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Edge Delta, a data observability company, recently raised $63 million to focus on its distributed approach to data observability.

This distributed approach is designed to provide greater visibility into data and insights into applications, allowing organisations to understand the performance of their applications and quickly diagnose issues.

In this article, we will look at what Edge Delta is, how it works and why it is a valuable tool for companies looking to improve their data observability.

Edge Delta rakes in $63M for its distributed approach to data observability

Edge Delta is a US-based startup specialising in data observability technology. It has raised more than $63 million of venture capital funding to develop its distributed approach to data observability, allowing users to monitor, analyse, and troubleshoot node-level operations. This helps organisations gain visibility and optimise all their events, activities and applications, while leveraging the power of their existing investments in cloud infrastructure and IT security systems.

By utilising an open source distributed system called Edge Data Platform (EDP), Edge Delta allows users to collect, store and analyse voluminous amounts of real-time data much faster than traditional systems. In addition, EDP allows users to streamline multiple services into one framework with no additional storage costs, making it simpler for engineers to quickly identify incidents or anomalies that may go unnoticed for days in a traditional setup or clustered environment. Moreover, EdgeDelta provides seamless integration with popular open source monitoring tools and seamlessly automated processes for building custom Application Performance Monitoring (APM) solutions.

Edge Delta’s ability to reduce operational cost by offering a unified experience across multiple teams gives its technology an edge over competitors. Additionally, its ability to create real-time insights from structured and unstructured data from millions of nodes makes it suitable for businesses seeking increased high performance scalability. With Edge Deltas cloud-native architecture companies can lower their total cost of ownership while unlocking new opportunities by gaining greater visibility across operations and rapid iteration on services offered on the platform thus repositioning better services at a higher speed than its competitors. This enables companies to provide superior customer experiences along with improved deployment times which helps them tap into larger market share by staying ahead of competition.

What is data observability?

Data observability is a critical element in the management of any IT system and it is becoming increasingly important as organisations begin to more heavily rely on distributed systems. Data observability is essentially the ability to monitor the performance of an IT system by tracking the performance of its systems and services and their connections with each other. It involves collecting, analysing and managing data from different points across a distributed system to gain insights that can lead to remediation strategies. This can be done manually or automatically using specialised data collection tools or AI-powered analytics platforms.

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Edge Delta recently announced that they have secured $63 million in Series B funding round to help them continue developing their ambitious project of creating an enterprise-scale platform for distributed data observability. Their solution uses a machine learning-driven analytics platform that gives customers insights into their operational status, risks and opportunities within their many connected services. By having visibility into what’s happening inside the various systems and services running across multiple infrastructure providers, customers can actively monitor emerging issues and quickly take action when necessary..

With Edge Delta’s end-to-end data gathering solution, customers can create automated controls to standardise key performance metrics across all areas of their environment – giving them more insight into how their system works together.

Edge Delta’s Distributed Approach

Edge Delta, a leading provider of distributed observability solutions, recently announced that they have raised $63 million in a Series B fundraising round.

This strategic investment will enable Edge Delta to expand its distributed approach to data observability and monitoring.

Dig deeper into Edge Delta’s distributed approach and potential benefits.

How Edge Delta’s distributed approach works

Edge Delta provides users with complete visibility into their digital data by using a distributed approach to data observability. This approach is designed to meet the demands of modern apps, which require real-time monitoring and control. It enables customers to respond quickly and accurately to business changes in their environment while providing insights for better decisions.

By combining the best distributed systems and analytics, Edge Delta can create a unified view of their environments while enabling users to take action quickly without having a single point of failure in their data observability chain. Its distributed approach allows users to feed multiple sources into its unified pipeline, providing comprehensive coverage and insights in one place. In addition, Edge Delta’s platform is built on top of edge computing architecture – allowing for better flexibility, scalability, and latency reductions for its customers – making it easier for them to take advantage of real-time analytics across multiple tiers and applications within an organisation.

The solution’s modular building blocks also allow customers to easily select from various components that enable greater configurability while also providing out-of-the-box integration with popular cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Application Engine (OAE), Kubernetes, InfluxData/Chronograf, Apache Kafka/Kafka Connector/Kafka Streams, Apache Spark/Spark Streaming/Apache Flink. This gives them the flexibility necessary for fast global deployments or localising interactions with connected devices in specific locations worldwide. With Edge Delta’s multi-tenant deployment model organisations can remotely configure business rules associated with various events happening at any time on any system connected by its platform or via its API or SDKs allowing them full control over system events from any remote location giving them complete observability including archiving historical records necessary for tracking changes over time as well as enabling near real time troubleshooting when needed. Additionally, as organisations expand worldwide they can ensure their data remains secure by setting global access permission sets governed locally instead of managing each remote site separately.

Benefits of Edge Delta’s distributed approach

Edge Delta has developed a distributed approach to data observability that offers several important benefits for businesses of all sizes. By creating a highly resilient system capable of managing large amounts of data and providing real-time visibility into critical business systems, Edge Delta provides businesses with an effective way to monitor and measure system performance while enabling valuable insights into customer behaviour.

The distributed nature of the Edge Delta platform allows it to span across multiple clouds, on-premises infrastructure, networks and sites—breaking down data silos and giving organisations powerful flexibility. As a result, organisations can leverage insights gained from Edge Delta to make decisions in near real-time, gaining greater efficiency benefits through better system utilisation. The platform’s distributed architecture also ensures it can scale rapidly as an organisation’s needs grow.

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Other benefits include reduced downtime due to increased visibility into systems health and improved security; the ability to track users and control access rights; dashboards that provide access to critical information from all locations; predictive analytics capabilities for proactive problem solving; built-in automation tools for custom alerts and notifications; support for log searching/compression/aggregation as well as streaming ingestion of telemetry/metrics data across a range of devices. Edge Delta also integrates with existing enterprise solutions such as Splunk, Elasticsearch, Grafana, Apache Kafka and Apache Cassandra for easy provisioning via application orchestration platforms such as Kubernetes and OpenShift.

Thanks to its comprehensive approach, Edge Delta’s solution is well equipped to meet the needs of modern enterprises seeking increased agility in their business operations while embracing digital transformation initiatives.

Edge Delta’s Recent Funding

Edge Delta, a startup focused on distributed data observability, recently announced that it has raised a mammoth $63 million in a funding round backed by investors like SoftBank, Insight Partners and Zillow Group. This marks a major milestone in Edge Delta’s journey to revolutionising the data observability space with its distributed approach.

Look at what Edge Delta does and how this funding will help the firm reach greater heights.

Overview of Edge Delta’s recent funding round

Edge Delta, the company focused on simplifying how teams observe and monitor their data pipelines, has just scored $63 million in a Series C funding round. Led by existing investor NEA, the venture capital firm that also backed Airbnb and GitHub, with participation from Riverwood Capital and YL Ventures, this marks Edge Delta’s third consecutive round of funding.

The investment brings Edge Delta’s total raised to date up to $100 million. The Series C funds will go toward expanding the company’s product capabilities for observability across distributed systems and its reach in international markets. The new funds will also support continued efforts to build a new category in the insights technology space.

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Founded in 2017 by Tomer Levy and Michael Wasylenko, Edge Delta’s mission is to simplify observability for modern software applications to help developers better understand data pipelines performance at any given time. More than 1,000 companies have adopted its distributed platform with deployments across private and public clouds like Amazon Web Services (AWS) and Microsoft Azure environments. Microsoft recently named Edge Delta a preferred partner cluster monitoring solution on its Azure cloud platform.

In addition to traditional metrics tracking services offered by many existing software development providers, Edge Delta helps businesses gain visibility into their distributed system data pipelines even if they are spread out over multiple cloud deployments or different geographies. This capability is incredibly valuable in today’s data-driven economy where physical location should not limit access and control of information generated within a business’ infrastructure environment.

What the funding will be used for

Edge Delta’s latest round of funding, a Series B of $63M led by Sequoia Capital, will be used to fuel the expansion of its distributed approach to data observability. This approach allows customers to quickly and securely manage changing customer demands and demands on infrastructure. In addition, Edge Delta will use this funding to accelerate its product roadmap and expand its team globally to provide greater reach, scalability and support for customers worldwide.

This new funding will enable Edge Delta to onboard additional customers faster, so they can enjoy immediate access to operational insights at petabyte scale. Despite the rapid growth of cloud technology, many organisations are looking for other options when managing their data operations due to scalability and data governance limitations associated with the cloud. Leveraging this new capital will enable Edge Delta’s distributed approach, providing cloud-like scalability across on-premises hardware with enterprise-grade data protection for user privacy and data governance compliance requirements.

In addition, these funds allow Edge Delta’s engineering team to extend their platform capabilities for users who wish for greater control over their deployments and applications in production environments; such as non-JVM debugging and visibility into non-HTTP services with custom protocols in proprietary binary formats. This enhanced flexibility within their observability platform can help customers reduce troubleshooting time while allowing them more granular insight into applications or services managed across hybrid clouds.