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Monitoring

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

The OpsRamp Monitor: Big Tech, Securing DevOps, AIOps Growth

As Covid-19 restrictions and predictions march on unabatedly, people are starting to think about what may be long-lasting changes to industries. The tech industry is a mixed bag: it all depends on your perspective. Layoffs are becoming commonplace, especially in BtoC tech startups: Lyft and AirBnB recently announced massive cuts. The giants-- which include the usual suspects Amazon, Microsoft, Facebook, Google, Apple, Netflix--are faring remarkably well, as discussed in a recent New York Times op-ed.

AWS Lambda Monitoring - what to keep an eye on with serverless

AWS Lambda is the leading serverless computing solution and is one of AWS’ most successful products, to date. Its popularity is in large part because of the way it makes development easier and faster. Lambda completely abstracts away the maintenance of underlying infrastructure including compute, storage, memory, and networking. Developers simply upload their code in the form of Lambda functions and the service fully handles the execution of these functions.

Challenges with Monitoring Knockout.js Web Applications

Web applications like knockout.js help you to reach out to your audience and customers. And as your customer base increases, your web-application evolves so that you can cater to their varying needs. But the more features you introduce in your application, the more requests and responses need to be handled by your applications. That, coupled with design (CSS) can make your web applications pretty bulky. You must be thinking, “So what!

SNMP vs WMI: the advantage of less resource consuming monitor types

WMI (Windows Management Instrumentation) is an actual standard to access and/or control Windows components, services and applications. With its query language (resembling the SQL used by many relational databases), WMI allows collecting information from multiple sources, so-called providers. However, this comes at a cost: running WMI query is a resource- and time-consuming operation (comparing to certain alternatives).

What is Subkeying?

Subkeying is a way to group a set of crashes at some level other than the top level of the call stack. Subkeying is a way to group a set of crashes at some level other than the top level of the call stack. At BugSplat, crashes are grouped by a stack key and groups of crashes can be found on the Summary page. By Default, BugSplat groups crashes using the topmost level of a call stack. A subkey is created when crashes are grouped at a level other than the top level of a call stack.

Getting Microsoft Azure Data into Splunk

If you're reading this, you're probably wondering how to get data from various Microsoft Azure services into Splunk. With the growing list of Azure services and various data access methods, it can be a little cloudy (pun intended) on what data is available and how to get all that data into Splunk. In this blog post, I'm going go over how Microsoft makes Azure data available, how to access the data, and out-of-the-box Splunk Add-Ons that can consume this data. So let's dive right in.

Introducing the Datadog Operator for Kubernetes and OpenShift

As more environments run on Kubernetes—including our own— Datadog has been making it easier to get visibility into clusters of any scale. To minimize load on the Kubernetes API server, the Datadog Agent runs in two different modes. The node-based Agent queries local containers or external endpoints for data, while the Cluster Agent fetches cluster-level metadata from the API server.

How to identify and resolve front-end performance bottlenecks

We all want lightning-fast websites and applications, but how do we prioritize our efforts in order to have the biggest impact on performance? We interviewed our own front-end team so we could share some best practices we use every day to improve and maintain the performance of Raygun.

Redis monitoring 101: Metrics to watch

Redis, which stands for Remote Dictionary Server, is an open source, in-memory data structure store that’s used as a database, memory cache, and message broker. It stores data entirely in memory in the form of key-value pairs. This gives it an edge over all other databases, as it eliminates the need to access data from the disk. It also makes Redis one of the fastest NoSQL databases, where data is accessed in microseconds because there are no seek time delays.