Automation of operational tasks frees the workforce to strategize and innovate in their respective quarters and develop new mechanisms to accelerate an organization’s overall performance. That paved way for low code platforms to become a new reality in the realm of app development. Microsoft’s Powerapps is one such platform whose usage has flared up in recent years as a solution that enables app building with zero knowledge of codes and programming.
Returning to the workplace post-COVID-19 will require a careful balance of coordination, sensitivity, and logistics. You may be grappling with questions such as: Our Back to Work webinar series can help you think through these questions and more to ensure proper COVID management once you’re back in the workplace.
If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.
Kamon APM wakes up today with a new home page for all your observability data: the all-new Kamon APM Service Map! The Service Map shows a real-time representation of all your microservices and the dependencies between them, combined with health status and easy access to the most important bits of data from your entire infrastructure.
Setting up a proper monitoring overview over your application’s performance is a complex task. Normally, you’d first need to figure out what you need to monitor, then instrument your code, and finally make sense of all the data that has been emitted. However, with a few things set in place, and an APM that natively supports Ruby, it’s easier than ever to take this step. In this post, we’ll show you how you can do it too.
Take the 2021 State of DevOps Survey here. This year marks the 10-year anniversary of our industry-defining State of DevOps research. You’d think after 10 years that there wouldn’t be much more to say about DevOps, but practices and technologies continue to evolve, the best keep getting better, and we keep unearthing new topics to research.
This Logz.io Infrastructure Monitoring tutorial will cover how to get started with our latest product, our new Prometheus-as-a-Service metrics solution that’s based on Prometheus. Engineers monitor metrics to understand CPU and memory utilization for infrastructure, duration and serverless execution, or for network traffic. For more advanced metrics monitoring operations, teams can send custom metrics to monitor signals like the number of active users.
When a website is compromised to steal credit card information, a link to a malicious JavaScript file is normally inserted into the website’s code. This file then loads what is called the skimmer, the code responsible for skimming personal and financial details from customers.
The use of honeypots in an IT network is a well-known technique to detect bad actors within your network and gain insight into what they are doing. By exposing simulated or intentionally vulnerable applications in your network and monitoring for access, they act as a canary to notify the blue team of the intrusion and stall the attacker’s progress from reaching actual sensitive applications and data.
