The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
When we are faced with a performance problem related to those responsible for the applications and those responsible for the network platform, we usually think about how useful it would be to have a traffic analyzer that clarifies the real origin of the problem. Now, many times we see network analysts who after installing the tool feel overwhelmed by the amount of information it offers them.
A common problem faced by website users across the world is the slow loading of webpages. One major reason for this is the time taken by images to load. As website developers struggle with their site’s loading time, help is at hand in the form of the online tool “Piio”. This tool mechanically creates real-time images for websites and helps them load at very high speeds.
The increase in ransomware attacks and high-profile data breaches over the last few years has reinforced the importance of data security. It should be noted that WannaCry infected more than 300,000 computers worldwide, encrypting sensitive business data and disrupting productivity for an entire week.
We are thrilled to announce Dash 2019, the second year of Datadog’s conference on building and scaling the next generation of applications, infrastructure, and technical teams. This two-day conference will be attended by forward-thinking software developers and operations engineers who are taking the velocity, performance, reliability, and scale of their organizations to the next level.
With continuous integration becoming standard practice, getting full visibility into your CI pipelines has become a key part of monitoring and troubleshooting. Datadog gives you that visibility with out-of-the-box support for several continuous integration tools, including: GitLab, Jenkins, Travis CI, CircleCI and TeamCity. Monitoring your CI servers can help you identify bottlenecks in your pipelines.
On this episode of Exception Perceptions, Katy Farmer, InfluxData’s Developer Advocate, tells us all about Kubernetes (also known as K8s). Watch the episode, and then accompany Katy on her journey to uncover the “captain” of containerization’s secrets.
Forty-three percent of application performance problems occur because of an issue in the application code, according to a DZone study. Code-level issues include bugs in the code constructs, such as long waits, poor iterations, inefficient code algorithms, unhandled exceptions, bad choice of data structures, etc. Developers and application owners need code-level insight, so they can pinpoint issues in the code and fix them before users notice.
The software review and comparison site CompareCamp recently reviewed Downtime Monkey, and we’re really pleased to have received awards for ‘Great User Experience’ and ‘Rising Star 2018’.
In part 1 of this series, I discussed the rise of microservice architecture and the reliance on Kubernetes and Docker for container orchestration and management. I also shared some of the challenges these new technologies present and what sources of data we need in order to effectively monitor our Kubernetes environments.
