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

Pete Goldin
APMdigest

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.

Bugs

"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

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...