The March OpsRamp Platform update included the following: Improved Inference Context for Incident Management, New Cloud Monitoring Capabilities for AWS and Microsoft Azure Workloads, User Interface Updates
AWS introduced Lambda Layers at re:invent 2018 as a way to share code and data between functions within and across different accounts. It’s a useful tool and something many AWS customers have been asking for. However, since we already have numerous ways of sharing code, including package managers such as NPM, when should we use Layers instead? In this post, we will look at how Lambda Layers works, the problem it solves and the new challenges it introduces.
The ELK Stack is a great open-source stack for log aggregation and analytics. It stands for Elasticsearch (a NoSQL database and search server), Logstash (a log shipping and parsing service), and Kibana (a web interface that connects users with the Elasticsearch database and enables visualization and search options for system operation users). With a large open-source community, ELK has become quite popular, and it is a pleasure to work with.
Stackery is a tool to deploy complete serverless applications via Amazon Web Services (AWS). Epsagon monitors and tracks your serverless components to increase observability. Here’s how they can not only work together but improve each other. Let’s start with a scenario: it’s late in the day on Thursday, traffic to your site is way up, and you have reports of problems.
Cognito is AWS’s cloud solution for authentication – if you’re building an app that handles users with passwords, you can use AWS to handle the tricky high-risk security issues related to storing login credentials. No need to go it alone! Pricing is based on your number of monthly active users, and the first 50k users are free. For apps I’ve worked on, we would have been very pleased to grow out of that free tier.
I’m in a position where I converse with our customers and cloud service providers, and I keep track of conversations happening through blogs and social media. I then sift through all this data to identify patterns and trends. Lately, I’ve seen some talk about an architectural pattern that I believe will become prevalent in the near future.
Lumigo VP Product Avishai Shafir rounds up the most interesting talking points from the three-day Serverless Architecture Conference, held in The Hague, Netherlands.
Continuing the trend from last year, in 2019 we see more organizations riding the wave of Serverless and Kubernetes, and many are starting to see tangible results. The widespread adoption of these technologies, however, has only just begun. Below, we examine five trends in serverless that are sure to impact the way organizations develop and deliver software for years to come.
AWS is the most popular cloud platform for enterprises, and with good reason. Amazon has massive infrastructure around the world, and many years of experience with it. Whether your network is completely on the cloud or you have a hybrid network, using AWS saves your business a lot of money and physical space. You benefit from Amazon’s tremendous economies of scale, and a lot of the tedious work involved in maintaining a network can be delegated to them.
Great writers use metaphors to get their point across so let me give that a try real quick. Bugs are nasty little pests, mm’key? It’s hard to get rid of them but apart of just spraying poison everywhere, there are only a few options left. One of those options is using a natural predator to those bugs, a predator like birds. So birds can help you get rid of bugs. I work for a company called Dashbird that help developers debug their AWS Lambda applications. See what I did there?
