Operations | Monitoring | ITSM | DevOps | Cloud

On one hand, organizations are increasingly relying on web applications to engage customers and deliver value across multiple touchpoints. On the other hand, the complexity of web application environments has intensified significantly due to the prevalence of microservices architecture, content delivery networks (CDNs), and load balancing, among others. At the same time, end users expect a web application to be highly responsive, available around the clock, and accessible from anywhere on any device.

Slack is one of the most popular tools for communication and collaboration used by large enterprises as well as small organizations. One of the amazing features of Slack is its ability to work with other tools to provide additional functionality that would not be readily available otherwise. Catchpoint integrates with Slack to provide our customers with enhanced performance monitoring and incident management. In this blog post, we look at the recent updates in the Catchpoint-Slack integration.

With Pandora FMS SaaS monitoring you can start operating almost instantly, using our Enterprise technology, thanks to any of our certified partners who offer this service. This allows you to focus exclusively on the operational aspects, control costs and growth from the very first minute, without having to invest in training, licenses, management, updates, initial implementation, etc. Let’s cut to the chase.

Today we released API 2.0, the latest version of TruSTAR’s API-First Intelligence Management Platform. This new version continues our commitment to simplify and streamline intelligence for automation in enterprise security intelligence management, and breaks through long-standing industry limitations around operationalizing data orchestration and normalization.

InfluxDB Cloud offers a transparent usage-based pricing model that only charges users on the work performed, with no minimums or long-term commitments. This puts YOU in charge of what you spend. However, with four separate pricing vectors, it’s not always easy to see exactly where that cost is going, or how to estimate your potential spend based on your data usage.

Managing IT operations is becoming increasingly complex due to the evolution of IT systems, the recent shift to a hybrid workforce, changing client requirements, and many other reasons. This is why IT admins like you need a solution that allows you to deal with these complex ongoing problems effortlessly.

Modern applications are often composed of countless distributed services, which makes it difficult to understand dependencies, isolate bottlenecks, and remediate errors. Datadog APM helps you tackle this complexity by allowing you to search and analyze 100 percent of your traces in real time. But without a dynamic view of your architecture, it can still be challenging to contextualize a specific request without getting lost in the details.

Time flies and Healthchecks.io is already 6 years old. Here’s a quick review of notable recent events and the project’s current state.

Current observability practice is largely based on manual instrumentation, which requires adding code in relevant points in the user’s business logic code to generate telemetry data. This can become quite burdensome and create a barrier to entry for many wishing to implement observability in their environment. This is especially true in Kubernetes environments and microservices architecture.

Transactions are sent when your service receives a request and sends a response, like an API call or a page load. Within each transaction is a series of operations. We built Operations Breakdown to help you, the developer, quickly see how much time was spent in each operation within a transaction. Why? Simple, so you can address the operations with the longest duration and likely causing annoying performance issues for your customer.