Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.
Before, to know detect a website changed its content or not, you had to manually visit the website and check by yourself. This is a thing from the past! Tools such as Hyperping can send instant alerts in case of changes. One way is making sure your API or marketing site returns the expected content. Some servers return an expected status code (200, OK) but can often return the wrong content in the response body, whether it is HTML content or JSON.
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.
In times where it is possible to instantly access information, the website is the main point of communication with the market for every company. The website is often the place where the crucial first impression is built. It generates leads, sells, provides customer service, gets in touch with the media, recruits etc. It is the company’s website that the traffic from advertising campaigns gets directed to—and not only from the online ones.
So you have been adding more and more logs to your Graylog instance, gathering up your server, network, application logs and throwing in anything else you can think of. This is exactly what Graylog is designed for, to collect all the logs and have them ready for you to search through in one place. Unfortunately, during your administration of Graylog you go the System -> Overview screen and see the big bad red box, saying you are having indexing failures.
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.
We are going to talk about an essential part of AWS Lambda called “AWS Step Functions.” What are Step Functions? Why are they important for AWS Lambda users? What are they used for, and what can we expect to get by using them? Bare with us, and discover more critical information on Step Functions throughout this article. We’ll begin with the explanation of what are Step Functions. AWS Step Functions service is the most recent service released by none other than Amazon Web Services.
If you’re in developing business, you’ve probably heard about AWS Lambda by now. In case you haven’t, AWS Lambda has been among us for years, and it certainly brought a whole new level for running a code. The benefits of using AWS Lambda are vast, and many developers already use AWS Lambda daily. If you’re not among them, read through this article to learn more about what AWS Lambda can do for you and your code.
