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New Grafana Labs features aim to simplify observability

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Grafana Labs on Tuesday unveiled a series of new features aimed at simplifying the oversight of data and IT processes, including Explore Apps that enable customers streamline exploration and an automated tool that targets cost reduction by identifying usage patterns.

In addition, the vendor introduced new capabilities that enable customers to monitor the performance of machine learning projects and the large language models used to train AI models and applications.

Collectively, the new features accomplish Grafana Labs’ goal of making its platform easier to use, according to Torsten Volk, an analyst at TechTarget’s Enterprise Strategy Group.

“These latest updates simplify the adoption of Grafana’s observability platform by a wider range of user roles,” he said. “Many of the new features and capabilities allow less experienced or simply less technical users to monitor and troubleshoot cloud native apps and multi-cloud environments within a business context.”

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In addition, the new capabilities further Grafana Labs’ evolution from a vendor of data visualization software for time series data to a complete observability specialist, Volk continued.

“Their initial claim to fame was the flexibility of their dashboard interface and their ability to query and visualize data from basically any source,” he said. “This turns Grafana into a serious contender in the observability space.”

Based in New York City, Grafana Labs is an open source vendor.. Using its tools, customers can monitor metrics to track the performance of various data management and IT operations.

The vendor’s LGTM stack includes Loki for logs to keep track of metric performance, Grafana for dashboards to easily view metrics, Tempo to monitor applications for failures and Mimir to provide access to the open source Prometheus platform’s capabilities for overseeing microservices and containers.

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To date, Grafana Labs has raised over $800 million in funding, including $270 million in August 2024 and $240 million in April 2022.

Competitors include Datadog, Dynatrace and Splunk.

New capabilities

OpenAI’s launch of ChatGPT nearly two years ago led to an explosion of enterprise interest in developing AI models and applications.

Generative AI has the potential to help businesses by enabling non-technical employees to work with data through true natural language processing as well as make technical experts more efficient by reducing repetitive tasks and automating previously manual processes.

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To benefit from generative AI, developers need to combine the capabilities of either public large language models (LLMs) such as ChatGPT and Google Gemini or internally developed smaller language models with their organization’s proprietary data. Developers can then train AI models and applications that understand their organization to respond to queries about its operations as well as take over tasks such as data discovery and data observability that were previously done by data engineers and other data experts.

In response, Grafana Labs developed a feature that enables customers to track the performance of LLMs, including latency and cost. The tool uses open source tools to observe LLMs and sends its findings to Grafana Cloud where they can be visualized using the vendor’s AI observability capabilities.

In addition, as enterprises develop more AI and machine learning tools, Grafana Labs worked with design partner Nvidia to develop a tool to observe machine learning experiments by tracking certain model metrics and developed GPU monitoring capabilities to help developers better understand their workloads.

Beyond new tools for monitoring AI-related processes, significant new features unveiled by Grafana Labs include Adaptive Logs and new root cause analysis capabilities resulting from the vendor’s November 2023 acquisition of Asserts.ai.

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Adaptive Logs are an automated tool now generally available that aims to lower observability costs by identifying log file patterns and creating customized recommendations so that users can retain important log file patterns and eliminate unnecessary ones.

“The cost of ingesting, processing, and storing telemetry data is one of the biggest pain points in observability today,” Volk said. “It is exciting to see Grafana attack this challenge head on by pruning telemetry data based on its predictive value.”

Meanwhile, using the technology inherited with its acquisition of Asserts.ai, Grafana Labs unveiled a set of AI and machine learning-based tools that automate anomaly detection within applications and infrastructure systems and provide troubleshooting recommendations.

“This … is a key capability that helps organizations lower operations cost by focusing on what really matters,” Volk said. “By filtering out noise and surfacing actionable insights, engineers can resolve incidents faster, reducing downtime and improving reliability.”

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While Volk highlighted Adaptive Logs and root cause analysis, Tom Wilkie, Grafana Labs’ chief technology officer, called out Explore Apps as an important addition to the Grafana Labs platform.

Explore Apps are prebuilt user interfaces that enable users to query data without having to know query languages such as PromQL, LogQL, or TraceQL.

With the collective goal of the new features being to simplify using Grafana Labs’ observability platform and to help new users quickly and easily get started with its use, Explore Apps directly address ease of use.

The first Explore Apps were Explore Metrics and Explore Logs. Now, Grafana Labs is adding Explore Traces and Explore Profiles, both of which are in public preview.

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“Our Explore Apps are designed to make data exploration and analysis more accessible and user-friendly, Wilkie said. ” These tools help junior [site reliability engineers] and developers perform at the same level as someone with decades of experience. I think it’s going to help a lot of teams resolve issues faster and overall become more efficient.”

Additional new Grafana Labs features — among others — include the following:

  • Cloud Provider Observability, now generally available, to let users monitor their AWS, Google Cloud and Microsoft Azure usage.
  • K6 Studio, a low-code/no-code test authoring tool that eliminates the need to hand-script in JavaScript to create tests.
  • Incident rooms to capture and provide real-time call transcripts that include data related to incidents when tools or services fail to provide their designated outcome.

While the goal of many of the new features is to simplify querying and analyzing observability data, the impetus for developing them came from customer feedback in concert with Grafana Labs’ market observations, according to Wilkie.

One key observation has been a heightened emphasis on cost control. For example, Adaptive Logs is among the tools the vendor developed to help customers manage their IT spending.

“We know companies can’t simply get rid of their observability stack, so we’re making it more cost-effective for them without losing any functionality,” Wilkie said. 

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Plans

Just as many of Grafana Labs’ new features center on making its platform easier to use, the vendor’s near-term roadmap is focused on further simplifying the platform to appeal to a broader audience of users, according to Wilkie.

After its founding in 2014, Grafana Labs focused on open source dashboarding that enabled users to visualize observability data from nearly 200 sources. Four years later, the vendor added Loki, Tempo and Mimir to its platform to offer more complete observability capabilities.

Now, Grafana Labs’ aim is adding features such infrastructure observability, reliability testing, incident response management and application observability.

“Now, we’re in Act III, focused on bringing our observability technologies to a mainstream audience,” Wilkie said. “That’s where you’ll continue to see a lot of innovation from us in the next six to 12 months.” 

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Volk, meanwhile, suggested Grafana Labs add more role-based features to enable users such as developers, administrators and security experts to collaborate as they detect and address problems.

In addition, the vendor could add more machine learning capabilities to automate more of the observability process, he continued.

“Grafana needs to continue to double down on providing role-specific capabilities to proactively detect, optimize, and — eventually — automatically address issues,” Volk said. “The platform needs to … accumulate and retain the lessons learned from solving these issues as the basis for future automated issues resolution.”

Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.

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Apple Store employees in Oklahoma City ratify their first union contract

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Apple Store employees in Oklahoma City ratify their first union contract

Employees at an Apple Store in Oklahoma City’s Penn Square Mall have voted to ratify their first collectively-bargained contract. The store’s workers are part of the Communications Workers of America, operating as Apple Retail Union-CWA Local 6016. The employees’ three-year agreement with Apple includes the following, according to a press release from CWA:

  • “Wage increases of up to 11.5% over the next three years.”

  • “Worker involvement in scheduling and guaranteed paid time off to vote.”

  • “A safer and more democratic workplace with a grievance and arbitration process and the establishment of joint Safety and Health and Working Relations committees.”

  • “Job protection in the event of a store closure or relocation and severance pay.”

  • “Guaranteed paid time off, health and other benefits.”

Today’s news caps off years of to unionize and secure a contract for the Penn Square Mall Apple Store, which began organizing in early 2022. The parties reached a in early September after a unanimous strike authorization vote in August and a store picket.

The Oklahoma City employees are the second group of Apple retail workers to reach a contract through their union. An Apple Store in Maryland was the first of the tech company’s retail stores to unionize, the International Association of Machinists and Aerospace Workers in June 2022.

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Northvolt lays off 1,600 workers, but it’s not the end for Europe’s battery champion

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Northvolt lays off 1,600 workers, but it’s not the end for Europe’s battery champion

When is raising $14 billion not enough? When you’re a battery startup.

Northvolt, Europe’s attempt at building a competitor to Asia’s battery manufacturing powerhouses, announced on Monday that it had halted work on a factory expansion and laid off 1,600 employees, or about 20% of the workforce.

The company was planning to expand its Ett factory in northern Sweden to scale production to 30 gigawatt-hours annually. The expansion would have supplied cathode active material (CAM), a key component required to make completed cells. On September 9, the company also axed another CAM production site in Sweden. Without those factories, Northvolt will almost certainly have to buy it elsewhere, likely from overseas.

The cost cutting is the result of lower-than-expected demand growth, Northvolt said, as automakers trim their forecasts for electric vehicle production. Execution problems are probably also to blame. In June, the company was unable to fulfill an order for BMW on time, leading the German automaker to cancel the €2 billion contract. Northvolt did not immediately reply to TechCrunch’s request for comment, though it’s hard to see how that didn’t influence the company’s cost-cutting measures.

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Ultimately, Northvolt faces two challenges. 

For one, all battery startups face significant execution risk. Though batteries appear simple from the outside, the chemistry inside is fiendishly complex. It isn’t easy to develop materials that can store energy safely at high densities, that can be recharged at increasingly higher rates, and that can survive for more than a decade inside an automobile. Producing them at a massive scale only compounds the challenge. Just ask GM and LG what happens when you don’t get it right.

Northvolt has additional hurdles to surmount. It’s essentially building a copy of what Asian countries like China and South Korea already possess: a mature, scaled battery-manufacturing sector. Both China and South Korea have been working on it for decades, with consistent government support along the way. By comparison, Northvolt is only eight years old, and it only recently received substantial assistance from the EU and other governments.

The U.S. tried something similar nearly 20 years ago with A123 Systems. The startup pioneered production of lithium-iron-phosphate batteries, which stored less energy than other chemistries but were more durable and safer to charge. It started by selling to power tool manufacturers and then began courting automakers, who even in the late 2000s were projected to buy the sort of volumes that would support large-scale domestic manufacturing.

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A123 was in the running to make battery packs for the Chevrolet Volt, but after losing out to LG, its only customer ended up being the first iteration of Fisker, which was also making a plug-in hybrid. After one of those cars caught fire during Consumer Reports’ testing, A123’s fate was all but sealed.

What those high-profile stumbles don’t reveal were the other obstacles A123 faced, most of which revolved around standing up a battery supply chain where there was none. Northvolt has been a bit more successful, in part because there is some political appetite to make it happen. But the Swedish company’s announcements about curtailing CAM production show it’s still not easy to accomplish.

The second challenge that Northvolt faces is that automakers, its key partners, haven’t been able to decide where they stand on EVs. After years spent talking up the transition to all-EV lineups, they’ve since backed off the most aggressive targets. Most automakers’ early forecasts proved overly optimistic, and they appear to have underestimated the amount they’d need to invest to produce successful products. In the face of weaker-than-expected tailwinds, they have plunged into developing hybrids and plug-in hybrids, which require far fewer batteries. 

To succeed in early markets requires all players to have conviction. Automakers, parts manufacturers, and investors all need to have bought into an EV future. If any one of them blinks, they all suffer. Northvolt is feeling that pain today.

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Does it spell the end of battery manufacturing in Europe or North America, where Northvolt has plans to expand? Hardly. Demand for EVs is still strong and growing. And because batteries are heavy and expensive to ship, it makes sense to produce them near EV factories. Strong incentives courtesy of the Inflation Reduction Act and the European Green Deal help tip the scales further. That doesn’t mean Northvolt can be complacent — it still has to prove it can execute. But by the time that gets sorted, it’s likely the market will be ready for it.

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DOJ sues Visa for locking out rival payment platforms

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DOJ sues Visa for locking out rival payment platforms

The Department of Justice has filed an antitrust lawsuit against Visa, alleging that the financial services firm has an illegal monopoly over debit network markets and has attempted to unlawfully crush competitors, including fintech companies like PayPal and Square. The lawsuit, which was first rumored by Bloomberg, follows a multiyear investigation of Visa which the company disclosed in 2021.

“We allege that Visa has unlawfully amassed the power to extract fees that far exceed what it could charge in a competitive market,” Attorney General Merrick Garland said in a statement. “Merchants and banks pass along those costs to consumers, either by raising prices or reducing quality or service. As a result, Visa’s unlawful conduct affects not just the price of one thing — but the price of nearly everything.”

“Visa’s unlawful conduct affects not just the price of one thing — but the price of nearly everything”

Visa makes more than $7 billion a year in payment processing fees alone, and more than 60 percent of debit transactions in the United States run on Visa’s network, the complaint claims. The government alleges that Visa’s market dominance is partly due to the “web of exclusionary agreements” it imposes on businesses and banks. Visa has also attempted to “smother” competitors — including smaller debit networks and newer fintech companies — the complaint alleges. Visa executives allegedly feel particularly threatened by Apple, which the company has described as an “existential threat,” the DOJ claims.

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According to the complaint, Visa entered into paid agreements with potential competitors as part of an effort to fend off competition from newer entrants into the payment processing industry. These practices have allowed Visa to build an “enormous moat” around its business, the complaint alleges.

Regulators have had their eyes on Visa for a while. In 2020, the DOJ filed a civil antitrust lawsuit to stop Visa’s $5.3 billion acquisition of Plaid, a fintech company, arguing that Visa was attempting to snuff out a “payments platform that would challenge Visa’s monopoly.” Acquiring Plaid, the DOJ’s complaint claimed, was Visa’s “insurance policy” to protect against a “threat to our important US debit business.” Visa and Plaid scrapped their plans for a merger in 2021 as a result of the DOJ’s lawsuit. 

Payment processors are a ubiquitous part of Americans’ lives, and they’re increasingly powerful internet gatekeepers. In 2020, Visa and Mastercard stopped processing payments on Pornhub after reports of illegal content on the site. The following year, OnlyFans announced (before ultimately abandoning) a ban on “explicit sexual content,” citing payment processors’ reticence to work with the website because of its reputation as a porn platform. But the DOJ argues that Visa didn’t come by this dominance fairly — and it’s taking steps to stop it.

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ASICS enlists angry Brian Cox to highlight how dangerous your desk can be to your mental health

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Brian Cox as world's scariest boss for Asics

New research involving 26,000 participants has revealed the vital importance of movement for office workers, confirming that continuous desk work can have a drastic impact on your mental health. 

A new study commissioned by ASICS, dubbed ‘State of Mind,’ has revealed “a strong connection between sedentary behavior and mental well-being with State of Mind scores declining the longer individuals remain inactive.” 

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Social media companies change their policies in the wake of bad press

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Social media companies change their policies in the wake of bad press

Social media companies appear to be sensitive to criticism

Shutterstock/easy camera

Negative news stories about social media platforms appear to be highly effective at pressuring companies into changing their policies.

Christian Katzenbach at the University of Bremen, Germany, and his colleagues analysed policy changes across Facebook, Twitter (now X) and YouTube between 2005 and 2021, and how media coverage from 26 major English-language publications affected their policies. (New Scientist was not among the publications picked by the researchers.)

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“There are really significantly more changes in…

Article amended on 26 July 2024

We clarified the kind of news stories the AI model was trained on

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Arlo Secure gets powerful new AI features

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Arlo Secure gets powerful new AI features
A bundle of Arlo products on a white background.
Arlo

If you own an Arlo device, subscribing to Arlo Secure is all but a necessity. Membership unlocks heaps of additional features (such as 30-day video history and smart activity zones), and signing up has just grown more enticing with the reveal of Arlo Secure 5. The updated platform now incorporates new Arlo Intelligence (AI) to bring added functionality to your smart security system.

With the arrival of Arlo Secure 5, members will now benefit from Person Recognition, Vehicle Recognition, and Custom Detection. The first two allow you to name previously detected faces and vehicles, so when one is scanned by your cameras, you’ll get a personalized alert about who is on your property.

Custom Detection is currently offered as a beta program, but it lets you create your own detection program for various movements on your property. For example, you can train your camera to detect when the garage door is left open or if lights are left on in a certain room.

It seems like a powerful feature with tons of customization options — and it’ll be interesting to see how users implement Custom Detection in their homes.

Alerts on the Arlo smartphone app.
Arlo

“Arlo continues to lead the industry with our advanced AI and Computer Vision capabilities, including custom detections, vehicle recognition, and person recognition, that deliver even more peace of mind to Arlo users,” said Matthew McRae, chief executive officer at Arlo. “Our relentless focus on smart home security backed by our commitment to also protect our customers’ data and privacy will continue to drive more industry-first innovations that customers can trust to safeguard their loved ones.”

To unlock the new Arlo Intelligence features, you’ll need to sign up for Arlo Secure Plus or Premium. Arlo Secure Plus costs $15 per month, while Premium costs $21 per month. Most users will find Secure Plus to be the best option, though if you’re seeking an affordable home security system with professional monitoring, stepping up to Premium isn’t a bad idea.

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For more choices, be sure to check out our roundup of the best DIY home security systems.






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