Observability
Users have high expectations around applications — quick loading times, look and feel visually advanced, with feature-rich content, video streaming, and multimedia capabilities — all of these devour network bandwidth. With millions of users accessing applications and mobile apps from multiple devices, most companies today generate seemingly unmanageable volumes of data and traffic on their networks ...
In this second part of the blog series, we look at how adopting AIOps capabilities can drive business value for an organization ...
The findings of the 2022 Observability Forecast offer a detailed view of how this practice is shaping engineering and the technologies of the future. Here are 10 key takeaways from the forecast ...
Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, or DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today's observability efforts across hybrid and multi-cloud environments. As with most observability challenges, AIOps starts with telemetry data: metrics, logs, traces, and events ...
IT teams feel overwhelmed by too many tools that do not provide a unified view of the entire IT infrastructure, according to The Shift to Unified Observability: Reasons, Requirements, and Returns, a new independent survey conducted by IDC in collaboration with Riverbed ...
In the DevOps world, observability is trumpeted and lauded in many corners. However, in reading much of the coverage, there seemed to be some more fundamental issues at play. It's time to demystify the idea of observability, shedding light on what it means in a broader context. And once we break down the concept and its true value to an organization, let's answer a more important question: Are we approaching an observability tipping point? ...
Digital businesses don't invest in monitoring for monitoring's sake. They do it to make the business run better. Every dollar spent on observability — every hour your team spends using monitoring tools or responding to what they reveal — should tie back directly to business outcomes: conversions, revenues, brand equity. If they don't? You might be missing the forest for the trees ...
Every day, companies are missing customer experience (CX) "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue ...
Organizations are moving to microservices and cloud native architectures at an increasing pace. The primary incentive for these transformation projects is typically to increase the agility and velocity of software release and product innovation. These dynamic systems, however, are far more complex to manage and monitor, and they generate far higher data volumes ...
It has become increasingly difficult for DevOps and SRE teams to minimize the impact of issues and ensure high-quality end-user experiences. In this blog, I'm going to propose a new approach to support real-time use cases — edge observability — that enables you to detect issues as they occur and resolve them in minutes ...
The most sophisticated observability practitioners (leaders) are able to cut downtime costs by 90%, from an estimated $23.8 million annually to just $2.5 million, compared to observability beginners, according to the State of Observability 2022 from Splunk in collaboration with the Enterprise Strategy Group. What's more, leaders in observability are more innovative and more successful at achieving digital transformation outcomes and other initiatives ...
Between 2012 to 2015 all of the hyperscalers attempted to use the legacy APM solutions to improve their own visibility. To no avail. The problem was that none of the previous generations of APM solutions could match the scaling demand, nor could they provide interoperability due to their proprietary and exclusive agentry ...
For the past decade, Application Performance Management has been a capability provided by a very small and exclusive set of vendors. These vendors provided a bolt-on solution that provided monitoring capabilities without requiring developers to take ownership of instrumentation and monitoring. You may think of this as a benefit, but in reality, it was not ...
Increasingly, more and more software is being delivered as software as a service (SaaS). Gartner forecasts the SaaS market to continue to expand to $145B in 2022. Consumers and businesses not only have become accustomed to, but also expect SaaS-based solutions, even more so in the post-COVID world. This new frontier allows features to be rolled out at an unparalleled velocity paving the way for continuous innovation and sustainable competitive advantages ...
In this 3 part series, I will explore, contrast, and discuss the differences as well as the history of APM and the meteoric rise of Modern Observability, why these two are related but simultaneously are vastly different in outcome. Indeed, Modern Observability is disrupting the world, and organizations doing it right are realizing massive gains in innovation, reaping the benefits of higher performance and optimization across numerous dimensions including ...
Despite all of the advancement and maturity of observability systems, production issues take longer to resolve, according to the DevOps Pulse 2022 Report from Logz.io ...
The past couple years fostered an unprecedented expansion of digital transformation initiatives and projects across nearly every industry. In order to maintain "business as usual" during the world's transition to being fully remote or hybrid, companies had to implement new digital services, or update existing ones, to allow transactions to take place online versus in person. As a result, companies' digital strategies quickly grew in significance, playing a larger role in the ultimate success of the business ...
Enterprises wrestle with true observability because most observability data remains dark or unexploited. The scale, complexity, variety of data consumers, and runaway costs make it difficult for enterprises to get value from their machine data. There are other technical and organizational challenges, such as data and department silos, the complexity of managing data in cloud-native and hybrid cloud environments, and the inefficiency of single-pane-of-glass approaches to route data to appropriate destinations. Let's take a look at three of the most pervasive pain points, according to the survey, holding enterprises back from observability nirvana ...
While the pandemic forced enterprises to uproot their traditional network infrastructures to better accommodate masses of people working from home or alternate locations, they are coming to grips with a new reality including many issuing decrees that many employees may never return to the office ...
Still not convinced on the value an AIOps platform offers? Consider this: one minute of downtime at Amazon costs the company roughly $220,000 in revenue. With that kind of money on the line, SRE and DevOps teams forced to manage availability by writing rules and querying logs manually are set up to fail — and failure is costly. AIOps is the necessary lift your monitoring tools need to improve performance and cut out the toil for DevOps and IT teams. Here are five ways AIOps does exactly that ...
Logs produced by your IT infrastructure contain hidden gems — information about performance, user behavior, and other data waiting to be discovered. Unlocking the value of the array of log data aggregated by organizations every day can be a gateway to uncovering all manner of efficiencies. Yet, the challenge of analyzing and managing the mountains of log data organizations have is growing more complex by the day ...
Our growing dependence on the cloud and Internet for business means we must take time to prepare for downtime and latency issues. There are valuable lessons found in most failures, and the Internet outages of 2021 certainly provide ample motivation to revamp processes for mitigating system disruptions. Here are six take-aways from 2021's Internet fails that can be used to increase efficiencies in managing the system infrastructure of any enterprise, no matter its size or sector ...
The shift to containers and microservices is a key component of the digital transformation and shift to an all encompassing digital experience that modern customers have grown to expect. But these seismic shifts have also presented a nearly impossible task for IT teams: achieve ceaseless innovation whilst maintaining an ever more complex infrastructure environment, one that tends to produce vast volumes of data. Oh and can you also ensure that these systems are continuously available? ...
Having a variety of tools to choose from creates challenges in telemetry data collection. Organizations find themselves managing multiple libraries for logging, metrics, and traces, with each vendor having its own APIs, SDKs, agents, and collectors. An open source, community-driven approach to observability will gain steam in 2022 to remove unnecessary complications by tapping into the latest advancements in observability practice ...
These are the trends that will set up your engineers and developers to deliver amazing software that powers amazing digital experiences that fuel your organization's growth in 2022 — and beyond ...
