A Guide to OpenTelemetry - Part 5: The Challenges
October 24, 2022

Pete Goldin

Share this

While OpenTelemetry offers many advantages, the experts point out several challenges as well.

Start with: A Guide to OpenTelemetry - Part 1

Start with: A Guide to OpenTelemetry - Part 2: When Will OTel Be Ready?

Start with: A Guide to OpenTelemetry - Part 3: The Advantages

Start with: A Guide to OpenTelemetry - Part 4: The Results

The Project is Not Mature

Maybe the greatest challenge for OpenTelemetry is that the project is not mature. While the tracing component is fairly well advanced, the metrics and logging parts are still being formed.

"Currently, the project is not mature enough to support every stack, language, and signal," says Michael Haberman, CTO and Co-Founder of Aspecto. "While we believe it'll get there, the road to full stability is long."

"OpenTelemetry remains a young project in many ways, and many components are still in alpha or beta," explains Austin Parker, Head of Developer Relations at Lightstep by ServiceNow. "There is still work being done to bring in new signals such as profiling, logging, or real user monitoring (RUM), and breaking changes in those signals can be frequent."

"Logs and metrics are slowly catching up, but the API is still unstable which can be an issue," adds Vladimir Mihailenco, Co-Founder of Uptrace. "Logs and metrics are not stable yet so using them is more bumpy and requires some involvement with OpenTelemetry development and reading various changelogs."

Varying Quality

"While the existing OpenTelemetry libraries are already viable for manual and automatic instrumentation, which is a key part of any observability solution, it varies in quality," says Daniel Khan, Director of Product Management (Telemetry) at Sentry. "With new versions of libraries being released almost daily, it is up to the Open Source community to reverse engineer and adapt the instrumentation for every new version. This is not sustainable. Now is the time when library and framework maintainers have to start adding OpenTelemetry to their code. If this doesn't happen, the production use-case for OpenTelemetry will stay rather limited."

"The maturity of documentation, specification, libraries, and collector varies. One's experience might be very different depending on what they want to achieve," Marcin "Perk" Stożek, Software Engineering Manager of Open Source Collection, Sumo Logic, adds.


"OpenTelemetry is developing at a fast rate, and the instrumentation is rapidly changing. This can lead to frustrating bugs at times. But the community is actively taking steps to address concerns around instrumentation stability," says Pranay Prateek, Co-Founder of SigNoz.

Does Not Provide Backend Storage, Analysis or Visualization

Another important challenge to be aware of: OpenTelemetry does not provide any backend storage, analysis or visualization, so to gain full value of the project you need to implement these components on your own or with the help of a service provider.

"Without the proper tools and integrations, it can be challenging to make sense of what the data OpenTelemetry uncovers, and what was meant to provide visibility into IT performance and availability could actually end up creating more data noise instead," says Joe Byrne, VP of Technology Strategy and Executive CTO at Cisco AppDynamics.

Requires Large-Scale Initiative

To truly adopt OpenTelemetry requires a large-scale effort by an organization.

"Users will have to replace some of their existing toolchains of telemetry collection (especially for logs and metrics)," Haberman of Aspecto points out. "It will require quite a lot of effort, and usually, companies are not excited to make this large-scale shift."

"Migrating from current proprietary collection technologies to OpenTelemtry is non trivial for any large customer," adds Nitin Navare, CTO of LogicMonitor.

Difficult to Manage at Scale

"As OpenTelemetry evolves, it will become more complex and challenging to configure and manage at scale," warns Jonah Kowall, CTO of Logz.io.

Alois Reitbauer, Chief Product Officer at Dynatrace, agrees: "The challenge will be managing large-scale OpenTelemetry rollouts and monitoring their health."

Hard to Learn

"OpenTelemetry can be challenging for new developers to learn, as documentation gaps still exist due to the rapid pace of development," says Parker of Lightstep.

"Implementing OpenTelemetry across every part of the system requires deep knowledge and has a high entry point effort," adds Haberman of Aspecto. "This forces users to fully understand how OTel works and get involved in the project's updates. Though, as the project matures and the amount and quality of resources grows, adoption will get easier."

Martin Thwaites, Developer Advocate at Honeycomb, explains further: "At first glance, OpenTelemetry can be challenging to get started with, especially for certain languages that don't provide documentation for orchestration. However, even with this, early adopters were more than willing to dig deep and make it work. Therefore as focus on documentation becomes a priority, this barrier will quickly be eliminated. And, as adoption grows into the early majority and beyond, this will be more important to new users looking to come on board."

"Furthermore, looking deeper at the various language and framework SDKs are doing, it becomes harder to understand," he continues. "Providing more 'easy mode' integrations like the Agents and Kubernetes Operators will be essential to broader adoption. This will ease the issue of sampling or managing high data volume."

Developer Priorities

"It's important to consider that observability is not the fundamental goal when developing new software," explains Sajai Krishnan, General Manager, Observability, Elastic. "A software developer's primary goal may be to make the application or library they are building meet key business requirements or reduce the risk of impacting the performance of their code. Implementing observability may not be a primary goal, as developers carry on with familiar logging as has been done for decades, which could hurt the broad adoption of OpenTelemetry."

Download the 2022 Gartner Magic Quadrant for APM and Observability

Lack of Commercial Support

As with any open source solution, tech support and upgrades could be an issue for users of OpenTelemetry because it is not backed by a commercial vendor.

Vendor Enhancements

"There is also the risk that the standardization and vendor neutrality benefits of OpenTelemetry are lost by vendor enhancements beyond the standard features in their downstream distribution," says Krishnan at Elastic.

Go to: A Guide to OpenTelemetry — Part 6: OTel and APM

Pete Goldin is Editor and Publisher of APMdigest
Share this

The Latest

June 20, 2024

The total cost of downtime for Global 2000 companies is $400 billion annually — or 9% of profits — when digital environments fail unexpectedly, according to The Hidden Costs of Downtime, a new report from Splunk ...

June 18, 2024

With the rise of digital transformation and the increasing reliance on applications for business operations, the need for application performance management (APM) has become more critical ... This blog explains what APM is all about, its significance and key features ...

June 17, 2024

Generative AI (GenAI) has captured significant attention by redefining content creation and automation processes. Despite this surge in GenAI's popularity, it's crucial to highlight the continuous, vital role of machine learning (ML) in underpinning crucial business functions. This era is not about GenAI replacing ML; rather, it's about these technologies collaborating to supercharge intelligent automation across industries ...

June 13, 2024

As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...

June 12, 2024

In May, New Relic published the State of Observability for IT and Telecommunications Report to share insights, statistics, and analysis on the adoption and business value of observability for the IT and telecommunications industries. Here are five key takeaways from the report ...

June 11, 2024
Over the past decade, the pace of technological progress has reached unprecedented levels, where fads both quickly rise and shrink in popularity. From AI and composability to augmented reality and quantum computing, the toolkit of emerging technologies is continuing to expand, creating a complex set of opportunities and challenges for businesses to address. In order to keep pace with competitors, avoiding new models and ideas is not an option. It's critical for organizations to determine whether an idea has transformative properties or is just a flash in the pan — a challenge tackled in Endava's new 2024 Emerging Tech Unpacked Report ...
June 10, 2024

The rapidly evolving nature of the industry, particularly with the recent surge in generative AI, can catch firms off-guard, leaving them scrambling to adapt to new trends without the necessary funds ... This blog will discuss effective strategies for optimizing cloud expenses to free up funds for emerging AI technologies, ensuring companies can adapt and thrive without financial strain ...

June 06, 2024

Software developers are spending more than 57% of their time being dragged into "war rooms" to solve application performance issues, rather than investing their time developing new, cutting-edge software applications as part of their organization's innovation strategy, according to a new report from Cisco ...

June 05, 2024

Generative Artificial Intelligence (GenAI) is continuing to see massive adoption and expanding use cases, despite some ongoing concerns related to bias and performance. This is clear from the results of Applause's 2024 GenAI Survey, which examined how digital quality professionals use and experience GenAI technology ... Here's what we found ...

June 04, 2024

Many times customers want to know why their measured performance doesn't match the speed advertised (by the platform vendor, software vendor, network vendor, etc). Assuming the advertised speeds are (a) within the realm of physical possibility and obeys the laws of physics, and (b) are real achievable speeds and not "click-bait," there are at least ten reasons for being unable to achieve advertised speeds. In situations where customer expectations and measured performance don't align, use the following checklist to help determine the reason(s) why ...