Logentries announced a new Logging Container built for Docker 1.5 featuring easy collection and analysis of container-level performance stats and system-level log data.
The new Logentries Container features Docker’s new stats API and addresses existing challenges with logging on Docker, enabling easy access to collecting and visualizing important server and resources usage stats. Additionally, Logentries has released a new Community Pack for Docker that offers users immediate access to pre-configured searches, tags, alerts, and data visualizations. The Community Pack makes Docker container log data easy to aggregate, search and visualize for deeper understanding of Docker environments.
Nick Stinemates, Head of Business Development & Technical Alliances, Docker, said: “The Logentries logging container for Docker uses the new stats API to enable our users to easily collect key per container performance statistics around CPU, memory, network and storage I/O and to analyze them to understand important information and trends.”
“There is a huge shift in organizations moving to containerized, distributed application architectures,” said Cian Ó Maidín, CEO, nearForm. “At nearForm we are helping organizations design and build micro-service architectures everyday. We were excited to work with Logentries to build this integration and provide Docker users with better visibility into their Docker environments.”
Containerization and distributed applications are changing how Development and Operations teams design, build and monitor systems. Historically there has been little native logging support for collecting logs from containers, especially at large scale, limiting users’ ability to monitor and troubleshoot their production environments. For the first time, users now have access to a multi-dimensional approach to understanding container utilization and performance by logging stats via the new Docker stats API. With access to these Docker stats, users can correlate this valuable data with other structured log data sources (e.g. JSON) to produce deeper visibility into Docker environments.
The Logentries Container and Community Pack for Docker provide users with:
- A specialized Docker container for log collection and monitoring
- Centralized logging capabilities for Docker environments
- Container-level resource usage statistics such as CPU, Memory, Network, etc.
- Out-of-the-box saved searches, tags, alerts and data visualizations
“The new Docker stats API is a big step forward in enabling customers to collect important information about their Docker containers and the apps running on them,” said Trevor Parsons, Co-founder and Chief Scientist, Logentries. “With the Logentries new logging container, users can easily capture this data, correlate it with other important system metrics, providing required visibility into production Docker environments.”
The Logentries Docker Container was developed together with the nearForm team, leaders in Node.js and Docker development. Logentries and nearForm jointly tackled the challenge of getting deeper insight into Docker environments by enabling users to easily collect and analyze valuable container-level stats. The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate data across their infrastructure to better understand application usage and performance, security and performance issues, and user behavior.
The Latest
As businesses and individuals increasingly seek to leverage artificial intelligence (AI), the cloud has become a critical enabler of AI's transformative power. Cloud platforms allow organizations to seamlessly scale their AI capabilities, hosting complex machine learning (ML) models while providing the flexibility needed to meet evolving business needs ... However, the promise of AI in the cloud brings significant challenges ...
The business case for digital employee experience (DEX) is clear: more than half (55%) of office workers say negative experiences with workplace technology impact their mood/morale and 93% of security professionals say prioritizing DEX has a positive impact on an organization's cybersecurity efforts, according to the 2024 Digital Employee Experience Report: A CIO Call to Action, a new report from Ivanti ...
For IT leaders, a few hurdles stand in the way of AI success. They include concerns over data quality, security and the ability to implement projects. Understanding and addressing these concerns can give organizations a realistic view of where they stand in implementing AI — and balance out a certain level of overconfidence many organizations seem to have — to enable them to make the most of the technology's potential ...
For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems? ...
The OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice ... Regardless of experience level, there's a clear need for more support and continued education ...
A silo is, by definition, an isolated component of an organization that doesn't interact with those around it in any meaningful way. This is the antithesis of collaboration, but its effects are even more insidious than the shutting down of effective conversation ...
New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries ... Here are 8 key takeaways from the report ...
For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution ... But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones ...
The edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure ...
