Well, the answer is yes and no. Containerization is a relatively new technology and needs significant efforts to containerize an application, orchestrate, secure, manage and monitor it. Hence it’s worth looking at what does it take to containerize, deploy and run an application in real production in bit details for you to take a call whether you want to venture into it yourself or not.
In a previous post, I explained the role Apache Kafka plays in production-grade ELK deployments, as a message broker and a transport layer deployed in front of Logstash. As I mentioned in that piece, Redis is another common option. I recently found out that it is even more popular than Kafka! Known for its flexibility, performance and wide language support, Redis is used both as a database and cache but also as a message broker.
As a cloud provider and DevOps-focused company, we definitely want to practice what we preach. We see the benefits of a modern cloud native architecture, so we built our hosting of www.civo.com and api.civo.com (our application) to take full use of these modern decisions. This post describes our approach to Continuous Integration (CI) and Continuous Deployment (CD) from a Chief Technical Officer's perspective.
No matter what tools your team uses, more effective collaboration results from sharing information and context, being able to react quickly, and automating repetitive processes. Development teams move faster when they can consolidate information in one central hub and can reduce context switching by switching less between different tools.
Continuous integration and continuous deployment (CI/CD) has enabled teams to build and deploy software at a much faster pace. DevOps teams can build, test, and deploy changes to production in a matter of minutes, allowing for extremely rapid release cycles. However, a CI/CD pipeline has a lot of moving parts and steps where problems to occur. In order to ensure a successful deployment, it’s important to monitor each step in this process.
Every day that I commute home, I check Google Maps for the next Trimet bus arrival at the usual stop. There’s nothing wrong with this ritual but it always distracts or leaves me stalled for a few empty minutes. Ever the proponent of laziness automation, I decided to build a stack that will do this for me by texting incoming arrival times for my bus home.
Ben Kehoe wrote a post about AWS API Gateway to Lambda integration: How you should — and should not — use API Gateway proxy integration with Lambda. In his post, Ben gave a few reasons why he believes using API Gateway Proxy Integration is an anti-pattern. Ben does a great job summarizing how the integration works. He writes: The pattern that I am recommending against is the “API Gateway proxy integration” as shown in the API Gateway documentation here.
Docker has changed the way we build, package, and deploy applications. But this concept of packaging apps in containers isn’t new—it was in existence long before Docker. Docker just made container technology easy for people to use. This is why Docker is a must-have in most development workflows today. Most likely, your dream company is using Docker right now. Docker’s official documentation has a lot of moving parts. Honestly, it can be overwhelming at first.
Amazon EventBridge is a serverless event bus that routes real-time data streams from your applications and services to targets like AWS Lambda. EventBridge facilitates event-driven application development by simplifying the process of ingesting and delivering events across your application architecture, and by providing built-in security and error handling. We are excited to announce that you can now use our new integration to route Datadog alerts to EventBridge with minimal configuration or setup.
Azure Lighthouse is a new feature that provides improved access management for users and applications across different Azure tenants. With Azure Lighthouse, managed service providers (MSPs) can manage their customers’ environments more easily and efficiently than ever before. Datadog is proud to announce support for Azure Lighthouse, which ensures that MSPs can implement a streamlined, scalable approach to monitoring their customers’ Azure environments.
