Operations | Monitoring | ITSM | DevOps | Cloud

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Beyond RPA: Your Checklist to Unlocking the Full Potential of Automation

Robotic process automation (RPA) initiatives often falter because enterprise application leaders choose use cases that involve intricate business logic, extended workflows, and require significant orchestration or additional technologies to deliver business value. In essence, RPA is not well-suited for complex workflows, lengthy processes, and those requiring extensive coordination.

Introducing Toto: A state-of-the-art time series foundation model by Datadog

Foundation models, or large AI models, are the driving force behind the advancement of generative AI applications that cover an ever-growing list of use cases including chatbots, code completion, autonomous agents, image generation and more. However, when it comes to understanding observability metrics, current large language models (LLMs) are not optimal.

How to run fault injection tests on AWS managed services

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Fully-managed SaaS services offer incredible scalability and accessibility, but at a cost: they’re also single points of failure. If your application depends on a SaaS service and the service fails, guess who your customers will blame? We need to design applications to anticipate and work around managed service failures, but how do we do that without having to wait for the service to fail?

Spend a little time on software reliability now instead of a lot of time later

You're going to spend time fixing reliability—but it's your choice whether it's during an outage or ahead of time on your schedule and for less costs. Which will you choose? "We all know when things go wrong, it cost us a million dollars and it was really bad. Let's have that never happen again. But when we say, I need every engineering team to spend one hour, one day a week on reliability, does everyone lose their mind, or is that a reasonable request? Can we amortize out the cost of that?

Best Practices for Seamless Hybrid Meetings

Hybrid work is very much here to stay. But in spite of that, many companies still haven’t come around to the idea, meaning the tools and systems offered aren’t always used to best effect. This leaves these businesses unprepared to embrace the hybrid world of work we now all find ourselves in. Take hybrid meetings for example – which combine in-person and remote participation, using digital tools to facilitate communication and collaboration across various locations.

Transforming Financial Connectivity: Introducing Megaport Financial Services Exchange (FSX)

Over the past six years at Megaport, I’ve witnessed a growing desire for change in the Financial Services (FS) industry, particularly regarding application and data mobility within organizations and with third-party partners. Initially, many in FS approached cloud adoption tentatively, waiting until it was fully matured and trusted across the industry. Today, however, the FS sector is one of the largest users of cloud services globally.

How to Improve Efficiency: Eliminate Issues and Reduce MTTR with Keysight Technologies

At Keysight Technologies, engineers are the core of the business. These engineers place high demand on their technology, to support the high demands of their work. If engineers are bogged down by technical issues, that has a direct impact on product development and business outlook – creating an imperative for IT at Keysight Technologies to provide a seamless digital workplace.

Optimizing Apache AirFlow on EKS with Spot Ocean

As Data Scientists and Engineers in a fast-paced corporate environment, our daily activities are filled with numerous challenges. One of the most daunting obstacles we face is the management of infrastructure and related costs. Each task or model we work on must be scheduled meticulously, cost-optimized, and equipped with the right CPU and memory specifications. On top of that, we must also supervise their dependencies.

Get Insights into backend infrastructure with Caches, Queues, Requests, & Queries

To create exceptional products, developers need to understand the behavior of backed systems; however, we generally have the most control over the applications we’re deploying (not their dependent infrastructure). With this in mind, we’ve added new Insights to Sentry, providing visibility into common backend building blocks such as Caches, Queues, Queries, and Outbound Requests so you can quickly troubleshoot and debug issues when they occur.

Create an HAProxy AI Gateway to Control LLM Costs, Security, and Privacy

The introduction of ChatGPT two years ago caused sharply increased interest in (and use of) large language models (LLMs), followed by a crush of commercial and open source competition. Now, companies are rushing to develop and deliver applications that use LLM APIs to provide AI functionality.