Operations | Monitoring | ITSM | DevOps | Cloud

Unsurprisingly, application crashes due to fatal errors can be a major pain point for iOS users. Recent research shows that roughly 20 percent of mobile application uninstalls were due to crashes or other code errors. As a developer, it’s paramount to manage this potential churn by capturing comprehensive crash data in order to track, triage, and debug recurring issues in your iOS apps.

Within any enterprise, IT operations teams use a variety of solutions to monitor their technology ecosystem. These products are often business critical and cannot easily be replaced or migrated. Ultimately, it’s important that teams can analyze and correlate data from these different tools so they can produce the insights they need to improve decision making. To help address these requirements, Broadcom offers RESTMon.

Here at Ivanti, we are excited about Android 12. I’m pleased to share that we offer day-zero compatibility and key feature support across the Ivanti product portfolio for the new features built into Google’s updated OSs. Android 12 brings plenty of new things to see and experience with a combination of security and privacy.

Putting machines to work to enhance our everyday lives has been well-ingrained in our society for at least a couple of centuries now. IT workers use machine learning (ML) in their daily work routines, even if they don’t consciously realize it. Automated email alerts, issue escalations, and security patching are just a few examples of how ML has put the systems we rely on to work for us.

How do you determine whether one multifamily deal is better than another? Let me start by saying that a deal is only as good as the assumptions you’re making as an investor, and assumptions are not guaranteed to materialize. As a real estate investor, operator and syndicator through my company Blue Lake Capital, a significant part of our analysis when considering properties to invest in is looking at how the property performed in the past.

At Torq, we use gRPC as our one and only synchronous communication protocol. Microservices communicate with each other using gRPC, our external API is exposed via gRPC and our frontend application (written using VueJS) uses the gRPC protocol to communicate with our backend services. One of the main strengths of gRPC is the community and the language support. Given some proto files, you can generate a server and a client for most programming languages.

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don’t even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.

Application Performance Monitoring (APM) tools are a critical component of distributed applications now. But choosing the right APM tool can be tricky. In this article, we go through a list of the top 21 APM tools including open-source APM tools which can help monitor and improve your application performance.