IT operations departments in larger enterprises often use 10-15 monitoring tools across different teams to track the health and availability of their core business services. Rather than helping ITOps teams gain a comprehensive view of their infrastructure, an overload of monitoring tools tends to only compound organizational silos and limit insights for incident troubleshooting. Yes, there is too much of a good thing.
SQL is great, but sometimes you may need something else. By and large, the prevalent type of data that data engineers deal with on a regular basis is relational. Tables in a data warehouse, transactional data in Online Transactional Processing (OLTP) databases — they can all be queried and accessed using SQL. But does it mean that NoSQL is irrelevant for data engineering?
Datadog was founded in 2010 by Olivier Pomel and Alexis Le-Quoc. They develop the Datadog to reduce the friction they experienced between system administration teams and developers. Together they raised over $648 million to bring its valuation to $7.8 billion by the end of 2019. Let’s dig deep into Datadog to know its competitors.
LogicMonitor dashboards are truly customizable — customizable enough to allow users to visualize virtually anything. Dashboards provide our users with a wide array of capabilities, from capacity planning and service availability notifications to root cause analysis and IT spend forecasting capabilities. We’ve seen LogicMonitor users get radically innovative when it comes to creating unique dashboards that add value to their lives both in and outside of work.
Before we start, please take a moment to appreciate what day it is. IoT, or Internet of Things, has been a buzzword for longer than usual. Buzzwords usually have two common properties, and then their paths fork. I like thinking about buzzwords and about the useful aspects of what they mean. The most recent public example focuses on another buzzword currently in its hype phase: observability.
Regardless of the tech stack used, many developers have already used Redis or, at least, heard of it. Redis is specifically known for providing distributed caching mechanisms for cluster-based applications. While this is true, it’s not its only purpose. Redis is a powerful and versatile in-memory database. Powerful because it is incredibly super fast. Versatile because it can handle caching, database-like features, session management, real-time analytics, event streaming, etc.
Do you know who interacts with whom, when, and for how long and how frequently in your network? Network administrators must have clear visibility of bandwidth utilization using a robust bandwidth monitoring tool, to find out slow loading yet crucial connections, to plan out the capacity of network properly or to control the Quality of Service.
A feature that’s not available in the Monitive service, but has proven to be a useful helper is the ability to quickly check a website from several locations around the world. Just head out to the homepage and type in a website, with or without https://. Press Test Availability and you instantly get an overview of how your website is performing from several locations around the world.
Last year, we released native tracing for AWS Lambda through Datadog APM to provide deep visibility into serverless functions and surface performance issues such as cold starts and errors, without any added latency. But Lambda functions are only one piece of the puzzle in a rapidly growing serverless ecosystem, which includes message queues, data streams, notification services, and more.
