Mezmo

Mountain View, CA, USA
2013
  |  By Mezmo
In 2023, the global regulatory fines exceeded a colossal $10.5bn. It is not an isolated story. For the past few years, data, privacy, and industry-specific regulations have been getting stricter, enforcement is becoming rigorous, and non-compliance fines are going through the roof. Just look at this list on CSO Online of the biggest data breaches and subsequent fines companies like Meta, Amazon, and Equifax experienced in recent history.
  |  By Mezmo
Telemetry data sent from applications often contains Personally Identifying Information (PII) like names, user IDs, phone numbers, and other information that must be obfuscated before the data is sent to storage or observability tools, in order to be in compliance with corporate or government policies such as HIPAA in the US or the GDPR in the EU.
  |  By Mezmo
At the most abstract level, a data pipeline is a series of steps for processing data, where the type of data being processed determines the types and order of the steps. In other words, a data pipeline is an algorithm, and standard data types can be processed in a standard way, just as solving an algebra problem follows a standard order of operations.
  |  By Mezmo
OpenTelemetry (OTel) is an open-source framework designed to standardize and automate telemetry data collection, enabling you to collect, process, and distribute telemetry data from your system across vendors. Telemetry data is traditionally in disparate formats, and OTel serves as a universal standard to support data management and portability.
  |  By Mezmo
Here at Mezmo, we see the purpose of a telemetry pipeline is to help ingest, profile, transform, and route data to control costs and drive actionability. There are many ways to do that as we’ve previously discussed in our blogs, but today I’m going to talk about real-time alerting on data in motion, yes - on streaming data, before it reaches its destination.
  |  By Mezmo
This is going to be the first of at least two posts about how we, in the Mezmo platform team, use Pipeline to handle metrics. It’s an ongoing effort and everything might change as we move forward and learn, but this is our plan and vision.
  |  By Mezmo
In our webinar, Mastering Telemetry Pipelines: A DevOps Lifecycle Approach to Data Management, hosted by Mezmo’s Bill Balnave, VP of Technical Services, and Bill Meyer, Principal Solutions Engineer, we showcased a unique data-engineering approach to telemetry data management that comprises three phases: Understand, Optimize, and Respond.
  |  By Mezmo
Imagine a well-designed plumbing system with pipes carrying water from a well, a reservoir, and an underground storage tank to various rooms in your house. It will have valves, pumps, and filters to ensure the water is of good quality and is supplied with adequate pressure. It will also have pressure gauges installed at some key points to monitor whether the system is functioning efficiently. From time to time, you will check pressure, water purity, and if there are any issues across the system.
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I recently attended SRECon in San Francisco on March 18 - 20, a show dedicated to a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. While there were a lot of talks, I’ll focus on a few areas that gave me the most insight into how having the right data impacts an SREs and an organization’s success.
  |  By Mezmo
In our recent webinar hosted by Bill Balnave, VP of Technical Services, and Brandon Shelton, our Solution Architect, we discussed how data's continuous growth and dynamic nature cause DevOps and security teams to lose confidence in their data. The uncertainty about the content of telemetry data, concerns about its completeness, and worries about sending sensitive PII information in data streams reduce trust in the collected and distributed data.
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Operational telemetry data, events, logs, and metrics produced by applications and infrastructure have enormous potential to help organizations maintain and improve operational efficiency and customer service. However, unlocking the value of telemetry data has become a challenge for enterprises.
  |  By Mezmo
The explosion of telemetry data also massively increases your data bill. Teams also cannot control the data they do not understand and often lack the capabilities to act on it once it is understood. Mezmo makes it easier to understand and optimize your data. It helps reduce unnecessary noise and cost, and improve the quality of your data, so that your developers and engineers can consistently deliver on their service level objectives.
  |  By Mezmo
As data volumes proliferate and costs of data grow, it's becoming increasingly difficult to find the signal in all the noise. Telemetry data -- metrics, logs and traces -- are key to making sound, data-driven decisions, troubleshooting systems issues and maintaining uptime, but it's easy to get overwhelmed. Data profiling shows you exactly where your good data is coming from, how to save what's relevant and discard what's not and slash your data management and storage expenses.
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Mezmo is a cloud-based telemetry data pipeline that enables application owners to enrich, control, and correlate critical business data across domains.
  |  By Mezmo
Mezmo provides a pipeline to ingest, transform, and route telemetry data to control costs and drive actionability. Let data charge your digital transformation today.
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Mezmo, formerly LogDNA, is a comprehensive platform that makes observability data consumable and actionable. It fuels massive productivity gains for modern engineering teams at hyper-growth startups and Fortune 500 companies. Get insights where they matter most with real-time intelligence powered by Mezmo.
  |  By Mezmo
Hear from James Qualls, Director of Engineering at MANTL, on how LogDNA is empowering the developers on his team to own their monitoring. MANTL found that once developers could own their logging and monitoring, the infrastructure team and application architecture team were able to work better together. For MANTL, the ability to remove bottlenecks and scale using LogDNA meant they were able to respond to the needs of their customers quickly and enable more people to bank from the safety of their own homes.
  |  By Mezmo
Understand and manage increases in your logging through Index Rate Alerting and Usage Quotas. Gain insight into anomalous data spikes to quickly pinpoint the root cause of an increase so that you can choose to store or exclude contributing logs and set limits on the volume of logs stored.
  |  By Mezmo
Understand and manage increases in your logging through Index Rate Alerting and Usage Quotas. Gain insight into anomalous data spikes to quickly pinpoint the root cause of an increase so that you can choose to store or exclude contributing logs and set limits on the volume of logs stored.
  |  By Mezmo
Logging in the age of DevOps has become harder and more critical than ever because it is key to maintaining visibility and security in today's fast-moving, highly dynamic environments. With these needs and challenges in mind, Mezmo has prepared this eBook to offer guidance on how best to approach the log management challenges that teams face today.
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A growing number of log management solutions available on the market today are offered as cloud-only services. Although cloud logging has its benefits, many organizations have requirements that can only be fulfilled with self-hosted/on-premises log management systems.
  |  By Mezmo
Here's a complete guide covering all core components to help you choose the best log management system for your organization. From scalability, deployment, compliance, and cost, to on-prem or cloud logging, we identify the key questions to ask as you evaluate log management and analysis providers.
  |  By Mezmo
Despite having an extensive feature set and being open source, organizations are beginning to realize that a free ELK license is not free after all. Rather, it comes with many hidden costs due to hardware requirements and time constraints that easily add to the total cost of ownership (TCO). Here, we uncover the true cost of running the Elastic Stack on your own vs using a hosted log management service.

Log Management Modernized. Instantly collect, centralize, and analyze logs in real-time from any platform, at any volume.

Why Mezmo?

  • Powerful Logging at Scale: Get powerful log aggregation, auto-parsing, log monitoring, blazing fast search, custom alerts, graphs, visualization, and a real-time log analyzer in one suite of tools. We handle hundreds of thousands of log events per second, and 20+ terabytes per customer, per day and boast the fastest live tail in the industry. Whether you run 1 or 100,000 containers, we scale with you.
  • Easy, Instant Setup: Mezmo's SaaS log management platform sets up in under two minutes. Instantly collect logs from AWS, Docker, Heroku, Elastic, and more with the flexibility to deploy anywhere - cloud, multi-cloud, or self-hosted. Logging in Kubernetes? Logs start flowing in just 2 kubectl commands. Whether you wish to send logs via Syslog, Code library, or agent, we have hundreds of custom integrations.
  • Affordable: Mezmo’s simple, pay-per-GB pricing model eliminates contracts, paywalls, and fixed data buckets. Try our free plan, or only pay for the data you use with no overage charges or data limits. Our user-friendly, frustration-free interface allows your team to get started with no special training required, saving even more time and money.
  • Secure & Compliant: Our military grade encryption ensures your logs are fully secure in transit and storage. We offer SOC2, PCI, and HIPAA-compliant logging. To comply with GDPR for our EU/Swiss customers, we are Privacy Shield certified. The privacy and security of your log data is always our top priority, and we are ready to sign Business Associate Agreements.

Blazing fast, centralized log management that's intuitive, affordable, and scalable.