Implement a Data Tiering Strategy
Tier observability and security data across multiple vendors with ease. Route the highest-value data to premium platforms while shipping a copy of all raw data to more cost-effective search or archival destinations. Control your data, reduce costs, and minimize noise.
"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.
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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
Vast quantities of low-value data are draining budgets
Companies are overflowing with telemetry data and struggling to limit ingress. As a result, teams have cobbled together imperfect, homegrown solutions to filter out large swaths of logs, metrics, and APM data, with the goal of extracting valuable insights from more manageable portions of the remaining data. This approach is fundamentally flawed, and creates a number of problems:
Critical Data Loss
It’s difficult to manually filter without risking loss of essential data.
Blurred Context
Filtering telemetry data reduces the quality of data insights and analytics.
Alignment Difficulties
Stakeholders don’t always agree on which methodology to use for filtering.
The Solution
End-to-end control over your telemetry data
Edge Delta processes your log data as it’s created, and our Visual Pipeline interface lets you easily route it to any number of downstream destinations, including other monitoring platforms and cold storage.
Pre-process logs at the source to adhere to platform-specific requirements and extract high-level patterns for analysis of the bigger picture.
Reduce costs by sending only high-value data to premium platforms, and ship a full copy of all raw data into S3 to support audit, compliance, and investigation use cases.
Limit noisy data by sending only the data you need to any given platform to enhance the insight and analysis processes.
Ready to take the next step?
Learn more about our use cases and how we fit into your observability stack.
Trusted By Teams That Practice Observability at Scale
“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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