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By Mezmo
At Mezmo, we consider Understand, Optimize, and Respond, the three tenets that help control telemetry data and maximize the value derived from it. We have previously discussed data Understanding and Optimization in depth. This blog discusses the need for responsive pipelines and what it takes to design them.
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By Mezmo
One of the most common sentiments across the industry, let alone this world, is burnout. Burnout is prevalent, the World Health Organization (WHO) estimates it costs the global economy $1 trillion dollars a year. A Gallup poll equated that to $3,400 lost for every $10,000 of salary due to lack of productivity. This problem isn’t ending anytime soon either, with the global Cybersecurity industry alone having a talent shortage of 4 Million people.
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By Mezmo
In most situations, you will have several sources of telemetry data that you want to send to multiple destinations, such as storage locations and observability tools. In turn, the data that you are sending needs to be optimized for its specific destination. If your data contains Personally Identifying Information (PII) for example, this data will need to be redacted or encrypted before reaching its destination.
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By Mezmo
A couple of weeks back, I had the opportunity to participate in the Gartner Security and Risk Summit held in National Harbor, MD. While my colleague, April Yep, has already shared insights on the sessions she attended, this blog will delve into the emerging data privacy concerns and explore how telemetry pipelines can effectively tackle these challenges. Two key drivers behind current privacy concerns are the adoption of Gen AI and increasing government regulations.
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By Mezmo
I had the opportunity to present with Michael Fratto, Senior Research Analyst at S&P Global Market Intelligence, at a virtual event hosted by Redmond. We discussed how telemetry pipelines are critical in controlling telemetry data (logs, metrics, events, and traces). Mike shared excellent insights from his recent research survey that discussed the proliferation of observability tools in enterprises and the challenges organizations face in managing those tools.
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By Mezmo
Last week, on June 3 -5, I attended the Gartner Security and Risk Summit in National Harbor, MD to learn about the latest trends and happenings in security. One thing was clear, artifical intelligence (AI) is the hot topic along with the growing cybersecurity staff shortage due to burnout and lack of talent.
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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.
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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.
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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.
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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.
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By Mezmo
Ensuring access to the right telemetry data - like logs, metrics, events, and traces from all applications and infrastructure are challenging in our distributed world. Teams struggle with various data management issues, such as security concerns, data egress costs, and compliance regulations to keep specific data within the enterprise. Mezmo Edge is a distributed telemetry pipeline that processes data securely in your environment based on your observability needs.
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By Mezmo
Telemetry (Observability) pipelines play a critical role in controlling telemetry data (logs, metrics, events, and traces). However, the benefits of pipeline go well beyond log volume and cost reductions. In addition to using pipelines as pre-processors of data going to observability and SIEM systems, they can be used to support your compliance initiatives. This session will cover how enterprises can understand and optimize their data for log reduction while reducing compliance risk.
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By Mezmo
Telemetry or observability data is overwhelming, but mastering the ever-growing deluge of logs, events, metrics, and traces can be transformative.
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By Mezmo
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.
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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.
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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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By Mezmo
Mezmo is a cloud-based telemetry data pipeline that enables application owners to enrich, control, and correlate critical business data across domains.
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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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By Mezmo
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.
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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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By Mezmo
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.
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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.
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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.
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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.