historical data patterns that can be easily identified. Emerging security and data protection incidents are creating toil. If observability practices can get teams to build stories around the translation of data analysis to easily understand the insights and influence action on any business decision — that's going to help significantly. Therefore, building a value-driven strategy for future iterations, especially around the customer data and relationship to different app features within the product, will help evolve observability over time. Continuously evaluating the business strategy through the context of observability is where the future needs to go.

Jose Adan Ortiz,Solutions Engineer, Akamai Technologies

As far as new developments in the open telemetry field, it is important to consider another fundamental pillar that is getting more and more significant for development teams, SREs, and stakeholders: security.

Security data, events, and CVEs must be integrated in the near future to provide a deep correlation with logs, metrics, and traces in order to maintain software components secure and free of vulnerabilities.

Maciek Jarosz, DevOps and Process Expert

As time passes and we learn more and more regarding good engineering practices, tops and flops of any given technology, and all that jazz. I'd say there will emerge some players who will possibly dominate the observability market.

Maybe those would be the big names of today, maybe some brave business people who dared to try their crazy ideas on the market — only time will tell.

Neelan Choksi, President and COO, Tasktop

Continuous improvement of fast feedback and flow will be key to fast learning and understanding — if decisions that have been made are making an impact on customer experience. The faster our design and development cycles, the faster we learn. The ability to rapidly develop minimal delightful products will continue to be a key factor to successfully launch new and innovative products.

Anshul Lalit, Head of Technology and Transformation, Kongsberg Digital

We're in the midst of a data revolution and observability is a growing demand field. It is quickly becoming a skill sought after due to the ever-increasing number of distributed systems and the operational complexity that goes along with that. In the foreseeable future, we can expect observability to become more commonplace in our lives. With the increasing sophistication of IoT devices, it is becoming more challenging to troubleshoot and debug issues with these devices. In response to this, we can expect observability to be developed to keep pace with IoT technology. As a result, we can expect observability to be a nearly ubiquitous service that will be delivered in a multitude of ways. It will be used to send data from IoT devices up to backend analytics processing and to visualize data analysis. We may even see this service as a standard feature for IoT devices or included with a smartphone or personal computer operating system.

Join DevOps Institute for SKILup Day: Observability, for how-to sessions to expand your observability knowledge.

Jayne Groll is CEO of DevOps Institute
Share this

Industry News

May 12, 2022

Red Hat introduced Red Hat Enterprise Linux 9, the Linux operating system designed to drive more consistent innovation across the open hybrid cloud, from bare metal servers to cloud providers and the farthest edge of enterprise networks.

May 12, 2022

Couchbase announced version 7.1 of Couchbase Server.

May 12, 2022

Copado added Copado Robotic Testing to Copado Essentials.

May 11, 2022

Red Hat announced new advancements within its Red Hat Cloud Services portfolio, delivering a fully-managed and streamlined user experience as organizations build, deploy, manage and scale cloud-native applications across hybrid environments.

May 11, 2022

JFrog introduced a new Docker Desktop Extension for JFrog Xray that allows organizations to automatically scan Docker Containers for vulnerabilities and violations early in the development process.

May 11, 2022

Progress announced a series of updates in Progress Telerik and Progress Kendo UI.

May 11, 2022

Vultr announces that Vultr Kubernetes Engine (VKE) is generally available.

May 10, 2022

Docker announced new features and partnerships to increase developer productivity. Specifically, the company announced Docker Extensions which allow developers to discover and add complementary development tools to Docker Desktop.

May 10, 2022

Red Hat announced the general availability of Red Hat Ansible Automation Platform on Microsoft Azure, pairing hybrid cloud automation with the convenience and support of a managed offering.

May 10, 2022

The Fedora Project, a community-driven open source collaboration sponsored by Red Hat, announced the general availability of Fedora Linux 36, the latest version of the fully open source Fedora operating system.

May 10, 2022

Progress announced the release of Progress Chef Cloud Security, extending DevSecOps with compliance support for native cloud assets and enabling end-to-end management of all on premise, cloud and native cloud resources.

This new offering is complemented with new capabilities across the Chef portfolio targeting DevOps success in the most demanding and complex enterprise deployments.

May 10, 2022

Platform9 announced new platform capabilities in Platform9 5.5 that make it easier for cloud-native development and operations teams to build, scale, and operate apps and Kubernetes clusters in the cloud, on-premises, and at the edge.

May 09, 2022

Red Hat and Accenture have expanded their nearly 12 year strategic partnership to further power open hybrid cloud innovation for enterprises worldwide.

May 09, 2022

Opsera has partnered with Mindtree.

May 09, 2022

Mendix announced that Mendix Workflow for process automation is now generally available.