Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster. It is natively integrated with Google Cloud Platform, Amazon Web Services, and popular open source packages. Stackdriver provides a wide variety of metrics, dashboards, alerting, log management, reporting, and tracing capabilities.
These are the organizations I come across in my research who are doing interesting things in the API space. They could be companies, institutions, government agencies, or any other type of organizational entity. My goal is to aggregate so I can stay in tune with what they are up to and how it impacts the API space.
Nagios now known as Nagios Core, is a free and open source computer-software application that monitors systems, networks and infrastructure. Nagios offers monitoring and alerting services for servers, switches, applications and services. It alerts users when things go wrong and alerts them a second time when the problem has been resolved.
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, set alarms, and automatically react to changes in your AWS resources. 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. You can use Amazon CloudWatch to gain system-wide visibility into resource utilization, application performance, and operational health. You can use these insights to react and keep your application running smoothly.
HashiCorp is a company based in San Francisco that solves development, operations, and security challenges in infrastructure so organizations can focus on business-critical tasks. HashiCorp builds tools to ease these decisions by presenting solutions that span the gaps. Our tools manage both physical machines and virtual machines, Windows, and Linux, SaaS and IaaS, etc. And we're committed to supporting next-generation technologies, as well.
Logentries is the leading real-time log management and analytics service built for the cloud, making business insights from machine-generated log data easily accessible to development, IT and business operations teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 35,000 worldwide users.
Loggly is a leading provider of a Log Management in the Cloud platform for log management and data analysis. Loggly’s cloud-based service enables users to monitor, debug and troubleshoot their IT infrastructure, applications and business processes. Headquartered in San Francisco, Loggly has over 2500 customers and is backed by True and Trinity Ventures, and Matrix Partners.
Since 1999, BlackStratus has been providing reliable and innovative security information Events (SIEM) products and services. Through our years of experience with the world’s leading managed service providers (MSPs) and enterprises, we're able to offer the most highly evolved security and compliance management platform in existence and unparalleled support to help MSPs develop new or improve their current cloud security-as-a-service business.
All app logs, text log files, and syslog. One place. It's realtime. Use a browser, command-line, or API. Get alerted instantly. Detect trends and archive forever. Instant log visibility. Use Papertrail's time-saving log tools, flexible system groups, team-wide access, long-term archives, charts and analytics exports, monitoring webhooks, and 45-second setup. Realize value from logs you already collect. Track down customer problems, error messages, app requests, slow DB queries, config changes.
Google Service Control is a Google Cloud Platform infrastructure service. It provides control plane functionality to managed services, such as logging, monitoring, and status checks. It is widely used by Google APIs and Google Cloud Endpoints. This page provides an overview of what it does and how it works.
Funnel all logs, metrics, and machine events into a single hub. Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. We believe that with the right information, driving your business to success is much easier. Machine data is that kind of incredibly valuable information, coming from the very core of your business operations. So we created Logmatic.io; a friendly platform continuously evolving to make your life simpler.
Amazon Elasticsearch Service makes it easy to deploy, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Kinesis Firehose, AWS Lambda, and Amazon CloudWatch so that you can go from raw data to actionable insights quickly.
AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing.
Amazon Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. Amazon Kinesis Analytics enables you to create and run SQL queries on streaming data so that you can gain actionable insights and respond to your business and customer needs promptly. Amazon Kinesis Analytics takes care of everything required to run your queries continuously and scales automatically to match the volume and throughput rate of your incoming data. With Amazon Kinesis Analytics, you only pay for the resources your queries consume. There is no minimum fee or setup cost.
If you think there is an organization I should have listed here feel free to tweet it at me, or submit as a Github issue. Even though I do this full time, I'm still a one person show, and I miss quite a bit, and depend on my network to help me know what is going on.