In part one of our PHP logging blog series, we discussed what logging is and covered the basics of creating logs in PHP applications using the PHP system logger. While the PHP system logger automatically records critical events like errors in code-execution, a more customized logging setup can be achieved using PHP functions. For part two, let's look at the basics of creating custom error logs by calling PHP functions.
With copious amounts of data getting added across online platforms, safeguarding data and ensuring a secure environment are concerns among business entities. To offer a secure and reliable service, you need to identify loopholes, implement preventive measures to thwart attacks, and ensure customer data privacy. You need a valid Secure Sockets Layer (SSL) certificate to secure your online presence.
The world is moving into a post-covid era and a cloud boom is on the horizon. Businesses require a higher return on ROI for every penny invested in a cloud service like AWS. To accomplish this, Site24x7 provides a personalized cloud assistant to attain the most out of your cloud investment. Site24x7's Guidance Report for AWS helps you adopt industry best practices in AWS and make informed decisions.
Logging is essential to application development. Logs provide exhaustive, robust information that is useful for tracking all the changes made to an application's code. PHP logs help you track the performance of the method calls within your application, the occurrence of a particular event, and the errors in your application. With proper PHP logging techniques, you can track and optimize an application's performance.
Application performance monitoring (APM) solutions were designed to catch anomalies in an application or website's backend and provide meaningful insights to rectify issues in real time. Lately, though, APM solution providers have been left playing catch-up to be more inclusive of newly emerging technologies and the operational challenges they bring. OpenTelemetry (OTel) simplifies the issues caused by the demands of modern applications.
Do you love reading about how various performance-related issues are traced out and fixed? If so, here's our story of how we fixed the Redis performance issues we were facing by optimizing JedisPool. We hope this will help you strengthen your IT environment. Our Redis performance issues and efforts to find the cause
Before we take a deep dive into the ways to achieve observability, it is important to understand what observability is and how it is achieved. Frequently, observability is confused with monitoring. Observability provides end-to-end visibility into a system’s internal health by using the data it generates: logs, traces, and metrics. In a multi-cloud environment, observability enables you to detect and resolve anomalies.
Monitoring as code (MaC) is a shift in thinking that is now being increasingly adopted in software development. Knowing the significance of MaC and incorporating monitoring in the development process early on brings a great number of benefits for DevOps teams.
AWS Lambda is a compute service that lets you run code on high-availability infrastructure without any server provisioning. You can perform tasks such as maintenance of servers and operating systems, capacity provisioning, automatic scaling, and code logging and monitoring. When using AWS Lambda, you are just responsible for your code. Lambda manages the resources needed to run your code, like CPU, network infrastructure, and memory.
