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Logentries Integrates With Hosted Graphite

Logentries announced a Hosted Graphite integration that enables users to easily extract their most important log level metrics and display them visually in a Hosted Graphite environment. From server stats, to application stats, to application-user behavior metrics, the integration plugs valuable metrics generated from log data into a centralized dashboard providing insightful correlation and analysis with other critical business metrics.

Today, log data is used as a shared source of information across all aspects of a business, from development, to operations, to marketing, to business management. Similarly, metrics extracted from other key system components are regularly exposed via Graphite, a popular open source real-time graphing system. By extracting log level metrics from the Logentries service and displaying it in Hosted Graphite’s real-time monitoring dashboard, users can consolidate their monitoring into one single location and easily correlate across key business metrics.

“Managing a real-time news website requires that our Ops team is able to monitor and analyze performance and user experience in real-time,” said Andrew Mullaney, CTO and Co-Founder, NewsWhip. “The Logentries and Hosted Graphite integration enables us to do this by bringing log level data into centralized, dynamic dashboards where we can use it to monitor across applications and users, and also correlate with broader system-level metrics and KPIs.”

With Logentries’ Hosted Graphite integration, users can:

- View various log data streams (server memory, CPU, exception count) in one hosted, real-time graph.

- Export unlimited metrics from Logentries into Hosted Graphite.

- Correlate important log data across all metrics within a Hosted Graphite environment.

“Logs and metrics have always been two sides of the same monitoring coin, and it is great to be able to bring them together,” said Dave Concannon, CEO, Hosted Graphite. “The ability to correlate Logentries’ log data with application and system metrics from Hosted Graphite gives our users a detailed, holistic view of how their software is performing.”

“The modern Ops team requires data from a range of different tools and data sources to give them a complete picture of their complex environments,” said Trevor Parsons, Chief Scientist and Co-founder, Logentries. “Both log data and platforms like Hosted Graphite are key components in the modern Ops toolkit and allow for a consolidated view. Connecting these technologies enables easy correlation to help identify and understand important trends, key performance indicators, and system behaviors.”

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Logentries Integrates With Hosted Graphite

Logentries announced a Hosted Graphite integration that enables users to easily extract their most important log level metrics and display them visually in a Hosted Graphite environment. From server stats, to application stats, to application-user behavior metrics, the integration plugs valuable metrics generated from log data into a centralized dashboard providing insightful correlation and analysis with other critical business metrics.

Today, log data is used as a shared source of information across all aspects of a business, from development, to operations, to marketing, to business management. Similarly, metrics extracted from other key system components are regularly exposed via Graphite, a popular open source real-time graphing system. By extracting log level metrics from the Logentries service and displaying it in Hosted Graphite’s real-time monitoring dashboard, users can consolidate their monitoring into one single location and easily correlate across key business metrics.

“Managing a real-time news website requires that our Ops team is able to monitor and analyze performance and user experience in real-time,” said Andrew Mullaney, CTO and Co-Founder, NewsWhip. “The Logentries and Hosted Graphite integration enables us to do this by bringing log level data into centralized, dynamic dashboards where we can use it to monitor across applications and users, and also correlate with broader system-level metrics and KPIs.”

With Logentries’ Hosted Graphite integration, users can:

- View various log data streams (server memory, CPU, exception count) in one hosted, real-time graph.

- Export unlimited metrics from Logentries into Hosted Graphite.

- Correlate important log data across all metrics within a Hosted Graphite environment.

“Logs and metrics have always been two sides of the same monitoring coin, and it is great to be able to bring them together,” said Dave Concannon, CEO, Hosted Graphite. “The ability to correlate Logentries’ log data with application and system metrics from Hosted Graphite gives our users a detailed, holistic view of how their software is performing.”

“The modern Ops team requires data from a range of different tools and data sources to give them a complete picture of their complex environments,” said Trevor Parsons, Chief Scientist and Co-founder, Logentries. “Both log data and platforms like Hosted Graphite are key components in the modern Ops toolkit and allow for a consolidated view. Connecting these technologies enables easy correlation to help identify and understand important trends, key performance indicators, and system behaviors.”

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...