API Gateway is a powerful tool for creating a coherent API out of a set of multiple disconnected remote function providers, and API Gateway with AWS Lambda, when used properly, can give you the capacity to create truly powerful serverless APIs. However, given that API Gateway is a layer between your requests and the code itself, there are latency concerns that API Gateway Lambdas may face that may not be present when working with other architectures.

Reliability and user experience are no longer just “nice to have” features. Many companies provide similar services and competition is just a click away. Those with state-of-the-art offerings will be ahead of the pack and have more resources for ongoing improvements. Certainly, speed and uptime are not for free, but the good news is that even with a small budget, reliable applications can be realized.

Pune, India – June 21, 2019 – CloudHedge Technologies today announced it raised funding from NTT DATA Corporation, Japan. CloudHedge’s technology agnostic platform brings automation and intelligence to enterprises in their digital journey to modernize applications. In addition, CloudHedge has grown multi-fold in containers, Kubernetes and cloud ecosystems around the globe.

One of the great promises of serverless has always been that it would free developers to focus on writing code without having to give too much consideration to the underlying infrastructure. But the advantages presented by the instantly, infinitely scalable nature of serverless come with limitations and unique considerations that you need to take into account.

These days, a major part of most IT budgets is the cloud bill. But unlike server-bound infrastructure budgeting, cloud bills can be unpredictable and highly variable from month to month. However, if organizations embrace cloud cost optimization to regulate cloud bills and avoid surprises, they’ll find themselves with considerable found money that can be reinvested into other areas.

Ever wondered what’s under the hood of your neighbors’ car, the situation in their wallet or the configuration of their serverless stack? Well wonder no more! Today we will bring you the statistics of Dashbird so you could compare your Lambda functions with others. Unfortunately, the car and the wallet thingy you should figure out on your own. Let’s start… (I hope you like charts)

Cloud environments are becoming increasingly complex, with applications and even infrastructures changing constantly. Despite their dynamic nature, these environments must be monitored constantly for teams to ensure the stability, security, and performance of workloads running in them. Tracking these infrastructure changes is one of the most important—and one of the most difficult—parts of maintaining a cloud environment.

I was recently called upon to secure an Nginx web server with HTTPS, and my goal was to set this up with a certificate obtained from AWS Certificate Manager. It took me a while to figure out how to get everything configured and working. Hopefully someone else who is attempting to do the same thing will read this and I can save you some time!

Most enterprises don't use "the cloud," but rather an intricate mix of hybrid, multi, public and private clouds. Their success depends on their ability to orchestrate and automate this complex environment into a single, smooth workflow.

Monitoring an Azure environment can be a challenging task for even the most experienced and skilled team. Applications deployed on Azure are built on top of an architecture that is distributed and extremely dynamic. But all is not doom and gloom. Azure users have a variety of tools they can use to overcome the different challenges involved in monitoring their stack, helping them gain insight into the different components of their apps and troubleshoot issues when they occur.