Operations | Monitoring | ITSM | DevOps | Cloud

As part of our big tent philosophy at Grafana Labs, we think you should be able to dig into your data and find meaningful insights — wherever that data happens to live. For many of our users, that data lives in Salesforce, the cloud-based customer relationship management (CRM) platform. In this post, we’ll take a closer look at how you can use the Salesforce Enterprise data source for Grafana to quickly and easily visualize your Salesforce data using Grafana dashboards.

When application performance monitoring detects a spike in latency or error rates, the immediate challenge is determining the underlying cause. APM logs address this by correlating performance metrics with the specific log events that occurred at the same time. Instead of switching between monitoring dashboards and manually searching through log files, APM log correlation consolidates both views.

For SaaS startups, speed and reliability are everything. A few seconds of downtime or slow performance can turn away users, impact sign-ups, and directly affect revenue. Unlike traditional apps, SaaS platforms operate on an always-on model, which means performance and scalability must be built in from day one. PHP remains one of the most popular choices for startups due to its flexibility, cost-effectiveness, and fast development cycle.

PHP has been powering the web for over two decades and continues to be a dominant server-side scripting language. From small business websites to massive enterprise applications, PHP sits at the heart of many critical digital experiences. "But with great popularity comes great responsibility and challenges" Performance bottlenecks, security vulnerabilities, and inefficient coding practices can cripple applications, frustrate end-users, and burn out engineering teams.

Service level agreements (SLAs) are the contractual backbone between customers and technology vendors, outlining expected service availability, performance metrics, and remedies like service credits when service providers fail to meet agreed-upon service levels. This service agreement assures both the technical quality as well as the service quality of the services provided, and underpins the value perspective of the client.

Most companies run post-mortems like autopsies. They dissect the corpse, assign blame, and file it away. The body count keeps rising. Here's what actually works: post-mortems as learning machines. Systems thinking over finger-pointing. Patterns over pain. What you'll get: A copy-paste template, real metrics that matter, and the mindset shift that turns outages into intelligence. Who this is for: SRE leads tired of repeating incidents. Engineering managers who want learning over theater.

In collecting and analyzing trillions of events each day, Datadog ingests a massive amount of data. We spend substantially to process and store this data in the cloud, and teams across the organization are committed to optimizing the return on this investment. To this end, our FinOps analysts have always tracked the costs of delivering our services and identified opportunities for savings.