The latest News and Information on Cloud monitoring, security and related technologies.
Though the volume of serverless talks is lower this week, the quality and impact lacked nothing. Two must-see presentations emerged highlighting important practices for succeeding with serverless in the enterprise.
When providing services to your customers you need to keep an eye on everything that could impact your success with that – from low-level performance metrics to high-level business key performance indicators. From server-side logs to stack traces giving you full visibility into business and software processes that underpin your product. That’s where cloud monitoring tools and services come into play.
We’ve talked about how serverless architecture is a great option for companies that are looking to optimize costs. Just like with all app building and developments, monitoring the performance of your implementation is crucial and we, the folks at Dashbird, understand this need all too well – this is why we’ve spent the better part of the past year and a half to create a monitoring and observability solution for AWS Lambda and other Serverless services.
Twitter as a social media channel has obviously taken the world by storm. Everything that happens and is trending around the globe takes place or is reported on Twitter. Additionally, most tech and cloud providers offer outage and support feeds through Twitter as a way of communicating problems and notifying customers. Example technology companies include Microsoft for Microsoft 365 Status, Azure and their products. Also Internet Service Providers like Comcast, CenturyLink and more.
Load balancing is an element of most popular web applications. The reason for this is simple: Load balancers maintain application scalability and sustainability. It’s nearly impossible to imagine a modern application handling continuous traffic or periodic traffic spikes while relying only on a single running server’s capacity. As a result, load balancers have become a critical part of software development.
Monitoring and analytics have been an issue for Serverless systems since they were invented. While it’s easy to attach an agent like NewRelic or DataDog to a server or container, function monitoring requires a different approach. Serverless applications, where logic is distributed over a large number of functions, attaching agents or wrappers leads to cost increase and development overhead.
