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.
Even in this field of work, not everything can be perfected 100%. There are always some situations and cases that will force you to go back or even remain in the present spot, despite your wish to keep going forward at your own pace. In this article, we’ll talk about the cold start impact on latency. What is it? How to fight against it? Is there a successful way of avoiding it or not?
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.
An immeasurable amount of data, in its raw, unfiltered form, exists all around us. For most of us, to be able to properly categorize and “read” that data, we first must convert it into a format that we can understand – which is where the log viewer comes in.
The high-level steps for implementing chaos experiments involve: defining your application’s steady state, hypothesizing the steady state in both the control and experimental groups, injecting realistic failures, observing the results, and making changes to your code base/infrastructure as necessary based off of the results.
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.
During the Entity Extraction For Product Searches talk that Radu Gheorghe and I gave at Activate conference in Montreal last year, we talked about various natural language processing and machine learning algorithms. We showed entity extraction both on top of Solr and using external libraries. In this post we dig into Learning to Rank with Solr Streaming Expressions.
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.
