Operations | Monitoring | ITSM | DevOps | Cloud

5 steps to shift from reactive to proactive field service

Proactive field service is about being one step ahead of your customers. It requires systems that meet customer needs while minimizing their efforts. When thinking about moving from a reactive field service model to a proactive one, most people jump to the Internet of Things (IoT), servitization, and outcome-based services. But it’s important to first create an operationally efficient foundation that benefits both customers and employees. These five steps can help.

Cloud-Native Package Management for the Banking Industry

Software development in the banking and finance industry can make you feel like you’re wearing chains. Regulation, compliance, upfront costs, privacy, legacy systems, fear of cyberattacks, and an “if it ain’t broke” approach can lead to a lack of innovation. Despite these challenges, some technology-forward banks like Capital One, JP Morgan Chase, HSBC, and Wells Fargo have embraced the cloud and introduced DevSecOps and cloud-friendly architectural practices.

Troubleshooting Alerts the Right Way: As a Team

At Netdata, we love two things more than anything else: Our goal is to make troubleshooting and monitoring as seamless as possible with the open-source Agent. This includes giving you pre-configured alerts so that you get notified immediately when a disruption occurs. The Netdata Agent comes with over 250 pre-configured and optimized alerts.

High-Performance Javascript in Stream - Why the Function in Your Filter Matters

Being a Cribl Pack author, I frequently receive questions related to why I chose to implement a certain functionality inside my Packs the way I did. A few lives ago, I worked for a Fortune 250 oil & gas company where I managed our SIEM environment. We didn’t have much in terms of system resources, so we needed to make everything run as efficiently as possible. (Maybe that’s where I get my love for performance from?)

4 Mobile Vitals to Keep a Pulse on Your Flutter Applications

Flutter is one of the fastest-growing open source cross-platform development frameworks. The likes of BMW, Google Pay, Tencent, and iRobot all use Flutter to quickly build and maintain mobile applications. In fact, Flutter was used by 42% of software developers in 2021, surpassing React Native as the most popular cross-platform mobile framework.

Furthering Your Own Professional Development

Everybody has ambitions, and while some of these might relate to how they develop personally, they might also be regarding their careers, and where they want to end up in that regard. While it might sound easy enough in theory to continue working along the necessary professional path until you end up at your ideal location, things are never quite so simple - and that's without even considering how you maneuver around other things, such as responsibilities in your personal life.

Best practices for monitoring mobile app performance

In a crowded and competitive market, mobile app developers must offer continuous availability and a frictionless user experience to minimize churn. Monitoring and maintaining mobile apps presents unique challenges. Since mobile apps run on a wide range of devices, it can be difficult to get clear visibility into client-side performance.

How B2B Brands Can Protect Critical Business Information Through Cybersecurity

With digitalization and the “upgradation” of technology, e-commerce businesses have managed to gather a huge volume of data. It is the age of the internet of things (IoT) and industry-disrupting technologies like cloud computing, big data, mobile apps, and cloud cybersecurity are now major priorities for businesses. Over the past ten years, malware infections have been on the rise, of which 92% were delivered by email.

Apache Kafka Consumer Lag Monitoring

The world lives by processing the data. Humans process the data – each sound we hear, each picture we see – everything is data for our brain. The same goes for modern applications and algorithms – the data is the fuel that allows them to function and provide useful features. Even though such thinking is not new, what is new in recent years is the requirement of near-real-time processing of large quantities of events processed by our systems.