We work best by coming together. That’s why we built the JFrog DevOps Platform, bringing together our set of solutions to operate as a single, unified user experience. That unity powered by Artifactory 7 helps bring total understanding and control of your software build pipelines. To keep it running, you also need a unified, real-time view of the entire platform’s operation.
In this week’s Tip Tuesday, we are focusing on API monitoring. APIs are a set of rules or standards, which extend the functionality of an application, allowing different applications and/or programs to interact. These little helpers are built with flexibility and ease of integration in mind. APIs simplify programming, allowing developers to build complex applications without having to worry about usability.
The ongoing pandemic and resulting economic downturn have led to dramatically changing market conditions. As a consequence, technology teams have become increasingly concerned with the need to minimize their financial risk and reduce costs to mitigate the effects of abruptly pivoting to a fully remote working environment. For some, there has been a struggle to maintain business continuity—i.e., keeping the physical components of the business running when everyone is working from home.
When you perform a search in Elasticsearch, results are ordered so that documents which are relevant to your query are ranked highly. However, results that may be considered relevant for one application may be considered less relevant for another application. Because Elasticsearch is super flexible, it can be fine-tuned to provide the most relevant search results for your specific use case(s).
Efficient team communication requires the proper set of tools and processes, ensuring that the right persons receive timely messages. This way, recipients are well-informed of a critical issue, while having time to address the incident. Unfortunately, a large helicopter services company relied on time-wasting procedures to communicate with stakeholders, resulting in delayed incident response and resolution.
The most common API architecture on Serverless backends is not necessarily the most scalable and resilient option. Many developers take for granted that an AWS Lambda processing external requests will require an API Gateway endpoint connected directly to it. One of the best options to decouple a Lambda function and an API Gateway endpoint is by using an SQS queue. Requests come into API Gateway, which are sent as messages to SQS.
In this article, we are going to have a look at using Jaeger clients with W3C Trace-Context propagation format. The standardized context propagation format assures interoperability between different tracing systems and instrumentation libraries. In this regard we are going to explore two use cases. First how to use OpenTelemetry SDKs in Jaeger instrumented environment.
In recent weeks we’ve all been disrupted by the Covid-19 pandemic, both personally and professionally. The changes have been swift and severe, bringing new meaning to the Boy Scout motto: “Be Prepared.” While certain sectors, like the restaurant industry, have been brutally affected by lockdowns, we’ve also seen encouraging signs of last-minute ingenuity. At the end of March, national chain The Cheesecake Factory warned that it would not be able to pay rent.
Ubuntu has supported ZFS as an option for some time. In 19.10, we introduced experimental support on the desktop. As explained, having a ZFS on root option on our desktop was only a first step in what we want to achieve by adopting this combined file system and logical volume manager. I strongly suggest you read the 2 blog posts, linked above, as introductions to this blog series we are starting. Here we cover what’s new compared to 19.10 in term of installation and general features.
Data science has exploded as a practice in the past decade and has become an undisputed driver of innovation. The forcing factors behind the rising interest in Machine Learning, a not so new concept, have consolidated and created an unparalleled capacity for Deep Learning, a subset of Artificial Neural Networks with many “hidden layers”, to thrive in the years to come.
