For years, we’ve been installing what vendors have referred to as “agents” that reach into our applications and pull out useful telemetry information from them. From monitoring agents, to full-blown APM tools, this has been the standard for many decades. With OpenTelemetry though, the term “agent” isn’t used as much, and in most scenarios means something slightly different.

Modern hybrid IT estates generate huge volumes of data at velocity, a testament to today’s digital reality. But for IT Operations Management (ITOM) teams charged with keeping tabs on system health, this data proliferation can be a nightmare scenario. Tool sprawl, alert storms, manual analysis, and disconnected insights make maintaining a current state, let alone supporting better business outcomes, a perpetual challenge.

According to PYPL (PopularitY of Programming Language), Python has been the most popular programming language worldwide from 2018 to the present. Remarkably, Python’s popularity has grown by 2.5% over the last five years. In contrast, Java, the previously most popular language, has seen a 4.8% decrease in its popularity. While Java is typically faster than Python, Python is easier to read with its simpler syntax.

Observing Edge & WAF solutions is challenging. There are a host of unique problems to overcome, including security complexities and traffic intent identification. Let’s explore the complexities of observing edge data and how Coralogix’s revolutionary features take an entirely new approach to edge observability.

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.