Top 10 Cloud Monitoring tools


Cloud monitoring tools allow IT administrators to view entire cloud infrastructure in real-time.
1
New Relic screenshot
New Relic gets you immediate code-level visibility to build faster software, create better products, and delight your customers. New Relic gets you immediate code-level visibility to build faster software, create better products, and delight your customers.
2
Splunk screenshot
We make machine data accessible, usable and valuable to everyone—no matter where it comes from. You see servers and devices, apps and logs, traffic and clouds. We see data—everywhere. Splunk offers the leading platform for Operational Intelligence. It enables the curious to look closely at what others ignore—machine data—and find what others never see: insights that can help make your company more productive, profitable, competitive and secure.
3
Datadog screenshot
Datadog is a monitoring service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
4
Loggly screenshot
Solve Operational Problems Faster. Make all of your logs accessible to everyone in one place. No more logging into individual machines. Use searches, filters and graphs to spot trends and narrow down potential root causes. Set up in minutes. No software or agents to install. Works with all standard logging facilities.
5
SolarWinds screenshot
Monitor & manage your network with unified visibility into fault, performance, availability, traffic, & configurations. Get instant visibility across all system resources that can impact application performance and fix them fast. Find, analyze & resolve your toughest performance issues on SQL Server, Oracle, Sybase, and DB2. Automate 24x7 security monitoring and response to stop threats in their tracks and maintain continuous compliance.
6
Logstash screenshot
logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). Speaking of searching, logstash comes with a web interface for searching and drilling into all of your logs.
7
Amazon CloudWatch screenshot
Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, and set alarms. Amazon CloudWatch can monitor AWS resources such as Amazon EC2 instances, Amazon DynamoDB tables, and Amazon RDS DB instances, as well as custom metrics generated by your applications and services, and any log files your applications generate.
8
Sumo Logic screenshot
Sumo Logic cloud log management solution processes ALL your production application logs and server log data, analyzes them in real-time and delivers actionable results at a fraction of the cost of on-premise solution.
9
ScienceLogic screenshot
ScienceLogic’s solution is an all-in-one IT monitoring software product, comprehensive and complete in a single, unified platform. Unlike some companies, we do not sell you a la carte, piecemeal selections. To help you understand the many powerful components of our solution, we have broken out descriptions of features and capabilities that other companies call (and sell) as individual products:
10
Graphite screenshot
Graphite is an enterprise-scale monitoring tool that runs well on cheap hardware. Graphite does two things: Store numeric time-series data and Render graphs of this data on demand
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11
Stackdriver screenshot
Stackdriver makes it easy to identify issues and correlate them with changes in your environment. View your entire stack - system, infrastructure, app and custom metrics - in one simple monitoring-as-a-service solution. Spend less time dealing with commonly recurring AWS issues - let us fix them automatically
12
Scalyr screenshot
Server Log Monitoring Tool. We built the log monitoring tool we've always wished for. Scalyr is server log monitoring and analysis built for engineers. Turn chaotic logs and system metrics into actionable data.

Latest news about Cloud Monitoring tools


2019. Splunk acquired cloud monitoring service SignalFx


Splunk, the data processing and analytics company, has acquired SignalFx for a total price of about $1.05 billion. SignalFx provides real-time cloud monitoring solutions, predictive analytics and more. The acquisition will likely make Splunk a far stronger player in the cloud space as it expands its support for cloud-native applications and the modern infrastructures and architectures those rely on. SignalFx will support Splunk's commitment to giving customers one platform that can monitor the entire enterprise application lifecycle.


2017. Splunk expands machine learning capabilities across platform



Cloud monitoring provider Splunk is enhancing machine learning capabilities to make it easier to surface the data that’s most critical. The Splunk Machine Learning Toolkit has several new key features designed for the DIYers. First of all, there is a new data cleaning tool to get the data ready for the model. Next, there are machine learning APIs to import open source and proprietary algorithms and apply them in Splunk. Finally, there is a machine learning management component to integrate user permissions directly from Splunk into custom machine learning applications. For those who would prefer Splunk to do some of the work for them, there are also new goodies including Splunk ITSI 3.0, which uses machine learning to help identify issues and prioritize them based on how critical a given operation is to the business.




2016. Splunk unveiled 300 machine learning algorithms for Operational Intelligence



Operational Intelligence platform provider Splunk has expanded in a significant way the early version of machine learning in its platform to deliver new services and capabilities. It has added machine learning to the core of its platform with a machine learning toolkit that can be installed as a free app on top of the Splunk Enterprise platform. This toolkit provides 300 algorithms for machine learning, 27 of which are pre-packaged out of the box and focus on such categories as clustering, recommendations, regression, classification and text analytics. Splunk has also enhanced the machine learning in its IT Service Intelligence (ITSI) platform it introduced this time last year.


2015. Splunk acquired machine learning startup Caspida



Cloud monitoring provider Splunk has purchased Caspida, the startup that uses machine learning techniques to help identify cyber-secruity threats from inside and outside the company. Splunk helps companies deal with the onslaught of machine data coming from IT systems using data science techniques and automation to make sense of it. The company has a security product called Splunk App For Enterprise Security. With this purchase, Splunk is adding a new tool to its security arsenal to beef up the ability to locate threats using the machine learning techniques that Caspida has developed. It can apply data science to look more closely at the usage of every person using the system, even if they appear to be a valid user with proper credentials. Splunk’s general approach is a solution that is data science driven, that provides automated detection and uses machine learning to get smarter over time.


2015. Cloud monitoring service Datadog fetched $31M



Datadog, which promises to let companies see how well their various cloud deployments are performing, now has $31 million in fresh Series C funding. The company, which claims Netflix, Spotify, EA, and, Mercadolibre as customers, has 75 employees now, up from 25 last year, and plans to double or triple headcount next year. Datadog faces competitors including Boundary, Server Density and Stackdriver (which was purchased by Google last year).