Systems | Development | Analytics | API | Testing

Cloud

Webinar: Unlocking the Value of Cloud Data and Analytics

From data lakes and data warehouses to data mesh and data fabric architectures, the world of analytics continues to evolve to meet the demand for fast, easy, wide-ranging data insights. Right now, nearly 50% of DBTA subscribers are using public cloud services, and many are investing further in staff, skills, and solutions to address key technical challenges. Even today, the amount of time and resources most organizations spend analyzing data pales in comparison to the effort expended in identifying, cleansing, rationalizing, consolidating, and transforming that data.

Enterprise data and analytics in the cloud with Microsoft Azure and Talend

The emergence of the cloud as a cost-effective solution to delivering compute power has caused a paradigm shift in how we approach designing, building, and delivering analytics to business users. Although forklifting an existing analytics environment into the cloud is possible, there’s substantial benefit for those that are willing to review and adjust their systems to capitalize on the strengths of the cloud.

Kong Expands AWS Offerings with Marketplace Listing and EKS Anywhere

Kong has been hard at work to provide our customers’ the best user experience of running our products in the AWS cloud. We’ve seen tremendous growth in our partnership with AWS in terms of joint solutions (co-build), building awareness through events and workshops (co-market), and growth in the adoption of our solutions (co-sell). In fact, Kong has seen exponential growth in our Kong on AWS business year over year.

Distributed tracing with Envoy, Kuma, Grafana Agent, and Jaeger

As a cloud service provider, observability is a critical subject as it's strongly related to the availability of the services running on the platform. We need to understand everything that is happening on our platform to troubleshoot errors as fast as possible and improve performance issues. A year ago, while the platform was still in private beta, we faced a tough reliability issue: users were facing random 500 errors when accessing their applications.

Overcoming Data Security Challenges in Cloud Computing

As we transition to a cloud computing architecture, data security and privacy must be given top priority. Data loss or data leakage can negatively affect an organization’s brand, reputation, and customer confidence. Data misuse is possible when multiple organizations share resources. Therefore, it is essential to protect data repositories as well as the data that is involved in processing, transport, or storage to reduce risk.

Types of Cloud Computing Platforms and their Benefits

We are in post-pandemic times but certain things are not going back to “normal”. Although we get used to spending long hours using technology, businesses and people are still having a hard time jumping into a fully cloud-based environment, and that’s ok. There are some risks to consider depending on the business industry, like privacy protocols, control of data, and so on.