Mezmo unveiled new capabilities to surface critical business insights while reducing observability costs by as much as 70%.
Mezmo’s Telemetry Pipeline now includes more integrations, easy-to-use processors, and enterprise controls that deliver a comprehensive approach to optimize data usage, enabling businesses to make informed, data-driven decisions.
Mezmo transforms observability for SRE and DevOps teams, empowering them to filter out noise, dramatically reduce costs, and unleash their telemetry data's true potential.
“Mezmo’s Telemetry Pipeline addresses challenges that have long plagued enterprises in managing telemetry data efficiently and cost-effectively,” said Tucker Callaway, CEO of Mezmo. “Combined, these new features enable a step-by-step approach to decrease data volume and cost while maximizing signals for business insights. Mezmo continues to innovate and deliver solutions to give our customers a competitive edge.”
Mezmo’s Telemetry Pipeline’s new capabilities help users significantly decrease observability costs, expand the usefulness of the telemetry data and improve the performance of their observability platforms.
- Enabling Business Insights: Mezmo's new Events-to-Metrics Processor identifies and extracts metrics from bulky logs for easy consumption by analytics and visualization tools. This enables better business insights while reducing observability costs. Users can glean insight into metrics, such as abandoned shopping carts, application response times, exposed HIPAA or PII data, failed transactions, network latency, and more, and send such metrics to observability platforms such as Grafana or Datadog.
- Expanded Integrations: As the Pulse Report shows, enterprises connect to dozens of data sources and multiple observability platforms to monitor their systems. Expanding its integration ecosystem, Mezmo helps customers understand and organize telemetry data for a growing range of observability platforms. In addition to the dozens of existing integrations, Mezmo has added integrations to New Relic and Honeycomb.io, while expanding support for data ingestion from Prometheus, Splunk, Kafka, and Azure.
- Enterprise Support: Beyond moving the data, enterprises require telemetry pipelines to support SRE and DevOps workflows. Mezmo has recently added multiple capabilities, such as rollback and redeploy, sequential parsing, error history management, and data sample management, to ensure that multiple teams can take advantage of telemetry data as efficiently as possible.
The Latest
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
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 ...
