Unified Logging Architecture
Use a single agent to collect, pre-process, and route log data.
"One thing that people are running into a lot is there may have been incidental PII in various systems. The ability to either filter that upfront, limit the scope of what you’re looking at, or shape it so that you don’t get personal data coming into the pipeline is going to be huge."
Alex K
Director of Security, Remitly
"With a tool like this, you are learning from unexpected things that happen and when people finally jump in, the context has already been gathered, so they aren’t running around trying to stitch the picture together."
Kyle Welsh
CIO, Seattle Bank
"DevOps is really hard when you’re doing 75% Ops, and 25% Dev. Automating your way out of log analysis, and some detection and reconciliation processes, is great."
Dallas Thornton
Director, Digital and AI, PACCAR
"Data fuels all of AI. With Edge Delta’s AI release, it’s not just a static set of data — the streaming aspect makes it very fresh and most accurate and relevant to the task at hand."
Mark Relph
Head of Data and AI, Partner GTM, AWS
"I’m very impressed by the sophistication, the innovation that’s happening here, and how valuable this is for the people that are really burdened by doing this work all the time.
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Ece Kamar, PhD
CVP, AI Frontiers Lab Microsoft Research
The Challenge
Logging Architectures Are Increasingly Complex
Teams use several tools to stay on top of data growth and meet the needs of different users. As a byproduct, logging architectures have become sprawling and difficult to scale. It’s not uncommon for teams to use a combination of:
Open-Source Agents
Lack performance and offer no fleet management capabilities.
Platform-Specific Agents
Create vendor lock-in issues and hinder flexibility.
Data pipelines
Homegrown versions filter out data in anticipation of what you’ll need.
The Solution
Collect, Pre-Process, and Route Data to Anywhere
Edge Delta supersedes the functionality of existing log collection and routing mechanisms. At the same time, it analyzes your log data upstream and provides visibility to help you build a scalable and sustainable architecture.
Collect data from any source and route to any – or multiple – destinations.
Reliably collect and route petabytes worth of data while supporting real-time analytics.
Manage and roll out agent configurations, and monitor the health of agents – all from our SaaS backend.
Ready to take the next step?
Learn more about our use cases and how we fit into your observability stack.
Data Pipelines
Gain Visibility Into All Log Data
Analyze data at the source – before anything is indexed downstream.
between.
Index Any Level of Fidelity
Meet each team’s needs with optimized datasets, full-fidelity logs, or anything in
Transform Datasets
Filter, parse, mask, or sample your data as it passes through Edge Delta.
“This is not just about doing what you used to do in the past, and doing it a little bit better. This is a new way to see this world of how we collect and manage our observability pipelines.”
Ben Kus, CTO, Box
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