Today I’m going to continue to speak about how to Protect your Logic Apps. But today we are going to address how you can Secure data in the run history by using obfuscation.

Combining AWS Outposts Rack with Direct Connect optimizes performance for demanding enterprise workloads. Megaport’s Outposts Ready Direct Connect solution simplifies the networking side.

The future may be a mystery, but plenty of signs are pointing forward in the tech world. Improvements in technology are rapidly evolving and are positively impacting the way in which almost all industries operate. These improvements fuel innovation in the digital realm and across all sectors, from healthcare to manufacturing to education. But why care about what's next before it even happens?

With frequent software changes for hundreds of services over multiple environments, even a small change made by a developer can generate an unexpected blast radius in production. The standard Kubernetes deployment strategy ignores this modern complexity layer. DevOps organizations that maintain complex solutions have already understood that it’s not scalable and costly to manage.

If you use Amazon Web Services, you have two load balancing options for your applications: Classic Elastic Load Balancer (CLB) and Application Load Balancer (ALB). And while choice is always good, the CLB vs. ALB debate can be intimidating. Which load balancer is right for your application? Is ALB better than CLB, or vice versa? This blog explores these questions.

Prometheus is a widely utilized time-series database for monitoring the health and performance of AWS infrastructure. With its ecosystem of data collection, storage, alerting, and analysis capabilities, among others, the open source tool set offers a complete package of monitoring solutions. Prometheus is ideal for scraping metrics from cloud-native services, storing the data for analysis, and monitoring the data with alerts.

Looking back on the last 18 months, it is abundantly clear that one piece of technology found its moment more than any other: cloud. Essential to modern computing, cloud provides the capacity for businesses to run workloads with the flexibility and scale many firms would struggle to achieve with on-premise infrastructure. According to Flexera’s 2021 State of the Cloud Report, 90% of firms slightly or significantly increased their cloud usage due to the pandemic.

With costs rising across the board, business leaders are seeking to become more savvy about their tech expenditure. It’s now well recognised that without proper oversight, cloud costs can easily spiral out of control, but reducing spend isn’t always easy. Understanding when and where to make changes to your infrastructure is what is key to maximising productivity and ROI from cloud infrastructure investments.

The conflict between engineers and finance is notorious. Finance thinks engineers just want to build cool products regardless of the cost. Likewise, engineers often feel their every move gets monitored by hawkish finance employees who seem to only care about costs. How can you, as a leader, encourage both teams to work together harmoniously? And what can you do to diffuse the situation when engineers feel attacked for their infrastructure choices?

Cloud optimisation enables organisations to significantly lower their cloud spending while ensuring the desired performance and necessary compliance. It’s a process that every business should adopt when choosing cloud infrastructure as a foundation for their applications. It’s been proven that applying cloud optimisation best practices leads to a total cost of ownership (TCO) reduction of two-thirds under certain circumstances. But let’s step back for a second.