Software Alternatives & Reviews

Loggly VS Apache Mesos

Compare Loggly VS Apache Mesos and see what are their differences

Loggly logo Loggly

The world's most popular cloud log management service delivers application intelligence. No Software. No Downloads. No Sweat. Free Trial!

Apache Mesos logo Apache Mesos

Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
  • Loggly Landing page
    Landing page //
    2023-01-05
  • Apache Mesos Landing page
    Landing page //
    2018-09-30

Loggly videos

Pingdom, Loggly, and Digital Experience Monitoring - SolarWinds Lab Episode #63

More videos:

  • Review - SolarWinds Lab Bits: Papertrail, Loggly in Observability Action

Apache Mesos videos

Reactive Stream Processing Using Apache Mesos

Category Popularity

0-100% (relative to Loggly and Apache Mesos)
Log Management
100 100%
0% 0
Developer Tools
14 14%
86% 86
Monitoring Tools
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Loggly and Apache Mesos

Loggly Reviews

10 Best Grafana Alternatives [2023 Comparison]
Another log management-focused Grafana alternative that we’re adding to this list is Loggly from SolarWinds. Loggly is a cloud-based service that allows users to transmit over HTTP/SYSLOg directly.
Source: sematext.com
11 Best Splunk Alternatives
Loggly is a free SaaS-based log monitoring application that can handle massive amounts of log data from any source. Loggly allows you to examine log events from various sources in real-time, including cloud platforms, databases, mobile apps, operating systems, and more. You can see a brief performance for systems across your environment on the dashboard, with metrics down to...
Top 5 NGINX Log Analyzer Tools – Driving Business Growth with Data
SolarWinds® Loggly® is a powerful cloud-based tool designed to simplify and speed up log aggregation, monitoring, and analysis. It centralizes logs gathered from a distributed environment to correlate data for better analysis. Loggly makes log analysis simpler and faster and requires minimal configuration to set up. It can collect logs from various sources without installing...
Top 21 Log Management Software Tools
Loggly is a cloud-based log management services that can dig deep into extensive collections of log data in real-time while giving you the most crucial information, on how to improve your code and deliver a better customer experience. It offers custom tags that let you find related errors throughout your log data. Also, it has data analysis dashboard that gives you a visual...
Best DataDog Alternatives, Replacements & Competitors for Application & Log Monitoring
Loggly also allows you to integrate with the common DevOps tools, so that your team can share log analytics and real-time stream event logs. Its integration to apps such as HipChat, Slack, Jira, PagerDuty allows higher team collaboration. You can even integrate it with your tools with Loggly’s powerful API.
Source: www.pcwdld.com

Apache Mesos Reviews

Docker Alternatives
Another Docker alternative is Apache Mesos. This tool is designed to leverage the features of modern kernels in order to carry out functions like resource isolation, prioritization, limiting & accounting. These functions are generally carried out by groups in the Linux or zones in the Solaris. What Mesos does is, it provides isolation for the Memory, I/O devices, file...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Apache Mesos should be more popular than Loggly. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Loggly mentions (1)

  • “Print” Is the Only Debug Tool You Need
    Print works on Staging and Production: It’s not easy to work with debug tools when you’re dealing with code running on the server. On the other hand, print statements work there too. Even if you don’t have access to STDOUT, you can write statements to a file or send them to a logging server/service (e.g, Loggly). - Source: dev.to / almost 2 years ago

Apache Mesos mentions (7)

  • Upgrading Hundreds of Kubernetes Clusters
    When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / about 1 month ago
  • The 2024 Web Hosting Report
    In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing... - Source: dev.to / 3 months ago
  • World of Containers: Kubernetes vs. Docker
    Distribution of containers to servers, clusters, and data centers Keeping applications up and running with the required number of instances Upgrading applications without downtime These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm... - Source: dev.to / 10 months ago
  • HelenOS a microkernel-based, multiserver OS from scratch
    Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 1 year ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Loggly and Apache Mesos, you can also consider the following products

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

BOINC - BOINC is an open-source software platform for computing using volunteered resources

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...