Mezmo announced the release of the Mezmo Exporter for OpenTelemetry- the first step in their continued work with the project to further simplify the ingestion of log data and make that data more actionable with enrichment of key OpenTelemetry attributes.
Mezmo sees a massive opportunity to reduce Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) by making log data more valuable and actionable.With this improved ability to ingest logs from multiple sources using multiple formats, enrich the logs at ingestion, and ultimately correlate log data on Mezmo, teams can find and act on the data that matters most - decreasing the time to resolve issues that present risks to their business.
OpenTelemetry is an open-source and Cloud Native Computing Foundation incubating project created from a merger between the OpenTracing and OpenCensus projects. OpenTelemetry provides a standard set of vendor-agnostic tools, APIs, and SDKs to export telemetry data (metrics, traces, and logs). The variety of tools is beneficial. Traditionally, telemetry data comes from open source and proprietary solutions in disparate formats. Due to a lack of standardization, users can often see a lack of data portability or the burden of added time to maintain their telemetry data.
With the Mezmo Exporter for OpenTelemetry, developers can get the information they need to identify and resolve issues faster within the Mezmo user interface (UI). Instead of forcing developers to search across disparate systems to find all relevant information for troubleshooting, developers can now tag logs ingested via the exporter with any additional attributes such as trace.id, span.id, metadata from your cloud environment, application data, and many others. This feature allows Mezmo’s powerful search capabilities to filter ingested logs by several meaningful attributes, allowing developers to spend less time searching and more time resolving critical issues.
The introduction of Mezmo’s Exporter for OpenTelemetry makes it possible to ingest logs from multiple sources using a single collector. The data can be enriched at ingestion, making correlating logs across many different services on Mezmo a simple search command. Whether you are ingesting application logs, Kubernetes logs, syslogs, or Windows Event Logs, OpenTelemetry makes it possible to collect these disparate log types and ingest them to the Mezmo platform, unlocking the power of their observability data. Existing OpenTelemetry users no longer need to do any additional work to export their observability data into Mezmo’s log analysis platform. To export OpenTelemetry data into Mezmo, users need to install the OpenTelemetry collector, and Mezmo will ingest and parse the data. Since there is no longer any need to install the Mezmo agent for users of OpenTelemetry, they can achieve faster time-to-value with Mezmo.
The Latest
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
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 ...
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 ...
