Organizations like yours are increasingly reliant on complex IT infrastructures to support their operations. Pervasive use of Kubernetes and microservices architectures continues to up the ante. Amidst this complexity, achieving comprehensive visibility into systems and applications has become both imperative for ensuring performance, reliability, and security, while also becoming ever-more challenging to achieve.

We're excited to unveil a new collaboration with Focused Labs, a leap forward in our shared commitment to advancing modern observability practices and enhancing the robustness of legacy systems. This partnership is not just about scaling our service offerings but also about integrating Focused Labs' deep engineering expertise with our observability platform to deliver unparalleled customer experiences.

Regardless of the industry they operate in or the number of people they employ, businesses with mature observability practices can respond to incidents faster — and save time and money in the process, according to the second annual Grafana Labs Observability Survey. Organizations are making observability a critical part of their software development lifecycles as they grapple with the complexity of modern applications.

SolarWinds® Observability now brings more intelligence to issue identification to help you troubleshoot smarter and faster. When an entity alert is triggered, Log Patterns automates an AIOps / ML-based analysis of events surrounding the triggering event. Using Log Patterns, you can skip the hours spent manually scrolling through event messages looking for unusual or significant patterns.

Now, many teams are incorporating microservices architecture, with this trend only continuing. This allows them to employ their applications across distributed environments. Whilst this is advantageous as it makes it much simpler to build, scale, and deliver it can also become much more challenging to monitor and troubleshoot the components that make up the environment.

In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, as their customers (and regulators) demand more from banking providers.

Naming things, and specifically consistently naming things, is still one of the most useful pieces of work you can do in telemetry. It’s often overlooked as something that will just happen naturally and won’t cause too much of an issue—but it doesn’t happen naturally, it does cause issues, and you end up having to fix the data in pipelines or your backend tool.