Loggly 3.0 Introduced
October 04, 2017
Share this

Loggly announced Loggly 3.0, a unified log analysis and monitoring solution designed for companies building modern software applications running on private or public clouds and serverless architectures.

Combining new metrics and monitoring capabilities with deep log analysis and one-click access to source code, Loggly 3.0 gives DevOps teams one-stop visibility to identify and solve problems, collaborate on fixes, and report to stakeholders.

“Our customers are facing exploding volumes of machine data generated by dynamic infrastructure, microservices, and devices, as well as the constant change of continuous delivery,” said Manoj Chaudhary, CTO at Loggly. “Their monitoring toolkits have grown to address the data overload, sometimes creating even more complexity. This is what is driving convergence in the DevOps ecosystem between logs and monitoring. Loggly 3.0 offers a simple and comprehensive path to dealing with data and tool overload, and it builds up DevOps teams’ efficiency and collaboration.”

Loggly customers can now address three distinct needs with a single cloud-based service:

- Proactive monitoring for potential issues, anomalies, or suspicious activity across their code and infrastructure. New charts and dashboards reveal the full story and can be created in just a few clicks. In addition to the ability to display any log-resident or Amazon CloudWatch metric, Loggly will support metrics collection using the collectd daemon in the fourth quarter of 2017.

- Deep-dive investigations, discovering root causes by searching and filtering on individual log events. A new integration with GitHub connects insights from dashboards to logs to individual lines of source code, without any additional instrumentation. The GitHub integration initially supports Java, JavaScript, and Python.

- Data analysis and visualization to characterize software performance, answer key business questions, spot trends, report on KPIs, and track SLA compliance. Users can work in Loggly without support from a dedicated administrator.

The new GitHub integration builds on previous Loggly integrations designed to improve teamwork by incorporating data and analysis within the tools that software teams use every day, including New Relic, PagerDuty, Slack, Atlassian HipChat, and Atlassian Jira Software.

Benefits of Loggly 3.0 include:

- Reduced complexity with one unified solution for monitoring, visualization, and log analysis.

- Improved service quality through proactive monitoring of metrics across the entire software stack, along with the deep analysis needed to know where to make improvements.

- Shorter mean time to resolution (MTTR) through rapid root cause analysis and tighter connections between metrics and relevant events.

- Better teamwork through common insights on shared dashboards, comprehensive reporting, and integration with the DevOps toolchain.

Share this

The Latest

October 16, 2017
Hurricane season is in full swing. With the latest incoming cases of mega-storms devastating the Southeastern shoreline, communities are struggling to restore daily normalcy. People have been stepping up and showing remarkable strength and leadership in helping those affected. However, there is another area that we need to remember in these trying times – and that is businesses continuity ...
October 12, 2017

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018. The next trends focus on blending the digital and physical worlds to create an immersive, digitally enhanced environment. The last three refer to exploiting connections between an expanding set of people and businesses, as well as devices, content and services to deliver digital business outcomes ...

October 11, 2017

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018. The first three strategic technology trends explore how artificial intelligence (AI) and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years ...

October 10, 2017
This is the sixth in my series of blogs inspired by EMA's AIA buyer's guide — directed at helping IT invest in Advanced IT Analytics (AIA), what the industry more commonly calls "Operational Analytics." In this blog, I examine scenario-related shopping cart objectives for AIA. At EMA, we evaluated seven unique scenarios relevant to AIA adoptions. Our scenarios included agile/DevOps, Integrated security, change impact awareness, capacity optimization, business impact, business alignment and unifying IT ...
October 06, 2017

In the Riverbed Future of Networking Global Survey, more than half of the respondents acknowledged that achieving operational agility is critical to the success of a modern enterprise, and next-generation networks as well as the technology to support them are key to reaching this goal ...

October 05, 2017

Legacy infrastructures are holding back their cloud and digital strategies, according to the Riverbed Future of Networking Global Survey 2017. Nearly all survey respondents agree that legacy network infrastructure will have difficulty keeping pace with the changing demands of the cloud and hybrid networks ...

October 04, 2017

Digital disruptors are emerging in all industries, and the need for CIOs to embrace digital transformation is urgent, according to Gartner ...

October 02, 2017

Environments indicate "where" the AIA solutions we investigated can be applied. All 13 of the solutions we investigated support cloud for performance, core infrastructure, and application performance and availability. Mainframe had the support of six of our respondents, and IoT and cloud for change and capacity were not yet prime areas of focus for most of the vendors in our AIA buyer's guide ...

September 29, 2017

Cost, overhead, and time to value are often key challenges in adopting AIA solutions. In the past, these factors have often been especially onerous. But we saw strong levels of improvement among many vendors, and surprising areas of innovation among others ...

September 28, 2017
Most senior executives recognize that unified communications and collaboration (UC) are integral applications on the digital transformation path. As a result, many companies are in the process of replacing legacy voice and video infrastructure and disparate messaging and collaboration tools with next-generation UC systems, including cloud-based unified communication as a service (UCaaS). With UC, companies can accelerate time-to-revenue, improve productivity and reduce capex and opex – the three pillars of return on investment (ROI) that drive corporate strategy ...