Kubernetes (K8s) is at the forefront of modern infrastructure, but with its capabilities comes a deluge of telemetry data. Efficiently managing and optimizing this data is crucial to harnessing the full potential of your Kubernetes deployments.

The Digital Operational Resilience Act (DORA) is set to significantly impact the financial sector. Coming into full effect in 2025, this EU regulation will set new standards for information and communications technology (ICT) risk management. In this landscape, how can financial firms ensure they’re not only compliant, but also operationally resilient?

The financial and operational ramifications of downtime have become increasingly pronounced over the past seven years. In 2014, Gartner predicted that downtime costs organizations an average of $300,000 per hour. However, recent statistics lie in sharp contrast to this 6-figure estimate, with 44% of organizations now counting their hourly downtime costs at over $1 million - exclusive of the ensuing penalties or legal fees.

Today, Canonical announced the release of Charmed Spark – an advanced solution for Apache Spark® that provides everything users need to run Apache Spark on Kubernetes. Apache Spark is suitable for use in diverse data processing applications including predictive analytics, data warehousing, machine learning data preparation and extract-transform-load (ETL).

We’re super excited to announce that we have shipped the first release of our solution for big data – Charmed Spark. Charmed Spark packages a supported distribution of Apache Spark and optimises it for deployment to Kubernetes, which is where most of the industry is moving these days.

The transition from traditional on-premises IT infrastructure to the public cloud has brought substantial relief to IT decision-makers and sysadmins. Since many organizations use Microsoft Windows as their preferred operating system, Microsoft Azure has become the public cloud provider of choice automatically owing to a familiar GUI and Active Directory sync.

Distributed systems, such as modern microservices-based applications, are highly scalable, but also highly complex. Dependencies and unexpected interactions between services are a common cause of incidents, and these incidents are also notoriously hard to test for. xk6-disruptor — an extension that adds fault injection capabilities to Grafana k6, the open source reliability and load testing tool — can help overcome these challenges.

If you think you might be outgrowing your current remote monitoring and management (RMM) platform, this RMM health checklist will help you pinpoint whether it’s time to change. Even if you’re not at that point yet, running through this process regularly will help ensure that you don’t let things drag on longer than you need to if there is an issue.

Once upon a time, employment dictated where you lived. This widespread understanding led to a networking effect that amplified the appeal of cities. Cities, in turn, attracted skilled individuals, providing companies with a compelling incentive to establish a presence there and thereby draw even more talent. Notable locales like New York, Los Angeles, and Silicon Valley emerged as epicenters for high-caliber talent and the organizations that employed them.

At 2bcloud, we take pride in our commitment to helping visionary companies like Bridgewise transform their business through innovative cloud solutions. Bridgewise is on a mission to redefine the equity research industry by harnessing the power of advanced AI, making financial insights more accessible and reliable than ever before.