For you, one or more of these statements (and / or challenges) likely apply to you, and the organization for which you work. Which of these are you hearing or saying? Splunk can help you with these in many ways. Today, I am highlighting one way to address many of these statements, specifically with the Content Pack for Splunk Observability Cloud.
With the demand to meet service level agreements (SLAs), any on-call SRE can tell you that incidents always happen at the wrong time. Things break when you least expect them to (on a date, about to beat a new level in a video game, pizza delivery just arrived, asleep at 3am). During these inopportune moments, you want to make sure it's easy to get the data you need, no matter which device is nearby.
Whether you are a site reliability engineer or an application developer, you need visibility into the health and performance of every service you run or support. But in complex, dynamic environments, it can be difficult to ensure that all services are accounted for. With Universal Service Monitoring, SREs and other engineers in your organization can get shared visibility into golden signals for HTTP(S) requests across all your services, without redeploying them or touching a single line of code.
An application’s success depends on many factors. One of the most crucial is how it performs when actual users interact with it. The chances are that even if you properly prepare your entire software development strategy, problems will occur at some point or another.
The JFrog Security research team has recently disclosed two denial of service issues (CVE-2021-37136, CVE-2021-37137) in Netty, a popular client/server framework which enables quick and easy development of network applications such as protocol servers and clients. In this post we will elaborate on one of the issues – CVE-2021-37136.
Observability has gained a lot of momentum and is now rightly a central component of the microservices landscape: It’s an important part of the cloud native world where you may have many microservices deployed on a production Kubernetes cluster, and a need to monitor these microservices keeps rising. In production, quickly finding failures and fixing them is crucial. As the name suggests, observability plays an important role in this failure discovery.
As I said before, Speed is King. Business requirements for applications and architecture change all the time, driven by changes in customer needs, competition, and innovation and this only seems to be accelerating. Application developers must not be the blocker to business. We need business changes at the speed of life, not at the speed of software development.